<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.126816.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>The average age of first marriage for Indonesian women in their reproductive period who give birth to an average of two children: National survey (2017 &#x2013; 2019)</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Ekoriano</surname>
                        <given-names>Mario</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-3747-7622</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Muthmainnah</surname>
                        <given-names>Muthmainnah</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-7021-0888</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Titisari</surname>
                        <given-names>Anastasia</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-8810-811X</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Devi</surname>
                        <given-names>Yuli Puspita</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-9066-1379</uri>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Widodo</surname>
                        <given-names>Teguh</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Purwoko</surname>
                        <given-names>Edy</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>National Research and Innovation Agency [BRIN], Gedung BJ Habibie Jalan M. H. Thamrin No 8, Jakarta, 10340, Indonesia</aff>
                <aff id="a2">
                    <label>2</label>Department of Epidemiology, Biostatistics, Population Studies and Health Promotion, Faculty of Public Health, Universitas Airlangga, Jalan Mulyorejo Kampus C Universitas Airlangga, Surabaya, East Java, 60115, Indonesia</aff>
                <aff id="a3">
                    <label>3</label>Faculty of Public Health, Universitas Indonesia, Jalan Lingkar Kampus Raya Universitas, Depok, 16424, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:muthmainnah@fkm.unair.ac.id">muthmainnah@fkm.unair.ac.id</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>10</day>
                <month>1</month>
                <year>2023</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2023</year>
            </pub-date>
            <volume>12</volume>
            <elocation-id>35</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>23</day>
                    <month>12</month>
                    <year>2022</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Ekoriano M et al.</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/12-35/pdf"/>
            <abstract>
                <p>Background: The results of the 2020 population census in Indonesia showed that the population has reached 270.020.000 million. This number shows that the population in Indonesia during the last 10 years has increased by around 32,56 million people. One of the BKKBN&#x2019;s efforts to reduce the birth rate in Indonesia is to urge people to marry at the ideal age, 21 years for women and 25 years for men.</p>
                <p>Methods: This study used GPAS/ SKAP data for the period 2017, 2018, and 2019 using the module for women aged (15-49) and the sample used was all women aged 40-49. This analysis used secondary data from the 2017, 2018, and 2019 government performance and accountability surveys.</p>
                <p>Results: The age at first marriage for women should be encouraged to be 25 years old, not 21 years old, which has always been echoed and socialized. Age at first marriage is the most dominant factor in women aged (40-49) to have more than two children (2017 SOR: 4.17 95% CI [1.85-17.31], (2018 SOR: 57.14 99% [4.12-793.67]) (2019 SOR 21.22 99% CI [2.28-197.45]), while only in 2019 the AFM variable after controlling for it remained significant in influencing having children more than 2 (AOR 27.64 99% [2.88-265.20]).</p>
                <p>Conclusion: Women aged (40-49) who have a younger age at first marriage (10-24) have a longer reproductive age range, so they have relatively more children than women who married at the age of 25 and over. After controlling for other factors, the characteristics of women who have a tendency to have more than two children. Therefore, it is necessary to design a health strategy that is more suitable to the needs, characteristics, and capacity of women to reduce the birth rate in Indonesia is to urge people to marry at the ideal age.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>age first marriage</kwd>
                <kwd>women</kwd>
                <kwd>reproductive period</kwd>
                <kwd>early marriage</kwd>
                <kwd>ideal family size</kwd>
                <kwd>national survey</kwd>
                <kwd>good health</kwd>
                <kwd>well-being</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>Government of Indonesia</funding-source>
                    <award-id>SPDIPA-068.01.1.668423/2019</award-id>
                </award-group>
                <award-group id="fund-2">
                    <funding-source>Government of Indonesia</funding-source>
                    <award-id>SPDIPA-068.01.1.668423/2018</award-id>
                </award-group>
                <award-group id="fund-3">
                    <funding-source>Government of Indonesia</funding-source>
                    <award-id>SPDIPA-068.01.1.668423/2017</award-id>
                </award-group>
                <funding-statement>All research survey was funded by the Government of Indonesia (National Population and Family Planning Board). The grant numbers were SP DIPA-068.01.1.668423/2017; SP DIPA-068.01.1.668423/2018; and SP DIPA-068.01.1.668423/2019. </funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>The population census in 2020 in Indonesia showed the total population has reached 270,02 million. This figure, of course, shows that the total population in Indonesia over the last 10 years has increased by around 32.56 million people.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> The increasing number of Indonesians has made the government through the National Population and Family Planning Board (BKKBN) always try to reduce the total fertility rate (TFR) for women aged 15-49 years by setting the TFR to 2.1 in 2024. Various efforts have been made by government, such as increasing the coverage of modern contraceptive use, marrying at the ideal age and providing family planning socialization to the community through IEC (Information, Education, and Communication).
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup>
            </p>
            <p>One of the BKKBN&#x2019;s efforts to reduce the birth rate in Indonesia is to urge people to marry at the ideal age, 21 years for women and 25 years for men.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> Maturation of the age of marriage is not only beneficial for the health of women&#x2019;s reproductive organs, but also shortens the reproductive period of women, which begins at the age of 15 and ends on average at the age of 49 years. Their reproductive years peak at around the age of 20 and decline gradually in their 30s. Women in their 30s who are healthy and fertile have a 20 percent chance of getting pregnant. However, for women who are 40 years old, the chance of getting pregnant is only 5 percent every month.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> Research conducted by Adhikari in Nepal at 2010 also explained that the age at first marriage of a woman significantly significantly effects the average number of children born in Nepal. Women who marry younger will give birth more children until the end of their reproductive age (40-49).</p>
            <p>Meanwhile, the results of the government performance and accountability survey [GPAS/SKAP] from 2016 to 2019 show the trend of the average age at first marriage in Indonesia ranging from 20 to 21 years and the total fertility rate [TFR] from 2016 to 2019 tends to increase. There is no significant change in this figure to achieve the TFR target of 2.1 in 2024. Based on the explanation above, it is necessary to know what is the right age at first marriage for women so that they give birth to an average of 2 children and what factors affected these births over the 3 survey periods. This study also explored the age at first marriage in each island in Indonesia, which of course is also important to know because it has different characteristics.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <sec id="sec3">
                <title>Study design</title>
                <p>This study was a quantitative study with cross-sectional design. This study used secondary data which was Government Performance and Accountability Survey data 2017-2019. The data had been collected for three months (July to October) in each year.</p>
            </sec>
            <sec id="sec4">
                <title>Sampling and recruitment of participants</title>
                <p>The GPAS/SKAP survey in 2017 to 2019 had a three-step sampling framework. The first stage of sampling used a list of villages or sub-districts throughout Indonesia complete with urban/rural classifications. The second sampling framework produced a list of clusters in the selected villages, while the third stage took a sample of selected households based on the household listings made by the enumerator by conducting door-to-door data collection in the selected cluster.</p>
                <p>The GPAS/SKAP survey enumeration is a cluster consisting of several nearby census blocks consisting of approximately 200 households. Stratified multistage random sampling was used as the overall sampling strategy. A total of 1912 clusters were selected from 2017 to 2018 and there were an additional 23 clusters to 1,935 villages in 2019 in Indonesia (spread across 34 provinces and 514 districts). Villages were clusters which constitute the enumeration area and have been allocated to each province based on urban and rural strata using the proportional probability sample method and sizes based on socio-economic background (rural-urban and wealth index) in various regions.</p>
                <p>Then a number of 35 households were selected in each cluster using a systematic random sampling technique which was carried out randomly on a list of all households (listing) by the enumerator/interviewer in the selected cluster, resulting in a total of 66,920 households [GPAS/ SKAP 2017-2018] and 67,725 households [GPAS/SKAP 2019].</p>
            </sec>
            <sec id="sec5">
                <title>Data collection</title>
                <p>A questionnaire trial was also conducted prior to data collection to assess the extent to which participants were able to answer the list of questions, and to observe how the questions matched the smartphone application. The practice of recording households was carried out during the trial to determine the number of households in the selected cluster that could be used as a reference in data collection. The practice of recording is also intended so that interviewers/enumerators can understand the recording mechanism and the ideal number of interviewers when taking notes in the field.</p>
                <p>This survey has 4 four modules, namely the household module, the family module, the module for women aged [15-49] years old and the module for single adolescents age [15-24] years. Data collection was conducted digitally to ensure quality and so the data analysis process could be carried out faster. The enumerator/interviewer was equipped with a mobile phone and the Mobile Collection application (developed from Open Data Kit) includes all modules digitally and these are connected online to a server. Total GPAS/ SKAP of women aged (15-49) in 2017 was 52,340 [15-49] with the unit of analysis 15,978 women aged [40-49]; GPAS/ SKAP of women aged (15-49) 2018 totaled 60,599 [15-49] with a unit of analysis of 17,463 women aged [40-49]; GPAS/SKAP of women aged (15-49) 2019 totaled 59,824 [15-49] with a unit of analysis of 18,007 women aged [40-49].</p>
            </sec>
            <sec id="sec6">
                <title>Ethical considerations</title>
                <p>This research has obtained approval from the Ethics Review Team through a letter from the Head of the Ethics Review Team number 1281/PD.101/H4/2018 and 454/LB.02/H4/2019 and the survey implementation is based on the regulation of the Head of BKKBN number 11/2018. This study obtained the informed written consent from participants by hardcopy and digital were available in Android which only can be accessed by the enumerators, supervisors and central data management. The participants were told that their data would be used and published aggregately.</p>
            </sec>
            <sec id="sec7">
                <title>Data analysis</title>
                <p>Data analysis used normalization weighting for each level in the province aggregated from SKAP/GPAS Report 2019. This study used descriptive and inferential analysis. Descriptive analysis aimed to determine the average age at first marriage by region, while inferential analysis, logistic regression was used (with controlling variables such as education, wealth index, residence, and occupation) to test and determine the most influential variables. So that the data can be used as a basis for making future policies.</p>
            </sec>
        </sec>
        <sec id="sec8" sec-type="results">
            <title>Results</title>
            <p>Based on 
                <xref ref-type="table" rid="T1">Tables 1</xref>, 
                <xref ref-type="table" rid="T2">2</xref> and 
                <xref ref-type="table" rid="T3">3</xref>, it can be seen that when women in the category of age at first marriage [AFM] are 10-14 years old, they have 3 to 4 children on average. The results of the GPAS/SKAP from 2017 to 2019 showedwomen who are married between 10-14 years tend to experience a decrease in births, but still have an average of 3 to 4 children. The highest fertility pattern [of children ever born in ALH] by region for AFM 10-14 years occurred in Maluku Island, namely 5.17 in 2017, then increased in 2018 [5.81] and decreased in 2019 to 4.76. The lowest birth rates in AFM [10-14] years occurred in Java and Bali, namely 3.50 in 2017, experienced a slight increase to 3.52 in 2018 and decreased to 3.19 in 2019.</p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>Table 1. </label>
                <caption>
                    <title>The AFM of each island in Indonesia in 2017.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="top">Island</th>
                            <th align="center" colspan="8" rowspan="1" valign="top">AFM</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Total</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">10-14</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">15-19</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">20-24</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">25-29</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">30-34</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">35-39</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">40-44</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">45-49</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sumatera</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.86</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.53</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.19</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.65</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.05</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.62</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.38</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.00</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.16</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Java and Bali</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.50</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.97</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.55</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.21</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.76</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.51</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.91</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.96</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.64</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">NTT</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.94</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.87</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.71</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.12</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.17</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.89</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.24</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.52</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Kalimantan</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.24</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.44</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.85</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.43</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.87</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.66</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.11</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.35</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.09</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sulawesi</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.94</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.02</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.22</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.62</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.37</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.82</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.88</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.00</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.45</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Maluku</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5.17</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.46</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.87</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.15</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.25</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.94</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.68</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">6.00</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.80</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Papua</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.46</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.80</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.54</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.74</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.40</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.35</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.94</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.55</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.36</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">
                                <bold>Total</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>4.07</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>3.52</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>3.06</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>2.55</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>2.05</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>1.72</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>2.35</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>2.55</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>3.12</bold>
                            </td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Source: GPAS/SKAP 2017.</p>
                </table-wrap-foot>
            </table-wrap>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>Table 2. </label>
                <caption>
                    <title>The AFM of each island in Indonesia in 2018.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="top">Island</th>
                            <th align="center" colspan="8" rowspan="1" valign="top">AFM</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Total</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">10-14</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">15-19</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">20-24</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">25-29</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">30-34</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">35-39</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">40-44</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">45-49</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sumatera</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.21</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.54</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.00</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.35</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.00</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.98</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.39</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.21</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.03</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Java dan Bali</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.52</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.86</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.46</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.51</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.05</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.50</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.68</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.55</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">NTT</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.21</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.83</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.42</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.61</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.97</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.20</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.41</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.00</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.33</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Kalimantan</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.81</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.31</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.53</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.25</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.61</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.47</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.44</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.00</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.78</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sulawesi</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.16</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.64</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.96</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.70</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.82</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.16</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.29</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.11</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.14</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Maluku</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5.81</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.29</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.76</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.14</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.30</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.91</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.28</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.70</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.66</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Papua</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.89</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.09</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.46</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.27</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.88</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.47</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.24</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.00</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.56</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">
                                <bold>Total</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>3.74</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>3.10</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>2.66</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>2.17</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>1.69</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>1.08</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>1.64</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>0.72</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>2.73</bold>
                            </td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Source: GPAS/SKAP 2018.</p>
                </table-wrap-foot>
            </table-wrap>
            <table-wrap id="T3" orientation="portrait" position="float">
                <label>Table 3. </label>
                <caption>
                    <title>The AFM of each island in Indonesia in 2019.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="top">Island division</th>
                            <th align="center" colspan="7" rowspan="1" valign="top">AFM</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Total</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">10-14</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">15-19</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">20-24</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">25-29</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">30-34</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">35-39</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">40-44</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sumatera</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.44</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.46</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.48</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.92</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.39</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.17</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.99</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Jawa dan Bali</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.19</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.78</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.44</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.07</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.44</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.38</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.00</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.48</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">NTT</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.84</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.79</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.40</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.58</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.33</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.34</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.32</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Kalimantan</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.74</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.34</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.78</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.34</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.34</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.28</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.11</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.93</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sulawesi</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.81</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.69</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.05</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.35</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.80</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.31</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.00</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.14</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Maluku</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.76</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.52</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.84</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.03</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.95</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.30</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.78</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Papua</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.82</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.19</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.76</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.45</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.02</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.42</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.72</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">
                                <bold>Total</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>3.41</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>3.02</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>2.66</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>2.22</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>1.60</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>0.37</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>0.29</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>2.68</bold>
                            </td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Source: GPAS/SKAP 2019.</p>
                </table-wrap-foot>
            </table-wrap>
            <p>While women in the AFM category [15-19] years in total, the average birth rate was still at 3.52 in 2017 and continued to decline to 3.02 in 2019. Although there was a downward trend in the number of children born each year, 
                <xref ref-type="fig" rid="f1">Figure 1</xref> still shows that the average number of children born is 3. Meanwhile, based on archipelagic areas, AFM [15-19] years in Maluku Island has the highest birth rate, namely 4.46 in 2017, experiencing a fairly high decline to 4.29 in 2018 and then rising again in 2019 to an average 4.52 children. The lowest birth rate by region at the age of [15-19] years occurred in Java and Bali, which was around 2.97 in 2017 and continued to decline to an average birth of 2.78 children in 2019.</p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>Figure 1. </label>
                <caption>
                    <title>Trend average of AFM dan TFR.</title>
                    <p>Source: GPAS/SKAP of 2017, 2018, and 2019.</p>
                </caption>
                <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/139260/6a8ff548-bb3f-4fe1-9820-2fe0e4e20b6d_figure1.gif"/>
            </fig>
            <p>Then, the AFM for women aged 20-24 years old continued to decline to 3.06 in 2017 and also in 2018 and 2019 to 2.66. By region, the island of Maluku is still the region with the highest birth rate, namely 3.87 in 2017. This condition decreased to an average birth rate of 3.76 and then rose again to 3.84 in 2018-2019 respectively. The lowest birth rate for women with AFM [20-24] still occurs in Java and Bali, namely 2.55 which then decreased to 2.01 in 2018. However, this condition increased again in 2019 with an average birth rate of to 2.44.</p>
            <p>Based on the results of the analysis of the 3 year survey data period above, the birth rate with an average of 2 children based on the table above can be achieved when AFM occurs in the [25-29] year category, namely 2.30 in 2017, which continues to experience a decrease to 2.17 in 2018 and slightly increase again in 2.22. The highest birth rate by region at the time of AFM [25-29] was still outperformed by Java and Bali, namely 1.97; 2.01 from 2017-2018 and slightly increased in 2019 to 2.07. Meanwhile, the highest birth rate by region is still occupied by Maluku Island, which is 2.76 years. 2017, then experienced an increase of 3.14 in 2018 then fell back to an average of 3.03 in 2019.</p>
            <p>The older a woman&#x2019;s AFM, the lower the birth rate. This is shown by AFM in the age category 30-34 in 2017-2019, women had given birth to children under 2 children (2.05 to 1.60). The average of women who gave birth consistently decreased from period AFM of 30-34 until the end of their reproductive period AFM of 40-44 category. This indicates that the older a person gets married for the first time, the more difficult it is to have children.</p>
            <p>Overall, the highest birth rate is on the island of Maluku with an average birth of 3.80 children in 2017, then in 2018 it increased to an average of 3.66 children then increased again to an average of 3.78 children in 2019. Meanwhile, the lowest birth rates occurred in Java and Bali, reaching an average of 2.64 children in 2017, then increasing to an average of 2.55 children in 2018 and to an average of 2.48 in 2019.</p>
            <p>
                <xref ref-type="table" rid="T4">Table 4</xref> shows a comparison of factors related to giving birth to more than two children in 2017-2019 in women of childbearing age (aged 15-49), where it can be seen that the characteristics of women who have a tendency to have more than two children, are namely: area of residence, education level, economic status, working status, preference for the ideal number of children more than two, AFM, and family planning methods used. Economic status, age at first marriage, and use of contraceptives were significant factors influencing women aged 15-49 to have more than 2 children in the 3 survey periods [2017, 2018 and 2019] even after controlling for other factors. This shows that the 3 factors need the government&#x2019;s attention on women in order to control or plan the number of children they give birth to.</p>
            <table-wrap id="T4" orientation="portrait" position="float">
                <label>Table 4. </label>
                <caption>
                    <title>Factors affecting number of children born &gt;2 of women.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="3" valign="top">Variable</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">GPAS [2017]</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">GPAS [2018]</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">GPAS [2019]</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">SOR</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">AOR</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">SOR</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">AOR</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">SOR</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">AOR</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Exp(B) [UL-LL]</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Exp(B) [UL-LL]</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Exp(B) [UL-LL]</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Exp(B) [UL-LL]</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Exp(B) [UL-LL]</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Exp(B) [UL-LL]</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Residence</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;
                                <italic toggle="yes">ref [village]</italic>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;City</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.73 [0.69-0.78]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.05 [0.96-1.14]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.83 [0.78-0.88]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.35 [1.23-1.49]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.95 [0.89-1.00]
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.16 [1.07-1.25]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Education level</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;
                                <italic toggle="yes">No education [ref]</italic>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Elementary</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.01 [0.82-1.25]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.12 [0.85-1.48]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.99 [0.82-1.20]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.93 [0.67-1.29]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.99 [0.81-1.21]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.86 [0.66-1.12]</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Secondary</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.81 [0.66-1.00]
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.14 [0.86-1.52]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.84 [0.69-1.03]
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.98 [0.70-1.37]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.85 [0.69-1.04]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.93 [0.71-1.22]</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Senior High school</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.61 [0.49-0.76]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.11 [0.84-1.48]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.68 [0.56-0.83]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.24 [0.89-1.75]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.79 [0.65-0.97]
                                <xref ref-type="table-fn" rid="tfn2">**</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.13 [0.86-1.49]</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;D1/D2/D3/D4/Academy</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.49 [0.37-0.65]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.55 [1.07-2.25]
                                <xref ref-type="table-fn" rid="tfn2">**</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.47 [0.36-0.61]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.31 [0.84-2.04]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Higher Education</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.44 [0.35-0.56]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.46 [1.06-2.02]
                                <xref ref-type="table-fn" rid="tfn2">**</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.50 [0.40-0.63]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.56 [1.06-2.29]
                                <xref ref-type="table-fn" rid="tfn2">**</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.70 [0.56-0.87]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.64 [1.22-2.21]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Economic level</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;High [ref]</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Low</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.68 [1.56-1.81]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.68 [1.47-1.80]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.60 [1.49-1.70]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.69 [1.51-1.88]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.35 [1.23-1.47]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.45 [1.29-1.62]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Average</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.22 [1.12-1.33]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.14 [1.02-1.26]
                                <xref ref-type="table-fn" rid="tfn2">**</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.11 [1.02-1.20]
                                <xref ref-type="table-fn" rid="tfn2">**</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.25 [1.11-1.40]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.19 [1.11-1.28]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.24 [1.13-1.36]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Kind of occupation</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;
                                <italic toggle="yes">ref [Work]</italic>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Unemployed</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.39 [1.30-1.49]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.42 [1.31-1.55]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.37 [1.29-1.46]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.29 [1.18-1.41]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.51 [1.42-1.60]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.50 [1.40-1.61]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Ideal Family size</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;
                                <italic toggle="yes">ref [0-2]</italic>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;&gt;2</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5.36 [5.02-5.73]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">6.55 [5.97-7.19]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5.64 [5.28-6.02]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">6.58 [6.11-7.08]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Contraception information</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;
                                <italic toggle="yes">ref [No]</italic>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.73 [0.65-0.82]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.89 [0.76-1.03]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.95 [0.85-1.07]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.07 [0.89-1.29]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.07 [0.96-1.19]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.12 [0.98-1.28]
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Category of AFM</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;
                                <italic toggle="yes">ref [40-44]/[45-49]</italic>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;10-14</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.16 [1.21-14.27]
                                <xref ref-type="table-fn" rid="tfn2">**</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.81 [0.69-21.08]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">57.14 [4.12-793.67]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5.31 [0.32-88.56]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">21.22 [2.28-197.45]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">27.64 [2.88-265.20]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;15-19</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.98 [0.88-10.11]
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.37 [0.43-13.01]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">45.64 [3.30-631.32]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.82 [0.23-63.33]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">18.56 [2.00-171.77]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">25.16 [2.64-239.87]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;20-24</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.84 [0.54-6.23]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.55 [0.28-8.48]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">26.11 [1.89-361.25]
                                <xref ref-type="table-fn" rid="tfn2">**</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.06 [0.12-34.25]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">12.67 [1.37-117.28]
                                <xref ref-type="table-fn" rid="tfn2">**</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">15.13 [1.59-144.26]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;25-29</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.97 [0.28-3.28]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.77 [0.14-4.25]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">12.25 [0.89-169.67]
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.88 [0.05-14.59]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">7.01 [0.76-64.93]
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">7.22 [0.76-68.98]
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;30-34</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.43 [0.12-1.46]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.36 [0.06-1.97]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5.47 [0.39-76.16]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.41 [0.02-6.92]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.12 [0.23-19.81]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.90 [0.20-18.31]</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;35-39</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.20 [0.06-0.72]
                                <xref ref-type="table-fn" rid="tfn2">**</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.21 [0.04-1.20]
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.63 [0.11-23.82]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.22 [0.01-3.89]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.42 [0.03-5.17]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.41 [0.03-5.20]</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;40-44</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;0.55 [0.14-2.25]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.42 [0.06-2.73]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">7.00 [0.47-104.41]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.77 [0.14-56.34]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Contraception use</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;
                                <italic toggle="yes">ref [No]</italic>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.06 [0.99-1.15]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.10 [1.01-1.19]
                                <xref ref-type="table-fn" rid="tfn2">**</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.17 [1.10-1.26]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.51 [1.38-1.66]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.60 [1.50-1.69]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.73 [1.61-1.86]
                                <xref ref-type="table-fn" rid="tfn3">***</xref>
                            </td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>LL: lower limit; UL: upper limit; NA: not available; SOR: Simple Odds Ratio; AOR: Adjusted Odds Ratio.</p>
                    <p>Dependent variable: CEB with 2 categories [Binary]: CEB: 0-2 and &gt;2.</p>
                    <fn-group content-type="footnotes">
                        <fn id="tfn1">
                            <label>*</label>
                            <p>Significant 0.1.</p>
                        </fn>
                        <fn id="tfn2">
                            <label>**</label>
                            <p>Significant 0.05.</p>
                        </fn>
                        <fn id="tfn3">
                            <label>***</label>
                            <p>Significant 0.01.</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
            <p>From 2017 to 2019, age at first marriage was the most dominant factor for women aged 15-49 to have more than two children (2017 SOR: 4.17 95% CI [1.85-17.31], (2018 SOR: 57.14 99% [4.12-793.67]), (2019 SOR 21.22 99% CI [2.28-197.45]). While in 2019, the AFM variable for the age category 10-14 which after being adjusted by other variables remained significant in influencing women having more than 2 children (AOR 27.64 99% [2.88-265.20]). For women aged 15-49, more than 2 children is the ideal number desired, namely in 2018 (AOR: 6.55 99% CI [5.97-7.19] and in 2019 (AOR 6.58 99% [6.11-7.08]).</p>
        </sec>
        <sec id="sec9" sec-type="discussion">
            <title>Discussion</title>
            <p>Marriage is a complex life stage. It also has an impact on the demographics and health of both individuals and communities related to the time of delivery.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> Early marriage can have a negative impact on maternal and child health, including malnutrition and increased morbidity and mortality.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> Delaying the age of marriage to a certain age can have a positive impact for women as it gives them time to develop and actualize themselves,
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> as well as their reproductive health because if the marriage age is too young, the reproductive organs are not completely ready for childbirth and if the marriage age is too old the chance of maternal death increases.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> From a demographic perspective, this delay can reduce the number of births from the years available for pregnancy, as well as increase understanding for making decisions about fertility choices including determining the number of children.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> Not only does it have a positive impact on demographic issues, the study showed that regulating the maturity of the marriage age in the law can protect the rights of women and children and increase their quality of life.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
            </p>
            <p>
                <xref ref-type="table" rid="T1">Tables 1</xref>, 
                <xref ref-type="table" rid="T2">2</xref> and 
                <xref ref-type="table" rid="T3">3</xref> show that women aged 15-49 who were aged 10-24 at their first marriage have a longer reproductive age range, so they have relatively more children than women who married at the age of 25 and over. The delay in the age of marriage and childbirth leads to a limitation of the biological age of pregnancy.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup> Furthermore, this analysis shows that the age of 25 years in women is a good minimum age to be able to give birth to an average of less than 3 children. Research in Uganda indicates that delaying the age of marriage beyond 20 years can change the country&#x2019;s sexual behavior and fertility rates.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> Muhoza (2022) concluded that the decline in fertility rates was influenced by delays in the age of marriage.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> Other studies suggest that delaying the age of marriage has an impact on delaying obligations in caring for and caring for children, but this factor does not stand alone in determining the number of children you have because the level of education, economic status, and the value of the child also has a large enough contribution on one&#x2019;s fertility decisions.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup>
            </p>
            <p>Regional characteristics also show a gap in fertility trends and age at first marriage.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> Based on 2017-2019 GPAS/SKAP data, only the Java-Bali region is consistent with a minimum age of first marriage of 25 years for women if they want to have 2 children. Other regions showed varying results in two children and age at first marriage in the 25-29 and 30-34 age groups. The trend of births in Indonesia still show a positive perspective on the relatively small number of children, but there are indications of an increase in births. The report of the 2006-2014 Susenas showed as many as 86% of women aged 15-49 have two children or less because of the success of the happy and prosperous small family program GPAS.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> The results of this study in total, Indonesian women have 2-3 children, with the lowest scores on the islands of Java and Bali and the highest on the island of Maluku. The Java-Bali region has a low average number of children because until now development and family planning programs are still focused in that area.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> Other countries in Southeast Asia share similar views regarding small families, for example in Sri Lanka. The study described a fertility preference for only having two or three children, but reported increased fertility for multifactorial reasons.
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup>
            </p>
            <p>The data in 
                <xref ref-type="table" rid="T4">Table 4</xref> shows that after controlling for other factors, women who have a tendency to have more than two children are namely: living in a city, have a high education level, low economy, not working, want to have more than two children, low AFM, and using contraception tools. Several studies, both in Indonesia and in other countries found that women living in rural areas are more likely to have fewer children due to economic limitations.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> This reason is also consistent with the results of this study which showed that low economic status is in line with low fertility rates as well. However, the results of studies in Europe stated that fertility was lower due to the high rate of delay in pregnancy in urban areas
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> and also the results of studies in Nigeria which showed differences with the findings in this study, namely that living in rural areas and the age at first marriage contributed to the high number of children.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup>
            </p>
            <p>The assumption that those with a high level of education will have a few children was not proven in this study after being controlled by other factors.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> Higher education has a positive correlation with the desire to have two or more children because it is related to &#x201c;individual agency&#x201d; in determining their fertility preferences, including religious norms, child values, and ideal preferences for the number of children which are also significant in this study.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> Furthermore, an understanding of fertility encourages women to determine their preference for the number of children and their fertility rights.
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup>
            </p>
            <p>Working women were positively correlated with having fewer children due to the dual burden of family and work.
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> On the other hand, women who do not work have difficulties in making decisions, including decisions about fertility rights, because the &#x201c;power&#x201d; lies in the hands of their husbands.
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup> The odds ratio analysis also showed that a relatively low age at first marriage is directly proportional to a high fertility rate. This finding is also supported by other studies which stated that delaying marriage can reduce fertility rates and protect reproductive rights in women.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> Another interesting finding in this study is that the use of contraceptives has a negative correlation with low fertility rates. This is different from other studies which concluded that contraceptive users have relatively few children compared to those who do not use contraception.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> This study indicates that contraception is only used after having more than two children to limit the number of births, not to regulate the number of births.
                <sup>
                    <xref ref-type="bibr" rid="ref27">27</xref>
                </sup>
            </p>
            <p>The limitation of the study is that the data analyzed is still measured using the variable average of children ever born, it has not been measured by the total birth rate (TFR) which has taken into account child mortality. This data uses the aggregate level at the province, while district/city data is needed for programs in urban districts since district/city policies are no longer centralized (decentralization).</p>
            <p>This study has an impact on gender issues, namely Maternal and Child Health. Therefore, proper identification of AFM can provide women&#x2019;s reproductive rights so that it will reduce the problem of Maternal and Child Mortality. In addition, having less than 2 children can optimize a woman&#x2019;s role as a mother in caring for her children.</p>
        </sec>
        <sec id="sec10" sec-type="conclusion">
            <title>Conclusion</title>
            <p>The median age at first marriage in Indonesia tends to increase from year to year but is still not as expected. The median age at marriage has broad implications because it provides opportunities for women to prepare for a better future. From the aspect of reproductive health, women will become healthier and feel ready to have children. In addition, the results of the analysis prove that the call for the best age for women to first get married is 25 years, not 21 years which has always been believed. The median age of 25 for first marriage gives women the opportunity to attend higher education, so that they can join the job market.</p>
        </sec>
    </body>
    <back>
        <sec id="sec13" sec-type="data-availability">
            <title>Data availability</title>
            <p>The data is available in the institution (National Family Planning Agency in Indonesia/
                <ext-link ext-link-type="uri" xlink:href="http://www.bkkbn.go.id">www.bkkbn.go.id</ext-link>). The raw data can be accessed upon request from the institution through email with the data request letter and proposal enclosed (
                <email xlink:href="mailto:puslitbangkbks@gmail.com">puslitbangkbks@gmail.com</email>).</p>
        </sec>
        <ack>
            <title>Acknowledgments</title>
            <p>We gratefully acknowledge the National Population and Family Planning Board for providing the opportunity given to utilize the 2017-2019 GPAS/SKAP data and the LPDP (Lembaga Pengelola Dana Pendidikan/Education Fund Management Institution) for financial support.</p>
        </ack>
        <ref-list>
            <title>References</title>
            <ref id="ref1">
                <label>1</label>
                <mixed-citation publication-type="other">
                    <collab>Badan Pusat Statistik</collab>:
                    <source>

                        <italic toggle="yes">Indonesia Population Census 2020.</italic>
</source>
                    <publisher-loc>Jakarta</publisher-loc>:<year>2021</year>.</mixed-citation>
            </ref>
            <ref id="ref2">
                <label>2</label>
                <mixed-citation publication-type="book">
                    <collab>BKKBN</collab>:
                    <source>

                        <italic toggle="yes">RENCANA STRATEGIS BKKBN 2020-2024. Pertama. Jakarta.</italic>
</source>
                    <publisher-loc>Indonesia</publisher-loc>:
                    <publisher-name>Badan Kependudukan dan Keluarga Berencana Nasional</publisher-name>;<year>2020</year>.</mixed-citation>
            </ref>
            <ref id="ref3">
                <label>3</label>
                <mixed-citation publication-type="other">
                    <collab>BKKBN</collab>:
                    <article-title>Panduan Pelaksanaan Sosialisasi Program Pembangunan Keluarga Bersama Mitra Kerja.</article-title>Vol.<volume>53</volume>.<year>2018</year>; pp.<fpage>1689</fpage>&#x2013;<lpage>1699</lpage>.</mixed-citation>
            </ref>
            <ref id="ref4">
                <label>4</label>
                <mixed-citation publication-type="other">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Cates</surname>
                            <given-names>W</given-names>
                        </name>
</person-group>:
                    <article-title>Age and fertility. In: Hospital practice (Office ed).</article-title>
                    <year>1982</year>; p.<fpage>21</fpage>.</mixed-citation>
            </ref>
            <ref id="ref5">
                <label>5</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Marphatia</surname>
                            <given-names>AA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ambale</surname>
                            <given-names>GS</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Reid</surname>
                            <given-names>AM</given-names>
                        </name>
</person-group>:
                    <article-title>Women&#x2019;s Marriage Age Matters for Public Health: A Review of the Broader Health and Social Implications in South Asia.</article-title>
                    <source>

                        <italic toggle="yes">Front. Public Health.</italic>
</source>
                    <year>2017</year>;<volume>5</volume>(<issue>269</issue>):<fpage>1</fpage>&#x2013;<lpage>23</lpage>.</mixed-citation>
            </ref>
            <ref id="ref6">
                <label>6</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Baruwa</surname>
                            <given-names>OJ</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Amoateng</surname>
                            <given-names>AY</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Biney</surname>
                            <given-names>E</given-names>
                        </name>
</person-group>:
                    <article-title>Socio-demographic Changes in Age at First Marriage in Malawi: Evidence from Malawi Demographic and Health Survey data, 1992-2016.</article-title>
                    <source>

                        <italic toggle="yes">J. Biosoc. Sci.</italic>
</source>
                    <year>2019</year>;<volume>52</volume>:<fpage>832</fpage>&#x2013;<lpage>845</lpage>.
                    <pub-id pub-id-type="doi">10.1017/S0021932019000816</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref7">
                <label>7</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Aktar</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Mondal</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Hossain</surname>
                            <given-names>MA</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Socio-economic Determinants of Age at First Marriage of Rural Women: A Statistical Analysis.</article-title>
                    <source>

                        <italic toggle="yes">Int. J. Eng. Comput. Sci.</italic>
</source>
                    <year>2017</year>;<volume>6</volume>(<issue>12</issue>):<fpage>22255</fpage>&#x2013;<lpage>22260</lpage>.</mixed-citation>
            </ref>
            <ref id="ref8">
                <label>8</label>
                <mixed-citation publication-type="other">
                    <collab>UNFPA</collab>:
                    <source>

                        <italic toggle="yes">Program of Action: Adopted at the International Conference on Population and Development, Cairo 1994.</italic>
</source>
                    <publisher-loc>New York</publisher-loc>:<year>2004</year>;<fpage>1</fpage>&#x2013;<lpage>177</lpage>.</mixed-citation>
            </ref>
            <ref id="ref9">
                <label>9</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Batyra</surname>
                            <given-names>E</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Pesando</surname>
                            <given-names>LM</given-names>
                        </name>
</person-group>:
                    <article-title>Trends in child marriage and new evidence on the selective impact of changes in age-at-marriage laws on early marriage.</article-title>
                    <source>

                        <italic toggle="yes">SSM-Population Heal.</italic>
</source>
                    <year>2021</year>;<volume>14</volume>(<issue>100811</issue>):<fpage>100811</fpage>&#x2013;<lpage>100812</lpage>.
                    <pub-id pub-id-type="doi">10.1016/j.ssmph.2021.100811</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref10">
                <label>10</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Nitsche</surname>
                            <given-names>N</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Hayford</surname>
                            <given-names>SR</given-names>
                        </name>
</person-group>:
                    <article-title>Preferences, Partners, and Parenthood: Linking Early Fertility Desires, Marriage Timing, and Achieved Fertility.</article-title>
                    <source>

                        <italic toggle="yes">Demography.</italic>
</source>
                    <year>2020</year>;<volume>57</volume>:<fpage>1975</fpage>&#x2013;<lpage>2001</lpage>.
                    <pub-id pub-id-type="pmid">33179200</pub-id>
                    <pub-id pub-id-type="doi">10.1007/s13524-020-00927-y</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7732806</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref11">
                <label>11</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Ariho</surname>
                            <given-names>P</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Kabagenyi</surname>
                            <given-names>A</given-names>
                        </name>
</person-group>:
                    <article-title>Age at First Marriage, Age at First Sex, Family Size Preferences, Contraception and Change in Fertility among Women in Uganda: Analysis of the 2006-2016 Period.</article-title>
                    <source>

                        <italic toggle="yes">BMC Womens Health.</italic>
</source>
                    <year>2020</year>;<volume>20</volume>(<issue>8</issue>):<fpage>1</fpage>&#x2013;<lpage>13</lpage>.
                    <pub-id pub-id-type="doi">10.1186/s12905-020-0881-4</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref12">
                <label>12</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Muhoza</surname>
                            <given-names>DN</given-names>
                        </name>
</person-group>:
                    <article-title>Fertility Transition in Rwanda: What Does the Trend in Nuptiality reveal?</article-title>
                    <source>

                        <italic toggle="yes">Genus.</italic>
</source>
                    <year>2022</year>;<volume>78</volume>(<issue>1</issue>).
                    <pub-id pub-id-type="doi">10.1186/s41118-022-00152-y</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref13">
                <label>13</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Utomo</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>McDonald</surname>
                            <given-names>P</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Utomo</surname>
                            <given-names>I</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Do Individuals with Higher Education Prefer Smaller Families? Education, Fertility Preference and the Value of Children in Greater Jakarta.</article-title>
                    <source>

                        <italic toggle="yes">Child Indic. Res.</italic>
</source>
                    <year>2021</year>;<volume>14</volume>(<issue>1</issue>):<fpage>139</fpage>&#x2013;<lpage>161</lpage>.
                    <pub-id pub-id-type="doi">10.1007/s12187-020-09752-6</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref14">
                <label>14</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Hertrich</surname>
                            <given-names>V</given-names>
                        </name>
</person-group>:
                    <article-title>Trends in Age at Marriage and the Onset of Fertility Transition in Sub-Saharan.</article-title>
                    <source>

                        <italic toggle="yes">Popul. Dev. Rev.</italic>
</source>
                    <year>2017</year>;<volume>1&#x2013;26</volume>.</mixed-citation>
            </ref>
            <ref id="ref15">
                <label>15</label>
                <mixed-citation publication-type="other">
                    <collab>BPS-Statistics Indonesia</collab>:
                    <source>

                        <italic toggle="yes">Welfare Statistics 2016.</italic>
</source>
                    <publisher-loc>Jakarta</publisher-loc>:<year>2016</year>.</mixed-citation>
            </ref>
            <ref id="ref16">
                <label>16</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Sujarwoto</surname>
                            <given-names>S</given-names>
                        </name>
</person-group>:
                    <article-title>Small Family Norms and Family Well-being in Indonesia, 2006-2014.</article-title>
                    <source>

                        <italic toggle="yes">J. Biosoc. Sci.</italic>
</source>
                    <year>2017</year>;<volume>49</volume>:<fpage>96</fpage>&#x2013;<lpage>115</lpage>.</mixed-citation>
            </ref>
            <ref id="ref17">
                <label>17</label>
                <mixed-citation publication-type="other">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Mahmud</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ekoriano</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Titisari</surname>
                            <given-names>AS</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Determinants Of Modern Contraceptives Use In Indonesia: A Spatial Analysis.</article-title>
                    <year>2021</year>;<volume>12</volume>(<issue>3</issue>):<fpage>769</fpage>&#x2013;<lpage>777</lpage>.</mixed-citation>
            </ref>
            <ref id="ref18">
                <label>18</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Silva</surname>
                            <given-names>WI</given-names>
                            <prefix>De</prefix>
                        </name>

                        <name name-style="western">
                            <surname>Goonatilaka</surname>
                            <given-names>WS</given-names>
                        </name>
</person-group>:
                    <article-title>Pronatalistic Value of Children and Sri Lanka&#x2019;s Fertility Rebound.</article-title>
                    <source>

                        <italic toggle="yes">Child Indic. Res.</italic>
</source>
                    <year>2021</year>;<volume>14</volume>:<fpage>607</fpage>&#x2013;<lpage>628</lpage>.
                    <pub-id pub-id-type="doi">10.1007/s12187-020-09799-5</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref19">
                <label>19</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Lerch</surname>
                            <given-names>M</given-names>
                        </name>
</person-group>:
                    <article-title>Regional Variations in The Rural-Urban Fertility Gradient in The Global South.</article-title>
                    <source>

                        <italic toggle="yes">PLoS One.</italic>
</source>
                    <year>2019</year>;<volume>14</volume>(<issue>7</issue>):<fpage>1</fpage>&#x2013;<lpage>18</lpage>.
                    <pub-id pub-id-type="doi">10.1371/journal.pone.0219624</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref20">
                <label>20</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Withers</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Browner</surname>
                            <given-names>CH</given-names>
                        </name>
</person-group>:
                    <article-title>The Changing Contexts of Fertility Outcomes: Case Studies from a Remote Village in Bali, Indonesia.</article-title>
                    <source>

                        <italic toggle="yes">Cult. Health Sex.</italic>
</source>
                    <year>2012</year>;<volume>14</volume>(<issue>3</issue>):<fpage>347</fpage>&#x2013;<lpage>360</lpage>.
                    <pub-id pub-id-type="pmid">22192079</pub-id>
                    <pub-id pub-id-type="doi">10.1080/13691058.2011.643825</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref21">
                <label>21</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Riederer</surname>
                            <given-names>B</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Buber-Ennser</surname>
                            <given-names>I</given-names>
                        </name>
</person-group>:
                    <article-title>Regional Context and Realization of Fertility Intentions: The Role of The Urban Context.</article-title>
                    <source>

                        <italic toggle="yes">Reg. Stud.</italic>
</source>
                    <year>2019</year>;<volume>53</volume>(<issue>12</issue>):<fpage>1669</fpage>&#x2013;<lpage>1679</lpage>.
                    <pub-id pub-id-type="pmid">31736514</pub-id>
                    <pub-id pub-id-type="doi">10.1080/00343404.2019.1599843</pub-id>
                    <pub-id pub-id-type="pmcid">PMC6824246</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref22">
                <label>22</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Alaba</surname>
                            <given-names>OO</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Olubusoye</surname>
                            <given-names>OE</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Olaomi</surname>
                            <given-names>JO</given-names>
                        </name>
</person-group>:
                    <article-title>Spatial patterns and determinants of fertility levels among women of childbearing age in nigeria. South African.</article-title>
                    <source>

                        <italic toggle="yes">Fam. Pract.</italic>
</source>
                    <year>2017</year>;<volume>59</volume>(<issue>4</issue>):<fpage>143</fpage>&#x2013;<lpage>147</lpage>.
                    <pub-id pub-id-type="doi">10.1080/20786190.2017.1292693</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref23">
                <label>23</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Devi</surname>
                            <given-names>YP</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ekoriano</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Sari</surname>
                            <given-names>DP</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Factors associated with adolescent birth in Indonesia: a national survey.</article-title>
                    <source>

                        <italic toggle="yes">Rural Remote Health.</italic>
</source>
                    <year>2022</year>;<volume>22</volume>(<issue>2</issue>):<fpage>1</fpage>&#x2013;<lpage>11</lpage>.
                    <pub-id pub-id-type="doi">10.22605/RRH7219</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref24">
                <label>24</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Spagnoletti</surname>
                            <given-names>BRM</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Bennett</surname>
                            <given-names>LR</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Kermode</surname>
                            <given-names>M</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>&#x2018;The Final Decision is With The Patient&#x2019;: Reproductive Modernity and Preferences for Non-Hormonal and Non-Biomedical Contraceptives Among Postpartum Middle Class Women in Yogyakarta, Indonesia.</article-title>
                    <source>

                        <italic toggle="yes">Asian Popul. Stud.</italic>
</source>
                    <year>2019</year>;<volume>15</volume>:<fpage>105</fpage>&#x2013;<lpage>125</lpage>.
                    <pub-id pub-id-type="doi">10.1080/17441730.2019.1578532</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref25">
                <label>25</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Owoo</surname>
                            <given-names>NS</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Lambon-Quayefio</surname>
                            <given-names>MP</given-names>
                        </name>
</person-group>:
                    <article-title>Does Job Security Affect Fertility and Fertility Intentions in Ghana? Examining the Evidence.</article-title>
                    <source>

                        <italic toggle="yes">J. Fam. Econ. Iss.</italic>
</source>
                    <year>2022</year>;<volume>43</volume>(<issue>1</issue>):<fpage>86</fpage>&#x2013;<lpage>99</lpage>.
                    <pub-id pub-id-type="doi">10.1007/s10834-021-09758-4</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref26">
                <label>26</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Annan</surname>
                            <given-names>J</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Donald</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Goldstein</surname>
                            <given-names>M</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Taking power: Women&#x2019;s empowerment and household Well-being in Sub-Saharan Africa.</article-title>
                    <source>

                        <italic toggle="yes">World Dev.</italic>
</source>
                    <year>2021</year>;<volume>140</volume>:<fpage>105292</fpage>.
                    <pub-id pub-id-type="doi">10.1016/j.worlddev.2020.105292</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref27">
                <label>27</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Maha</surname>
                            <given-names>DMB</given-names>
                        </name>
</person-group>:
                    <article-title>Determinan yang Berpengaruh terhadap Pemakaian Alat Kontrasepsi IUD di Puskesmas Kecamatan Kramat Jati Kota Administrasi Jakarta Timur tahun 2013.</article-title>
                    <source>

                        <italic toggle="yes">J. Bid. Ilmu Kesehat.</italic>
</source>
                    <year>2018</year>;<volume>11</volume>(<issue>1</issue>):<fpage>745</fpage>&#x2013;<lpage>754</lpage>.</mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report175606">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.139260.r175606</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Silitonga</surname>
                        <given-names>Hanna</given-names>
                    </name>
                    <xref ref-type="aff" rid="r175606a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r175606a1">
                    <label>1</label>Faculty of Medicine, Universitas Ciputra, Surabaya, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>14</day>
                <month>6</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Silitonga H</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport175606" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.126816.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>This is an important topic, as early marriage remains an important issue in Indonesia.</p>
            <p> However, the paper could be improved by considering the following comments.</p>
            <p> </p>
            <p> The title is not clear. Reading the paper, I think the title may have been &#x201c;Relationship between Age at First Marriage (AFM) and Children Ever Born among Married Women at the End of Their Reproductive Period in Indonesia&#x201d;.</p>
            <p> </p>
            <p> The paper does not mention its aim explicitly either. Actually, in my interpretation,&#x00a0; the paper aims to evaluate whether women who first married at a younger age are related to having higher numbers of children ever born (CEB). The paper makes two categories of CEB, whether it is below two children or otherwise. The threshold 2 is selected by the authors to follow the official state policy that &#x201c;two&#x201d; is the ideal number of children per woman. Therefore, it should be noted that different thresholds may provide different results.</p>
            <p> </p>
            <p> In the first paragraph of the introduction, the paper should have mentioned that Total Fertility Rate (TFR)s in some provinces have been below replacement rate.</p>
            <p> </p>
            <p> To avoid censored information (because the women have not finished their reproductive period), the paper limits the analysis to married women aged 40-49. It should be noted however that this analysis may only represent the relationship between AFM and CEB for older cohorts. Younger cohorts may have different behaviour. Additionally, ever-married women 40-49, excluded from the sample, may have another behaviour.</p>
            <p> </p>
            <p> This paper used existing data sets, the SKAP/GPAS, already collected by BKKNN-the National Board of Family Planning and Population, Government of Indonesia every year. The paper used the data for 2017, 2018, and 2019. It has 4 tables and 1 Figure. The first 3 tables discussed the published statistics from the surveys. They showed Children Ever born (CEB) in each age group of Age at First Marriage (AFM) in 2017, 2018, and 2019 by islands in Indonesia. However, it is not clear about the sample used in the tables. Is it married women only? Is it for women aged 15-49, 40-49, or others? The titles of the 3 tables should be changed to make the tables self-explanatory.</p>
            <p> Interestingly, the pattern in 2017 (Table 1) is very different from those in 2018 (Table 2) and 2019 (Table 3), especially for Indonesia (total). In 2017, the relationship in Indonesia follows a U-curve; in 2018 and 2019, it has a declining trend. Additionally, the changes from 2017 to 2018 and to 2019 are substantial. For example, in 2017, the CEB for AFM at 45-49 is 2.55 (Table 1). In one year, it declined dramatically to 0.72 in 2018 (Table 2). Is there anything wrong with the data or tables? Moreover, the paper does not have AFM at 45-49 in 2019 (Table 3). Therefore, the paper needs to address this issue, including why there is no column for AFR at 45-49 in 2019 (Table 3).</p>
            <p> </p>
            <p> It should also be mentioned that, in some regions, in each of the three years, the relationships are also fluctuating. It is then difficult to conclude a negative relationship between AFM and CEB from Tables 1, 2, and 3. The paper should have addressed this issue more.</p>
            <p> </p>
            <p> Figure 1 shows that TFR in 2019 is 2.45, very different from the result of 2020 population census, which is much lower, only 2.18. The result of the 2020 population census used an indirect method, the own children method, referring to the past several years. The TFRs in SKAP/ GPAS used a direct method, giving estimates in the same year. There are also some other estimates of TFR, such as those produced by Statistics-Indonesia. The paper should examine other estimates of TFR as fertility is one of two main variables in the paper with the other one in AFM. In addition to other estimates of TFR, the paper could also analyse alternative estimates of AFM.</p>
            <p> </p>
            <p> The paper should have explained what we can learn about the relationship between AFM and CEB from Tables 1,2, and 3.</p>
            <p> </p>
            <p> The paper should have done a literature study on AFM in Indonesia and should have compared the results of this paper with previous studies in Indonesia.</p>
            <p> </p>
            <p> It should be noted that the sample of Table 4 is limited to married women aged 40-49. It is not clear whether the sample is different from those in Tables 1, 2, and 3. The TFR also refers to a &#x201c;current&#x201d; situation rather than past situation as in CEB. Therefore, a comparison of results in Tables 1, 2, and 3 on one hand and Table 4, on the other hand, should be done with caution.</p>
            <p> </p>
            <p> The paper has detailed how the surveys were conducted by BKKBN. However, the paper should explain more about the method of analysis (including the statistical tool) and sample of data used in the analysis.</p>
            <p> </p>
            <p> Table 4 utilized the individual data sets. The paper runs logistic regression for each year: 2017, 2018, and 2019. The dependent variable is a dummy, whether the CEB is &lt;2 or otherwise. However, there is a typing error in the first column of Table 4. One of the independent variables was &#x201c;number of children&#x201d;. It should have been &#x201c;ideal/desired number of children&#x201d;. Since it was asked at the end of the reproductive period, the authors may explain the possibility that the answer to the ideal number has been adjusted to the actual number.</p>
            <p> </p>
            <p> From Table 4, the paper concluded that AFM had the dominant contribution to CEB. It should explain how the conclusion is made. If the threshold is not 2, but a different number, will the result be different? How about if the paper uses a continuous number of CEB &#x2013; 0,1, 2,3, etc? The paper should have addressed more on how the paper is related to the state policy of 2 being the ideal number of children.</p>
            <p> </p>
            <p> Before the discussion, the paper wrote &#x201c;For women aged 15-49, more than 2 children is the ideal number desired, namely in 2018 (AOR: 6.55 99% CI [5.97-7.19] and in 2019 (AOR 6.58 99% [6.11-7.08])&#x201d;. Is &#x201c;15-49&#x201d; correct? Or, is it &#x201c;40-49&#x201d;? It is not clear what is meant by &#x201c;more than 2 children is the ideal number desired&#x201d;</p>
            <p> </p>
            <p> Under the discussion, the paper mentions rights and quality of life. Does the paper have the measurements of these two variables? Are they included in the statistical analysis?</p>
            <p> </p>
            <p> Under discussion, the paper should have integrated the results of Tables 1, 2, and 3 and Figure 1 with those from Table 4.</p>
            <p> </p>
            <p> The paper may have missed two important proximate determinants of fertility &#x2013; fecundity (often indicated with amenorrhea) and breastfeeding. It should have considered these missing variables in the discussion.</p>
            <p> </p>
            <p> The paper used contraceptive use without differentiating between modern and traditional ones, though the differentiation may have an important impact on CEB. The paper should have addressed this issue.</p>
            <p> </p>
            <p> The paper concludes that the best median women&#x2019;s age at first marriage should be 25, not 21, to have CEB under 2. The paper should explain more about how this conclusion is made. As the sample is old reproductive-age women, the conclusion may not be applicable to younger women.</p>
            <p> </p>
            <p> Finally, the quality of the paper could be improved by having copy editing, which could include English editing. The authors could also improve the flow of discussion, to minimize the possibility of misunderstanding the paper.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>NA</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
</article>
