The effect of chewing-betel habits on blood glucose levels in the <i>Karo</i> ethnic community, <i>Karo</i> district

Yunita Sari Pane; Yetty Machrina; Nurfida Khairina Arrasyid; Mutiara Indah Sari

doi:10.12688/f1000research.75763.4

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Research Article

Revised

The effect of chewing-betel habits on blood glucose levels in the Karo ethnic community, Karo district

[version 4; peer review: 1 approved, 1 approved with reservations]

Previously titled: The effect of betel habits on blood glucose levels in the Karo ethnic community, Karo district

Yunita Sari Pane ¹, Yetty Machrina², Nurfida Khairina Arrasyid³, Mutiara Indah Sari⁴

PUBLISHED 06 Dec 2023

Author details Author details

¹ Department of Pharmacology and Therapeutics, Faculty of Medicine, Universitas Sumatera Utara, Medan, North Sumatra, 20155, Indonesia
² Department of Physiology, Faculty of Medicine, Universitas Sumatera Utara, Medan, North Sumatra, 20155, Indonesia
³ Department of Parasitology, Faculty of Medicine, Universitas Sumatera Utara, Medan, North Sumatra, 20155, Indonesia
⁴ Department of Biochemistry, Faculty of Medicine, Universitas Sumatera Utara, Medan, North Sumatra, 20155, Indonesia

Yunita Sari Pane
Roles: Conceptualization, Data Curation, Formal Analysis, Funding Acquisition, Investigation, Methodology, Supervision, Validation, Writing – Original Draft Preparation, Writing – Review & Editing

Yetty Machrina
Roles: Investigation, Writing – Review & Editing

Nurfida Khairina Arrasyid
Roles: Data Curation, Formal Analysis

Mutiara Indah Sari
Roles: Methodology, Resources

OPEN PEER REVIEW

REVIEWER STATUS

Abstract

Background

The chewing Betel habit is a hereditary tradition from the ancestors of the Batak-Karo tribe, Indonesia. Karo people believe that chewing betel habit is their unifier. The chewing-betel habit process begins with concocting a mixture of ingredients such as betel leaf, lime, gambier, areca nut, and with or without tobacco addition, then chewed slowly. This study aimed to analyze whether the habit of chewing betel can affect BGL in the Karo ethnic community in the Karo district.

Methods

In total, 48 participants from the Karo community were divided into 4 groups (n=12 per group), namely: I. non-T2DM participants without chewing betel habits; II. non-T2DM participants with chewing-betel habit; III. T2DM participants without chewing-betel habit and IV. T2DM participants with chewing-betel habit. The sampling technique was consecutive sampling. The data were collected by interviews and blood sampling (fasting and 2 hours postprandial (2hPP)). The collected data were analyzed by paired t-test, Independent sample t-test, Wilcoxon, and Mann-Whitney with a significance level of p-value <0.05.

Results

This study showed that fasting BGL condition in group-I compared to group II (84.33±12.32 vs 81.00±4.84) mg/dl and group-III compared to group-IV (196.25±104.81 vs 150.00±42.45) mg/dl had no significant difference. Also, the BGL of 2hPP condition in group-I compared to group-II (111.25 ±22.62 vs 108.33±18.99) mg/dl, and group-III compared to group-IV (314.92±128.97 vs 229.25±58.26) mg/dl, in statistically there was no difference (p>0.05). Although the data showed that group-III was higher than group-IV.

Conclusion

This study concludes that with or without chewing-betel habits affect blood sugar levels in type 2 diabetes subjects (Groups III and IV).

Keywords

betel, gambier, T2DM, blood glucose levels, Batak-Karo ethnics

Corresponding author: Yunita Sari Pane

Competing interests: No competing interests were disclosed.

Grant information: This work was supported by the Indonesian Ministry of Science and Higher Education, number: 12/E1/KP.PTNBH/2021.
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Copyright: © 2023 Pane YS et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite: Pane YS, Machrina Y, Arrasyid NK and Sari MI. The effect of chewing-betel habits on blood glucose levels in the Karo ethnic community, Karo district [version 4; peer review: 1 approved, 1 approved with reservations]. F1000Research 2023, 11:100 (https://doi.org/10.12688/f1000research.75763.4) First published: 26 Jan 2022, 11:100 (https://doi.org/10.12688/f1000research.75763.1) Latest published: 06 Dec 2023, 11:100 (https://doi.org/10.12688/f1000research.75763.4)

Revised Amendments from Version 3

Apart from a grammatical changes, only the abstract was corrected.

See the authors' detailed response to the review by Hadeer Akram Abdulrazzaq Al-Ani
See the authors' detailed response to the review by Mustofa Mustofa

Introduction

The chewing-betel habit is a cultural tradition of Indonesian society with one of its compositions being gambier (Daryanti et al., 2020). Gambier (Uncaria gambier Roxb) is mixed with several other ingredients and then wrapped in betel leaf which is to be chewed slowly. People who chew betel regularly have their own reasons for the habit, other than taste. Chewing betel is a hereditary tradition from ancestors in the Karo tribe. The Karo people believe that chewing-betel is a unifying activity for them (Perangin-angin, 2017).

The habit of chewing-betel is usually done 3 times a day, namely in the morning, after lunch, and at night (Kanapathy, 2014). The habit of chewing-betel is mostly seen in women of the Karo tribe, but some men do it too because chewing betel is always done when meeting with relatives, colleagues, or in other social situations (Sinuhaji, 2010). According to the data derived from interviews, chewing betel provides some benefits, such as getting the same pleasures from smoking, relaxation, and eliminating bad breath. Chewing betel has been done for generations and it is believed that it can strengthen teeth (Flora et al., 2012) as well as maintain health.

Chewing betel has been a traditional habit for a long time. But, nowadays it is getting rare to encounter it, because there has been a shift in values. However, in rural areas, traditional habits are still strongly conducted because the people there are upholding the traditions of generations (Perangin-angin, 2017). Chewing betel is done in different ways from one country to another, and from one region to another in the same country (Gupta & Ray, 2004). Surprisingly, the composition of betel to be chewed is relatively consistent, which consist of betel leaf, betel nut (Areca Catechu), lime (calcium hydroxide), and gambier (Uncaria gambier Roxb) (Lombu, 2014).

The content of catechin polyphenols in gambier is efficacious as an anti-oxidant that may prevent various diseases (Musdja et al., 2018), such as diabetes mellitus (Umeno et al., 2016). This case is proved in the research of Pane et al. (2018) which states that gambier extract is efficacious in the treatment of diabetes by increasing levels of superoxide dismutase and lowering blood glucose levels (BGL).

Based on the description above, the researchers wanted to assess whether the habit of chewing betel can affect BGL in subjects with T2DM compared to participants without T2DM, studied in the Batak-Karo tribe in Karo District.

Methods

Ethical considerations

This research obtained ethical approval from the Health Research Ethics Committee of the Universitas Sumatera Utara (No. 468/KEP/USU/2021). The participants gave written informed consent after receiving an explanation from the researcher regarding the research procedure they would undergo (Pane et al., 2022).

Participants

The sample size was estimated following the data from Kawamori et al. (2014) for BGL fasting and BGL 2hPP, using the following formula:

* Calculation for the sample size of BGL fasting

\begin{matrix} σ^{2} = \frac{(n 1 - 1) S 1^{2} + (n 2 - 1) S 2^{2}}{(n 1 + n 2 - 2)} \\ σ^{2} = \frac{(88 - 1) 107^{2} + (33 - 1) 77^{2}}{(88 + 33 - 2)} \\ σ^{2} = \frac{996, 063 + 189, 728}{119} \\ σ = \sqrt{9, 964.630} \\ σ = 99.82 \end{matrix}

n = \frac{2 σ^{2} {(Z_{(1 - \frac{α}{2})} + Z_{(1 - β)})}^{2}}{{(μ 1 - μ 2)}^{2}}

n = 2 {(99.82)}^{2} \frac{{(1.64 + 0.842)}^{2}}{(− 134 - {(- 14)}^{2}}

n = 2 (9, 964.03) \frac{{(2, 482)}^{2}}{{(− 120)}^{2}}

n = 2 (9, 964.03) \frac{(6.160)}{(14, 400)}

n = 2 (9, 964.03) (0.000428)

n = 8 . 53

n \approx 9 p a r t i c i p a n t s .

* Calculation for sample the size of BGL 2hPP

\begin{matrix} σ^{2} = \frac{(n 1 - 1) S 1^{2} + (n 2 - 1) S 2^{2}}{(n 1 + n 2 - 2)} \\ σ^{2} = \frac{(88 - 1) {43.6}^{2} + (33 - 1) {39.8}^{2}}{(88 + 33 - 2)} \\ σ^{2} = \frac{(87) 1, 900.96 + (32) 1, 584.04}{(119)} \\ σ^{2} = \frac{165, 383.52 + 50, 689.28}{119} \\ σ = \sqrt{1, 815.74} \\ σ = 42.61 \end{matrix}

n = 2 σ^{2} \frac{{(z α + z β)}^{2}}{{(μ 1 - μ 2)}^{2}}

n = 2 {(42.61)}^{2} \frac{{(1.64 + 0.842)}^{2}}{(− 50.2 - {(− 4.2)}^{2}}

n = 2 (1, 815.61) \frac{{(1.64 + 0.842)}^{2}}{(− 50.2 - {(− 4.2)}^{2}}

n = 2 (1, 815.61) \frac{6.160}{2, 116}

n = 2 (1, 815.61) (0.0029)

n = 10 . 53 p a r t i c i p a n t s

n \approx 11 p a r t i c i p a n t s .

The calculation of the number of samples in the fasting BGL group is a minimum of 9 participants, while in the 2hPP BGL group is a minimum of 11 participants.

The number of samples used in this study was taken from the largest number which calculated based on sample size formula from the two groups (BGL fasting or BGL 2hPP). The largest number of samples was taken from the BGL 2hPP group i.e: 11 participants. However, to anticipate the possibility of dropped out, the number of participants is added by 10% from a total of 11 participants ≈ 12 people.

Therefore, from the 4 groups studied each consisted of 12 participants.

σ²=population variance; σ=population standard deviation (SD); n=total number of samples each group (n₁=88; n₂=33); $Z_{(1 - \frac{α}{2})}$ = value in the standard normal distribution equal to the level of significance α = 1.64; Z_(1-β)= value in the standard normal distribution equal to the desired, β= 0.842; µ₁=mean outcome exposed/treatment group (-134 mg/dl) for BGL fasting and (-50.2 mg/dl) for BGL 2 hPP); µ₂=mean outcome unexposed/placebo group (-14 mg/dl) for fasting BGL and (-4.2 mg/dl) for 2hPP BGL; S₁=SD changes from baseline treatment group (107 mg/dl) for fasting BGL and (43.6 mg/dl) for 2hPP BGL; S₂=SD changes from baseline placebo group (77 mg/dl) for fasting BGL and (39.8 mg/dl) for 2hPP BGL. (see data from Table 2 in Kawamori et al., 2014).

The participants were divided into four groups based on the feedback from the questionnaire regarding their chewing-betel habits: Group-I. Non-T2DM participants without chewing-betel habit; II. Non-T2DM participants with chewing-betel habit; III. T2DM participants without chewing-betel habit, and IV. T2DM participants with chewing-betel habit.

Inclusion criteria

The participants were 2 different generations of the native Karo Batak tribe, aged between 20–70 years.

Exclusion criteria

The participants were subjects with a chronic disease (complication), such as liver disease, kidney disease, cardiovascular disease, lung disease, and T2DM on insulin therapy.

The sampling technique that used is consecutive sampling. The prospective participants were approached to join the study by conducting a survey previously at the research location to see the betel habits of the Karo people. After that, the research team visited the local health service center (Puskesmas Dolat Rayat) to find out about the health data and the betel habits of the local community. Afterward, the team was assisted by Puskesmas staff in collecting the participants. Furthermore, there was a time that determined at which the research team met directly and gave explanations of the aims and objectives of the researcher to research the local community. The research team explained the benefits of chewing-betel habits for health, especially to reduce blood glucose levels in T2DM patients because of the presence of gambier (Uncaria gambier Roxb) as one of the components in betel which has an antioxidant effect that can reduce BGL.

Data collection

This research was conducted from July 2021 to October 2021 at the Puskesmas Dolat Rayat in Karo District. The data collection of the subjects’ habits in this study was done via questionnaire and blood sampling to measure BGL data in one day. In the questionnaire following are the informations asked: name, age, education, occupation, history of illness, history of medicine, family history of illness, and chewing-betel habit.

Before the team taking their blood, the subjects were asked to fast (at home) from 10.00 PM to 08.00 AM (around 10 hours) the next day. The blood samples were taken at 08.00 AM straight after fasting (fasting BGL). Following this, the subjects consumed 100 grams of white bread, and 2 hours later the blood was taken again (BGL 2 hours postprandial (2hPP)).

Procedure of taking blood for measuring Blood Glucose Levels

Blood was drawn from the participant’s fingertip and the BGL was checked using a glucometer (Family Dr® Blood Glucose Monitoring System, AGM-5135, All Medicus Co., Ltd.). The steps taken are starting with washing hands and using an alcohol swab. After the subject's finger was dry, the test strip was inserted into the glucometer. The lancing device is prepared and open the lid on the device. Furthermore, the lancet is inserted into the lancing device by unscrewing the top back and adjusting the depth of the lancing device. The cocking handle is shifted to the rear. Then the finger examined is placed firmly on the side of the other finger and the lancing device button is pressed. After that, the finger is squeezed from the palm to the fingertips to get a drop of blood. The prepared test strip is then attached to the blood sample and the glucometer will show the test value.

Statistical analysis

The data collected were analyzed using SPSS version 20 by paired t-test, Independent sample t-test, Wilcoxon, and Mann-Whitney with a significance value of p <0.05.

Results

The participants in this study were the Karo tribe from 2 generations of pure Karo natives. Out of 49 potential participants, 48 were eligible to take part (Pane et al., 2022). The characteristics of the participants' distribution based on the chewing-betel habits are as follows:

Table 1 shows there were 12 participants in each of the 4 groups studied. It was found that 14 participants (29.17%) with chewing-betel habit groups had a frequency of betel >10 times a day, and the duration of chewing-betel habit as more than 10 years compared to less than 10 years was equal (12 participants, 25% in each group). Most participants (16 people; 33.33 %) reported benefits of chewing-betel to maintain health, especially mind relaxation (mood) and extra benefits for healthy and strong teeth, while others had no special reason for chewing-betel, only to follow their customs (8 people; 16.67%). In the T2DM group, there were 21 participants (43.75%) who had chewed betel suffering from diabetes for <10 years. The participants included 11 men (22.92 %) and 37 women (77.08 %). The most populous age group was 51–60 years (16 participants; 33.33%) and the least was 20–30 years (6 participants; 12.50 %). The most populous BMI category was the normal-weight group (19 participants; 39.58%). The BMI group below normal weight included 1 person (2.08%). The other participants were above normal weight. BMI classification was based on WHO (2021). Most participants had at least Senior High School level education (26 participants; 54.17%). Some worked as farmers (14 participants; 29.17%) but the largest number of participants were housewives (15 participants; 31.25%).

Table 1. Distribution of respondents based on the chewing-betel habit of the Batak-Karo tribe in Karo District.

T2DM=type 2 diabetes mellitus.

	n	Percentage (%)
Study group - Non-T2DM without chewing-betel habit - Non-T2DM with chewing-betel habit - T2DM without chewing-betel habit - T2DM with chewing-betel habit	12 12 12 12	25 25 25 25
Gender - Men - Women	11 37	22.92 77.08
Age - 20–30 - 31–40 - 41–50 - 51–60 - 61–70	6 8 9 16 9	12.50 16.67 18.75 33.33 18.75
Body mass index - Under weight - Normal weight - Overweight - Obese Class-I - Obese Class-II - Obese Class-III	1 19 17 6 4 1	2.08 39.58 35.42 12.5 8.33 2.08
Duration of T2DM - >10 years - <10 years - Never	3 21 24	6.25 43.75 50
Betel Frequency - Often >10 x in daily - Sometimes/rarely < 10 x in daily - Never	14 10 24	29.17 20.83 50
Duration of Betel habit - >10 years - <10 years - Never	12 12 24	25 25 50
Aims of chewing-betel - Calms the mind (mood), makes the teeth to be healthy and strong - Only as habit/tradition - Never	16 8 24	33.33 16.67 50
Effects of betel (feeling comfort, change coloring teeth, fresh condition feeling, irritation in the mouth, red lips, etc) - Yes - No	24 24	50 50
Education - No School - Elementary school - Junior high school - Senior high school - Academic - Undergraduate - Magister	2 5 5 26 4 5 1	4.17 10.42 10.42 54.17 8.33 10.42 2.08
Occupation - Retired/pension - Housewife/no work - Entrepreneur/sales - Civil employee - Private employee - Farmer	1 15 9 5 4 14	2.08 31.25 18.75 10.42 8.33 29.17

Table 2 shows the BGL of participants based on with or without chewing-betel habits in the Non-T2DM and T2DM groups.

Table 2. Blood glucose levels (BGL) after fasting and 2 hours postprandial (2hPP).

Groups	BGLfasting (mg/dl)	BGL 2hPP (mg/dl)	∆ of BGL (mg/dl)	p- value
I. Non-T2DM participants without chewing-betel habit	84.33 ± 12.32	111.25 ± 22.62	26.92	0.004*
II. Non-T2DM participants with chewing-betel habit	81.00 ± 4.84	108.33 ± 18.99	27.33	0.0001*
III.T2DM participants without chewing-betel habit	196.25 ± 104.81	314.92 ± 128.97	118.67	0.002**
IV.T2DM participants with chewing-betel habit	150.00 ± 42.45	229.25 ± 58.26	79.25	0.0001*

*paired t-test; **Wilcoxon test; p-value <0.05 level of significance; T2DM = type 2 diabetes mellitus

This study showed that the fasting BGL and BGL changes in each group (I, II, III, and IV) there were significantly different (p<0.05). In group-I the BGL fasting (84.33 ± 12.32) mg/dl compared BGL 2hPP (111.25 ± 22.62) mg/dl, p = 0.004, whereas interval delta (∆) of BGL (26.92) mg/dl; group-II the BGL fasting (81.00 ± 4.84) mg/dl compared BGL 2hPP (108.33 ± 18.99) mg/dl, p = 0.0001, whereas ∆ of BGL (27.33) mg/dl; group-III BGL fasting (196.25 ± 104.81) mg/dl compared BGL 2hPP (314.92 ± 128.97) mg/dl, p = 0.002, whereas ∆ of BGL (118.67) mg/dl; and group-IV BGL fasting (150.00 ± 42.45) mg/dl compared BGL 2hPP (229.25 ± 58.26) mg/dl, p = 0.0001 with ∆ of BGL (79.25) mg/dl (see Table 2).

This study showed that for comparison between BGL fasting and 2 hPP in each group, there was a significant difference between group-I (84.33 ± 12.32 vs 111.25 ± 22.62; p = 0.004); group-II (81.00 ± 4.84 vs 108.33 ± 18.99; p = 0.0001); group-III (196.25 ± 104.81 vs 314.92 ± 128.97; p = 0.002); and group-IV (150.00 ± 42.45 vs 229.25 ± 58.26; p = 0.0001) (see Table 2).

Table 2 shows the differences in the ∆ of BGL in each group and the magnitude of the increase in BGL fasting compared to BGL 2 hours postprandial. The difference in increase in BGL groups-I and -II were almost the same, namely 26.92 mg/dl and 27.33 mg/dl, not exceeding normal glucose levels both fasting and 2 hours postprandial conditions with or without habit of chewing-betel. But the highest BGL difference was found in group III-T2DM without chewing-betel habits, which was 118.67 mg/dl. Meanwhile, in the T2DM with chewing-betel habits (group-IV), the ∆ between BGL fasting and BGL2hPP was only 79.25 mg/dl. This indicates that the chewing-betel habit can restrain the increase in BGL as seen in groups-IV compared to group-III.

Based on the descriptive analysis obtained, in the fasting BGL condition, the average (mean) blood glucose score of group-I was 84.33. The second group-II with chewing-betel habit had a blood glucose score of 81.00 for fasting BGL. The blood glucose level in group-III was 196.25, while in group-IV with chewing-betel habits had a blood sugar score of 150. The lowest blood sugar levels (minimum) were in group-I with a BGL score of 61.00. However, the highest blood sugar levels (maximum) were in group-III with a BGL score of 420. The smallest range was in group-II with a score of 14 while the largest range obtained was in group-III with a score of 347. The standard deviation is in group-I with a magnitude of 12.32 is the nethermost while the largest is in group-III with a magnitude of 104.81 (see Table 3).

Table 3. Descriptive data of Blood Glucose Levels fasting and 2 hours postprandial between group-I, group-II, group-III, and group-IV.

Group	BGL fasting	2hPP BGL
I. Non-T2DM participants without chewing-betel habit - Mean - SD - Median - Range - Minimum - Maximum	84.33 12.32 86.00 44.00 61.00 105.00	111.25 22.62 107.5 78.00 84.00 162.00
II. Non-T2DM participants with chewing-betel habit - Mean - SD - Median - Range - Minimum - Maximum	81.00 4.84 81.50 14.00 74.00 88.00	108.33 18.99 112.00 50.00 81.00 131.00
III. T2DM participants without chewing-betel habit - Mean - SD - Median - Range - Minimum - Maximum	196.25 104.81 169.50 347.00 73.00 420.00	314.92 128.97 273.00 410.00 108.00 518.00
IV. T2DM participants with chewing-betel habit - Mean - SD - Median - Range - Minimum - Maximum	150.00 42.45 147.00 115.00 94.00 209.00	229.25 58.26 221.50 184.00 152.00 336.00

While in the 2hPP BGL condition, the average blood glucose level of group-I was 111.25, while the average of group-II was 108.33. Both groups showed normal blood glucose levels. In the group with T2DM without chewing-betel habit (-III) the average score of blood glucose levels is 314.92, while in the group with chewing-betel habit -(IV) it is 229.25. This shows that these two groups have an average blood glucose level above normal. The lowest blood glucose level in this condition was in group-II with a score of 81.00 and the highest in group-III with a score of 518.00. The range of blood glucose levels was the lowest in group-II with a score of 50.00 and the highest in group-III with a score of 410.00. The lowest standard deviation was 18.99 in group I and the highest in group-III with 128.97 (see Table 3).

Discussion

The frequency of chewing-betel habits among participants in this study is varied. In two groups (-II and -IV), 14 participants from a total of 24 participants in those groups had chewing-betel habits > 10 times a day (29.17%). The results of this study are the same as Kanapathy's study (2014), in which 14 samples of a total of 25 had chewing-betel habit frequency > 10 times a day.

In the present study, the highest percentage of participants suffering from Diabetes Mellitus (DM) for less than 10 years was 21 participants (43.75%), in contrast to the findings of Budiharto (2018), who found that 15 out of 25 people (60%) who had suffered from DM long-term and had a chewing-betel habit for more than 10 years. The main purpose of chewing-betel habits found in this study (16 participants, 33.33%) was to get a sense of comfort and dental health. This is supported by Budiharto's research (2018) which reported that out of a total of 25 participants (13 participants, 52%) the habit of chewing betel had the same effect. In contrast, the results of other researchers showed that as many as 68% of participants experienced porous teeth and poor oral hygiene due to betel. This could be because the subjects studied did not maintain oral hygiene, or lacked the knowledge about how to maintain oral health by chewing betel (Andriyani, 2005).

The habit of chewing-betel is often found in rural areas in Karo Regency. Chewing betel is a hereditary culture that has become a tradition of the Karo tribe to this day. This is supported by research conducted by Perangin-Angin (2017) which states that the Karo people have a tradition that involves betel activities in a series of Karo customs. However, unlike the Karo people in the countryside, the Karo people in urban areas are rarely found to have the habit of chewing betel. This may be due to hygiene factors (chewing betel causing teeth turn blackish and red) in busy urban lifestyles where Karo people who live in urban areas do not have much time to gather while chewing betel together.

Chewing-betel habit generally uses a mixture of betel leaf, lime (calcium hydroxide), gambier, and areca nut, sometimes with or without the addition of tobacco. Gambier is known to prevent various diseases because it is both anti-inflammatory and a strong antioxidant. Pane et al. (2018) reported that gambier can reduce blood glucose levels in T2DM patients by increasing levels of superoxide dismutase resulting in a decrease in malondialdehyde formation and an increase in pancreatic function in producing insulin. In the present study, we suggested that the habit of chewing betel can control BGL because of the efficacy of gambier which is one of the components in betel. It has been seen in the results that there were differences in BGL for each group with an increase in the rate from fasting BGL and BGL2hPP which can be compared as follows: the group-IV (T2DM group with chewing-betel habit) had a lower difference in increasing BGL(79.25) mg/dl compared to the group-III (T2DM group without chewing-betel habit) as much (118.67) mg/dl. In the group with chewing-betel habit, the glucose levels are lower than in the group without habit of chewing-betel. We assume the gambier is consumed as part of their chewing-betel habit can bind oxidants produced by metabolism when BGL are high, thus affecting the function of the pancreas to produce insulin. It cause the suppressed rate of increase in BGL in participants who are suffering from T2DM with chewing-betel habit. However, in the non-T2DM group (I and II), both groups with or without chewing-betel habits had BGL within normal limits.

Gambier (Uncaria gambier Roxb) which is rich in catechins plays a role in normalizing BGL (Sugiyama, 2005). The anti-oxidant catechin molecules in gambier are safe, and identified as the main bioactive compounds in gambier (Anggraini et al., 2011). Catechins can improve diabetes and its complications by modifying oxidative stress (p<0.05) (Pane et al., 2018; Samarghandian et al., 2017).

Comparing the fasting and 2 hPP BGL between groups, there was no statistically significant difference between group-I (non-T2DM participants without chewing-betel habit) and group-II (non-T2DM participants with chewing-betel habit); and also group-III (T2DM participants without chewing-betel habit) compared to group-IV (T2DM participants with chewing-betel habit), p>0.05 (see Table 4 and Table 5).

Table 4. The comparison of Blood Glucose Levels (BGL) fasting between group-I vs. group-II, and group-III vs. group-IV.

	Group – I (Non-T2DM participants without chewing-betel habit)	Group – II (Non-T2DM participants with chewing-betel habit	∆ of BGL (mg/dl)	p-value
Mean	84.33 ± 12.32	81.00 ± 4.84	3.33	0.397*
	Group -III.T2DM participants without chewing-betel habit)	Group – IV (T2DM participants with chewing-betel habit)	∆ of BGL (mg/dl)	p-value
Mean	196.25 ± 104.81	150.00 ± 42.45	46.25	0.378#

*Independent sample t-test,^#Mann-Whitney, p-value <0.05 level of significance

Table 5. The comparison of Blood Glucose Levels (BGL) 2hPP between group-I vs. group-II, and group-III vs. group-IV.

	Group – I (Non-T2DM participants without chewing-betel habit)	Group – II (Non-T2DM participants with chewing-betel habit	∆ of BGL (mg/dl)	p-value
Mean	111.25 ± 22.62	108.33 ± 18.99	2.92	0.736*
	Group -III.T2DM participants without chewing-betel habit)	Group – IV (T2DM participants with chewing-betel habit)	∆ of BGL (mg/dl)	p-value
Mean	314.92 ± 128.97	229.25 ± 58.26	85.67	0.089*

*Independent sample t-test,^#Mann-Whitney, p-value <0.05 level of significance

In the present study, the group with chewing-betel habits (II and IV) when compared to the group without chewing-betel habits (i and III) had average lower blood sugar levels in both BGL and 2hPP fasting conditions. (See Table 4 and Table 5). This indicates that the chewing-betel habit will not suppress BGL below the normal threshold in BGL fasting and BGL 2hPP conditions. Mathew & Tadi in 2021 stated that the limit of normal BGL is 72–108 mg/dl.

This study has some limitations. First, a small number of samples from people with chewing-betel habits. Second, the pandemic situation causes people to not want to be at Public Health Center for a long time, especially T2DM participants with or without chewing-betel habits. However, every step in this study was carried out under the strict health protocol procedures.

Based on the descriptive analysis obtained (Table 3), the condition of fasting BGL shows that group I and II have normal blood glucose levels. The T2DM groups namely group-III and -IV have blood glucose levels above normal. While In condition 2hPP BGL both group-I and -II shows normal blood glucose levels. But, group III and IV have average blood glucose levels above normal BGL.

Based on Table 4 and Table 5, in fasting and 2hPP conditions, the p-value obtained between groups-I and -II were 0.397 and 0.736. Meanwhile, the p-value obtained between BGL of groups-III and -IV in fasting conditions is 0.378 and in 2hPP conditions is 0.089. There was found a large gap between group-III and group-IV in the fasting condition, the ∆ value was 46.25 mg/dl while in the 2hPP condition the ∆ value was 85.67 mg/dl. We assume that in group-III there is no gambier to suppress BGL levels, in contrast to the group that has the habit of chewing betel, it seems that BGL levels are restrained. It is recommended for future research to focus on subjects with type 2 diabetes with a larger population.

Conclusion

In conclusion, chewing-betel habit clinically inhibits the increase in BGL of T2DM patients, although it is not statistically significant different. It is showed by the different in BGL between after fasting and 2hPP of the participants with chewing-betel habit is lower than those without chewing-betel habit.

Data availability

Underlying data

Figshare: The Effect of Betel Habits on Blood Glucose Levels in Karo ethnic community in Karo District. https://doi.org/10.6084/m9.figshare.17871911 (Pane et al., 2022).

This project contains the following underlying data:

- 2021-data.xlsx (raw data in Indonesian)
- Output.xlsx (statistical analysis)

Extended data

Figshare: The Effect of Betel Habits on Blood Glucose Levels in Karo ethnic community in Karo District. https://doi.org/10.6084/m9.figshare.17871911 (Pane et al., 2022).

This project contains the following extended data:

- Informed Consent.pdf
- Certificate Clinical Trial Yunita Sari Pane.pdf
- ethical clearance.pdf
- QUESIONER PENELITIAN-20122021.docx (questionnaire in Indonesian)
- Lampiran-sign.docx (information sheet in Indonesian)

Data are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).

Acknowledgments

The authors would like to thank Laboratorium Terpadu, Faculty of Medicine, Universitas Sumatera Utara, for providing the place and facilities to conduct the research.

Faculty Opinions recommended

References

Andriyani: Efek Menyirih terhadap Gigi dan Jaringan Lunak Mulut. Skripsi: Fakultas Kedokteran Gigi Universitas Sumatera Utara, 2005. Reference Source
Anggraini T, Tai A, Yoshino T, et al.: Antioxidative activity and catechin content of four kinds of Uncaria gambir extracts from West Sumatra, Indonesia. Faculty of Agricultural Technology, Andalas University. West Sumatera. Afr J Biochem Res. 2011; 5(1): 33–38. Reference Source
Budiharto MD: Status Kesehatan Perempuan dengan Kebiasaan Menyirih di Kabanjahe Kabupaten Karo. Skrpsi: Fakultas Keperawatan Universitas Sumatera Utara, 2018. Reference Source
Daryanti F, Jazuli M, Florentinus TS, et al.: Values of Character Education in the Sirih Pinang Symbol: A Cultural Value of Coastal Society. Jurnal Pendidikan Progresif. 2020; 10(2): 292–29. Publisher Full Text
Flora S, Christopher T, Mahmudur R: Betel Quid Chewing and its Risk Factors in Bangladeshi Adult. WHO South East-Asian Journal of Public Health. 2012; 1(2): 162–181. Reference Source
Gupta P, Ray C: Epidemiology of Betel quid usage. Ann Acad Med Singap. 2004; 33(4 Suppl): 31–6. PubMed Abstract
Kanapathy AP: Hubungan Kebiasaan Menyirih dengan Kanker Mulut pada penduduk Komunitas India di lingkungan Klang, Selangor, Malaysia. Skripsi: Fakultas Kedokteran Gigi Universitas Sumatera Utara, 2014. Reference Source
Kawamori R, Kaku K, Hanafusa T, et al.: Effect of combination therapy with repaglinide and metformin hydrochloride on glycemic control in Japanese patients with type 2 diabetes mellitus. J Diabetes Investig. 2014; 5(1): 72–79. PubMed Abstract | Publisher Full Text | Free Full Text
Lombu ES: Kebiasaan Menyirih dan Kesehatan Rongga Mulut Lansia di Desa Hilibadalu Kabupaten Nias. Skripsi: Fakultas Kperawatan Universitas Sumatera Utara, 2014. Reference Source
Mathew TK, Tadi P: Blood Glucose Monitoring. In: StatPearls. Treasure Island (FL): StatPearls Publishing; 2021; [Updated 2021 Aug 11]. Reference Source
Musdja MY, Rahman HA, Hasan D: Antioxidant Activity of Cathecins Isolate of Uncaria Gambier ROXB in male Rats. Life: Int J Health Life Sci. 2018; 4(2): 34–46. Publisher Full Text
Pane YS, Ganie RA, Lindarto D, et al.: The effect of gambier extract on the levels of malondialdehyde, superoxide dismutase, and blood glucose type 2 diabetes mellitus patients. Asian J Pharm Clin Res. 2018; 11(10): 121–124. Publisher Full Text
Pane YS, Machrina Y, Arrasyid NK, et al.: The Effect of Betel Habits on Blood Glucose Levels in Karo ethnic community in Karo District. figshare. Dataset, 2022. http://www.doi.org/10.6084/m9.figshare.17871911.v1
Perangin-Angin SA: Tokoh Adat Dari Marga Perangin-angin. 2017.
Samarghandian S, Azimi-Nezhad M, Farkhondeh T: Catechin treatment ameliorates diabetes and its complications in streptozotocin-induced diabetic rats. Dose Response. 2017; 15(1): 1559325817691158. PubMed Abstract | Publisher Full Text | Free Full Text
Sinuhaji LN: Perilaku menyirih dan dampaknya terhadap kesehatan yang dirasakan wanita karo di Desa Sempajaya Kecamatan Berastagi Kabupaten Karo. Skripsi: Fakultas Kesehatan Masyarakat Universitas Sumatera Utara, 2010. Reference Source
Sugiyama S: [Pharmacological action of gambir]. Yakushigaku Zasshi. 2005; 40(1): 29–33. PubMed Abstract
Umeno A, Horie M, Murotomi K, et al.: Antioxidative and antidiabetic effects of natural polyphenols and isoflavones. Molecules. 2016; 21(6): 708. PubMed Abstract | Publisher Full Text | Free Full Text
WHO: Body mass index (BMI). 2021. Reference Source

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Version 4

VERSION 4 PUBLISHED 26 Jan 2022

Author details Author details

Yetty Machrina
Roles: Investigation, Writing – Review & Editing

Nurfida Khairina Arrasyid
Roles: Data Curation, Formal Analysis

Mutiara Indah Sari
Roles: Methodology, Resources

Competing interests

No competing interests were disclosed.

Grant information

This work was supported by the Indonesian Ministry of Science and Higher Education, number: 12/E1/KP.PTNBH/2021.
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Article Versions (4)

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Revised

Published: 06 Dec 2023, 11:100

https://doi.org/10.12688/f1000research.75763.4

version 3

Revised

Published: 18 Oct 2022, 11:100

https://doi.org/10.12688/f1000research.75763.3

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Published: 18 Aug 2022, 11:100

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Published: 26 Jan 2022, 11:100

https://doi.org/10.12688/f1000research.75763.1

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Pane YS, Machrina Y, Arrasyid NK and Sari MI. The effect of chewing-betel habits on blood glucose levels in the Karo ethnic community, Karo district [version 4; peer review: 1 approved, 1 approved with reservations]. F1000Research 2023, 11:100 (https://doi.org/10.12688/f1000research.75763.4)

NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article.

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Reviewer Report 19 Oct 2023

Hadeer Akram Abdulrazzaq Al-Ani, Department of Public Health, School of Medicine, University of California Davis, Davis, CA, USA

Approved with Reservations

https://doi.org/10.5256/f1000research.139203.r208629

Thanks for allowing me to review this manuscript. Several corrections should be made.

Abstract: Please delete and rephrase the sentence “Our previous study showed that”.
Methodology: The sample size - Please

Thanks for allowing me to review this manuscript. Several corrections should be made.

Abstract: Please delete and rephrase the sentence “Our previous study showed that”.
Methodology: The sample size - Please justify why you selected this formula. Why did you select the numbers for each parameter (for example, you chose 88 for n1 and the same for others)? Justify and support with references.
Limitations: Please add to the limitations the accuracy of using the Family Dr® Blood Glucose Monitoring System, AGM-5135, All Medicus Co., Ltd..
Statistical analysis: There is a significant limitation of using independent t-tests, etc., because these tests are biased, especially when measuring the overall effects of the groups. This is very clear in the statistical analysis and interpretations obtained in this study, where there was no significance in some results while significant in others. The best statistical test should be used regardless of the sample size, normality, and others should be repeated measured with ANOVA and post-hoc because the effect size will be clearer to the readers and give the final decision on whether chewing Betel has a significant effect. Therefore, I recommend re-analyzing the statistical tests and reformatting and re-editing the manuscript. The main reason I request this is that there is no point in your study in this figure; the readers now see that chewing Betel is significant and not significant, which one should be recommended?
Please update your references with ones from the last five years.
In the discussion, please do not discuss the confounding factors like duration of use because there are no findings in your statistical outputs about it.

Is the work clearly and accurately presented and does it cite the current literature?

Partly
Is the study design appropriate and is the work technically sound?

Yes
Are sufficient details of methods and analysis provided to allow replication by others?

Partly
If applicable, is the statistical analysis and its interpretation appropriate?

No
Are all the source data underlying the results available to ensure full reproducibility?

Yes
Are the conclusions drawn adequately supported by the results?

Partly

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Clinical Pharmacy, Public Health, Biostatistics, Pharmacology genetics

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.

CITE

Report a concern

Author Response 06 Dec 2023

Yunita Sari Pane, Department of Pharmacology and Therapeutics, Faculty of Medicine, Universitas Sumatera Utara, Medan, 20155, Indonesia

06 Dec 2023

Author Response

Dear Reviewer,
Kindly check on the progress on latest revision from the 2nd reviewer for the further process.

Thank You.

From,
Yunita Sari Pane
Competing Interests: No competing interests were disclosed.
Dear Reviewer,
Kindly check on the progress on latest revision from the 2nd reviewer for the further process.

Thank You.

From,
Yunita Sari Pane
Dear Reviewer,
Kindly check on the progress on latest revision from the 2nd reviewer for the further process.

Thank You.

From,
Yunita Sari Pane
Competing Interests: No competing interests were disclosed. Close
Report a concern
Author Response 17 Jan 2024

Yunita Sari Pane, Department of Pharmacology and Therapeutics, Faculty of Medicine, Universitas Sumatera Utara, Medan, 20155, Indonesia

17 Jan 2024

Author Response

Dear Hadeer Akram Abdulrazzaq Al-Ani (the second reviewer)
Thank you for your comment on improving our article.
Here I respond to your comment and question.

Suggestion No. 1:
Abstract: ... Continue reading Dear Hadeer Akram Abdulrazzaq Al-Ani (the second reviewer)
Thank you for your comment on improving our article.
Here I respond to your comment and question.

Suggestion No. 1:
Abstract: Please delete and rephrase the sentences “Our previous study showed that”
Replied No. 1:
Delete

Question No. 2:
Methodology: The sample size - Please justify why you selected this formula. Why did you select the numbers for each parameter (for example, you chose 88 for n1 and the same for others)? Justify and support with references.
Answer No.2:
Based on Kawamori et al., 2014 (page76 Table 2 Changes in glycemic control)
BGL Fasting:
n1=92(baseline intervention group)
n2=36(baseline placebo group)
S1=25.8(Standard deviation of BGL fasting changes from baseline intervention group)
S2=15.1(Standard deviation of BGL fasting changes from the baseline placebo group)
m1=-29.2
m2=-3.4
Zα=1.64
Zβ=0.842
σ 2 == (n1- 1) S12 + (n2 - 1) S 22
(n1 + n2 - 2)
Thus, σ for BGL fasting is 20.43
Thus, n for BGL fasting is 7.7≈8 subject.
BGL 2hour PP:
n1=88(baseline intervention group)
n2=33(baseline placebo group)
S1=43.6(Standard deviation of BGL fasting changes from baseline intervention group)
S2=39.8(Standard deviation of BGL fasting changes from the baseline placebo group)
m1=-50,2
m2=-4,2
Zα= 1.64
Zβ= 0.842
σ 2 == (n1 - 1) S12 + (n2 - 1)S22
(n1 + n2 - 2)
Thus, σ for BGL 2hour PP is 42.77
Thus, n for BGL 2hour PP is 10.57≈ 11 subject.
From the results of the sample size formula calculation above, the sample size (n) for BGL fasting is a minimum of 8 subjects, while n for BGL2hour PP is a minimum of 11 subjects.
Considering the possibility of sample dropout increasing by 10% from the n obtained, it was decided to take the largest sample (11 subjects), so that the number of n used in this study for each group was 12 subjects.

Suggestion No.3:
Limitations: Please add to the limitations the accuracy of using the Family Dr® Blood Glucose Monitoring System, AGM-5135, All Medicus Co., Ltd.
Replied No. 3:
Thirdly, limitations for accuracy of using the Family Dr® Blood Glucose Monitoring System, AGM-5135, All Medicus Co., Ltd is due to the peripheral blood(end of the extremities) is used in the study where the reading might slightly be different compared to the blood taken from a vein. Unfortunately, the study was held during the pandemic thus the situation was not favorable and caused us to carry out a simple method in the study.

Question No. 4:
1. Statistical analysis: There is a significant limitation of using independent t-tests, etc., because these tests are biased, especially when measuring the overall effects of the groups. This is very clear in the statistical analysis and interpretations obtained in this study, where there was no significance in some results while significant in others. The best statistical test should be used regardless of the sample size, and normality, and others should be repeatedly measured with ANOVA and posthoc because the effect size will be clearer to the readers and give the final decision on whether chewing Betel has a significant effect. Therefore, I recommend re-analyzing the statistical tests and reformatting and re-editing the manuscript. The main reason I request this is that there is no point in your study in this figure; the readers now see that chewing Betel is significant and not significant, which one should be recommended?
Answer No. 4:
Our reason for using paired t-test, Independent sample t-test, Wilcoxon, and Mann-Whitney, is because:
1. The sample size is too small in this study and the standard deviation (SD) is too wide, especially in groups III and IV. Normally, in this case, it is a parametric statistic but the data is not homogenous, so it is not recommended to use the ANOVA test although the data in the study is parametric.
We would like to analyze the data before and after the study is conducted, as we want to observe the difference in the BGL in each group and compare it among the groups themselves.

Suggestion No. 5:
Please update your references with ones from the last five years.
Replied No. 5:
Great apologies, as we can’t change the references as those have been fundamental for my study, however I consider your suggestion by providing some latest references which are realatable to my study.
Daryanti F, Jazuli M, Florentinus TS, Hartono. Values of Character Education in the Sirih Pinang Symbol: A Cultural Value of Coastal Society. Jurnal Pendidikan Progresif. 2020; 10(2): 292-29
Musdja. Antioxidant Activity of Cathecins Isolate of Uncaria Gambier ROXB in Male Rats. LIFE: International Journal of Health and Life-Sciences. 2018; 4(2): 34-46.

Question No. 6:
In the discussion, please do not discuss confounding factors like duration of use because there are no findings in your statistical outputs about it.
Answer No. 6:
We include duration in our study because we consider it as baseline data in our study, thus it is important to be measured, but not required to be included in the statistic analysis.

Dear Hadeer Akram Abdulrazzaq Al-Ani (the second reviewer)
Thank you for your comment on improving our article.
Here I respond to your comment and question.

Suggestion No. 1:
Abstract: Please delete and rephrase the sentences “Our previous study showed that”
Replied No. 1:
Delete

Question No. 2:
Methodology: The sample size - Please justify why you selected this formula. Why did you select the numbers for each parameter (for example, you chose 88 for n1 and the same for others)? Justify and support with references.
Answer No.2:
Based on Kawamori et al., 2014 (page76 Table 2 Changes in glycemic control)
BGL Fasting:
n1=92(baseline intervention group)
n2=36(baseline placebo group)
S1=25.8(Standard deviation of BGL fasting changes from baseline intervention group)
S2=15.1(Standard deviation of BGL fasting changes from the baseline placebo group)
m1=-29.2
m2=-3.4
Zα=1.64
Zβ=0.842
σ 2 == (n1- 1) S12 + (n2 - 1) S 22
(n1 + n2 - 2)
Thus, σ for BGL fasting is 20.43
Thus, n for BGL fasting is 7.7≈8 subject.
BGL 2hour PP:
n1=88(baseline intervention group)
n2=33(baseline placebo group)
S1=43.6(Standard deviation of BGL fasting changes from baseline intervention group)
S2=39.8(Standard deviation of BGL fasting changes from the baseline placebo group)
m1=-50,2
m2=-4,2
Zα= 1.64
Zβ= 0.842
σ 2 == (n1 - 1) S12 + (n2 - 1)S22
(n1 + n2 - 2)
Thus, σ for BGL 2hour PP is 42.77
Thus, n for BGL 2hour PP is 10.57≈ 11 subject.
From the results of the sample size formula calculation above, the sample size (n) for BGL fasting is a minimum of 8 subjects, while n for BGL2hour PP is a minimum of 11 subjects.
Considering the possibility of sample dropout increasing by 10% from the n obtained, it was decided to take the largest sample (11 subjects), so that the number of n used in this study for each group was 12 subjects.

Suggestion No.3:
Limitations: Please add to the limitations the accuracy of using the Family Dr® Blood Glucose Monitoring System, AGM-5135, All Medicus Co., Ltd.
Replied No. 3:
Thirdly, limitations for accuracy of using the Family Dr® Blood Glucose Monitoring System, AGM-5135, All Medicus Co., Ltd is due to the peripheral blood(end of the extremities) is used in the study where the reading might slightly be different compared to the blood taken from a vein. Unfortunately, the study was held during the pandemic thus the situation was not favorable and caused us to carry out a simple method in the study.

Question No. 4:
1. Statistical analysis: There is a significant limitation of using independent t-tests, etc., because these tests are biased, especially when measuring the overall effects of the groups. This is very clear in the statistical analysis and interpretations obtained in this study, where there was no significance in some results while significant in others. The best statistical test should be used regardless of the sample size, and normality, and others should be repeatedly measured with ANOVA and posthoc because the effect size will be clearer to the readers and give the final decision on whether chewing Betel has a significant effect. Therefore, I recommend re-analyzing the statistical tests and reformatting and re-editing the manuscript. The main reason I request this is that there is no point in your study in this figure; the readers now see that chewing Betel is significant and not significant, which one should be recommended?
Answer No. 4:
Our reason for using paired t-test, Independent sample t-test, Wilcoxon, and Mann-Whitney, is because:
1. The sample size is too small in this study and the standard deviation (SD) is too wide, especially in groups III and IV. Normally, in this case, it is a parametric statistic but the data is not homogenous, so it is not recommended to use the ANOVA test although the data in the study is parametric.
We would like to analyze the data before and after the study is conducted, as we want to observe the difference in the BGL in each group and compare it among the groups themselves.

Suggestion No. 5:
Please update your references with ones from the last five years.
Replied No. 5:
Great apologies, as we can’t change the references as those have been fundamental for my study, however I consider your suggestion by providing some latest references which are realatable to my study.
Daryanti F, Jazuli M, Florentinus TS, Hartono. Values of Character Education in the Sirih Pinang Symbol: A Cultural Value of Coastal Society. Jurnal Pendidikan Progresif. 2020; 10(2): 292-29
Musdja. Antioxidant Activity of Cathecins Isolate of Uncaria Gambier ROXB in Male Rats. LIFE: International Journal of Health and Life-Sciences. 2018; 4(2): 34-46.

Question No. 6:
In the discussion, please do not discuss confounding factors like duration of use because there are no findings in your statistical outputs about it.
Answer No. 6:
We include duration in our study because we consider it as baseline data in our study, thus it is important to be measured, but not required to be included in the statistic analysis.

Competing Interests: No competing interests were disclosed. Close
Report a concern
Respond or Comment

COMMENTS ON THIS REPORT

Author Response 06 Dec 2023

Yunita Sari Pane, Department of Pharmacology and Therapeutics, Faculty of Medicine, Universitas Sumatera Utara, Medan, 20155, Indonesia

06 Dec 2023

Author Response

Dear Reviewer,
Kindly check on the progress on latest revision from the 2nd reviewer for the further process.

Thank You.

From,
Yunita Sari Pane
Competing Interests: No competing interests were disclosed.
Dear Reviewer,
Kindly check on the progress on latest revision from the 2nd reviewer for the further process.

Thank You.

From,
Yunita Sari Pane
Dear Reviewer,
Kindly check on the progress on latest revision from the 2nd reviewer for the further process.

Thank You.

From,
Yunita Sari Pane
Competing Interests: No competing interests were disclosed. Close
Report a concern
Author Response 17 Jan 2024

Yunita Sari Pane, Department of Pharmacology and Therapeutics, Faculty of Medicine, Universitas Sumatera Utara, Medan, 20155, Indonesia

17 Jan 2024

Author Response

Dear Hadeer Akram Abdulrazzaq Al-Ani (the second reviewer)
Thank you for your comment on improving our article.
Here I respond to your comment and question.

Suggestion No. 1:
Abstract: ... Continue reading Dear Hadeer Akram Abdulrazzaq Al-Ani (the second reviewer)
Thank you for your comment on improving our article.
Here I respond to your comment and question.

Suggestion No. 1:
Abstract: Please delete and rephrase the sentences “Our previous study showed that”
Replied No. 1:
Delete

Question No. 2:
Methodology: The sample size - Please justify why you selected this formula. Why did you select the numbers for each parameter (for example, you chose 88 for n1 and the same for others)? Justify and support with references.
Answer No.2:
Based on Kawamori et al., 2014 (page76 Table 2 Changes in glycemic control)
BGL Fasting:
n1=92(baseline intervention group)
n2=36(baseline placebo group)
S1=25.8(Standard deviation of BGL fasting changes from baseline intervention group)
S2=15.1(Standard deviation of BGL fasting changes from the baseline placebo group)
m1=-29.2
m2=-3.4
Zα=1.64
Zβ=0.842
σ 2 == (n1- 1) S12 + (n2 - 1) S 22
(n1 + n2 - 2)
Thus, σ for BGL fasting is 20.43
Thus, n for BGL fasting is 7.7≈8 subject.
BGL 2hour PP:
n1=88(baseline intervention group)
n2=33(baseline placebo group)
S1=43.6(Standard deviation of BGL fasting changes from baseline intervention group)
S2=39.8(Standard deviation of BGL fasting changes from the baseline placebo group)
m1=-50,2
m2=-4,2
Zα= 1.64
Zβ= 0.842
σ 2 == (n1 - 1) S12 + (n2 - 1)S22
(n1 + n2 - 2)
Thus, σ for BGL 2hour PP is 42.77
Thus, n for BGL 2hour PP is 10.57≈ 11 subject.
From the results of the sample size formula calculation above, the sample size (n) for BGL fasting is a minimum of 8 subjects, while n for BGL2hour PP is a minimum of 11 subjects.
Considering the possibility of sample dropout increasing by 10% from the n obtained, it was decided to take the largest sample (11 subjects), so that the number of n used in this study for each group was 12 subjects.

Suggestion No.3:
Limitations: Please add to the limitations the accuracy of using the Family Dr® Blood Glucose Monitoring System, AGM-5135, All Medicus Co., Ltd.
Replied No. 3:
Thirdly, limitations for accuracy of using the Family Dr® Blood Glucose Monitoring System, AGM-5135, All Medicus Co., Ltd is due to the peripheral blood(end of the extremities) is used in the study where the reading might slightly be different compared to the blood taken from a vein. Unfortunately, the study was held during the pandemic thus the situation was not favorable and caused us to carry out a simple method in the study.

Question No. 4:
1. Statistical analysis: There is a significant limitation of using independent t-tests, etc., because these tests are biased, especially when measuring the overall effects of the groups. This is very clear in the statistical analysis and interpretations obtained in this study, where there was no significance in some results while significant in others. The best statistical test should be used regardless of the sample size, and normality, and others should be repeatedly measured with ANOVA and posthoc because the effect size will be clearer to the readers and give the final decision on whether chewing Betel has a significant effect. Therefore, I recommend re-analyzing the statistical tests and reformatting and re-editing the manuscript. The main reason I request this is that there is no point in your study in this figure; the readers now see that chewing Betel is significant and not significant, which one should be recommended?
Answer No. 4:
Our reason for using paired t-test, Independent sample t-test, Wilcoxon, and Mann-Whitney, is because:
1. The sample size is too small in this study and the standard deviation (SD) is too wide, especially in groups III and IV. Normally, in this case, it is a parametric statistic but the data is not homogenous, so it is not recommended to use the ANOVA test although the data in the study is parametric.
We would like to analyze the data before and after the study is conducted, as we want to observe the difference in the BGL in each group and compare it among the groups themselves.

Suggestion No. 5:
Please update your references with ones from the last five years.
Replied No. 5:
Great apologies, as we can’t change the references as those have been fundamental for my study, however I consider your suggestion by providing some latest references which are realatable to my study.
Daryanti F, Jazuli M, Florentinus TS, Hartono. Values of Character Education in the Sirih Pinang Symbol: A Cultural Value of Coastal Society. Jurnal Pendidikan Progresif. 2020; 10(2): 292-29
Musdja. Antioxidant Activity of Cathecins Isolate of Uncaria Gambier ROXB in Male Rats. LIFE: International Journal of Health and Life-Sciences. 2018; 4(2): 34-46.

Question No. 6:
In the discussion, please do not discuss confounding factors like duration of use because there are no findings in your statistical outputs about it.
Answer No. 6:
We include duration in our study because we consider it as baseline data in our study, thus it is important to be measured, but not required to be included in the statistic analysis.

Dear Hadeer Akram Abdulrazzaq Al-Ani (the second reviewer)
Thank you for your comment on improving our article.
Here I respond to your comment and question.

Suggestion No. 1:
Abstract: Please delete and rephrase the sentences “Our previous study showed that”
Replied No. 1:
Delete

Question No. 2:
Methodology: The sample size - Please justify why you selected this formula. Why did you select the numbers for each parameter (for example, you chose 88 for n1 and the same for others)? Justify and support with references.
Answer No.2:
Based on Kawamori et al., 2014 (page76 Table 2 Changes in glycemic control)
BGL Fasting:
n1=92(baseline intervention group)
n2=36(baseline placebo group)
S1=25.8(Standard deviation of BGL fasting changes from baseline intervention group)
S2=15.1(Standard deviation of BGL fasting changes from the baseline placebo group)
m1=-29.2
m2=-3.4
Zα=1.64
Zβ=0.842
σ 2 == (n1- 1) S12 + (n2 - 1) S 22
(n1 + n2 - 2)
Thus, σ for BGL fasting is 20.43
Thus, n for BGL fasting is 7.7≈8 subject.
BGL 2hour PP:
n1=88(baseline intervention group)
n2=33(baseline placebo group)
S1=43.6(Standard deviation of BGL fasting changes from baseline intervention group)
S2=39.8(Standard deviation of BGL fasting changes from the baseline placebo group)
m1=-50,2
m2=-4,2
Zα= 1.64
Zβ= 0.842
σ 2 == (n1 - 1) S12 + (n2 - 1)S22
(n1 + n2 - 2)
Thus, σ for BGL 2hour PP is 42.77
Thus, n for BGL 2hour PP is 10.57≈ 11 subject.
From the results of the sample size formula calculation above, the sample size (n) for BGL fasting is a minimum of 8 subjects, while n for BGL2hour PP is a minimum of 11 subjects.
Considering the possibility of sample dropout increasing by 10% from the n obtained, it was decided to take the largest sample (11 subjects), so that the number of n used in this study for each group was 12 subjects.

Suggestion No.3:
Limitations: Please add to the limitations the accuracy of using the Family Dr® Blood Glucose Monitoring System, AGM-5135, All Medicus Co., Ltd.
Replied No. 3:
Thirdly, limitations for accuracy of using the Family Dr® Blood Glucose Monitoring System, AGM-5135, All Medicus Co., Ltd is due to the peripheral blood(end of the extremities) is used in the study where the reading might slightly be different compared to the blood taken from a vein. Unfortunately, the study was held during the pandemic thus the situation was not favorable and caused us to carry out a simple method in the study.

Question No. 4:
1. Statistical analysis: There is a significant limitation of using independent t-tests, etc., because these tests are biased, especially when measuring the overall effects of the groups. This is very clear in the statistical analysis and interpretations obtained in this study, where there was no significance in some results while significant in others. The best statistical test should be used regardless of the sample size, and normality, and others should be repeatedly measured with ANOVA and posthoc because the effect size will be clearer to the readers and give the final decision on whether chewing Betel has a significant effect. Therefore, I recommend re-analyzing the statistical tests and reformatting and re-editing the manuscript. The main reason I request this is that there is no point in your study in this figure; the readers now see that chewing Betel is significant and not significant, which one should be recommended?
Answer No. 4:
Our reason for using paired t-test, Independent sample t-test, Wilcoxon, and Mann-Whitney, is because:
1. The sample size is too small in this study and the standard deviation (SD) is too wide, especially in groups III and IV. Normally, in this case, it is a parametric statistic but the data is not homogenous, so it is not recommended to use the ANOVA test although the data in the study is parametric.
We would like to analyze the data before and after the study is conducted, as we want to observe the difference in the BGL in each group and compare it among the groups themselves.

Suggestion No. 5:
Please update your references with ones from the last five years.
Replied No. 5:
Great apologies, as we can’t change the references as those have been fundamental for my study, however I consider your suggestion by providing some latest references which are realatable to my study.
Daryanti F, Jazuli M, Florentinus TS, Hartono. Values of Character Education in the Sirih Pinang Symbol: A Cultural Value of Coastal Society. Jurnal Pendidikan Progresif. 2020; 10(2): 292-29
Musdja. Antioxidant Activity of Cathecins Isolate of Uncaria Gambier ROXB in Male Rats. LIFE: International Journal of Health and Life-Sciences. 2018; 4(2): 34-46.

Question No. 6:
In the discussion, please do not discuss confounding factors like duration of use because there are no findings in your statistical outputs about it.
Answer No. 6:
We include duration in our study because we consider it as baseline data in our study, thus it is important to be measured, but not required to be included in the statistic analysis.

Competing Interests: No competing interests were disclosed. Close
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Reviewer Report 26 Oct 2022

Mustofa Mustofa, Department of Pharmacology and Therapy, Faculty of Medicine, Public Health and Nursing (FK-KMK), Universitas Gadjah Mada, Yogyakarta, Indonesia

Approved

https://doi.org/10.5256/f1000research.139203.r153576

Revisions have been conducted by the ... Continue reading

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Version 2

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PUBLISHED 18 Aug 2022

Revised

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Reviewer Report 05 Sep 2022

Mustofa Mustofa, Department of Pharmacology and Therapy, Faculty of Medicine, Public Health and Nursing (FK-KMK), Universitas Gadjah Mada, Yogyakarta, Indonesia

Approved with Reservations

https://doi.org/10.5256/f1000research.137109.r147870

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Author Response 13 Sep 2022

Yunita Sari Pane, Department of Pharmacology and Therapeutics, Faculty of Medicine, Universitas Sumatera Utara, Medan, 20155, Indonesia

13 Sep 2022

Author Response

Dear Prof. Mustofa,

We really appreciate your willingness to review my manuscript.
We will correct it as per your suggestion.
Thanks for your work in improving this article.

... Continue reading Dear Prof. Mustofa,

We really appreciate your willingness to review my manuscript.
We will correct it as per your suggestion.
Thanks for your work in improving this article.

Best regards,
Yunita Sari Pane
Dear Prof. Mustofa,

We really appreciate your willingness to review my manuscript.
We will correct it as per your suggestion.
Thanks for your work in improving this article.

Best regards,
Yunita Sari Pane
Competing Interests: No competing interests were disclosed. Close
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Author Response 13 Sep 2022

Yunita Sari Pane, Department of Pharmacology and Therapeutics, Faculty of Medicine, Universitas Sumatera Utara, Medan, 20155, Indonesia

13 Sep 2022

Author Response

Dear Prof. Mustofa,

We really appreciate your willingness to review my manuscript.
We will correct it as per your suggestion.
Thanks for your work in improving this article.

... Continue reading Dear Prof. Mustofa,

We really appreciate your willingness to review my manuscript.
We will correct it as per your suggestion.
Thanks for your work in improving this article.

Best regards,
Yunita Sari Pane
Dear Prof. Mustofa,

We really appreciate your willingness to review my manuscript.
We will correct it as per your suggestion.
Thanks for your work in improving this article.

Best regards,
Yunita Sari Pane
Competing Interests: No competing interests were disclosed. Close
Report a concern

Version 1

VERSION 1

PUBLISHED 26 Jan 2022

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Reviewer Report 12 Apr 2022

Mustofa Mustofa, Department of Pharmacology and Therapy, Faculty of Medicine, Public Health and Nursing (FK-KMK), Universitas Gadjah Mada, Yogyakarta, Indonesia

Approved with Reservations

https://doi.org/10.5256/f1000research.79681.r121181

1. The manuscript needs extensive revision for language and grammar. Some editing is required.

2. The inclusion criteria used are not presented specifically.

3. The methods sections normally presented in narration not in instruction.
... Continue reading

The main objective of the study was to evaluate the effect of betel habits on BGL. Therefore, analysis and discussion should be focused by comparing the results of groups III and IV. The sample size is too small in this study and the standard deviation (SD) is too wide, especially groups III and IV. Normally, in this case, a nonparametric statistic is recommended. In this study, the Anova was applied. Therefore, I recommend using nonparametric statistics with data presented in median +/- range.

5. The conclusion needs revision:

It was too early to conclude that betel habits can restrain the increase of BGL. The authors did not compare the fasting BGL between group III and group IV. The conclusion just based on the BGL 2 h PP. Moreover, the conclusion should be revised based on the new statistical analysis results.

Other:

The quality of the manuscript should be improved. For example, it is needed to present the calculation of the sample size in this manuscript. The English also should be improved.

Is the work clearly and accurately presented and does it cite the current literature?

Partly
Is the study design appropriate and is the work technically sound?

Partly
Are sufficient details of methods and analysis provided to allow replication by others?

Yes
If applicable, is the statistical analysis and its interpretation appropriate?

Partly
Are all the source data underlying the results available to ensure full reproducibility?

Partly
Are the conclusions drawn adequately supported by the results?

Partly

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Pharmacology and Ethnopharmacology.

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Author Response 03 Aug 2022

Yunita Sari Pane, Department of Pharmacology and Therapeutics, Faculty of Medicine, Universitas Sumatera Utara, Medan, 20155, Indonesia

03 Aug 2022

Author Response
Thank you for reviewing and suggesting some constructive amendments to the article.

Answering the question number:
1. We’ve revised the article for language, grammar, and editing.
2. Inclusion
... Continue reading
Thank you for reviewing and suggesting some constructive amendments to the article.

Answering the question number:

We’ve revised the article for language, grammar, and editing.

Inclusion and exclusion criteria have been presented (see page 4).

The method section has been presented in narration (see page 4).

Statistical analysis of the articles has been adjusted and the discussion has focused more on groups 3 and 4 as suggested.

The conclusion of the article has also been fixed

The conclusion of the article has been revised based on improved statistical analysis

The conclusion of the sample size calculations has been presented since the inception of the publication

Thank you for your suggestion, we had been trying to improve our ability in scientific language.
Thank you for reviewing and suggesting some constructive amendments to the article.

Answering the question number:

We’ve revised the article for language, grammar, and editing.

Inclusion and exclusion criteria have been presented (see page 4).

The method section has been presented in narration (see page 4).

Statistical analysis of the articles has been adjusted and the discussion has focused more on groups 3 and 4 as suggested.

The conclusion of the article has also been fixed

The conclusion of the article has been revised based on improved statistical analysis

The conclusion of the sample size calculations has been presented since the inception of the publication

Thank you for your suggestion, we had been trying to improve our ability in scientific language.
Competing Interests: No competing interests were disclosed. Close
Report a concern
Respond or Comment

COMMENTS ON THIS REPORT

Author Response 03 Aug 2022

Yunita Sari Pane, Department of Pharmacology and Therapeutics, Faculty of Medicine, Universitas Sumatera Utara, Medan, 20155, Indonesia

03 Aug 2022

Author Response
Thank you for reviewing and suggesting some constructive amendments to the article.

Answering the question number:
1. We’ve revised the article for language, grammar, and editing.
2. Inclusion
... Continue reading
Thank you for reviewing and suggesting some constructive amendments to the article.

Answering the question number:

We’ve revised the article for language, grammar, and editing.

Inclusion and exclusion criteria have been presented (see page 4).

The method section has been presented in narration (see page 4).

Statistical analysis of the articles has been adjusted and the discussion has focused more on groups 3 and 4 as suggested.

The conclusion of the article has also been fixed

The conclusion of the article has been revised based on improved statistical analysis

The conclusion of the sample size calculations has been presented since the inception of the publication

Thank you for your suggestion, we had been trying to improve our ability in scientific language.
Thank you for reviewing and suggesting some constructive amendments to the article.

Answering the question number:

We’ve revised the article for language, grammar, and editing.

Inclusion and exclusion criteria have been presented (see page 4).

The method section has been presented in narration (see page 4).

Statistical analysis of the articles has been adjusted and the discussion has focused more on groups 3 and 4 as suggested.

The conclusion of the article has also been fixed

The conclusion of the article has been revised based on improved statistical analysis

The conclusion of the sample size calculations has been presented since the inception of the publication

Thank you for your suggestion, we had been trying to improve our ability in scientific language.
Competing Interests: No competing interests were disclosed. Close
Report a concern

Comments on this article Comments (0)

Version 4

VERSION 4 PUBLISHED 26 Jan 2022

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Version 4 (revision) 06 Dec 23
Version 3 (revision) 18 Oct 22	read	read
Version 2 (revision) 18 Aug 22	read
Version 1 26 Jan 22	read

Mustofa Mustofa, Universitas Gadjah Mada, Yogyakarta, Indonesia
Hadeer Akram Abdulrazzaq Al-Ani, University of California Davis, Davis, USA

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19 Oct 2023 | for Version 3

Hadeer Akram Abdulrazzaq Al-Ani, Department of Public Health, School of Medicine, University of California Davis, Davis, CA, USA

38 Views Cite this report Responses(2)

Approved With Reservations

Thanks for allowing me to review this manuscript. Several corrections should be made.

Abstract: Please delete and rephrase the sentence “Our previous study showed that”.
Methodology: The sample size - Please justify why you selected this formula. Why did you select the numbers for each parameter (for example, you chose 88 for n1 and the same for others)? Justify and support with references.
Limitations: Please add to the limitations the accuracy of using the Family Dr® Blood Glucose Monitoring System, AGM-5135, All Medicus Co., Ltd..
Statistical analysis: There is a significant limitation of using independent t-tests, etc., because these tests are biased, especially when measuring the overall effects of the groups. This is very clear in the statistical analysis and interpretations obtained in this study, where there was no significance in some results while significant in others. The best statistical test should be used regardless of the sample size, normality, and others should be repeated measured with ANOVA and post-hoc because the effect size will be clearer to the readers and give the final decision on whether chewing Betel has a significant effect. Therefore, I recommend re-analyzing the statistical tests and reformatting and re-editing the manuscript. The main reason I request this is that there is no point in your study in this figure; the readers now see that chewing Betel is significant and not significant, which one should be recommended?
Please update your references with ones from the last five years.
In the discussion, please do not discuss the confounding factors like duration of use because there are no findings in your statistical outputs about it.

Is the work clearly and accurately presented and does it cite the current literature?

Partly
Is the study design appropriate and is the work technically sound?

Yes
Are sufficient details of methods and analysis provided to allow replication by others?

Partly
If applicable, is the statistical analysis and its interpretation appropriate?

No
Are all the source data underlying the results available to ensure full reproducibility?

Yes
Are the conclusions drawn adequately supported by the results?

Partly

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Clinical Pharmacy, Public Health, Biostatistics, Pharmacology genetics

Respond to this report

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Author Response

17 Jan 2024

Yunita Sari Pane, Department of Pharmacology and Therapeutics, Faculty of Medicine, Universitas Sumatera Utara, Medan, 20155, Indonesia

Dear Hadeer Akram Abdulrazzaq Al-Ani (the second reviewer)
Thank you for your comment on improving our article.
Here I respond to your comment and question.

Suggestion No. 1:
Abstract: Please delete and rephrase the sentences “Our previous study showed that”
Replied No. 1:
Delete

Question No. 2:
Methodology: The sample size - Please justify why you selected this formula. Why did you select the numbers for each parameter (for example, you chose 88 for n1 and the same for others)? Justify and support with references.
Answer No.2:
Based on Kawamori et al., 2014 (page76 Table 2 Changes in glycemic control)
BGL Fasting:
n1=92(baseline intervention group)
n2=36(baseline placebo group)
S1=25.8(Standard deviation of BGL fasting changes from baseline intervention group)
S2=15.1(Standard deviation of BGL fasting changes from the baseline placebo group)
m1=-29.2
m2=-3.4
Zα=1.64
Zβ=0.842
σ 2 == (n1- 1) S12 + (n2 - 1) S 22
(n1 + n2 - 2)
Thus, σ for BGL fasting is 20.43
Thus, n for BGL fasting is 7.7≈8 subject.
BGL 2hour PP:
n1=88(baseline intervention group)
n2=33(baseline placebo group)
S1=43.6(Standard deviation of BGL fasting changes from baseline intervention group)
S2=39.8(Standard deviation of BGL fasting changes from the baseline placebo group)
m1=-50,2
m2=-4,2
Zα= 1.64
Zβ= 0.842
σ 2 == (n1 - 1) S12 + (n2 - 1)S22
(n1 + n2 - 2)
Thus, σ for BGL 2hour PP is 42.77
Thus, n for BGL 2hour PP is 10.57≈ 11 subject.
From the results of the sample size formula calculation above, the sample size (n) for BGL fasting is a minimum of 8 subjects, while n for BGL2hour PP is a minimum of 11 subjects.
Considering the possibility of sample dropout increasing by 10% from the n obtained, it was decided to take the largest sample (11 subjects), so that the number of n used in this study for each group was 12 subjects.

Suggestion No.3:
Limitations: Please add to the limitations the accuracy of using the Family Dr® Blood Glucose Monitoring System, AGM-5135, All Medicus Co., Ltd.
Replied No. 3:
Thirdly, limitations for accuracy of using the Family Dr® Blood Glucose Monitoring System, AGM-5135, All Medicus Co., Ltd is due to the peripheral blood(end of the extremities) is used in the study where the reading might slightly be different compared to the blood taken from a vein. Unfortunately, the study was held during the pandemic thus the situation was not favorable and caused us to carry out a simple method in the study.

Question No. 4:
1. Statistical analysis: There is a significant limitation of using independent t-tests, etc., because these tests are biased, especially when measuring the overall effects of the groups. This is very clear in the statistical analysis and interpretations obtained in this study, where there was no significance in some results while significant in others. The best statistical test should be used regardless of the sample size, and normality, and others should be repeatedly measured with ANOVA and posthoc because the effect size will be clearer to the readers and give the final decision on whether chewing Betel has a significant effect. Therefore, I recommend re-analyzing the statistical tests and reformatting and re-editing the manuscript. The main reason I request this is that there is no point in your study in this figure; the readers now see that chewing Betel is significant and not significant, which one should be recommended?
Answer No. 4:
Our reason for using paired t-test, Independent sample t-test, Wilcoxon, and Mann-Whitney, is because:
1. The sample size is too small in this study and the standard deviation (SD) is too wide, especially in groups III and IV. Normally, in this case, it is a parametric statistic but the data is not homogenous, so it is not recommended to use the ANOVA test although the data in the study is parametric.
We would like to analyze the data before and after the study is conducted, as we want to observe the difference in the BGL in each group and compare it among the groups themselves.

Suggestion No. 5:
Please update your references with ones from the last five years.
Replied No. 5:
Great apologies, as we can’t change the references as those have been fundamental for my study, however I consider your suggestion by providing some latest references which are realatable to my study.
Daryanti F, Jazuli M, Florentinus TS, Hartono. Values of Character Education in the Sirih Pinang Symbol: A Cultural Value of Coastal Society. Jurnal Pendidikan Progresif. 2020; 10(2): 292-29
Musdja. Antioxidant Activity of Cathecins Isolate of Uncaria Gambier ROXB in Male Rats. LIFE: International Journal of Health and Life-Sciences. 2018; 4(2): 34-46.

Question No. 6:
In the discussion, please do not discuss confounding factors like duration of use because there are no findings in your statistical outputs about it.
Answer No. 6:
We include duration in our study because we consider it as baseline data in our study, thus it is important to be measured, but not required to be included in the statistic analysis.

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Competing Interests

No competing interests were disclosed.

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Reviewer Report

19 Views

26 Oct 2022 | for Version 3

Mustofa Mustofa, Department of Pharmacology and Therapy, Faculty of Medicine, Public Health and Nursing (FK-KMK), Universitas Gadjah Mada, Yogyakarta, Indonesia

19 Views Cite this report Responses(0)

Approved

Revisions have been conducted by the authors. Some suggestions have been followed.

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Pharmacology, drug discovery and development.

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.

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37 Views

05 Sep 2022 | for Version 2

Mustofa Mustofa, Department of Pharmacology and Therapy, Faculty of Medicine, Public Health and Nursing (FK-KMK), Universitas Gadjah Mada, Yogyakarta, Indonesia

37 Views Cite this report Responses(1)

Approved With Reservations

I found the authors have made revisions, however, the revisions are not enough appropriate. Therefore, I suggest the authors should make revisions again. English grammar and terms should be revised again. For example, "betel habits" maybe can be revised to be "chewing-betel habits". I also found some scientific terms are not appropriate. For example "gap", it is not a scientific term. Maybe "∆" (delta) is more appropriate. Conclusion could be presented based on statistical results and clinical results.

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Pharmacology, drug discovery and development.

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46 Views

12 Apr 2022 | for Version 1

Mustofa Mustofa, Department of Pharmacology and Therapy, Faculty of Medicine, Public Health and Nursing (FK-KMK), Universitas Gadjah Mada, Yogyakarta, Indonesia

46 Views Cite this report Responses(1)

Approved With Reservations

The main objective of the study was to evaluate the effect of betel habits on BGL. Therefore, analysis and discussion should be focused by comparing the results of groups III and IV. The sample size is too small in this study and the standard deviation (SD) is too wide, especially groups III and IV. Normally, in this case, a nonparametric statistic is recommended. In this study, the Anova was applied. Therefore, I recommend using nonparametric statistics with data presented in median +/- range.

5. The conclusion needs revision:

It was too early to conclude that betel habits can restrain the increase of BGL. The authors did not compare the fasting BGL between group III and group IV. The conclusion just based on the BGL 2 h PP. Moreover, the conclusion should be revised based on the new statistical analysis results.

Other:

The quality of the manuscript should be improved. For example, it is needed to present the calculation of the sample size in this manuscript. The English also should be improved.

Is the work clearly and accurately presented and does it cite the current literature?

Partly
Is the study design appropriate and is the work technically sound?

Partly
Are sufficient details of methods and analysis provided to allow replication by others?

Yes
If applicable, is the statistical analysis and its interpretation appropriate?

Partly
Are all the source data underlying the results available to ensure full reproducibility?

Partly
Are the conclusions drawn adequately supported by the results?

Partly

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Pharmacology and Ethnopharmacology.

Respond to this report

Responses (1)

Author Response

03 Aug 2022

Yunita Sari Pane, Department of Pharmacology and Therapeutics, Faculty of Medicine, Universitas Sumatera Utara, Medan, 20155, Indonesia

Thank you for reviewing and suggesting some constructive amendments to the article.

Answering the question number:

We’ve revised the article for language, grammar, and editing.
Inclusion and exclusion criteria have been presented (see page 4).
The method section has been presented in narration (see page 4).
Statistical analysis of the articles has been adjusted and the discussion has focused more on groups 3 and 4 as suggested.
The conclusion of the article has also been fixed

The conclusion of the article has been revised based on improved statistical analysis
The conclusion of the sample size calculations has been presented since the inception of the publication

Thank you for your suggestion, we had been trying to improve our ability in scientific language.

View more View less

Competing Interests

No competing interests were disclosed.

Alongside their report, reviewers assign a status to the article:

Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested

Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.

Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions

[1] Andriyani: Efek Menyirih terhadap Gigi dan Jaringan Lunak Mulut. Skripsi: Fakultas Kedokteran Gigi Universitas Sumatera Utara, 2005. Reference Source

[2] Anggraini T, Tai A, Yoshino T, et al.: Antioxidative activity and catechin content of four kinds of Uncaria gambir extracts from West Sumatra, Indonesia. Faculty of Agricultural Technology, Andalas University. West Sumatera. Afr J Biochem Res. 2011; 5(1): 33–38. Reference Source

[3] Budiharto MD: Status Kesehatan Perempuan dengan Kebiasaan Menyirih di Kabanjahe Kabupaten Karo. Skrpsi: Fakultas Keperawatan Universitas Sumatera Utara, 2018. Reference Source

[4] Daryanti F, Jazuli M, Florentinus TS, et al.: Values of Character Education in the Sirih Pinang Symbol: A Cultural Value of Coastal Society. Jurnal Pendidikan Progresif. 2020; 10(2): 292–29. Publisher Full Text

[5] Flora S, Christopher T, Mahmudur R: Betel Quid Chewing and its Risk Factors in Bangladeshi Adult. WHO South East-Asian Journal of Public Health. 2012; 1(2): 162–181. Reference Source

[6] Gupta P, Ray C: Epidemiology of Betel quid usage. Ann Acad Med Singap. 2004; 33(4 Suppl): 31–6. PubMed Abstract

[7] Kanapathy AP: Hubungan Kebiasaan Menyirih dengan Kanker Mulut pada penduduk Komunitas India di lingkungan Klang, Selangor, Malaysia. Skripsi: Fakultas Kedokteran Gigi Universitas Sumatera Utara, 2014. Reference Source

[8] Kawamori R, Kaku K, Hanafusa T, et al.: Effect of combination therapy with repaglinide and metformin hydrochloride on glycemic control in Japanese patients with type 2 diabetes mellitus. J Diabetes Investig. 2014; 5(1): 72–79. PubMed Abstract | Publisher Full Text | Free Full Text

[9] Lombu ES: Kebiasaan Menyirih dan Kesehatan Rongga Mulut Lansia di Desa Hilibadalu Kabupaten Nias. Skripsi: Fakultas Kperawatan Universitas Sumatera Utara, 2014. Reference Source

[10] Mathew TK, Tadi P: Blood Glucose Monitoring. In: StatPearls. Treasure Island (FL): StatPearls Publishing; 2021; [Updated 2021 Aug 11]. Reference Source

[11] Musdja MY, Rahman HA, Hasan D: Antioxidant Activity of Cathecins Isolate of Uncaria Gambier ROXB in male Rats. Life: Int J Health Life Sci. 2018; 4(2): 34–46. Publisher Full Text

[12] Pane YS, Ganie RA, Lindarto D, et al.: The effect of gambier extract on the levels of malondialdehyde, superoxide dismutase, and blood glucose type 2 diabetes mellitus patients. Asian J Pharm Clin Res. 2018; 11(10): 121–124. Publisher Full Text

[13] Pane YS, Machrina Y, Arrasyid NK, et al.: The Effect of Betel Habits on Blood Glucose Levels in Karo ethnic community in Karo District. figshare. Dataset, 2022. http://www.doi.org/10.6084/m9.figshare.17871911.v1

[14] Perangin-Angin SA: Tokoh Adat Dari Marga Perangin-angin. 2017.

[15] Samarghandian S, Azimi-Nezhad M, Farkhondeh T: Catechin treatment ameliorates diabetes and its complications in streptozotocin-induced diabetic rats. Dose Response. 2017; 15(1): 1559325817691158. PubMed Abstract | Publisher Full Text | Free Full Text

[16] Sinuhaji LN: Perilaku menyirih dan dampaknya terhadap kesehatan yang dirasakan wanita karo di Desa Sempajaya Kecamatan Berastagi Kabupaten Karo. Skripsi: Fakultas Kesehatan Masyarakat Universitas Sumatera Utara, 2010. Reference Source

[17] Sugiyama S: [Pharmacological action of gambir]. Yakushigaku Zasshi. 2005; 40(1): 29–33. PubMed Abstract

[18] Umeno A, Horie M, Murotomi K, et al.: Antioxidative and antidiabetic effects of natural polyphenols and isoflavones. Molecules. 2016; 21(6): 708. PubMed Abstract | Publisher Full Text | Free Full Text

[19] WHO: Body mass index (BMI). 2021. Reference Source

The effect of chewing-betel habits on blood glucose levels in the Karo ethnic community, Karo district

Abstract

Background

Methods

Results

Conclusion

Keywords

Revised Amendments from Version 3

Introduction

Methods

Ethical considerations

Participants

Data collection

Procedure of taking blood for measuring Blood Glucose Levels

Statistical analysis

Results

Table 1. Distribution of respondents based on the chewing-betel habit of the Batak-Karo tribe in Karo District.

Table 2. Blood glucose levels (BGL) after fasting and 2 hours postprandial (2hPP).

Table 3. Descriptive data of Blood Glucose Levels fasting and 2 hours postprandial between group-I, group-II, group-III, and group-IV.

Discussion

Table 4. The comparison of Blood Glucose Levels (BGL) fasting between group-I vs. group-II, and group-III vs. group-IV.

Table 5. The comparison of Blood Glucose Levels (BGL) 2hPP between group-I vs. group-II, and group-III vs. group-IV.

Conclusion

Data availability

Underlying data

Extended data

Acknowledgments

References

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