Keywords
dietary intake, environmental intervention, female student, nutrition, nutritional knowledge
The Environmental Nutrition Program (ENP) as an environmental intervention offers voluntary involvement with students, but persists in exposure. This study aimed to investigate the effect of ENP on students’ dietary intake and nutritional knowledge.
A quasi-experimental study was conducted with a control school. ENP comprises four activities: the use of uniform food serving tools, nutrition fact displays, food and nutrition information displays, and body weighing awareness. The ENP emphasized voluntary involvement with students but persisted in exposure for over 8-weeks. Multiple passes of 24-hour food recall and validated questionnaires were used in the assessments by a nutritionist. Multiple linear regressions were performed to analyze the effectiveness of ENP.
A total of 113 female high school students, with a median age of 16 years, were recruited. At baseline, all students had a lower dietary intake than the national recommendation. Except for the stipend, no differences in the characteristics were found among the students. The students’ carbohydrate intake and nutritional knowledge significantly increased after the ENP in the intervention school (p < 0.001). Total energy, protein, and fat intake also improved after ENP.
ENP activities effectively increased students’ daily carbohydrate intake and nutritional knowledge. Thus, ENP may be appropriate for enhancing nutrition literacy among female students. Future studies with a longer time frame are encouraged to yield sustained, favorable dietary practices.
dietary intake, environmental intervention, female student, nutrition, nutritional knowledge
Female adolescents are also more susceptible to nutritional problems.1 Overweight girls are more likely to be overweight or obese when they enter adulthood.2 Like their counterparts, girls who suffer from undernourishment are at a higher risk of continuing to become undernourished as adults. During pregnancy, undernourished adults tend to give birth to babies with low birth weights, creating a cycle.1
Globally, overweight girls are more prevalent in American countries, reaching 21% in 10.9% of obese girls. Meanwhile, underweight girls are more prevalent in Southeast Asian countries, reaching 10.4%.3 In Indonesia, the percentage of girls who were overweight reached 15.9%, including 4.5% of obese girls. For underweight girls, it was around 4.3% and was improved by an increase in overweight girls.4
Studies have shown that female adolescents are more attentive to health than male adolescents. However, girls are also more likely to be overweight or obese.5 Female students seemed to find basic nutrition more comprehensible.6 They attempted healthier lifestyles but consumed less nutrients and more fat than male students.5,7 Girls communicated their preferences for having snacks or light meals with friends after school rather than having dinner with their family. Preferable snacks tend to be sugary and greasy. Therefore, a nutrition initiative targeting female students was suggested to promote and assist them in adopting a proper diet.8,9
There was a significant improvement in girls’ weight status and waist circumference after implementing a school-based nutrition education program.10 The findings of this study also explain the improved nutritional behaviors, self-efficacy, and other psychological aspects of the student. In addition, with the provision of iron tablets, adolescent girls seem to adhere to iron tablets.11 However, the implementation of these nutrition programs in Indonesian schools has been hindered by limited resources.12 According to the teachers’ self-efficacy, experts in health were needed related to competing priorities to teach and communicate balanced nutrition. Food environment is also a concern.
For these reasons, it is recommended that a school-based nutrition program be started in a boarding school. The presence of school doctors or nurses in Indonesian boarding schools was considered an advantage for students to access health during their study. In addition, a closed and facilitated environment enabled them to practice a favorable lifestyle. For example, a program reduced anemia prevalence and changed students’ dietary behavior by providing nutrition education and balanced lunches alongside existing meals from school.13 However, there is still a lack of research on nutrition among boarding school students in Indonesia, making this a topic that requires further discussion. The present study offers an alternative environmental approach to the exploration of less burdened nutrition programs applicable to boarding schools with stricter schedules and rules. Consequently, this study aimed to investigate the effectiveness of a program called the Environmental Nutrition Program (ENP) on students’ dietary intake as well as nutritional knowledge.
A quasi-experimental study was applied in this study and two boarding high schools were purposely selected, one as an intervention school and one as a control school. The study was conducted during the mobility restriction of COVID-19 measures, where schools were conducted online and only several boarding schools were allowed to have onsite learning with conditions set by the government. Therefore, this study proposes criteria for onsite learning with 100% students present at school and staying at school dorms as the main purpose for school selection. Later, the school’s willingness to participate throughout the study period as an intervention or control school was communicated. The entire ENP study was conducted over 12 weeks, from January to April 2022.
Boarding high school inclusion criteria included having 100% face-to-face learning during COVID-19 measures, operating a full-service kitchen, providing three meals a day food, and willingness to participate throughout the study period as intervention and control schools. Participant recruitment was performed at the school level with inclusion criteria, for example, female student, grade 10 to 11, willing to participate, and acquired parent’s consent. Female students with dietary restrictions, serious physical conditions, or who failed to complete the measurements were excluded from the analysis. This study used a sample size calculation that compared two means based on 12.6 grams protein intake change parameter from a previous study.14 It advised an estimation of the minimum required sample of 50 students for each school, or a total of 100 students from both schools. Anticipating the lost-to-follow up, this study proposed a 20% additional sample, or a total of 120 students from both schools.
Anthropometric
The body weight and height of the participants were measured using a Tanita BC-541 weight scale (Tanita Corporation, Japan) and Seca 206 measuring tape (SECA, Germany), respectively. Body Mass Index (BMI) was assessed according to the WHO Reference 2007 criteria,15 and the value was generated using the WHO AnthroPlus software.16 Students whose z-scores were -2 SD to 1 SD were categorized as normal weight, > 1 SD as overweight, > 2 SD as obese, and less than -2 SD as underweight. For the statistical analysis, the exact z-score was used.30
Dietary intake and nutrient adequacy ratio (NAR)
Dietary intake data were collected through a multiple-pass 24-hour dietary recall by nutritionists.30 Participants were also equipped with food image aids that comprised most of the school food to ease food portion estimation based on the Ministry of Health (ID).17 Total energy and nutrient intake (protein, fat, and carbohydrate) were then calculated based on the Indonesian food composition table.18 NAR was calculated by comparing the daily nutrient intake and its average Recommended Dietary Allowance (RDA) for females and individuals’ ages as follows:
Nutritional knowledge
Data on nutritional knowledge before and after ENP were obtained using a researcher-developed questionnaire following the Indonesian food-based dietary guidelines.19 It consisted of topics on nutrient sources (12 items), food groups (17 items), dietary recommendations (11 items), and diet-disease relationships (5 items). The inter-objective Congruence (IOC) of three experts and pilot testing of 30 non-participating students were performed to validate the questionnaire. Forty-five questions with dichotomous answers (correct/incorrect) were constructed after reaching an acceptable of validity test (Kuder Richardson:KR-20) value of 0.7.30,31
Sociodemographic and physical activity
Data were collected using a self-reported questionnaire asking for date of birth (to calculate age in years and months), monthly stipend (Indonesian Rupiah/IDR), major (science/social), and ethnicity (open-ended questions grouped into betawinese/Javanese/Sundanese/other after distribution). Physical activity of the students was assessed using The Physical Activity Questionnaire for Adolescents (PAQ-A).20 The validity of the questionnaire was determined in a previous study by applying forward translation from English to Bahasa.21 The experts in the translation process comprised a public health professor, nutritionist, and high school English teacher. After pilot testing 30 high school students, the PAQ-A in Bahasa reached a Cronbach’s α value of 0.76. All the measurements in this study were performed by certified nutritionists.30,31
The ENP harnessed the support of the school environment for students in a boarding high school to maintain a balanced diet.22 ENP activities included (1) the use of uniform food serving tools, (2) nutrition fact displays of the menu provided by the school (Nutrifact), (3) food and nutrition information display (Nutrinfo), and (4) body weight awareness (BWA) on the importance of weight control and how to calculate body mass index (BMI) for female adolescents. The implementation of ENP ran over 8 weeks in the intervention school, with an additional 2 weeks for each measurement at baseline and post ENP. In total, the ENP group took 12 weeks of study.
For the first activity, or the use of uniform food-serving tools, students were expected to be familiarized with food partitioning. Food provided by the school usually comprises rice as a staple food and a side dish. Two kinds of spoons, rice spoon and soup ladle, were used during the study. When the side dish was a composite menu, a soup ladle was used to portion the food. Otherwise, the food pieces were used. Menu at school was provided in a seven-day cycle for three meals per day. Each school menu item was translated into energy (kcal), protein (g), fat (g), and carbohydrate (g). We call this Nutrifact. It was displayed beside the food table at the dining hall in accordance with the menu cycle daily. Nutrinfo covers topics related to nutrients and sources, dietary recommendations, food groups, and diet-related diseases. Nutrinfo was posted over two weeks for each topic in the form of a one square meter banners and multiple-A4 size posters. The banners were posted on the wall at two strategic locations: (1) the wall of the Dining Hall, where students would have to face it as they waited in line for their meals, and (2) the wall of a small shop where they usually buy a snack. The posters were displayed in an acrylic display case on a dining room table where the participating students sat. Finally, the BWA was provided in the form of a booklet for every participant and completed with one interactive session emphasizing the BMI calculation of female adolescents. During ENP implementation, close communication was conducted with school principals, school nurses, and health advisors.
For the control school, there was no activity for students during ENP implementation. However, all the materials were then given to the school after the ENP program was completed in the intervention school.
Linear regressions were performed to assess the effectiveness of ENP, with coefficient values indicating a change in the outcome variable over time in the intervention group compared to the control group. Stipend and dietary intake differed at baseline and were included in the regression model as covariates. Inter-group comparability was tested using the chi-square test, Mann-Whitney U test, or independent t-test, whereas intra-group comparability was tested using the Wilcoxon or paired t-test based on the type and distribution of the data. All statistical analyses were performed using SPSS version 29.0 (Chulalongkorn University License). This study set a significance level of 95% CI (p < 0.05).
The study protocol followed and was performed in accordance with the principles of the Declaration of Helsinki. The protocol has been approved by The Research Ethics Review Committee Chulalongkorn University, Thailand (IRB No. 245/2021, approved on December 14, 2021) and the Health Research Ethics Committee of Fakultas Kesehatan Masyarakat Universitas Muhammadiyah Jakarta, Indonesia (IRB No: 10.353. B/KEPK-FKMUMJ/XI/2021, approved on November 16, 2021). Written informed consent and assent were obtained from all the parents, guardians, and participants.
Over two weeks, in January 2022, initial meetings were held in both schools for participant recruitment, followed by baseline measurements. Study protocols, activities, and inclusion criteria were explained to all students at the meeting. Students who were interested in joining were asked to obtain their parents’ informed consent by the time the baseline measurement took place. The measurement comprised anthropometric measurement, 24 hours food recall, and a self-registered questionnaire on nutritional knowledge and sociodemographic information. All data collection was conducted onsite or at school. Therefore, with the challenging COVID-19 measure in both boarding schools, only 119 of 177 eligible students completed baseline measurements. Eventually, a total of 113 students completed baseline and post ENP measurements, or approximately 95% retention rate (Figure 1).
Table 1 presents the general characteristics of the participants. The median age of the students was 16 (IQR: 1) years, ranging from 14 to 18 years. The students from both schools shared the same characteristics. The only exception was the monthly allowance, where students from the intervention school provided a higher stipend than their counterparts (p-value = 0.008).
Characteristic | Total (N=113) | Intervention (n=57) | Control (n=56) | p |
---|---|---|---|---|
n (%) | n (%) | n (%) | ||
Major | ||||
Science | 86 (76.1) | 47 (82.5) | 39 (69.6) | 0.11a |
Social | 27 (23.9) | 10 (17.5) | 17 (30.4) | |
Ethnicity | ||||
Betawinese | 31 (27.4) | 18 (31.6) | 13 (23.2) | 0.48a |
Javanese | 29 (25.7) | 14 (24.6) | 15 (26.8) | |
Sundanese | 27 (23.9) | 15 (26.3) | 12 (21.4) | |
Others | 26 (23.0) | 10 (17.5) | 16 (28.6) | |
Body Mass Index†| ||||
Underweight | 1 (0.9) | 0 (0.0) | 1 (1.8) | |
Normal (-2SD ≤ z-score ≤ 1SD) | 80 (70.8) | 41 (71.9) | 39 (69.6) | |
Overweight (1SD < z-score ≤ 2SD) | 23 (20.4) | 10 (17.5) | 13 (23.2) | |
Obese (z-score > 2SD) | 9 (8.0) | 6 (10.5) | 3 (5.4) |
Characteristics | Median (IQR) | Median (IQR) | Median (IQR) | |
---|---|---|---|---|
Age, year | 16 (1) | 16 (1) | 15 (1) | 0.14b |
Stipend, IDR thousand | 400 (200) | 400 (150) | 325 (200) | 0.008b |
Characteristics | Mean (SD) | Mean (SD) | Mean (SD) | |
---|---|---|---|---|
Body Mass Index, z-score | 0.46 (0.98) | 0.47 (1.00) | 0.44 (0.96) | 0.60c |
Physical activity, score | 2.17 (0.49) | 2.10 (0.43) | 2.23 (0.55) | 0.19c |
At baseline, students’ nutritional knowledge did not differ between schools (p-value = 0.48, Figure 2). The knowledge score were 71.6 and 70.9 in the intervention and control school respectively. Post ENP measurements recorded a significant increase in the nutritional knowledge of the students in the intervention school compared to baseline (diff = +6.45, p-value < 0.001). The knowledge was also higher compared to those in the control group after the ENP (p-value < 0.001).
Regarding dietary intake, students in the control school consumed more calories, proteins, and carbohydrates than students in the intervention school at baseline (p-value < 0.001, Table 2). There was no difference in students’ fat intake between schools at baseline (p-value = 0.183). After ENP, the carbohydrate intake of students in the intervention school increased compared to baseline measurements (diff = +33.2, p-value = 0.001).
Nutrient intake, mean (95% CI) | p | ||
---|---|---|---|
Intervention (n=57) | Control (n=56) | ||
Total energy, kcal | |||
 Baseline | 1210 (1088; 1331) | 1545 (1444; 1645) | < 0.001a |
 Post ENP | 1320 (1205; 1434) | 1427 (1292; 1563) | 0.26b |
 different | +110 | -117 | |
 p | 0.09†| 0.09†| |
Protein, gram | |||
 Baseline | 39.5 (35.1; 43.9) | 50.7 (46.2; 55.1) | < 0.001a |
 Post ENP | 40.9 (36.1; 45.7) | 49.4 (44.5; 54.3) | 0.014a |
 different | +1.4 | -1.3 | |
 p | 0.59†| 0.85†| |
Fat, gram | |||
 Baseline | 51.8 (45.6; 58.0) | 55.2 (50.3; 60.1) | 0.18b |
 Post ENP | 50.1 (44.5; 55.7) | 53.5 (47.7; 59.3) | 0.30b |
 different | -1.7 | -1.6 | |
 p | 0.90†| 0.69‡ | |
Carbohydrate, gram | |||
 Baseline | 145.0 (130.3; 159.7) | 200.5 (186.8; 214.1) | < 0.001a |
 Post ENP | 178.2 (162.8; 193.6) | 184.4 (161.9; 206.9) | 0.96b |
 different | +33.2 | -16.1 | |
 p | 0.001†| 0.20‡ |
On average, neither student in the intervention nor control school had adequate nutrient intake at baseline and after ENP (Figure 3). Indonesian RDA for high school aged female adolescents was 2050/2100 kcal of total energy intake, 65.0 grams of protein intake, 70.0 grams of fat intake, and 300.0 grams of carbohydrate intake per day.23 However, the carbohydrate adequacy ratio of the students in the intervention school significantly increased after ENP (diff = +11.02, p-value = 0.001). Further analysis revealed that the protein adequacy ratio of students in the intervention school was positively correlated with their nutritional knowledge change after ENP (rs = 0.296, p-value = 0.025, data not shown).
A combination of the four activities in the ENP yielded a significant increase in students’ nutritional knowledge based on the regression model in Table 3 (β = 4.78, p = 0.023). The activities seemed to lower the total energy, protein, and fat intake and seemed to increase the carbohydrate intake of the students. Both trends of ENP toward students’ nutrient intake and nutrient adequacy ratio were not statistically significant (p > 0.05).
Our study assessed an applicable alternative to support a healthy diet among female students in boarding school settings. The environmental approach and communication methods in the study outweighed the time constraints of boarding schools to inform students about health.
This study had several main findings. First, ENP activities increased the students’ nutritional knowledge. Furthermore, students in the intervention group showed an improvement in their daily carbohydrate intake after ENP. Considering the change in the control group and the covariates, ENP was found to be effective at enhancing students’ nutritional knowledge and improving balanced nutrient intake within an 8-week period, despite the insignificant statistics for intake.
The finding of increased nutritional knowledge was consistent with those of previous studies.13,24 Despite the argument regarding the number or duration of education sessions, an increase in nutritional knowledge in the present study remained effective after eight weeks. The provision of Nutrinfo immediately in front of the food queue lane at the dining hall stood out by its design and size. This allowed the student to notice the infographics at least three times a day during mealtime. Four topics were also delivered in sequence, ensuring the students’ emphasis. In addition, Nutrinfo was available on the dining table where the participating students were seated and on the wall of the tuck shop at school. With persistent but voluntary exposure, Nutrinfo enriched the discussion on communication methods for a limited health education session program.25
A nutrifact display was meant to tell the students about the amount of nutrients in each school food that they consumed. Pairing the use of uniform serving tools with Nutrifact was expected to familiarize students with estimating their daily intake. The findings of this study show that carbohydrate intake as well as the NAR of carbohydrate in students significantly increased post ENP. The intake of total energy, protein, and fat improved, but was not statistically significant. Lack of food might be the reason behind this finding, as students in this intervention school could have staple food as much as they wanted during each mealtime.7 Students in the intervention school expressed that the side dish would run out later than most of the students. Some of them would eat staple food with little leftover soup, or they would just skip the meal. Those who tried to substitute the food shortage seemed to choose carbohydrate-rich foods, such as instant noodles, sweet bun, chicken noodle soup, or snacks.26 In fact, they lacked not only carbohydrates but also proteins and some amount of fat. Unlike previous studies of normal and overweight students, the present study considered an increase in dietary intake as an improvement because participants’ intakes were much lower than the national RDA, to begin with.10,14 An exception was regarding fat intake, which, on average, was about to reach the RDA at baseline; therefore, precaution to control fat intake was conveyed. On the other hand, protein adequacy tended to positively correlate with the change in nutritional knowledge post ENP. This was explained by the increase in correct answers in the nutritional knowledge assessment of the protein portion of a meal and protein sources. A previous study discussed otherwise, in which knowledge of protein sources remained low after the intervention.13 With unchanged knowledge, however, the study managed to improve the practice of consuming protein sources and led to better protein intake from the provided lunch.
With regard to intake in the control school, we observed a decrease in student intake, even though there were no specific events or significant menu changes during the study period. The declining trend was not significant. Even so, a plausible cause might be underreporting. This could be triggered by the awareness of what was being interviewed during the 24-hour food recall regarding the amount or type of food, how the food was processed, the situation during the interview, or a biased recall that is common in any dietary assessment.27
After eight weeks of exposure to all ENP activities, trends of improvement in nutritional knowledge, daily carbohydrate intake, and NAR of carbohydrate of the students remained after including changes in control school and the covariates in the model (Table 3). Nevertheless, only a significant increase in nutritional knowledge persisted after adjustment. A study supported our finding that although nutritional knowledge among intervened students was found to increase after nutrition education, it did not significantly improve students’ dietary practices.28 Ariyo et al.29 found that after five weeks of nutrition education with emotion-based messages, participants’ calcium intake did not change, although their source of calcium was multiplied. Conflicting findings have been reported in previous studies. School-based programs have resulted in improved fruit and vegetable intake, iron tablet consumption, and physical activity after 15-month of nutrition education using a multicomponent approach.11 Similar findings were discussed in a study conducted by Rimbawan et al.13 The study provided nutrition education along with balanced lunch over 9 months. Subsequently, an increase in students’ knowledge and protein intake was observed. When applying an environmental nutrition that aims to maintain communal retention, some period of time is necessary to sustain good dietary behavior.22
Despite these valuable findings, the present study had some limitations. The short period of ENP was assumed to be one. Another limitation was related to students’ dietary measurements. Like other dietary measurements, 24-hours food recall demands the respondents’ memory of what and how much food they ate. However, trained personnel in this study performed the multiple pass principle to record the participants’ diets as much as possible.
With a subtle trend in dietary intake, which has been suggested in this study, a longer implementation of ENP may yield better dietary intake for students. Future studies should consider material adaptation when implementing ENP among non-boarders.
ENP activities were effective in increasing students’ nutritional knowledge and daily carbohydrate intake. ENP also improved the students’ intake of total energy, protein, and fat. As an environmental approach, ENP emphasizes voluntary involvement with students but persists in exposure. Considering school readiness to apply for a comprehensive school-based nutrition program in a boarding school, ENP may be appropriate for enhancing basic nutrition literacy among female students.
Conceptualization: all authors; data curation: SA; Formal analysis: all authors; funding acquisition: all authors; Investigation: SA; Methodology: all authors; project administration: SA; Resources: SA; Supervision: NT; Validation: SA; Visualization: SA; Writing–original draft: all authors; writing–review & editing: all authors.
Figshare: Effectiveness of environmental nutrition program on student dietary intake in boarding schools. https://doi.org/10.6084/m9.figshare.27088156.v2. 30
The project contains the following underlying data:
The data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
Figshare: Effectiveness of environmental nutrition program on student dietary intake in boarding schools - Questionnaire. https://doi.org/10.6084/m9.figshare.27088315.v1. 31
The project contains the following extended data:
The data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
Views | Downloads | |
---|---|---|
F1000Research | - | - |
PubMed Central
Data from PMC are received and updated monthly.
|
- | - |
Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list:
Sign up for content alerts and receive a weekly or monthly email with all newly published articles
Already registered? Sign in
The email address should be the one you originally registered with F1000.
You registered with F1000 via Google, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Google account password, please click here.
You registered with F1000 via Facebook, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Facebook account password, please click here.
If your email address is registered with us, we will email you instructions to reset your password.
If you think you should have received this email but it has not arrived, please check your spam filters and/or contact for further assistance.
Comments on this article Comments (0)