# Body Mass Index and Associated Factors of School Absenteeism by School Feeding Program at Selected Primary Schools in Addis Ababa, Ethiopia: A Comparative Study

Authors: Solomon Muluken Ayehu; Addisu Tadesse Sahile
Journal: Scientifica
 (2021)

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## Abstract

Background. Quality of education plays a crucial role in the social, economic, and political development of a nation. Primary school is a vital stage in developing the personality and consciousness of school children. Objective. The study assessed the Body Mass Index and factors associated with School Absenteeism at selected primary schools in Addis Ababa, 2018. Methods. A comparative cross-sectional study was undertaken on 324 (162 each group) from selected primary schools of Addis Ababa from May 02 to July 30, 2018. All participants and their families provided written informed consent and assent. A systematic random sampling technique was used to select participants, where the list of students was once identified from the selected schools. An independent t-test was undertaken at p value <0.05 as the statistically significant level. And, binary logistics regression was used for the identification of factors statistically associated with school absenteeism, with its respective 95% confidence interval (CI) and p value of <0.05 significant level. Findings. There was a statistically significant difference between feeding and nonfeeding participants on average weight, school absenteeism, and BMI for age, at p<0.05. Participants who enrolled in the school feeding program had a higher average weight than nonfeeding participants (p<0.05). Participants from the feeding group had lower average school absenteeism than their counter participants (p<0.05). The average BMI for age was significantly higher among feeding participants than nonfeeding participants (p<0.05). The odds of having school absenteeism were 1.796 times higher among feeding participants than among nonfeeding participants (AOR: 1.796; 95CI:1.061–3.042, p<0.05). The odds of sustaining absenteeism from the school were 2.257 times higher among feeding participants than among nonfeeding participants (AOR: 2.257; 95%CI: 1.291–3.948; p<0.05). Conclusion. A higher number of school absenteeism, average weight, and BMI for age were observed in participants enrolled in the school feeding program than those who did not get enrolled in the feeding program. Large-scale studies were recommended to testify the impacts of school feeding on absenteeism.


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## Body

## 1. Introduction

Quality of education plays a crucial role in the social, economic, and political development of a nation. Although progress was made, with a norm that education for all as part of Millennium Development Goals (MDG), about 58 million school-age children were out of school globally [1]. Assuring children acquiring basic knowledge and skills for their wellbeing could be the key responsibilities of all the governing bodies [2].Malnutrition preceded by the inappropriate eating practice impacted adolescents' academic performance [3]. Though nutrition has a vital role in the development of humans including the brain throughout life [4], nutritional problems affect the ability of children to learn [5]. A balanced diet is more importantly advocated for productivity, cognitive wellbeing, endurance, and growth physically [6]. In sub-Saharan Africa, 25% of children sustained impaired mental development following malnutrition [7] and school children were at an increased risk of dropout and repetition of grades due to malnutrition [8].Despite the higher burden of malnutrition among school children [9–12], where stunting affects up to 49% of children in Ethiopia and where underweight accounted of 59% [13], the coverage of school feeding program was low.Although the school feeding program was introduced with the aim of increasing school attendance, enrollment, and retention, the coverage was low [14]. However, the impact of school feeding was not always positive on nutritional status; a corpus of evidence reported the presence of a positive link between school feeding and nutritional status [15–17]. Literature also reported the positive impact of the school feeding program on school attendance. Though school absenteeism was seen as a complex problem with multifactorial origin [18], the presence of a school feeding program reduces school absenteeism [15, 19–21].To the best of the researcher’s knowledge, the role of the school feeding programs on nutritional status and absenteeism was not well investigated in Addis Ababa. Therefore, this study assessed the BMI and school absenteeism within feeding versus nonfeeding groups in the study settings.


## 2. Methods

### 2.1. Participants and Study Design

The study received ethics approval from Sante Medical College, Research review and Ethics Committee, and was undertaken in selected primary schools of Addis Ababa from May 02 to July 30, 2018. All participants and their families provided written informed consent and assent. An institutional-based cross-sectional study was conducted at selected primary schools in Yeka subcity. The source population was primary school students in Yeka subcity. The study population was students at the selected primary schools. The selected schools were Kokebe Tsebah, Yewotatoch Genet, and Yeka Misrak Chora Primary Schools. A systematic random sampling technique was used to select participants, where the list of students was once identified. The sample size was determined with Epi-Data, based on double population formula presented asn = Zα/2+Zβ2∗p11−p1+pp21−p2/p1−p22, where Zα/2 is the critical value of the Normal distribution at α/2 (for a confidence level of 95%, α is 0.05 and the critical value is 1.96), Zβ is the critical value of the normal distribution at β (for a power of 80%, β is 0.2 and the critical value is 0.84) and p1 and p2 are the expected sample proportions of the two groups. And finally, the sample size became 294, considering the 10% nonresponse rate; the final result was 324 for the two groups, with 162 for each group. Data were collected with a structured and pretested interviewer-administered questionnaire with an anthropometric measurement. A pretest was undertaken in Ewuket Fana Primary School on 5% of the sample size. The dependent variables were BMI and school absenteeism.


### 2.2. Operational Definitions

School absenteeism is any absence from school due to reasons other than the formal school closure days (due to either national holidays or religious days for which the school is closed). Interventional group: students who were included in the school feeding program from selected primary schools. Noninterventional group: students who were not part of the school feeding program but found in selected primary schools. WHZ: a child who had WHZ < −2 SD was categorized as low weight-for-height which implies undernutrition, and those who had WHZ > 2SD were regarded as overweight. WAZ: a child who had WAZ < −2 SD was categorized as low weight-for-age which implies undernutrition, and those who had WAZ > 2SD were regarded as high weight-for-age, overnutrition.


### 2.3. Statistical Analysis

After checked for completeness, the collected data were entered into Epi-Data 7 and then exported to SPSS 22 statistical software for further analysis. Descriptive statistics such as mean, percentages, standard deviation, and ranges were done. Comparisons on BMI and school absenteeism were performed with an independent Student’st-test, where a p value of less than 0.05 was a measure of statistically significant difference between the two groups. For the identification of factors statistically associated with school absenteeism, binary (bivariable and multivariable) logistics regression was applied, where fitness for the model was checked by the Hosmer–Lemeshow goodness of fit model. A 95% confidence interval and a p value of less than 0.05 were used as statistically significant levels.


## 2.1. Participants and Study Design

The study received ethics approval from Sante Medical College, Research review and Ethics Committee, and was undertaken in selected primary schools of Addis Ababa from May 02 to July 30, 2018. All participants and their families provided written informed consent and assent. An institutional-based cross-sectional study was conducted at selected primary schools in Yeka subcity. The source population was primary school students in Yeka subcity. The study population was students at the selected primary schools. The selected schools were Kokebe Tsebah, Yewotatoch Genet, and Yeka Misrak Chora Primary Schools. A systematic random sampling technique was used to select participants, where the list of students was once identified. The sample size was determined with Epi-Data, based on double population formula presented asn = Zα/2+Zβ2∗p11−p1+pp21−p2/p1−p22, where Zα/2 is the critical value of the Normal distribution at α/2 (for a confidence level of 95%, α is 0.05 and the critical value is 1.96), Zβ is the critical value of the normal distribution at β (for a power of 80%, β is 0.2 and the critical value is 0.84) and p1 and p2 are the expected sample proportions of the two groups. And finally, the sample size became 294, considering the 10% nonresponse rate; the final result was 324 for the two groups, with 162 for each group. Data were collected with a structured and pretested interviewer-administered questionnaire with an anthropometric measurement. A pretest was undertaken in Ewuket Fana Primary School on 5% of the sample size. The dependent variables were BMI and school absenteeism.


## 2.2. Operational Definitions

School absenteeism is any absence from school due to reasons other than the formal school closure days (due to either national holidays or religious days for which the school is closed). Interventional group: students who were included in the school feeding program from selected primary schools. Noninterventional group: students who were not part of the school feeding program but found in selected primary schools. WHZ: a child who had WHZ < −2 SD was categorized as low weight-for-height which implies undernutrition, and those who had WHZ > 2SD were regarded as overweight. WAZ: a child who had WAZ < −2 SD was categorized as low weight-for-age which implies undernutrition, and those who had WAZ > 2SD were regarded as high weight-for-age, overnutrition.


## 2.3. Statistical Analysis

After checked for completeness, the collected data were entered into Epi-Data 7 and then exported to SPSS 22 statistical software for further analysis. Descriptive statistics such as mean, percentages, standard deviation, and ranges were done. Comparisons on BMI and school absenteeism were performed with an independent Student’st-test, where a p value of less than 0.05 was a measure of statistically significant difference between the two groups. For the identification of factors statistically associated with school absenteeism, binary (bivariable and multivariable) logistics regression was applied, where fitness for the model was checked by the Hosmer–Lemeshow goodness of fit model. A 95% confidence interval and a p value of less than 0.05 were used as statistically significant levels.


## 3. Results

### 3.1. Sociodemographic Characteristics

A total of 324 participants aged 6–12 years old were enrolled from 3 selected primary schools. Of these, 162 were from the interventional group whereas 162 were from the control group and the response rate was 100%. Most (60%) of the feeding and more than half (54%) of the nonfeeding participants were male participants, while most (73%) of feeding and 78% of nonfeeding participants reported their father’s presence within a family. The majority (92% and 91%) of the feeding and nonfeeding participants reported that they lived with their mothers, respectively. Physical measurements of participants depicted that 30% of feeding participants had a weight measurement of 30–34 KG, whereas 33% of the nonfeeding participants had a weight measurement of 25–29 kg (Table1).Table 1
Sociodemographic characteristics of participants at selected primary schools in Yeka subcity, Addis Ababa, Ethiopia, August 2018 (n = 162 for each).
CharacteristicsCategoriesFeedingNonfeedingNumber%Number%SexMale96608854Female66407446Age in years7161112781491610922142515102514231411372241251248304528GradeGrade 127172717Grade 220122214Grade 324152616Grade 431192918Grade 530192415Grade 621132817Grade 79563Father presenceYes1197312678No43273622Mother presenceYes1499214791No128159ReligionOrthodox1378514891Muslim171085Protestant8564Birth orderFirst63396238Middle74465936Last25154126Weight of participants in kg15–19106.1795.5520–244225.924225.9225–293622.225332.7130–344930.244729.0135 and above2515.43116.79Height in cm<1202112.96138.02120–1293219.752314.19130–1394930.245433.33140–1494427.165332.71≥150169.871911.72Most 70 % of the feeding and 77 % of the nonfeeding participants were absent from school due to illness, whereas only 14 % of feeding and 7 % of nonfeeding participants were absent from the school due to working for money and food (Table2).Table 2
School absenteeism and reasons for school absenteeism at selected primary schools in Yeka subcity, Addis Ababa, Ethiopia, August 2018 (n = 162).
CharacteristicsOptionsFeedingNonfeedingNumber%Number%School absenteeism due to illnessYes1137012577No49303723School absenteeism due to working for money and foodYes2314117No1398615193School absenteeism due to helping family by workYes15985No1479115495School absenteeism due to hungerYes5321No1579716099School absenteeism due to lack of interest to go to schoolYes6411No1569616199School absenteeism due to other reasonsYes10664No1529415696


### 3.2. Body Mass Index Measurements

Most of the participants from both feeding and nonfeeding groups were found within the normal range of height-for-age measurements. Concerning BMI, most 98% of feeding and 90 % of nonfeeding participants were found within the normal range (between 2SD and 2 SD) (Table3).Table 3
Nutritional status of participants at selected primary schools in Yeka subcity, Addis Ababa, Ethiopia, August 2018 (n = 162 for each).
CharacteristicsFeeding statusFeedingNonfeedingNumber%Number%Height for age<−2 SD31.8510.617−2 to 2 SD15495.0615495.06>2 SD53.1074.32BMI for age<−2 SD00116.79−2 to 2 SD15998.114690.12>2 SD31.8553.10


### 3.3. Comparison of Feeding versus Nonfeeding (t-Test Findings)

There was a statistically significant difference between feeding and nonfeeding groups concerning weight, the number of absent days from school, and BMI for age atp<0.05.Participants of the feeding groups had a higher average weight of 28.46 ± 6.554 as compared with the average weight of the nonfeeding groups, 27.00 + 4.81 (mean and standard deviation). Participants of feeding groups had a less (2.23 ± 2.420, mean, SD) average school absent days, as compared with the nonfeeding groups (3.96 ± 3.326, mean, SD) atp<0.05 (Table 4).Table 4
Nutritional status and school absenteeism of participants at selected primary schools, Addis Ababa, Ethiopia, August 2018 (n = 162 for each).
CharacteristicsFeeding statusFeedingNonfeeding(n = 162)(n = 162)WeightMean ± SD28.46 ± 6.55427.00 ± 4.81∗HeightMean ± SD1.35 ± 0.111.37 ± 0.11BMIMean ± SD15.55 ± 2.3114.39 ± 2.07∗Number of absent days from schoolMean ± SD2.23 ± 2.4203.96 ± 3.326∗Last semester average markMean ± SD73.8746 ± 11.7873.53 ± 12.61Height for ageZ (mean ± SD)2.01 ± 0.222.03 ± 0.22BMI for ageZ (mean ± SD)2.02 ± 0.131.96 ± 0.31∗


### 3.4. Factors Associated with School Absenteeism

The odds of having had school absenteeism were 1.796 times higher among feeding participants than nonfeeding participants (AOR: 1.796; 95CI:1.061–3.042,p<0.05). The odds of sustaining absenteeism from the school were 2.257 times higher among feeding participants compared with nonfeeding participants (AOR: 2.257; 95%CI: 1.291–3.948; p<0.05). (Table 5).Table 5
Factors associated with school absenteeism at selected primary schools in Addis Ababa, Ethiopia, May 2018.
CharacteristicsCategoriesSchool absenteeismCOR (95%CI)AOR (95%CI)AbsentNot absentFeeding statusFeeding1293311Nonfeeding114481.646 (0.989–2.740)1.796 (1.061–3.042)∗GenderMale1364811Female107330.874 (0.524–1.456)0.833 (0.481–1.442)Grade of students1–26927113–486240.713 (0.378–1.345)0.743 (0.387–1.425)>588300.871 (0.474–1.600)0.757 (0.393–1.458)Mother presenceYes2237411No2071.055 (0.429–2.594)0.949 (0.373–2.417)Birth orderFirst923311Middle101320.883 (0.503–1.550)0.936 (0.524–1.672)Last50160.892 (0.448–1.777)0.921 (0.454–1.869)IllnessYes1885011No55312.119 (1.236–3.635)∗2.257 (1.291–3.948)∗∗p<0.05; ∗∗p<0.001, statistically significant level.


## 3.1. Sociodemographic Characteristics

A total of 324 participants aged 6–12 years old were enrolled from 3 selected primary schools. Of these, 162 were from the interventional group whereas 162 were from the control group and the response rate was 100%. Most (60%) of the feeding and more than half (54%) of the nonfeeding participants were male participants, while most (73%) of feeding and 78% of nonfeeding participants reported their father’s presence within a family. The majority (92% and 91%) of the feeding and nonfeeding participants reported that they lived with their mothers, respectively. Physical measurements of participants depicted that 30% of feeding participants had a weight measurement of 30–34 KG, whereas 33% of the nonfeeding participants had a weight measurement of 25–29 kg (Table1).Table 1
Sociodemographic characteristics of participants at selected primary schools in Yeka subcity, Addis Ababa, Ethiopia, August 2018 (n = 162 for each).
CharacteristicsCategoriesFeedingNonfeedingNumber%Number%SexMale96608854Female66407446Age in years7161112781491610922142515102514231411372241251248304528GradeGrade 127172717Grade 220122214Grade 324152616Grade 431192918Grade 530192415Grade 621132817Grade 79563Father presenceYes1197312678No43273622Mother presenceYes1499214791No128159ReligionOrthodox1378514891Muslim171085Protestant8564Birth orderFirst63396238Middle74465936Last25154126Weight of participants in kg15–19106.1795.5520–244225.924225.9225–293622.225332.7130–344930.244729.0135 and above2515.43116.79Height in cm<1202112.96138.02120–1293219.752314.19130–1394930.245433.33140–1494427.165332.71≥150169.871911.72Most 70 % of the feeding and 77 % of the nonfeeding participants were absent from school due to illness, whereas only 14 % of feeding and 7 % of nonfeeding participants were absent from the school due to working for money and food (Table2).Table 2
School absenteeism and reasons for school absenteeism at selected primary schools in Yeka subcity, Addis Ababa, Ethiopia, August 2018 (n = 162).
CharacteristicsOptionsFeedingNonfeedingNumber%Number%School absenteeism due to illnessYes1137012577No49303723School absenteeism due to working for money and foodYes2314117No1398615193School absenteeism due to helping family by workYes15985No1479115495School absenteeism due to hungerYes5321No1579716099School absenteeism due to lack of interest to go to schoolYes6411No1569616199School absenteeism due to other reasonsYes10664No1529415696


## 3.2. Body Mass Index Measurements

Most of the participants from both feeding and nonfeeding groups were found within the normal range of height-for-age measurements. Concerning BMI, most 98% of feeding and 90 % of nonfeeding participants were found within the normal range (between 2SD and 2 SD) (Table3).Table 3
Nutritional status of participants at selected primary schools in Yeka subcity, Addis Ababa, Ethiopia, August 2018 (n = 162 for each).
CharacteristicsFeeding statusFeedingNonfeedingNumber%Number%Height for age<−2 SD31.8510.617−2 to 2 SD15495.0615495.06>2 SD53.1074.32BMI for age<−2 SD00116.79−2 to 2 SD15998.114690.12>2 SD31.8553.10


## 3.3. Comparison of Feeding versus Nonfeeding (t-Test Findings)

There was a statistically significant difference between feeding and nonfeeding groups concerning weight, the number of absent days from school, and BMI for age atp<0.05.Participants of the feeding groups had a higher average weight of 28.46 ± 6.554 as compared with the average weight of the nonfeeding groups, 27.00 + 4.81 (mean and standard deviation). Participants of feeding groups had a less (2.23 ± 2.420, mean, SD) average school absent days, as compared with the nonfeeding groups (3.96 ± 3.326, mean, SD) atp<0.05 (Table 4).Table 4
Nutritional status and school absenteeism of participants at selected primary schools, Addis Ababa, Ethiopia, August 2018 (n = 162 for each).
CharacteristicsFeeding statusFeedingNonfeeding(n = 162)(n = 162)WeightMean ± SD28.46 ± 6.55427.00 ± 4.81∗HeightMean ± SD1.35 ± 0.111.37 ± 0.11BMIMean ± SD15.55 ± 2.3114.39 ± 2.07∗Number of absent days from schoolMean ± SD2.23 ± 2.4203.96 ± 3.326∗Last semester average markMean ± SD73.8746 ± 11.7873.53 ± 12.61Height for ageZ (mean ± SD)2.01 ± 0.222.03 ± 0.22BMI for ageZ (mean ± SD)2.02 ± 0.131.96 ± 0.31∗


## 3.4. Factors Associated with School Absenteeism

The odds of having had school absenteeism were 1.796 times higher among feeding participants than nonfeeding participants (AOR: 1.796; 95CI:1.061–3.042,p<0.05). The odds of sustaining absenteeism from the school were 2.257 times higher among feeding participants compared with nonfeeding participants (AOR: 2.257; 95%CI: 1.291–3.948; p<0.05). (Table 5).Table 5
Factors associated with school absenteeism at selected primary schools in Addis Ababa, Ethiopia, May 2018.
CharacteristicsCategoriesSchool absenteeismCOR (95%CI)AOR (95%CI)AbsentNot absentFeeding statusFeeding1293311Nonfeeding114481.646 (0.989–2.740)1.796 (1.061–3.042)∗GenderMale1364811Female107330.874 (0.524–1.456)0.833 (0.481–1.442)Grade of students1–26927113–486240.713 (0.378–1.345)0.743 (0.387–1.425)>588300.871 (0.474–1.600)0.757 (0.393–1.458)Mother presenceYes2237411No2071.055 (0.429–2.594)0.949 (0.373–2.417)Birth orderFirst923311Middle101320.883 (0.503–1.550)0.936 (0.524–1.672)Last50160.892 (0.448–1.777)0.921 (0.454–1.869)IllnessYes1885011No55312.119 (1.236–3.635)∗2.257 (1.291–3.948)∗∗p<0.05; ∗∗p<0.001, statistically significant level.


## 4. Discussion

In this study, participants who enrolled in a school feeding program had a higher average weight than nonfeeding participants and were supported by the study in Vietnam. [22].Though findings from this study revealed that there was no statistically significant difference on average last semester score between feeding and nonfeeding participants, a study in Argentina [23] stated that school feeding had a positive impact on the improvement of academic performance. A positive impact of the school feeding program on improvements in academic achievement was observed in different countries. Of these, it was observed in Nigeria [24], Kenya [25], Tanzania [26, 27], and Ethiopia [28] that the school feeding program had a positive impact on the academic performance of primary school students.In this study, participants from the feeding group had lower average school absenteeism as compared to their counter nonfeeding participants. This indicated that, as students go through enrollment to the school feeding program, their tendency of school absenteeism tends to be lower and the same was reported by the studies in Ghana [29], Kenya [30, 31], and the southern part of Ethiopia [32].Evidence from recommendation suggested that the school feeding program had a positive effect on the reduction of school absenteeism in primary school students. [33] On the contrary, a study in Ghana [34] stated that the school feeding program had no role in the reduction of school absenteeism. This variation might be due to differences in approach of delivery and population type.In this study, the average BMI for age was significantly higher among feeding participants than nonfeeding participants and was supported by a study in Burkina Faso [35]. In this study, illness was one of the factors statistically associated with school absenteeism. Those students who sustained an illness had more risk of being absent from the school compared with their counterparts. Studies from Nigeria and Ghana also investigated that illness is one of the top factors affecting school absenteeism [36, 37].School feeding programs came to be realized on the ground as part of the strategies to improve nutritional status, reduce absenteeism from school, and enhance academic performance. Studies in different parts of Ethiopia also reported the positive impact of the school feeding program on reducing the school absenteeism of primary school students [32, 38]. However, in this study, being enrolled in the feeding program had a negative impact on reducing school absenteeism. As a probable justification, this might be due to the fact that students from the feeding group might vary from those who did not enroll in the feeding program and hence they experienced more absenteeism than their counterparts.


## 5. Conclusions and Recommendations

Participants of the feeding groups had higher average weight than non-feeding groups, less average school absent days than their counterparts. The average BMI for age was also higher among the feeding group than those who did not enroll in the feeding program. The expansion of the program was recommended to be undertaken by the concerned stakeholders.


## 6. Limitations of the study

As this study compared nutritional status, academic performance, and absenteeism, it did not identify the factors behind those outcomes. And hence further studies were recommended.



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