Determinants of Overweight Among Primary School Children in Arba Minch Town, Southern Ethiopia, 2021.

BACKGROUND: The condition of being overweight is the abnormal excessive accumulation of fat in the body. Globally, it is a serious public health issue in both developing and developed countries.
OBJECTIVE: This study aims to identify determinants of overweight among primary school children in Arba Minch town, Southern Ethiopia, 2021.
METHODS: A school-based unmatched case control study was conducted from June 20 to 30, 2021. The total sample size was 285 (95 cases and 190 controls). Multistage sampling technique was used. Data were entered using Epi data 3.1 version and analyzed using SPSS version 24 software. Frequency, tables and figures were used. Bivariable analysis was done and variables with p <0.025 were entered to multivariable logistic regression analysis. Statistical significance was declared at p <0.05 with 95% confidence interval (CI).
RESULTS: The odds of overweight increased 19.8 times more in children whose fathers work in private business [AOR: 19.82, 95% CI: 6.21, 63.25], increased 4.8 times more in children who consume meat on more than 2 days per week [AOR: 4.75, 95% CI: 1.61, 14.03], increased 5 times more in children who consume milk on more than 2 days per week [AOR: 5.02, 95% CI: 1.80, 13.98], increased 11.9 times more in children who spend more than 6 hours sitting per day [AOR: 11.89, 95% CI: 4.13, 34.28]. And also, odds decreased by 84% in children who consume fruit on more than 2 days per week [AOR: 0.07, 95% CI: 0.03, 0.19], decreased 93% in children who consume vegetables on more than 2 days per week [AOR: 0.16, 95% CI: 0.06, 0.42], decreased 67% in children who consume cereals on more than 2 days per week [AOR: 0.33, 95% CI: 0.13, 0.84].
CONCLUSION: Fathers working in private business, consuming fruit, vegetables, cereals, meat and milk on more than 2 days per week and sitting for more than 6 hours per day were determinants for overweight in this study. Therefore, it is better to include fruit, vegetables and cereals in dietary habits, decrease consumption of meat and milk and minimize sitting to less than 6 hours per day including school learning time.

Background

The condition of being overweight is an excessive accumulation of fat that impairs or hinders the normal health of the body.1,2 Overweight is a chronic condition that is the result of an energy imbalance over a period of time.3 The primary source for an energy imbalance is when the number of calories consumed becomes unequal to the number of calories used by the body.1,2,4 The cause for this energy imbalance is a combination of several different factors and it varies from individual to individual.1–3

The health and well-being of children have a major impact on the overall social and economic health of a nation as today’s children are tomorrow’s workforce, parents and leaders in various sectors. But, for many years, their nutrition-related health problems have been neglected. However, children’s problems with being overweight have a strong tendency to track in to adulthood and become a foundation for substantial increase in the risk of premature development of chronic disease and certain cancers which will have far-reaching impact on the overall welfare and disease burden of a nation.4,5 Currently, overweight with obesity is the fifth leading risk for global deaths.1,6 Childhood is the key developmental period for early identification and prevention of excessive adiposity of fat in the body that can rise in adulthood. Therefore, the fundamental step in the prevention of overweight is the identification of factors contributing to the rapid increase of overweight among children, and working on it.

Childhood overweight is one of the most serious public health challenges of the 21st century and its prevalence is increasing in both developing and developed countries.1,4 Up to the 1980s, developing countries had the lowest rates, but since then the prevalence of overweight has gradually increased in children, especially in those who live urban areas.1

In Africa, the number of overweight children has nearly doubled from 5.4 million in 1990 to 10.3 million in 2014.7 The occurrence of childhood and adolescent overweight may be unconsidered in African settings, but absolutely, there are more numbers of overweight children living in low and middle income countries including Ethiopia, compared with high income countries.8,9

Studies conducted in different parts of Ethiopia show that the prevalence of overweight is increasing over time. It was 9.9% in Addis Ababa, Ethiopia,10 14.7% in Dire Dawa town, Ethiopia,11 and 9.1% in Gondar, Amhara Regional State, Ethiopia.12 These findings show that overweight is becoming a health problem of Ethiopia. Dietary habits are changing whenever incomes are rising in the developing countries, with a marked shift from fruit and vegetables to meat, fats and sugar content meals.7

In Ethiopia, which is a low-income country that is still suffering from childhood malnutrition, childhood overweight is not yet perceived and considered as an emerging health issue and receives little attention. According to the 2017 annual report of United Nations International Children’s Emergency Fund (UNICEF), there is an overall increment of the prevalence of overweight among children from 1.7% to 3.6%.6 Nevertheless, the efforts do not target children and adolescents in particular. The nation program of Ethiopia, from 2016 to 2020 suggested timely interventions to prevent non-communicable diseases or reduce their severity and consequences,13 but did not consider childhood overweight. Information regarding nutritional status of children in Ethiopia is not well documented.14

In the study area, there was no information regarding the determinants of child overweight among primary school children, although this stage is a crucial time during which eating and physical activity habits are becoming established. Therefore, this study identified the determinant factors of overweight among primary school children in Arba Minch town, Southern Ethiopia.

Methods and Materials

Study Area and Period

The study was conducted in Arba Minch town, Gamo zone, Southern Nation, Nationalities and Peoples Regional State. It is located at a distance of 454 km to the south of Addis Ababa, the capital of Ethiopia. Based on the 2007 census data, the population was 74,879. According to the 2020/2021 Arba Minch town education office statistics, the town has 8 governmental and 11 private primary schools. There were 6524 students learning from 5th to 8th grade in both governmental and private schools. Regarding the coverage of health facilities, the town has one general and one primary hospital, one health center, private clinics and 25 drug stores. There are five health posts in which health extension workers are working. The study was conducted from June 20 to 30, 2021.

Study Design

A school-based unmatched case control study was conducted.

Source Population

All 5th–8th grade students aged 11–15 years in both private and governmental primary schools in Arba Minch town.

Study Population

Selected 5th–8th grade students aged 11–15 years in both private and governmental primary schools in Arba Minch town.

Case definition: All 5th–8th grade students aged 11–15 years in selected schools who had BMI for age greater than or equal to 85th percentile.

Control definition: All 5th–8th grade students aged 11–15 years in selected schools who had MBI for age between 5th and 85th percentile.

Inclusion Criteria

Grades 5th to 8th regular students aged 11–15 years of selected schools in Minch town.

Exclusion Criteria

Students having edema

Students with body deformity such as kyphosis and scoliosis.

Students who lived less than 6 months in the town.

Underweight (BMI for age less than 5th percentile).

Sample Size Determination

Sample size was determined using Epi Info 7 version by considering assumptions of 95% confidence level, power 80%, ratio of control to cases three to one (3:1), percent of control exposed and adjusted odds ratio from previous unmatched case control study.15 Non-response rate 5% and design effect of 1.5 were considered. Finally, the maximum sample size determined was 285 (95 cases and 190 controls) (Table 1).

Table 1

Sample Size Determination on Epi-Info Software Among Primary School Children in Arba Minch Town, Southern Ethiopia, 2021

Variables	% of Controls Exposed	AOR	Ratio	Sample Size	Non Response Rate	Design Effect	Total Sample Size
Age	5.1%	6.3	3:1	139	5%	1.5	219
Gender	61.9%	3.5	3:1	181	5%	1.5	285
Physical activity	28.1%	4.6	3:1	90	5%	1.5	144

Abbreviation: AOR, adjusted odds ratio.

Sampling Procedure

Multistage sampling technique was used. Stratified sampling technique was used to select governmental and private schools. Next, simple random sampling technique was used to select three schools from 11 private and two schools from eight governmental primary schools. Then, proportional allocation was used to select the number of students from government and primary schools. A survey was performed to identify cases one week prior to data collection and 168 cases were identified in selected primary schools. Finally, a lottery method was used to select students by considering the identification number of students as sampling frame and the parents of those selected students were included (Figure 1).

Figure 1

Schematic presentation of the sampling procedure for primary school children in Arba Minch town, Southern Ethiopia, 2021.

Study Variables

Dependent Variable

Overweight.

Independent Variables

Socio-demographic characteristics: religion, ethnicity, parent educational level, parental occupation, number of people live in the house, age of child, sex of child, type of school, grade level of child.

Dietary habits characteristics: individual dietary diversity score (fruit, vegetables, cereals, meat, eggs, milk, number of meals per day, food in addition to regular meals, servings of soft drinks, way of getting lunch, eating while watching TV and reading, missing meal habit, taking anti-psychiatric medication).

Physical activities characteristics: working activities, vigorous activities, walk/using bicycle, vigorous intensity sport.

Sedentary behaviors characteristics: way of spending free time, sitting, sleeping habit, familial chronic disease.

Nutritional Knowledge of Children

Operational and Term Definition

Case: BMI for age greater than or equal to 85th percentile.16,17

Control: BMI for age between 5th and 85th percentile.16,17

Elementary school: school having students learning from grade 5 to grade 8.

Children: population that exist in the age group between 11 to 15 years.18

Vigorous exercise: running or jogging, high intensity aerobic classes, competitive, field sports (soccer) or basketball.19,20

Sedentary behaviors: Time spent using reading books, and/or watching TV, and/or video playing on computer games more than 2 h/day or sleeping for less than 8 h.

Soft drinks: Frequency of drinking sweetened beverages such as Miranda, Coca-Cola, Fanta and others more than once per day.21

Dietary habit: Dietary habit refers to the number of days in which the participant consumed a particular food group (fruits, vegetables, cereals, meat, milk) in weeks in the past months at the time of data collection.

Nutritional knowledge of the children: Assessed using six questions that ask about nutrition related to overweight and then categorized as high if the child scored mean and above or low if the child scored below mean.18

Anthropometric measurements: Measurement of weight and height was performed by using calibrated equipment and standardized technique.18

BMI: the ratio of weight in kilogram to height in meter square.22

Data Collection Tool and Procedure

The tool contained semi-structured questionnaires. Data were collected by face to face interview using the questionnaire adapted from step-wise chronic disease, Food and Agriculture Organization and other literature22,23 and taking anthropometric measurements of weight and height. Data were collected among selected cases and controls randomly. The participants were classified as case and control depending on their percentile status.

Data Quality Control

Pre-test was carried out on 5% of the total sample size at one selected primary school (Lante primary school) and the questionnaire was amended accordingly. Five data collectors (nurses) and two supervisors (experienced public health officers) were recruited. Training was given for data collectors and supervisors about handling respondents’ rights and confidentiality, informed consent and technique of interview. The questionnaire was translated from English to Amharic (the local language of Ethiopia) before data collection and back to English after data collection by a language expert to assure consistency.

The weight scale was calibrated to zero with no object on it and placed on a level surface before measurements were carried out, and children were measured with light clothes and barefoot. The cases and controls were classified by supervisors during data collection and data collectors were blinded to cases and controls. The supervisors reviewed every questionnaire for completeness and consistency. Data collectors submitted the collected data daily to supervisors and investigators. Each questionnaire was checked on a daily basis before data entry for completeness and consistency.

Data Processing and Analysis

The collected data were entered into Epi data version 3.1 and exported to SPSS version 24 for analysis. Tables, percent and graphs were used to describe results. Binary logistic regression model was used to identify the association between each independent and dependent variable by considering odds ratio with 95% CI. Statistical significance was considered and all variables with p <0.025 in bivariable were entered into multivariable analysis. Model fitness test was done by using Hosmer-Lemeshow model goodness of fit test. Multi co-linearity of the independent variables was checked by standard error and variables with standard error >2 were dropped from the multivariable analysis. Adjusted odds ratio with 95% CI was considered to identify the associated factors (determinants of overweight). Finally, statistical significance was declared at p <0.05.

Result

Socio-Demographic Characteristics of Parents

A total of 285 (95 cases and 190 controls) children with either parents were interviewed that made the overall response rate 100%. About 88 (46.3%) controls and 41 (43.2%) cases of the parents were followers of Orthodox religion. More than half, 114 (60.0%) controls and 51 (53.7%) cases were an ethnic group of Gamo. The educational level of 139 (73.2%) controls and 47 (49.5%) cases of fathers was from grade 9–12 and above grade 12 respectively. More than half, 117 (61.6%) controls and 56 (58.9%) cases of mothers completed grade 9–12. Regarding the occupation of fathers, 90 (47.4%) controls and 52 (54.7%) cases was merchant and private business, respectively. For mothers, 89 (46.8%) controls and 41 (43.2%) cases was merchant and private business, respectively (Table 2).

Table 2

Socio-Demographic Characteristics of Parents Among Primary School Children in Arba Minch Town, Southern Ethiopia, 2021

Variable (n = 285)	Category	Controls (n = 190)		Cases (n = 95)
		Frequency	Percent	Frequency	Percent
Religion of parents	Orthodox	88	46.3	41	43.2
	Protestant	75	39.5	32	33.7
	Muslim	22	11.6	15	15.8
	Catholic	5	2.6	7	7.4
Ethnicity	Gamo	114	60.0	51	53.7
	Zayse	31	16.3	27	28.4
	Gidicho	29	15.3	12	12.6
	Others	16	8.4	5	5.3
Educational level of fathers	Grade 1–8	42	22.1	9	9.5
	Grade 9–12	139	73.2	39	41.1
	>grade 12	9	4.7	47	49.5
Educational level of mothers	No formal education	2	1.1	1	1.1
	Grade 1–8	64	33.7	19	20.0
	Grade 9–12	117	61.6	56	58.9
	> grade 12	7	3.7	19	20.0
Occupation of father	Government employee	75	39.5	13	13.7
	Private business	21	11.1	52	54.7
	Daily laborer	4	2.1	0	0
	Merchant	90	47.4	30	31.6
Occupation of mother	House wife	8	4.2	3	3.2
	Government employee	50	26.3	15	15.8
	Private business	43	22.6	36	37.9
	Merchant	89	46.8	41	43.2
Number of people live in the house	<5	24	12.6	30	31.6
	>5	166	87.4	65	66.4

Note: Others: Gofa, Wolaita and Amhara.

Socio-Demographic Characteristics of Children

More than half, 115 (60.5%) of the controls were females and 69 (72.6%) of cases were males. The mean age of controls was 13.6 with SD ±1.461 and the mean age of cases was 12.84 with SD ±1.331. More than half, 106 (55.8%) of the controls and 53 (55.8%) of cases were learning in government school. About 60 (31.6%) of controls were in 5th grade and 42 (44.2%) of cases were in 6th grade (Table 3).

Table 3

Socio-Demographic Characteristics of Study Participants Among Primary School Children in Arba Minch, Southern Ethiopia, 2021

Variable (n = 285)	Category	Controls (n = 190)		Cases (n = 95)
		Frequency	Percent	Frequency	Percent
Sex of child	Male	75	39.5	69	72.6
	Female	115	60.5	26	27.4
Age of child	11	37	19.5	19	20.0
	12	30	15.8	22	23.2
	13	37	19.5	22	23.2
	14	38	20.0	19	20.0
	15	48	25.3	13	13.7
Type of school	Government	106	55.8	53	55.8
	Private	84	44.2	42	44.2
Grade level	5th	60	31.6	28	29.5
	6th	48	25.3	42	44.2
	7th	45	23.7	15	15.8
	8th	37	19.5	10	10.5

Eating Habits and Food Preference of the Primary School Children

The overall eating habits and food preference of the children were explained by categorizing in a reasonable groups for both controls and cases (Table 4).

Table 4

Eating Habits and Food Preferences of Primary School Children in Arba Minch Town, Southern Ethiopia, 2021

Variable (n = 285)	Category	Controls (n = 190)		Cases (n = 95)
		Frequency	Percent	Frequency	Percent
Fruit consumption per week (mango, avocado, orange, …)	≤ 2 days	34	17.9	46	48.4
	˃ 2 days	156	82.1	49	51.6
Vegetable consumption per week (potato, carrot, …)	≤ 2 days	50	26.3	77	81.1
	˃ 2 days	140	73.7	18	18.9
Cereal consumption per week (maize, barely, wheat, …)	≤ 2 days	69	36.3	64	67.4
	˃2 days	121	63.7	31	32.6
Meat consumption per week	≤2 days	83	43.7	15	15.8
	˃ 2 days	107	56.3	80	84.2
Egg, pea, bean, … consumption per week	≤ 2 days	106	55.8	41	43.2
	˃ 2 days	84	44.2	54	56.8
Milk consumption per week	≤ 2 days	75	39.5	14	14.7
	˃ 2 days	115	60.5	81	85.3
Frequency of eating per day	≤ 4 times	173	91.4	7	7.4
	˃ 4 times	17	8.9	88	92.6
Food addition to regular meal	Cake	29	15.3	36	37.9
	Biscuit	58	30.5	33	34.7
	Ice cream	69	36.3	21	22.1
	Chocolate	34	17.9	5	5.3
Servings of soft drink per day	1	170	89.5	38	40.0
	2	12	6.3	54	56.8
	3	8	4.2	3	3.2
Way of getting lunch	Home	147	77.4	60	63.2
	School cafeteria	39	20.5	25	26.3
	Nearby food service	4	2.1	10	10.5
Eat food while watching TV	Yes	134	70.5	57	60.0
	No	56	29.5	38	40.0
Eat food while reading	Yes	38	20.0	10	10.5
	No	152	80.0	85	89.5
Habit of missing meal schedule	Yes	80	42.1	8	8.4
	No	110	57.9	87	91.4
Take anti-psychiatric drug	Yes	6	3.2	2	2.1
	No	184	96.8	93	97.9

Physical Activities of the Primary School Children

The results for physical activity of the children were explained by categorizing in groups for both controls and cases (Table 5).

Table 5

Physical Activities of Primary School Children in Arba Minch Town, Southern Ethiopia, 2021

Variable (n = 285)	Category	Controls (n = 190)		Cases (n = 95)
		Frequency	Percent	Frequency	Percent
Engage in work beside education	Yes	46	24.2	32	33.7
	No	144	75.8	63	66.3
Work involve vigorous intensity activity at least for 10 minutes (n = 78)	Yes	39	84.8	12	37.5
	No	7	15.2	20	62.5
Days vigorous intensity activity at least 10 minutes per week (n = 51)	≤ 2 days	22	52.4	10	83.3
	˃ 2 days	20	47.6	2	16.7
Time of vigorous intensity activity at least 10 minutes per day (n = 51)	<60 minutes	35	89.7	11	91.7
	˃ 60 minutes	4	10.3	1	8.3
Days of walking or riding bicycle for at least 10 minutes per week	≤2 days	3	1.6	45	47.4
	3–4 days	6	3.2	37	38.9
	≥ 5 days	181	95.3	13	13.7
Time of walking or riding bicycle for at least 10 minutes per day	≤ 30 minutes	163	85.8	86	90.5
	31–60 minutes	25	13.2	8	8.4
	˃ 60 minutes	2	1.1	1	1.1
Do vigorous intensity sport for at least 10 minutes per day	Yes	8	4.2	3	3.2
	No	182	95.8	92	96.8

Sedentary Behavior of the Primary School Children

The overall results for sedentary behavior of the children were explained in each group for both controls and cases (Table 6).

Table 6

Sedentary Behavior of Primary School Children in Arba Minch Town, Southern Ethiopia, 2021

Variable (n = 285)	Category	Controls (n = 190)		Cases (n = 95)
		Frequency	Percent	Frequency	Percent
Way of spending free time	Reading books	21	11.1	4	4.2
	Watching TV or Video	37	19.5	73	76.8
	Playing computer/ mobile game	54	28.4	17	17.9
	Helping family	78	41.1	1	1.1
Time spend on sitting	≤ 6 hours	159	83.7	47	49.5
	˃ 6 hours	31	16.3	48	50.5
Sleeping habit in the afternoon	Yes	12	6.3	68	71.6
	No	178	93.7	27	28.4
Average sleeping duration of sleeping per day (n = 80)	34–45 minutes	12	100.0	42	61.8
	˃ 45 minutes	0	0.0	26	38.2
Familial chronic diseases (DM, hypertension, renal, heart, arthritis)	Yes	11	5.8	11	11.6
	No	179	94.2	84	88.4

Abbreviations: TV, television; DM, diabetes mellitus.

Nutritional Knowledge of the Primary School Children

Regarding the nutritional knowledge, 104 (54.7%) controls were had low knowledge and 90 (94.7%) cases were highly knowledgeable (Figure 2).

Figure 2

Nutritional knowledge of primary school children in Arba Minch town, Southern Ethiopia, 2021.

Determinants Associated with Overweight of the Primary School Children

In bivariate analysis; occupation of father, occupation of mother, fruit consumption per week, vegetable consumption per week, cereals consumption per week, meat consumption per week, milk consumption per week, eggs, peas, beans consumption per week and time spent sitting were associated. Whereas, in multivariate binary logistic regression analysis, occupation of father [AOR: 19.82, 95% CI: 6.21, 63.25], fruit consumption per week [AOR: 0.16, 95% CI: 0.06, 0.42], vegetables consumption per week [AOR: 0.07, 95% CI: 0.03, 0.19], cereals consumption per week [AOR: 0.33, 95% CI: 0.13, 0.84], meat consumption per week [AOR: 4.75, 95% CI: 1.61, 14.03], milk consumption per week [AOR: 5.02, 95% CI: 1.80, 13.98] and time spent sitting [AOR: 11.89, 95% CI: 4.13, 34.28] were associated (Table 7).

Table 7

Bivariable and Multivariable Logistic Regression of Determinants of Overweight Among Primary School Children in Arba Minch Town, Southern Ethiopia, 2021

Variables (n = 285)	Category	Overweight		COR (95% CI)	AOR (95% CI)	P-value of AOR
		Case (n = 95)	Control (n = 190)
Occupation of father	Government employee	13(4.6)	75(26.3)	0.52(0.25, 1.07)	0.46(0.13, 1.63)	0.225
	Private business	52(18.2)	21(7.4)	7.43(3.86, 14.28)	19.82(6.21, 63.25)	0.000***
	Daily laborer	0	4(1.4)	0.000	0.00	0.999
	Merchant	30(10.5)	90(31.6)	1	1
Occupation of mother	Housewife	3(1.1)	8(2.8)	0.08(0.21, 3.23)	0.86(0.03, 28.38)	0.931
	Government employee	15(5.3)	50(17.5)	0.65(0.33, 1.29)	2.18(0.57, 8.38)	0.255
	Private business	36(12.6)	43(15.1)	1.82(1.02, 3.24)	1.83(0.69, 4.90)	0.226
	Merchant	41(14.4)	89(31.2)	1	1
Fruit consumption per week	≤ 2 days	34(11.9)	46(16.1)	1	1
	˃ 2 days	156(54.7)	49(17.2)	0.23(0.13, 0.40)	0.16(0.06, 0.42)	0.000***
Vegetable consumption per week	≤ 2 days	50(17.5)	77(27.0)	1	1
	˃ 2 days	140(49.1)	18(6.3)	0.08(0.05, 0.15)	0.07(0.03, 0.19)	0.000***
Cereal consumption per week	≤ 2 days	69(24.2)	64(22.5)	1	1
	˃ 2 days	121(42.5)	31(10.9)	0.27(0.16, 0.46)	0.33(0.13, 0.84)	0.020*
Meat consumption per week	≤ 2 days	83(29.1)	15(5.3)	1	1
	˃ 2 days	107(37.5)	80(28.1)	4.14(2.22, 7.70)	4.75(1.61, 14.03)	0.005**
Milk consumption per week	≤ 2 days	75(26.3)	14(4.9)	1	1
	˃ 2 days	115(40.4)	81(28.4)	3.77(1.99, 7.14)	5.02(1.80, 13.98)	0.002**
Egg, pea, bean, consumption per week	≤ 2 days	106(37.2)	41(14.4)	1	1
	˃ 2 days	84(29.5)	54(18.9)	1.66(1.01, 2.73)	1.26(0.49, 3.23)	0.626
Time spend on sitting	≤ 6 hours	159(55.8)	47(16.5)	1	1
	˃ 6 hours	31(10.9)	48(16.8)	5.24(3.00, 9.14)	11.89(4.13, 34.28)	0.000***

Notes: *Statistically associated at p <0.05, **Statistically associated at p ≤0.01, ***Statistically associated at p ≤0.001, “1” reference group.

Abbreviations: COR, crude odds ratio; AOR, adjusted odds ratio.

Discussion

In this study, after controlling for other confounding factors, occupation of father, fruit consumption per week, vegetables consumption per week, cereals consumption per week, meat consumption per week, milk consumption per week and time spent sitting were found to be determinant factors for risk of childhood overweight.

The findings of this study indicated that the odds of overweight increased about 19.8 times more comparing primary school children whose fathers worked in private business with those who were merchants [AOR: 19.82, 95% CI: 6.21, 63.25]. This was supported in other studies in that fraternal overweight has some contribution to the child.24,25 This might be because fathers who work in their own private business have better socio-economic status and have access to fat-rich foods and a sedentary lifestyle.1,2,24 On the other hand, in low-income countries such as Ethiopia, patterns of expenditure on high-energy foods and childhood overweight have been considered as signs of better socio-economic status and healthiness of parent.24 Parents having better income mostly consume high fat and sugar content foods that lead to being overweight.1,25 They also mostly have their own transportation vehicles, thus minimizing the chance of walking in day to day activities. As result, children of the parents that have better income consume fat-rich meals and go to school by the family’s transportation, and these conditions contribute to childhood overweight.

In bivariable analysis, maternal occupation was significantly associated with overweight of primary school children. The odds of overweight increased 1.8 times more comparing primary school children whose mothers’ occupation was private business to primary school children whose mothers’ occupation was merchant. This might be due to better monthly income. Monthly income level was a determinant of overweight for primary school children in other studies.26,27 But, when confounding factors were adjusted, the association was not statistically significant.

In this study, the odds of overweight decreased by about 84% when comparing primary school children whose consumption of fruit per week was greater than 2 days with those who consume fruit less than or equal to 2 days per week [AOR: 0.16, 95% CI: 0.06, 0.42]. This might be due to fruits containing roughage and fiber that are mostly removed from the body. Consuming high roughage and fiber foods frequently in dietary habit minimizes the chance of fat accumulation in the body, and lead to normal height and weight balance of the children.

The odds of overweight decreased by about 93% when comparing primary school children whose consumption of vegetable per week was greater than 2 days to those who consume vegetable less than or equal to 2 days per week [AOR: 0.07, 95% CI: 0.03, 0.19]. It was supported by a study conducted in Dire Dawa.18 This could be related with the nature of the food in that vegetables contain lower amounts of fat. As a result, consuming these foods for more than two days per week prevents children becoming overweight.

The odds of overweight decreased by about 67% when comparing primary school children whose consumption of cereals (barley, wheat, sorghum, rice) per week was greater than 2 days to those who consume cereals less than or equal to 2 days per week [AOR: 0.33, 95% CI: 0.13, 0.84]. This could be because cereals contain carbohydrate, and protein contents. From this, carbohydrates contribute to fat accumulation of weight, and proteins contribute to body growth of the children. As a result, consumption of cereals may balance the normal growth of the children. As the childhood is an age of growth, these foods initiate normal body balance.

The odds of overweight increased about 4.8 times more comparing primary school children whose meat consumption per week was greater than 2 days with those who consume meat less than or equal to 2 days per week [AOR: 4.75, 95% CI: 1.61, 14.03]. This result was supported by other reports, which indicated that consumption of fat, and sugar-rich foods contribute to childhood overweight.1,2 The reason for this might be that meat is high in calories, and a fat-rich food resulting in a positive energy balance for children.

The odds of overweight increased about 5 times more comparing primary school children whose milk consumption per week was greater than 2 days with those who consume milk less than or equal to 2 days per week [AOR: 5.02, 95% CI: 1.80, 13.98]. This could be because milk contains many nutrients that help in body growth of children. The other reason might be that milk has the potential to enhance appetite when consumed with other foods containing carbohydrates, which leads to eating more than the usual amount at the time.

In bivariable analysis, the odds of overweight increased by about 1.6 times comparing primary school children whose eggs, peas, or beans consumption per week was greater than 2 days to those who consumed eggs, peas, or beans less than or equal to 2 days per week. But, when confounding factors were adjusted, the association was not statistically significant.

The odds of overweight increased by about 11.9 times comparing primary school children whose time spent sitting per day was greater than 6 hours to those whose time spent sitting per day was less than or equal to 6 hours [AOR: 11.89, 95% CI: 4.13, 34.28]. As was stated in other studies, physical inactivity is an important determinant of overweight among children.5,28 This could be because when the child sits in one place, the fat content in the body does not burn off, and this leads to more risk of overweight, and physical immobility induces overweight.

Conclusion

In general, primary school children with fathers who work in private business, children who consume fruit, vegetables, cereals, meat, and milk on more than 2 days per week, and children whose time spent sitting was greater than 6 hours per day were determinant factors for overweight in primary school children in Arba Minch town.

Recommendation

To minimize the risk of overweight, primary school children or parents should:

It is better to include fruit, vegetables, and cereals in their dietary habit for 2 or more days per week.

Should decrease consuming meat, and milk at most 2 days per week.

Should minimize sitting for less than 6 hours per day including school learning time.