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Journal of Nutrition and Health Sciences

ISSN: 2393-9060

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Diet, Nutritional Status and School Performance of Schoolchildren in the District of Abidjan: Case of Yopougon and Bingerville

Received Date: December 01, 2016 Accepted Date: March 25, 2017 Published Date: May 12, 2017

Copyright: © 2017 Zahe KYAS. 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 author and source are credited.

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Abstract

Objective: The objective of this study is to assess the relationship between food intake, nutritional status and good school performance among schoolchildren in the district of Abidjan.

Method: A cross-sectional study was carried out from December 2015 to April 2016 in 426 schoolchildren in Yopougon and Bingerville, two communes in the district of Abidjan. The nutritional status was defined starting from the BMI and calculated with Who Anthro Plus v1.0.4. The student and chi-square tests were used to compare the numbers and proportions. Binary and multiple logistic regressions have been used to see the association between good academic performance and the quality of food consumed and socio-demographic characteristics.

Results: The underweight, overweight and obesity affect or 13.6%, respectively, and 6.8% of schoolchildren. The proportion of pupils eating fruit and vegetables more than three days in the week (71.42%) are more likely than their peers consume less than three days in the week (59.22%). Just as schoolchildren whose parents have been educated are better performing than their peers whose parents were uneducated.

Conclusion: This study did not reveal an association between good academic performance and consumption of fruits and vegetables. But the family environment contributes to better school performance when parents are educated.

Keywords: Diet, nutritional status, good school performance, school children, Abidjan

Introduction

Adolescence is a period during which many teenagers are in schools and take part in several forms of academic activities that impose challenges on their cognitive ability. For these teenagers, their intellectual capacity needs to be enhanced to better respond and perform well [1]. Indeed, school performance expressed by school performance is a multifactorial process conditioned by multiple factors that depend on the child, such as his / her state of health, nutritional and neurocognitive development, and socio-demographic and socio-economic characteristics of the household, the quality and experience of the school [2,3]. But, to enhance cognition as well as the physical development of adolescents, a good amount and quality of food is required. Adolescence is a period of rapid development that requires the ingestion of essential nutrients from foods to cover the harmonious developmental needs of the body. Failure to achieve this demand often results in varying degrees of malnutrition that has an impact on the health and academic performance of adolescents [1]. The association between nutritional status and knowledge of certain socio-demographic and economic characteristics has been the focus of several relevant studies [4]. In Côte d’Ivoire in 2012 reported a prevalence of 39% lean, 25% thin and 4% overweight in a population of 2,038 students with an average age of 12, 7 ± 3.6 years [5]. Thus, high family size is reported to be associated with malnutrition occurrence [ 6]. Moreover, the index of population is reported to be correlated positively with the abnormal haematological and martial status [7].

The contribution of diet as a determinant in the academic performance of adolescents has rarely been studied. In Makkah City, reports in the study that students who take breakfast at home are more performant than their counterparts who are not taking or taking it to school [8,9]. Adds that teenagers consuming fruits and vegetables more than three times in the week are most likely to have better results.

Studies on malnutrition in schools have been developed in Côte d’Ivoire, but little data exist on the quality of school food consumption and their relation to school performance. It is in this perspective that this study was carried out to describe the association between food consumption, nutritional status and school performance among schoolchildren aged 8 to 14 years in the Abidjan district.

Materials and Methods
Study population

The study population of Yopougon and Bingerville is located in the District of Abidjan. This study involved 426 schoolchildren aged 8 to 14 years. These schools were chosen randomly. Authorization was given by the Ministry of National Education and Technical Education (MENET).

Inclusion Criterion

Included in this study are students in the 5th and the 6th grade at the time of the survey attending school since the beginning of the current school year.

Exclusion Criterion

This study excludes children in the 5th and the 6th grade who refused to participate in the survey and those who were absent during the survey period.

Methods

A cross-sectional survey has been descriptive and analytical taken from December 2015 to April 2016.

Data Collection

The social demographic and characteristics of the family are now supplemented by the pupil. The information gathered at age, sex, ethnic group, religion, nationality, family size, number of siblings, number of children under 5, rank in the siblings, and the profession of the parents.

Measurement of anthropometric parameters

Anthropometric measurements were based on the standardized methodology of WHO and the United Nations Children’s Fund [10]. The weight was measured using a SOEHNLE electronic weighing scale with a range of 180 Kg, an accuracy of 100 g. The size was measured using a locally manufactured measuring rod with an accuracy of 0.1 cm.

All children were weighed in standing position; the child is weighed wearing underwear or light clothing without shoes, with the pockets completely empty.

Young children were measured in a vertical position. Children lean against the toy without shoes, heels joined, legs straight, arms dangling and shoulders relaxed. They look straight ahead, and then lower the headrest perpendicularly to touch the top of the head. Then, the eyes looking perpendicularly at the headrest allow the meter to read.

All these measures were carried out by doctoral students from the nutrition laboratory of UFR Biosciences.

BMI = weight (Kg) / height2 (m2)

Classification of nutritional status

The criteria for the classification of BMI have been defined by WHO for individuals between the ages of 5 and 19 years [11]. These are the latter used in this study.

For a z-score of BMI > +1.0 SD, the individual is considered overweight whereas for a z-score of BMI > +2.0 SD, the individual is said to be obese. Individuals with a z-score of BMI between -2 SD to 1SD are considered normal BMI.

Evaluation of the quality of the feed

A questionnaire was used to collect data on school feeding practices. This was the frequency of weekly consumption of specifically identified foods. The choice of foods has been guided by their potential impact on food quality, their different effects on nutritional status, their presence in the school environment and their popularity among schoolchildren. Thus, the question asked to students was, during 7 days was: how many days did you eat these foods? These different foods concerned vegetables, fruits, meat, fish, liver, tofu and caramel, candy and chewing gum, biscuits and chocolates, yoghurt and dairy products and sweetened beverages [12].

Evaluation of academic performance

A class assignment is given to the pupils by the teacher, in order to evaluate their levels for the passage to the higher class. Thus, the grade in mathematics was chosen for the assessment of academic performance [9, 13].

Statistical analysis

For statistical analysis, the data were entered and analyzed with the SPSS software (version 20). Nutritional status was calculated with Who Anthro plus v1.0.4. The chi-square test and the t-test were used to compare proportions and averages. Cross-tabulations and chi-square tests were performed between all dependent and independent categorical variables. Multivariate and two variants logistic regressions were used to estimate the odds ratios (OR) with their 95% confidence interval (CI) and to verify the importance of associations between risk factors and the school performance variable. The statistical significance was represented by a value of P <0.05.

Results and Discussion
Distributions of children by socio-demographic characteristics

A total of 426 students from four primary schools participated in this study. This workforce consists of 50.2% boys and 49.8% girls. In this population, 44.4% of schoolchildren live in peri-urban areas and 55.6% in urban areas. Regarding the size of the household, 78.6% of the children live in households of more than 5 people. 69.5% have fewer than 5 siblings and only 0.9% has more than 10 brothers and sisters. Schoolchildren whose mothers have 49.8% and 5.9% have reached a higher level. As for the father’s level of education, 26.6% of the children have their fathers and 21.4% have reached the upper level (Table 1).

Anthropometric measurements of schoolchildren

The mean age of the study population is 10.92 ± 1.32 years with extremes ranging from 8 to 14 years. This mean age was higher in males (11.04 ± 1.30) than in females (10.8 ± 1.33), but no significant differences were observed between these averages (p = 0.068).

The average weight was 35.69 ± 8.30 kg with a higher mean weight (p = 0.017) for girls (36.72 ± 8.84 Kg) than for boys (34.69 ± 7. 62 Kg), as the size of the girls (145.99 ± 9.35 cm) and that of the boys (143.82 ± 13.49 cm). The mean BMI was 16.88 ± 2.33 Kg/m2, 17.24 ± 2.56 for girls and 16.53 ± 2.02 Kg/m2 for boys with a significant difference (P = 0.002) between the two BMI of girls and that of boys (Table 2).

Distribution of nutritional status of schoolchildren by sex

The distribution of nutritional status of schoolchildren by sex indicates that excessive or deficiency malnutrition affects both girls and boys. Underweight was present in 13.1% of boys and 14.2% of girls; But the difference between these proportions is not significant (P> 0.05). There was no significant difference in the distribution of overweight / obesity in this population (P> 0.05). But there were more girls (8.0%) who were affected by this condition than boys (5.6%). Normal boys (81.3%) outnumber girls (79.6%) (Table 3).

Relationship between food intake and academic performance

The study of the relationship between food intake and academic performance in mathematics indicates that there is no significant difference between fruit and vegetable consumption and good academic performance in mathematics (p> 0.05). However, the proportion of schoolchildren performing better in mathematics consuming more than three days in the week of fruits and vegetables is higher (71.42%) than their counterparts (59.22%) who consume less. The proportion of schoolchildren performing well in mathematics, consuming more than three days of milk and dairy products in the week, were more numerous (76.19%) than those who consumed less (58.76%). However, no significant difference exists between these different proportions (p> 0.05). In the case of biscuits and sweetened beverages, there was also no significant difference between the different proportions of schoolchildren consuming more than three days, and their peers who consume less in the week (Table 4).

Relationship between good school performance and socio-demographic characteristics

The proportion of successful schoolchildren with fewer than five siblings is higher (p = 0.01) with a rate of 63.51% compared with 50.77% for those with more children. Concerning parental education, a significant association (p = 0.02) is observed between the proportion of performing schoolchildren and their fathers in school. Schoolchildren (64.44%) against (53.47%) the father of the child. Similarly, the most successful schoolchildren are mothers who have attended school with a rate of 69.60% against 55.48% of schoolchildren with illiterate mothers. With a significant difference observed (p = 0.007) between these two groups. As for the place of residence, high-performing schoolchildren living in the peri-urban areas are the most numerous (73.54%) with a significant difference (p <0.001). However, the nationality, age, and nutritional status are not significant differences between the different proportions of successful schoolchildren (Table 5).

Discussion

The average age of schoolchildren was 10.92 ± 1.32 years in this study, and is approximately the same as the study population of on predisposing, facilitating and enhancing food consumption factors health and non-health among schoolchildren in Ouagadougou [12].

The assessment of nutritional status has shown that malnutrition is present in this population. Slimness and overweight / obesity were respectively 13.6% and 6.8%. The prevalence of overweight / obesity is similar to that shown in Indian schoolchildren aged between 6 and 11 years [10]. But it is lower than that found by among Ivorian students whose average age were 12 ± 3.6 years [5]. This difference could be explained by the presence of obesogenic foods in the environment of Ivorian schoolchildren. It could be the case of Nigerian children, which were 22.9% and Indians, which were 26.5% [14,15].

The association between food consumption and school performance was not observed in this work. Yet, the most successful schoolchildren were those consuming more fruits and vegetables, as well as milk and dairy products compared to their peers. On the other hand, a significant association was observed between fruit and vegetable consumption among schoolchildren in Canada and in the Gaza Strip [3,9]. Fruits and vegetables have a key role in nutritional balance. They are the main food sources of fiber, vitamins, minerals and other biological components for the growth of the organism [16]. In this study, we investigated the effects of a number of pathologies on childhood [17].

School performance is independent of the nutritional status of schoolchildren defined from BMI. These data are consistent with, which is a significant relationship between nutritional status and academic achievement [9,13]. On the other hand, the nutritional status measured by the importance of the micronutrients indicated a strong association on the cognitive capacity of the students or better academic performance [18]. This may justify the relationship between academic performance and nutritional status in this study because schoolchildren would always be present at school and assumed to be in good health. Also, claims that take breakfast enhance health and academic performance, when it is specifically composed of quality nutrients [19]. Statistical analysis of the results of a positive association between good academic performance and certain socio-demographic characteristics, such as siblings, father and mother education. These results corroborate those of who found a positive association between academic performance and parental education [9].

Children, whose parents had a high level of education, can reach a high school or a university, performed better compared to their equivalents whose parents were uneducated [20].

These data highlight the family environment on academic performance. On the other hand, the size of the household and the age of schoolchildren on school performance were not confirmed in this study.

One of the limitations of this study is that the interview focused only on the children and not the mothers of the households. It was therefore unable to measure children’s food intake in order to really find the relationship between quality and quantity of food consumed and school performance.

Conclusion

The mean age of the study population is 10.92 ± 1.32 years. This population is mainly from a neighborhood and an urban area of the district of Abidjan. The prevalence of underweight, normal, and overweight / obesity is 13.6%, 79.6% and 6.8% of schoolchildren, respectively. Food consumption was not associated with school performance. But the most successful schoolchildren were those who consumed more fruits and vegetables and more milk and dairy products. Similarly, nutritional status did not reveal any association on academic performance. The results of this study are presented in this paper.

Acknowledgment

I would like to express my sincere gratitude to the teaching staff and to the students of the different schools where this data has been collected. Specially, I would like to thank PhD students Djetouan Kacou, Kouakou Firmin who contributed to the survey.

17 Kazi M Jamil, Ahmed Shafiqur Rahman, PK Bardhan, Ashraful Islam Khan, et al. (2008) Micronutrients and Anaemia. J Health Popul Nutr 26: 340-355.

JOURNAL OF NUTRITION HEALTH

Tables at a glance
Table 1
Table 2
Table 3
Table 4
Table 5
Variables
Modalities
Frequency
Percentage (%)
Sex
boys
214
50.2
girls
212
49.2
Total
426
100
Age group
8  à 10
171
40.1
11 à 12
205
48.1
13 à 14
50
11.7
Total
426
100.0
Residential areas
Urban
237
55.6
Peri-urban
189
44.4
Total
426
100.0
Household Size
≤5
91
21.4
>5
335
78.6
Total
426
100.0
Number of siblings
<5
296
69.5
≥5
130
30.5
Total
426
100.0
Mother’s education
illiterate
212
49.8
Primary
89
20.9
Secondary
100
23.5
Supérior
25
5.9
Total
426
100.0
Father’s education
Illiterate 108 26.6
Primary 79 19.5
Secondary 132 32.5
Supérior 87 21.4
Total
406
100.0

Table 1: Social demographic characteristics of schoolchildren

Variables Total population (N = 426) Girls (n = 213) Boys (n = 213) P-value
Age (years) 10.92±1.32 10.80± 1.33 11.04± 1.30 0,068ns
Height (cm) 144.98±9.61 145.33± 10.00 144.49± 9.22 0,415ns
Weight (Kg) 35.69± 8.30 36.72± 8.84 34.69± 7.62 0,017s
BMI (Kg/m2) 16.88± 2.33 17.24± 2.56 16.53± 2.02 0,002s

Independent test t used to compare averages; N=total population; n= population; BMI = Body Mass Index; ns = not significant at P> 0.05; S = significant a P to P <0.05
Table 2: Anthropometric measurements of schoolchildren

Nutritional status (WHO BMI-for-age Z scores)
Boys
Girls
Total
P-value

BMI-for- âge

Underweight <-2SD
28 (13.1 %)
30(14.2 %)
58 (13.6 %)
0.833ns
Normal >-2SD à +1 SD
174 (81.3 %)`
165 (77.8 %)
339(79.6 %)
0.781ns
Overweight/ Obesity >+1SD 
12 (5.6 %)
17 (8.0 %)
29(6.8 %)
0.514ns
Ns = not significant at p <0.05
Table 3: Nutritional status of the population by sex
variables
Modalities
frequency
Good school performance
Bivariante logistic regression
Multi variante logistic regression
%
P-value
OR (95 %)
 P-value
OR (95 %)
 P-value
Animal Food
≤3 days/w
341
203 (59.53)
0.937
 >3 days/w
85
51 (60.00)
1.020(0.628-1,656)
0,937
0.871(0.522-1.453)
0.597
Fruits and vegetables
≤3 days/w
412
244 (59.22)
0.360
 >3 days/w
14
10 (71.42)
1.721 (0.531-5.580)
0,365
1.624(0.483-5.565)
0.433
cookies
≤3 days/w
363
210 (57.85)
0.070
 >3 days/w
63
44(69.84)
1,687 (0.948-3.004)
0.076
1.911(1.039-3.516)
0.037
Legumes
≤3 days/w
392
233 (59.44)
0.791
 >3 days/w
34
21 (61.76)
1.102 (0.536-2.266)
0,791
0.908(0.428-1.924)
0.800
Cereals
≤3 days/w
34
23 (67.64)

0.320

 >3 days/w
392
231 (58.92)
0.686(0.325-1.447)
0.323
0.521(0.238-1.142)
0.103
Milk and dairy products
≤3 days/w
405
238 (58.76)
0.113
 >3 days/w
21
16 (76.19)
2.245(0,807-6.249)
0,121
2.313(0.804-6.657)
0.120
Sugary drinks
≤3 days/w
270
152 (56.30)
0.065
 >3 days/w
156
102 (65.38)
1.466(0,975-2.206)
0,066
1.539(1.010-2.345)
0.045

N = number of respondents; Jrs / s = days per week; OR = odds ratio; % = percentage of schoolchildren performing well in mathematics
Table 4:Bivariate and multivariate logistic regressions between good school performance and food

Variables
Modalités
Good school performance
 Multivariate logistic régression
frequency
%
P-value
OR (95 %)
P-value
Sex
Boys
214
123(57.47)
0.364
1.252(0.829-1.891)
0.285
Girls
212
131(61.79)
Residential areas
Urban
237
115(48.52)
0.000
2,759(1.773-4.294)
0,000
Peri-urban
189
139(73.54)
Nationality
Ivorian
308
186(60.39)
0.603
1.153(0.715-1.860)
0,560
Non-Ivorian
118
68(57.63)
Age group
8 à 10
171
95(55.56)
0.176
2.507(1.219-5.154)
0.012
11 à 12 205 124(60.48) 1.643(0.816-3.308) 0.165
13 à 14
50
35(70)
Household Size
≤5
91
52(57.14)
0.586
1.298(0.774-2.179)
0.323
>5
335
202(60.29)
Siblings
<5
296
188(63.51)
0.014
0.667(0.417-1.065)
0.090
≥5
130
66(50.77)
Mather’s education
illiterate
301
167(55.48)
0.007
1.543(0.939-2.537)
0.087
Primary and more
125
87(69.6)
Father’s education illiterate 187 100(53.47) 0.022 1.221(0.772-1.932) 0.397
Primary and more 239 154(64.44)    
BMI underweight 58 33(56.90)

    

0.889
0.897(0.344-2.340) 0.825
Normal 339 204(60.17) 0.823(0.363-1.869) 0.642
Overweight / Obesity 29 17(58.62)    

N = number of respondents; BMI = body mass index for age; OR = Odds Ratio; P-value is significant at p <0.05
Table 5:
Multivariate logistic regression between school performance and socio-demographic characteristics of schoolchildren in Yopougon and Bingerville (N = 426)