The Association of Poor Nutrition and Cognitive Outcomes among 4-6 Year Old Children in KZN, South Africa. O. R. Ajayi1, G. Matthews2, J. Kvalsvig3,

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The Association of Poor Nutrition and Cognitive Outcomes among 4-6 Year Old Children in KZN, South Africa. O. R. Ajayi1, G. Matthews2, J. Kvalsvig3, M. Taylor4 1,2School of Mathematics, Statistics and Computer Science. 3,4Discipline of Public Health Medicine, University of Kwazulu-Natal, South Africa.

Table of content Background Variables of interest Data Analysis Results Conclusion References Acknowledgements

Background The study investigated 4-6year old children’s health, nutritional status and cognitive development in a predominantly rural area of Kwazulu-Natal, South Africa. From the literature, studies have focused on the influence of poor nutrition and other predictors of cognitive performance of children younger than school age. [1-4]

Variables of interest Our analysis included Site (one of five adjacent geographic areas), Sex, Education (whether or not the child attended or had attended a pre-school or crèche), Child’s HIV status (ChildHIV) (whether the child was HIV infected), Haemoglobin (ChildHb), height-for-age (zhaz), weight–for–age (zwhaz), and Age (in months). We hypothesized that effect of Site, Sex, Education, ChildHIV, ChildHb, zhaz, and Age would be associated with the cognitive test outcomes of the child on Atlantis, Grover counter test, Hand movement, and Conceptual thinking.

Data Analysis A general linear regression model was used to determine which variables were associated with each of the child’s cognitive scores. Following this, a factor analysis was used to create a global score based on the child’s four cognitive scores using the method of principal components with a varimax rotation. A linear model was once again employed to ascertain which of the variables of interest showed a significant association with the factor.

Characteristics of participating children Results Characteristics of participating children Of 1581 children enrolled in the study anthropometric and cognitive data were collected from 1386 children. We report in this paper on the 1386 children from five geographic areas (1, 2, 3, 4, and 5). Approximately 50% (n= 698) of the children were male and 65% (n = 883) had received pre-school education. (Table 1a). The study recorded 62 HIV positive children, 1278 HIV negative children and 241 children with unknown HIV status. (Table 1a).

Table 1a: Descriptive statistics for categorical variables

Table 1b: Descriptive statistics for continuous variables Minimum Maximum Mean Standard Deviation Age in Months 1386 44 77 59.06 6.984 Height for age Z -score 1382 - 5 3 .94 1.015 W eight for age z 1384 4 .16 .949 for height z score 781 .74 .931 H a e moglobin level 1574 6 16 10.95 1.187 Atlantis 1383 76 30.58 14.280 Conceptual Thinking 1369 20 5.06 3.661 Grover 1355 74 24.34 14.188 Hand movement 1366 15 4.51 1.907

Table 2: Results for the four cognitive tests

Table 3 : F and p-values for variables in a linear regression model using factor scores based on four cognitive scores Source F –value P-value Corrected model 66.716 .000 Intercept 156.764 Site 29.605 Sex 3.637 .057 Pre- school Education 46.009 HIV status 4.135 .016 Age (in months) 274.444 Height-for-age z-score 37.012 Haemoglobin level 2.635 .105

Conclusion. This study shows a strong association of poor nutrition and cognitive outcomes among 4-6 year old children in KwaZulu-Natal, South Africa. Pre-school education is very important in early child development. The negative impact of HIV is evident in this study which emphasises the importance of preventing mother-to-child transmission, monitoring child’s HIV status and immediate treatment of any HIV infected infants. Local authorities in the region need to provide funds for feeding programmes and pre-school education.

References

Acknowledgements We acknowledge the Asenze project, Health and Psychological Need: Children with Disability in a time of HIV, funded by NIDA 5 (R01 DA023697) and the Pl’s Leslie Davidson and Shuaib Kauchali, who supplied the data. The opinions represented here are the sole responsibility of the authors and do not necessarily represent the official views of the NIH.