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Tanzania Health Research Bulletin
Health User's Trust Fund (HRUTF)
ISSN: 0856-6496
Vol. 9, No. 2, 2007, pp. 69-76
Bioline Code: rb07013
Full paper language: English
Document type: Research Article
Document available free of charge

Tanzania Health Research Bulletin, Vol. 9, No. 2, 2007, pp. 69-76

 en Nutritional status and intelligence quotient of primary schoolchildren in Akure community of Ondo State, Nigeria
Ijarotimi, O.S. & Ijadunola, K.T.

Abstract

A cross-sectional survey was conducted among 402 children (10-15 years) randomly selected from twelve public and private primary schools in Akure community of Ondo State, Nigeria. Self-administered questionnaire was used to collect information on children’s demographic features and parent’s socio-economic characteristics. The subject’s weight, height, height-for-age and weight-for-height z-score were measured and determined respectively. Raven Standard Progressive Matrices consisted of 60 questions was administered in a quiet classroom within 60 minutes to assess intelligence quotient (IQ) of the children. The means of measured parameters were: age, 11.5± 0.08 years; weight, 33.3±0.35kg; height, 1.4±0.0m; height-for-age z-score, -0.003±0.04; weight-for-height z-score -7.2E-7±0.1 and IQ, 20.9±0.56 (34.8%). The occupations of the children’s parents were civil service (43.3%), petty business (21.9%), farming (15.8%), vocational jobs (16.0%) and none (3.2%). The majority of the parents (31.8%) had secondary school education. Parents with no formal education, primary education, tertiary education and higher degrees accounted for 7.2%, 30.6%, 22.9% and 7.4%, respectively. Monthly incomes ranged between $38.5 and 230.8. Weight-for-height z-score of the children showed that 49.8% were normal, 40% mildly wasted, 9.7% moderately wasted and 0.5% severely wasted. Height-for-age z-score was 50% normal, 35.1% mildly stunted, 13.4% moderately stunted and 1.5% severely stunted. IQ scores were 5% superior 11.2% above average, 11.4% average, 8.2% below average and 64.2% intellectual deficit. The interrelationship between height-for-age, IQ and socio-demographic characteristics showed that there were insignificant differences between the age groups, gender and socio-economic status of the pupils. Conclusively, this study showed that the proportion of malnourished and intellectual deficit among the studied population were high. However, it is not clear whether the findings are specific to the studied population alone or applicable to other parts of Nigeria. Further studies are therefore needed to confirm these findings.

Keywords
nutritional status, intelligence quotient, schoolchildren, Nigeria

 
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