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Low socioeconomic status and severe obesity are linked to poor cognitive performance in Malaysian children
BACKGROUND: Socioeconomic factors and nutritional status have been associated with childhood cognitive development. However, previous Malaysian studies had been conducted with small populations and had inconsistent results. Thus, this present study aims to determine the association between socioecon...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6565598/ https://www.ncbi.nlm.nih.gov/pubmed/31196019 http://dx.doi.org/10.1186/s12889-019-6856-4 |
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author | Poh, Bee Koon Lee, Shoo Thien Yeo, Giin Shang Tang, Kean Choon Noor Afifah, Ab. Rahim Siti Hanisa, Awal Parikh, Panam Wong, Jyh Eiin Ng, Alvin Lai Oon |
author_facet | Poh, Bee Koon Lee, Shoo Thien Yeo, Giin Shang Tang, Kean Choon Noor Afifah, Ab. Rahim Siti Hanisa, Awal Parikh, Panam Wong, Jyh Eiin Ng, Alvin Lai Oon |
author_sort | Poh, Bee Koon |
collection | PubMed |
description | BACKGROUND: Socioeconomic factors and nutritional status have been associated with childhood cognitive development. However, previous Malaysian studies had been conducted with small populations and had inconsistent results. Thus, this present study aims to determine the association between socioeconomic and nutritional status with cognitive performance in a nationally representative sample of Malaysian children. METHODS: A total of 2406 Malaysian children aged 5 to 12 years, who had participated in the South East Asian Nutrition Surveys (SEANUTS), were included in this study. Cognitive performance [non-verbal intelligence quotient (IQ)] was measured using Raven’s Progressive Matrices, while socioeconomic characteristics were determined using parent-report questionnaires. Body mass index (BMI) was calculated using measured weight and height, while BMI-for-age Z-score (BAZ) and height-for-age Z-score (HAZ) were determined using WHO 2007 growth reference. RESULTS: Overall, about a third (35.0%) of the children had above average non-verbal IQ (high average: 110–119; superior: ≥120 and above), while only 12.2% were categorized as having low/borderline IQ (< 80). Children with severe obesity (BAZ > 3SD), children from very low household income families and children whose parents had only up to primary level education had the highest prevalence of low/borderline non-verbal IQ, compared to their non-obese and higher socioeconomic counterparts. Parental lack of education was associated with low/borderline/below average IQ [paternal, OR = 2.38 (95%CI 1.22, 4.62); maternal, OR = 2.64 (95%CI 1.32, 5.30)]. Children from the lowest income group were twice as likely to have low/borderline/below average IQ [OR = 2.01 (95%CI 1.16, 3.49)]. Children with severe obesity were twice as likely to have poor non-verbal IQ than children with normal BMI [OR = 2.28 (95%CI 1.23, 4.24)]. CONCLUSIONS: Children from disadvantaged backgrounds (that is those from very low income families and those whose parents had primary education or lower) and children with severe obesity are more likely to have poor non-verbal IQ. Further studies to investigate the social and environmental factors linked to cognitive performance will provide deeper insights into the measures that can be taken to improve the cognitive performance of Malaysian children. |
format | Online Article Text |
id | pubmed-6565598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65655982019-06-17 Low socioeconomic status and severe obesity are linked to poor cognitive performance in Malaysian children Poh, Bee Koon Lee, Shoo Thien Yeo, Giin Shang Tang, Kean Choon Noor Afifah, Ab. Rahim Siti Hanisa, Awal Parikh, Panam Wong, Jyh Eiin Ng, Alvin Lai Oon BMC Public Health Research BACKGROUND: Socioeconomic factors and nutritional status have been associated with childhood cognitive development. However, previous Malaysian studies had been conducted with small populations and had inconsistent results. Thus, this present study aims to determine the association between socioeconomic and nutritional status with cognitive performance in a nationally representative sample of Malaysian children. METHODS: A total of 2406 Malaysian children aged 5 to 12 years, who had participated in the South East Asian Nutrition Surveys (SEANUTS), were included in this study. Cognitive performance [non-verbal intelligence quotient (IQ)] was measured using Raven’s Progressive Matrices, while socioeconomic characteristics were determined using parent-report questionnaires. Body mass index (BMI) was calculated using measured weight and height, while BMI-for-age Z-score (BAZ) and height-for-age Z-score (HAZ) were determined using WHO 2007 growth reference. RESULTS: Overall, about a third (35.0%) of the children had above average non-verbal IQ (high average: 110–119; superior: ≥120 and above), while only 12.2% were categorized as having low/borderline IQ (< 80). Children with severe obesity (BAZ > 3SD), children from very low household income families and children whose parents had only up to primary level education had the highest prevalence of low/borderline non-verbal IQ, compared to their non-obese and higher socioeconomic counterparts. Parental lack of education was associated with low/borderline/below average IQ [paternal, OR = 2.38 (95%CI 1.22, 4.62); maternal, OR = 2.64 (95%CI 1.32, 5.30)]. Children from the lowest income group were twice as likely to have low/borderline/below average IQ [OR = 2.01 (95%CI 1.16, 3.49)]. Children with severe obesity were twice as likely to have poor non-verbal IQ than children with normal BMI [OR = 2.28 (95%CI 1.23, 4.24)]. CONCLUSIONS: Children from disadvantaged backgrounds (that is those from very low income families and those whose parents had primary education or lower) and children with severe obesity are more likely to have poor non-verbal IQ. Further studies to investigate the social and environmental factors linked to cognitive performance will provide deeper insights into the measures that can be taken to improve the cognitive performance of Malaysian children. BioMed Central 2019-06-13 /pmc/articles/PMC6565598/ /pubmed/31196019 http://dx.doi.org/10.1186/s12889-019-6856-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Poh, Bee Koon Lee, Shoo Thien Yeo, Giin Shang Tang, Kean Choon Noor Afifah, Ab. Rahim Siti Hanisa, Awal Parikh, Panam Wong, Jyh Eiin Ng, Alvin Lai Oon Low socioeconomic status and severe obesity are linked to poor cognitive performance in Malaysian children |
title | Low socioeconomic status and severe obesity are linked to poor cognitive performance in Malaysian children |
title_full | Low socioeconomic status and severe obesity are linked to poor cognitive performance in Malaysian children |
title_fullStr | Low socioeconomic status and severe obesity are linked to poor cognitive performance in Malaysian children |
title_full_unstemmed | Low socioeconomic status and severe obesity are linked to poor cognitive performance in Malaysian children |
title_short | Low socioeconomic status and severe obesity are linked to poor cognitive performance in Malaysian children |
title_sort | low socioeconomic status and severe obesity are linked to poor cognitive performance in malaysian children |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6565598/ https://www.ncbi.nlm.nih.gov/pubmed/31196019 http://dx.doi.org/10.1186/s12889-019-6856-4 |
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