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Transitions between body mass index categories, South Africa

OBJECTIVE: To profile the prevalence of the three body mass index (BMI) categories by sociodemographic characteristics, and to calculate the percentage transitioning (or not) from one BMI category to another, to inform South African health policy for the control of obesity and noncommunicable diseas...

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Autores principales: Wandai, Muchiri E, Aagaard-Hansen, Jens, Manda, Samuel OM, Norris, Shane A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: World Health Organization 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7716104/
https://www.ncbi.nlm.nih.gov/pubmed/33293748
http://dx.doi.org/10.2471/BLT.20.255703
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author Wandai, Muchiri E
Aagaard-Hansen, Jens
Manda, Samuel OM
Norris, Shane A
author_facet Wandai, Muchiri E
Aagaard-Hansen, Jens
Manda, Samuel OM
Norris, Shane A
author_sort Wandai, Muchiri E
collection PubMed
description OBJECTIVE: To profile the prevalence of the three body mass index (BMI) categories by sociodemographic characteristics, and to calculate the percentage transitioning (or not) from one BMI category to another, to inform South African health policy for the control of obesity and noncommunicable diseases. METHODS: We used data from the National Income Dynamics Study, including sociodemographic characteristics and BMI measurements collected in 2008, 2010, 2012, 2014 and 2017. For each data collection wave and each population group, we calculated mean BMI and prevalence by category. We also calculated the percentage making an upwards transition (e.g. from overweight to obese), a downwards transition or remaining within a particular category. We used a multinomial logistic regression model to estimate transition likelihood. FINDINGS: Between 2008 and 2017, mean BMI increased by 2.3 kg/m(2). We calculated an increased prevalence of obesity from 19.7% (3686/18 679) to 23.6% (3412/14 463), with the largest increases in prevalence for those aged 19–24 years and those with at least high school education. The percentages of upwards transitions to overweight or obese categories increased sharply between the ages of 19 and 50 years. Once overweight or obese, the likelihood of transitioning to a normal BMI is low, particularly for women, those of higher age groups, and those with a higher income and a higher level of education. CONCLUSION: In the development of national strategies to control obesity and noncommunicable diseases, our results will allow limited public health resources to be focused on the relevant population groups.
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spelling pubmed-77161042020-12-07 Transitions between body mass index categories, South Africa Wandai, Muchiri E Aagaard-Hansen, Jens Manda, Samuel OM Norris, Shane A Bull World Health Organ Research OBJECTIVE: To profile the prevalence of the three body mass index (BMI) categories by sociodemographic characteristics, and to calculate the percentage transitioning (or not) from one BMI category to another, to inform South African health policy for the control of obesity and noncommunicable diseases. METHODS: We used data from the National Income Dynamics Study, including sociodemographic characteristics and BMI measurements collected in 2008, 2010, 2012, 2014 and 2017. For each data collection wave and each population group, we calculated mean BMI and prevalence by category. We also calculated the percentage making an upwards transition (e.g. from overweight to obese), a downwards transition or remaining within a particular category. We used a multinomial logistic regression model to estimate transition likelihood. FINDINGS: Between 2008 and 2017, mean BMI increased by 2.3 kg/m(2). We calculated an increased prevalence of obesity from 19.7% (3686/18 679) to 23.6% (3412/14 463), with the largest increases in prevalence for those aged 19–24 years and those with at least high school education. The percentages of upwards transitions to overweight or obese categories increased sharply between the ages of 19 and 50 years. Once overweight or obese, the likelihood of transitioning to a normal BMI is low, particularly for women, those of higher age groups, and those with a higher income and a higher level of education. CONCLUSION: In the development of national strategies to control obesity and noncommunicable diseases, our results will allow limited public health resources to be focused on the relevant population groups. World Health Organization 2020-12-01 2020-09-28 /pmc/articles/PMC7716104/ /pubmed/33293748 http://dx.doi.org/10.2471/BLT.20.255703 Text en (c) 2020 The authors; licensee World Health Organization. This is an open access article distributed under the terms of the Creative Commons Attribution IGO License (http://creativecommons.org/licenses/by/3.0/igo/legalcode), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In any reproduction of this article there should not be any suggestion that WHO or this article endorse any specific organization or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL.
spellingShingle Research
Wandai, Muchiri E
Aagaard-Hansen, Jens
Manda, Samuel OM
Norris, Shane A
Transitions between body mass index categories, South Africa
title Transitions between body mass index categories, South Africa
title_full Transitions between body mass index categories, South Africa
title_fullStr Transitions between body mass index categories, South Africa
title_full_unstemmed Transitions between body mass index categories, South Africa
title_short Transitions between body mass index categories, South Africa
title_sort transitions between body mass index categories, south africa
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7716104/
https://www.ncbi.nlm.nih.gov/pubmed/33293748
http://dx.doi.org/10.2471/BLT.20.255703
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