Global and National Socioeconomic Disparities in Obesity, Overweight, and Underweight Status
Objective. To examine the association between socioeconomic factors and weight status across 53 countries. Methods. Data are cross-sectional and from the long version of the World Health Survey (WHS). There were 172,625 WHS participants who provided self-reported height and weight measures and socio...
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doaj-177950b7d8f1441db8bb4abc896c31362020-11-24T20:58:21ZengHindawi LimitedJournal of Obesity2090-07082090-07162010-01-01201010.1155/2010/514674514674Global and National Socioeconomic Disparities in Obesity, Overweight, and Underweight StatusSpencer Moore0Justin N. Hall1Sam Harper2John W. Lynch3School of Kinesiology and Health Studies, Queen's University, 28 Division Street Room 310-F, Kingston, ON, K7L 3N6, CanadaSchool of Kinesiology and Health Studies, Queen's University, 28 Division Street Room 310-F, Kingston, ON, K7L 3N6, CanadaDepartment of Epidemiology, Biostatistics, and Occupational Health, Faculty of Medicine, McGill University, Montréal, H3A 1A2, CanadaDepartment of Epidemiology, Biostatistics, and Occupational Health, Faculty of Medicine, McGill University, Montréal, H3A 1A2, CanadaObjective. To examine the association between socioeconomic factors and weight status across 53 countries. Methods. Data are cross-sectional and from the long version of the World Health Survey (WHS). There were 172,625 WHS participants who provided self-reported height and weight measures and sociodemographic information. The International Classification of adult weight status was used to classify participants by body mass index (BMI): (1) underweight (<18.5), (2) normal weight (18.5–24.9), (3) overweight (25.0–29.9), and (4) obese (>30.0). Multinomial regression was used in the analyses. Results. Globally, 6.7% was underweight, 25.7% overweight, and 8.9% obese. Underweight status was least (5.8%) and obesity (9.3%) most prevalent in the richest quintile. There was variability between countries, with a tendency for lower-income quintiles to be at increased risk for underweight and reduced risk for obesity. Conclusion. International policies may require flexibility in addressing cross-national differences in the socio-economic covariates of BMI status.http://dx.doi.org/10.1155/2010/514674 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Spencer Moore Justin N. Hall Sam Harper John W. Lynch |
spellingShingle |
Spencer Moore Justin N. Hall Sam Harper John W. Lynch Global and National Socioeconomic Disparities in Obesity, Overweight, and Underweight Status Journal of Obesity |
author_facet |
Spencer Moore Justin N. Hall Sam Harper John W. Lynch |
author_sort |
Spencer Moore |
title |
Global and National Socioeconomic Disparities in Obesity, Overweight, and Underweight Status |
title_short |
Global and National Socioeconomic Disparities in Obesity, Overweight, and Underweight Status |
title_full |
Global and National Socioeconomic Disparities in Obesity, Overweight, and Underweight Status |
title_fullStr |
Global and National Socioeconomic Disparities in Obesity, Overweight, and Underweight Status |
title_full_unstemmed |
Global and National Socioeconomic Disparities in Obesity, Overweight, and Underweight Status |
title_sort |
global and national socioeconomic disparities in obesity, overweight, and underweight status |
publisher |
Hindawi Limited |
series |
Journal of Obesity |
issn |
2090-0708 2090-0716 |
publishDate |
2010-01-01 |
description |
Objective. To examine the association between socioeconomic factors and weight status across 53 countries. Methods. Data are cross-sectional and from the long version of the World Health Survey (WHS). There were 172,625 WHS participants who provided self-reported height and weight measures and sociodemographic information. The International Classification of adult weight status was used to classify participants by body mass index (BMI): (1) underweight (<18.5), (2) normal weight (18.5–24.9), (3) overweight (25.0–29.9), and (4) obese (>30.0). Multinomial regression was used in the analyses.
Results. Globally, 6.7% was underweight, 25.7% overweight,
and 8.9% obese. Underweight status was least (5.8%) and obesity (9.3%) most prevalent in the richest quintile. There was variability between countries, with a tendency for lower-income quintiles to be at increased risk for underweight and reduced risk for obesity. Conclusion. International policies may require flexibility in addressing cross-national differences in the socio-economic covariates of BMI status. |
url |
http://dx.doi.org/10.1155/2010/514674 |
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