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Inequality of weight status in urban Cuba: 2001–2010

BACKGROUND: Although understanding changes in the body weight distribution and trends in obesity inequality plays a key role in assessing the causes and persistence of obesity, limited research on this topic is available for Cuba. This study thus analyzed changes in body mass index (BMI) and waist c...

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Autores principales: Nie, Peng, Ding, Lanlin, Sousa-Poza, Alfonso, Leon, Alina Alfonso, Xue, Hong, Jia, Peng, Wang, Liang, Wang, Youfa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097838/
https://www.ncbi.nlm.nih.gov/pubmed/33947417
http://dx.doi.org/10.1186/s12963-021-00251-6
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author Nie, Peng
Ding, Lanlin
Sousa-Poza, Alfonso
Leon, Alina Alfonso
Xue, Hong
Jia, Peng
Wang, Liang
Wang, Youfa
author_facet Nie, Peng
Ding, Lanlin
Sousa-Poza, Alfonso
Leon, Alina Alfonso
Xue, Hong
Jia, Peng
Wang, Liang
Wang, Youfa
author_sort Nie, Peng
collection PubMed
description BACKGROUND: Although understanding changes in the body weight distribution and trends in obesity inequality plays a key role in assessing the causes and persistence of obesity, limited research on this topic is available for Cuba. This study thus analyzed changes in body mass index (BMI) and waist circumference (WC) distributions and obesity inequality over a 9-year period among urban Cuban adults. METHODS: Kolmogorov-Smirnov tests were first applied to the data from the 2001 and 2010 National Survey on Risk Factors and Chronic Diseases to identify a rightward shift in both the BMI and WC distributions over the 2001–2010 period. A Shapley technique decomposed the increase in obesity prevalence into a mean-growth effect and a (re)distributional component. A univariate assessment of obesity inequality was then derived by calculating both the Gini and generalized entropy (GE) measures. Lastly, a GE-based decomposition partitioned overall obesity inequality into within-group and between-group values. RESULTS: Despite some relatively pronounced left-skewing, both the BMI and WC distributions exhibited a clear rightward shift to which the increases in general and central obesity can be mostly attributed. According to the Gini coefficients, both general and central obesity inequality increased over the 2001–2010 period, from 0.105 [95% confidence interval (CI) = 0.103–0.106] to 0.110 [95% CI = 0.107–0.112] and from 0.083 [95% CI = 0.082–0.084] to 0.085 [95% CI = 0.084–0.087], respectively. The GE-based decomposition further revealed that both types of inequality were accounted for primarily by within-group inequality (93.3%/89.6% and 87.5%/84.8% in 2001/2010 for general/central obesity, respectively). CONCLUSIONS: Obesity inequality in urban Cuba worsened over the 2001–2010 time period, with within-group inequality in overall obesity dominant over between-group inequality. In general, the results also imply that the rise in obesity inequality is immune to health care system characteristics. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12963-021-00251-6.
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spelling pubmed-80978382021-05-05 Inequality of weight status in urban Cuba: 2001–2010 Nie, Peng Ding, Lanlin Sousa-Poza, Alfonso Leon, Alina Alfonso Xue, Hong Jia, Peng Wang, Liang Wang, Youfa Popul Health Metr Research BACKGROUND: Although understanding changes in the body weight distribution and trends in obesity inequality plays a key role in assessing the causes and persistence of obesity, limited research on this topic is available for Cuba. This study thus analyzed changes in body mass index (BMI) and waist circumference (WC) distributions and obesity inequality over a 9-year period among urban Cuban adults. METHODS: Kolmogorov-Smirnov tests were first applied to the data from the 2001 and 2010 National Survey on Risk Factors and Chronic Diseases to identify a rightward shift in both the BMI and WC distributions over the 2001–2010 period. A Shapley technique decomposed the increase in obesity prevalence into a mean-growth effect and a (re)distributional component. A univariate assessment of obesity inequality was then derived by calculating both the Gini and generalized entropy (GE) measures. Lastly, a GE-based decomposition partitioned overall obesity inequality into within-group and between-group values. RESULTS: Despite some relatively pronounced left-skewing, both the BMI and WC distributions exhibited a clear rightward shift to which the increases in general and central obesity can be mostly attributed. According to the Gini coefficients, both general and central obesity inequality increased over the 2001–2010 period, from 0.105 [95% confidence interval (CI) = 0.103–0.106] to 0.110 [95% CI = 0.107–0.112] and from 0.083 [95% CI = 0.082–0.084] to 0.085 [95% CI = 0.084–0.087], respectively. The GE-based decomposition further revealed that both types of inequality were accounted for primarily by within-group inequality (93.3%/89.6% and 87.5%/84.8% in 2001/2010 for general/central obesity, respectively). CONCLUSIONS: Obesity inequality in urban Cuba worsened over the 2001–2010 time period, with within-group inequality in overall obesity dominant over between-group inequality. In general, the results also imply that the rise in obesity inequality is immune to health care system characteristics. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12963-021-00251-6. BioMed Central 2021-05-04 /pmc/articles/PMC8097838/ /pubmed/33947417 http://dx.doi.org/10.1186/s12963-021-00251-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Nie, Peng
Ding, Lanlin
Sousa-Poza, Alfonso
Leon, Alina Alfonso
Xue, Hong
Jia, Peng
Wang, Liang
Wang, Youfa
Inequality of weight status in urban Cuba: 2001–2010
title Inequality of weight status in urban Cuba: 2001–2010
title_full Inequality of weight status in urban Cuba: 2001–2010
title_fullStr Inequality of weight status in urban Cuba: 2001–2010
title_full_unstemmed Inequality of weight status in urban Cuba: 2001–2010
title_short Inequality of weight status in urban Cuba: 2001–2010
title_sort inequality of weight status in urban cuba: 2001–2010
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097838/
https://www.ncbi.nlm.nih.gov/pubmed/33947417
http://dx.doi.org/10.1186/s12963-021-00251-6
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