Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91094
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorNie, P-
dc.creatorDing, LL-
dc.creatorSousa-Poza, A-
dc.creatorLeon, AA-
dc.creatorXue, H-
dc.creatorJia, P-
dc.creatorWang, L-
dc.creatorWang, YF-
dc.date.accessioned2021-09-09T03:39:37Z-
dc.date.available2021-09-09T03:39:37Z-
dc.identifier.urihttp://hdl.handle.net/10397/91094-
dc.language.isoenen_US
dc.publisherBioMed Central Ltd.en_US
dc.rights© 2021 BioMed Central Ltd unless otherwise stated.en_US
dc.rightsThis 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/. 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 in a credit line to the data.en_US
dc.rightsThe following publication Nie, P., Ding, L., Sousa-Poza, A. et al. Inequality of weight status in urban Cuba: 2001–2010. Popul Health Metrics 19, 24 (2021) is available at https://doi.org/10.1186/s12963-021-00251-6en_US
dc.subjectBody mass indexen_US
dc.subjectWaist circumferenceen_US
dc.subjectObesityen_US
dc.subjectInequalityen_US
dc.subjectDecompositionen_US
dc.subjectUrban Cubaen_US
dc.titleInequality of weight status in urban Cuba : 2001-2010en_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume19-
dc.identifier.issue1-
dc.identifier.doi10.1186/s12963-021-00251-6-
dcterms.abstractBackground 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.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationPopulation health metrics, 2021, v. 19, no. 1, 24-
dcterms.isPartOfPopulation health metrics-
dcterms.issued2021-
dc.identifier.isiWOS:000647066800002-
dc.identifier.pmid33947417-
dc.identifier.eissn1478-7954-
dc.identifier.artn24-
dc.description.validate202109 bchy-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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