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dc.contributor.authorHernández-Vásquez, A.
dc.contributor.authorOlazo-Cardenas, K.M.
dc.contributor.authorVisconti-Lopez, F.J.
dc.contributor.authorBarrenechea-Pulache, A.
dc.date.accessioned2025-10-31T18:35:04Z
dc.date.available2025-10-31T18:35:04Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/20.500.12805/5231
dc.description.abstractAbdominal obesity (AO) is a serious public health threat due to its increasing prevalence and effect on the development of various non-communicable diseases. A multilevel analysis of the 2019 Demographic and Family Health Survey (ENDES in Spanish) using the Latin American Diabetes Association (ALAD in Spanish) cut-off points was carried out to evaluate the individual and contextual factors associated with AO in Peru. A total of 30,585 individuals 18 years and older were included in the analysis. The prevalence of AO among Peruvians in 2019 was 56.5%. Individuals of older age (aOR 4.64; 95% CI: 3.95–5.45), women (aOR 2.74; 95% CI: 2.33–3.23), individuals with a higher wealth index (aOR 2.81; 95% CI: 2.40–3.30) and having only secondary education (aOR 1.45; 95% CI: 1.21–1.75) showed increased odds of presenting AO compared to their peers. At a contextual level, only the Human Development Index (aOR 1.59; 95% CI: 1.17–2.16) was associated with the development of AO. A high Human Development Index is the contextual factor most associated with AO. It is necessary to formulate and implement new public health policies focused on these associated factors in order to reduce the prevalence of OA and prevent the excessive burden of associated noncommunicable diseases.en_US
dc.formatapplication/pdf
dc.language.isoeng
dc.publisherMDPI
dc.relation.ispartofurn:issn:1661-7827
dc.rightshttps://purl.org/coar/access_right/c_abf2
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectSDG 3en_US
dc.subjectObesity, Metabolic Health, and Quality of Lifeen_US
dc.subjectObesity Risk Factors and Anthropometric Indicesen_US
dc.titleWhat Drives Abdominal Obesity in Peru? A Multilevel Analysis Approach Using a Nationally Representative Surveyen_US
dc.typehttps://purl.org/coar/resource_type/c_2df8fbb1
dc.identifier.doihttps://doi.org/10.3390/ijerph191610333
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#3.03.09
dc.type.otherResearch article
dc.identifier.journalInternational Journal of Environmental Research and Public Health
dc.type.versionhttps://purl.org/coar/version/c_970fb48d4fbd8a85


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