dc.creatorHernández-Vásquez, Akram
dc.creatorOlazo-Cardenas, Kamyla M.
dc.creatorVisconti-Lopez, Fabriccio J.
dc.creatorBarrenechea-Pulache, Antonio
dc.date.accessioned2022-09-09T19:17:01Z
dc.date.accessioned2024-05-07T03:14:39Z
dc.date.available2022-09-09T19:17:01Z
dc.date.available2024-05-07T03:14:39Z
dc.date.created2022-09-09T19:17:01Z
dc.date.issued2022-08-19
dc.identifier10.3390/ijerph191610333
dc.identifierhttp://hdl.handle.net/10757/660966
dc.identifier16604601
dc.identifierInternational journal of environmental research and public health
dc.identifier2-s2.0-85136544398
dc.identifierSCOPUS_ID:85136544398
dc.identifier0000 0001 2196 144X
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9329886
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.
dc.languageeng
dc.publisherNLM (Medline)
dc.relationhttps://www.mdpi.com/1660-4601/19/16/10333
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International
dc.sourceUniversidad Peruana de Ciencias Aplicadas (UPC)
dc.sourceRepositorio Academico - UPC
dc.sourceInternational journal of environmental research and public health
dc.source19
dc.source16
dc.subjectabdominal obesity
dc.subjectepidemiology
dc.subjecthealth surveys
dc.subjectmultilevel analysis
dc.subjectPeru
dc.titleWhat Drives Abdominal Obesity in Peru? A Multilevel Analysis Approach Using a Nationally Representative Survey
dc.typeinfo:eu-repo/semantics/article


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