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What Drives Abdominal Obesity in Peru? A Multilevel Analysis Approach Using a Nationally Representative Survey
Abdominal 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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407803/ https://www.ncbi.nlm.nih.gov/pubmed/36011966 http://dx.doi.org/10.3390/ijerph191610333 |
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author | Hernández-Vásquez, Akram Olazo-Cardenas, Kamyla M. Visconti-Lopez, Fabriccio J. Barrenechea-Pulache, Antonio |
author_facet | Hernández-Vásquez, Akram Olazo-Cardenas, Kamyla M. Visconti-Lopez, Fabriccio J. Barrenechea-Pulache, Antonio |
author_sort | Hernández-Vásquez, Akram |
collection | PubMed |
description | Abdominal 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. |
format | Online Article Text |
id | pubmed-9407803 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94078032022-08-26 What Drives Abdominal Obesity in Peru? A Multilevel Analysis Approach Using a Nationally Representative Survey Hernández-Vásquez, Akram Olazo-Cardenas, Kamyla M. Visconti-Lopez, Fabriccio J. Barrenechea-Pulache, Antonio Int J Environ Res Public Health Article Abdominal 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. MDPI 2022-08-19 /pmc/articles/PMC9407803/ /pubmed/36011966 http://dx.doi.org/10.3390/ijerph191610333 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hernández-Vásquez, Akram Olazo-Cardenas, Kamyla M. Visconti-Lopez, Fabriccio J. Barrenechea-Pulache, Antonio What Drives Abdominal Obesity in Peru? A Multilevel Analysis Approach Using a Nationally Representative Survey |
title | What Drives Abdominal Obesity in Peru? A Multilevel Analysis Approach Using a Nationally Representative Survey |
title_full | What Drives Abdominal Obesity in Peru? A Multilevel Analysis Approach Using a Nationally Representative Survey |
title_fullStr | What Drives Abdominal Obesity in Peru? A Multilevel Analysis Approach Using a Nationally Representative Survey |
title_full_unstemmed | What Drives Abdominal Obesity in Peru? A Multilevel Analysis Approach Using a Nationally Representative Survey |
title_short | What Drives Abdominal Obesity in Peru? A Multilevel Analysis Approach Using a Nationally Representative Survey |
title_sort | what drives abdominal obesity in peru? a multilevel analysis approach using a nationally representative survey |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407803/ https://www.ncbi.nlm.nih.gov/pubmed/36011966 http://dx.doi.org/10.3390/ijerph191610333 |
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