Anthropometric indicators for obesity and its relationship with depressive symptoms: analysis of a Peruvian national survey
Descripción del Articulo
Background: The association between obesity and depression has been frequently reported. However, it still remains unclear which anthropometric indicators for obesity could be the best measure to explain its linkage with depressive symptoms. Methods: This is a cross-sectional analytical study. Secon...
Autores: | , , , , , , , |
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Formato: | artículo |
Fecha de Publicación: | 2023 |
Institución: | Universidad Tecnológica del Perú |
Repositorio: | UTP-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.utp.edu.pe:20.500.12867/7029 |
Enlace del recurso: | https://hdl.handle.net/20.500.12867/7029 https://doi.org/10.12688/f1000research.128266.1 |
Nivel de acceso: | acceso abierto |
Materia: | Anthropometry Obesity Depression https://purl.org/pe-repo/ocde/ford#3.03.05 |
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dc.title.es_PE.fl_str_mv |
Anthropometric indicators for obesity and its relationship with depressive symptoms: analysis of a Peruvian national survey |
title |
Anthropometric indicators for obesity and its relationship with depressive symptoms: analysis of a Peruvian national survey |
spellingShingle |
Anthropometric indicators for obesity and its relationship with depressive symptoms: analysis of a Peruvian national survey Vera Ponce, Víctor Juan Anthropometry Obesity Depression https://purl.org/pe-repo/ocde/ford#3.03.05 |
title_short |
Anthropometric indicators for obesity and its relationship with depressive symptoms: analysis of a Peruvian national survey |
title_full |
Anthropometric indicators for obesity and its relationship with depressive symptoms: analysis of a Peruvian national survey |
title_fullStr |
Anthropometric indicators for obesity and its relationship with depressive symptoms: analysis of a Peruvian national survey |
title_full_unstemmed |
Anthropometric indicators for obesity and its relationship with depressive symptoms: analysis of a Peruvian national survey |
title_sort |
Anthropometric indicators for obesity and its relationship with depressive symptoms: analysis of a Peruvian national survey |
author |
Vera Ponce, Víctor Juan |
author_facet |
Vera Ponce, Víctor Juan Torres Malca, Jenny Raquel Guerra Valencia, Jamee Espinoza Rojas, Rubén Zuzunaga-Montoya, Fiorella E. Zeñas-Trujillo, Gianella Zulema Cruz-Ausejo, Liliana De la Cruz-Vargas, Jhony A. |
author_role |
author |
author2 |
Torres Malca, Jenny Raquel Guerra Valencia, Jamee Espinoza Rojas, Rubén Zuzunaga-Montoya, Fiorella E. Zeñas-Trujillo, Gianella Zulema Cruz-Ausejo, Liliana De la Cruz-Vargas, Jhony A. |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Vera Ponce, Víctor Juan Torres Malca, Jenny Raquel Guerra Valencia, Jamee Espinoza Rojas, Rubén Zuzunaga-Montoya, Fiorella E. Zeñas-Trujillo, Gianella Zulema Cruz-Ausejo, Liliana De la Cruz-Vargas, Jhony A. |
dc.subject.es_PE.fl_str_mv |
Anthropometry Obesity Depression |
topic |
Anthropometry Obesity Depression https://purl.org/pe-repo/ocde/ford#3.03.05 |
dc.subject.ocde.es_PE.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#3.03.05 |
description |
Background: The association between obesity and depression has been frequently reported. However, it still remains unclear which anthropometric indicators for obesity could be the best measure to explain its linkage with depressive symptoms. Methods: This is a cross-sectional analytical study. Secondary data was analyzed using information from the Demographic and Health Survey of Peru (ENDES in Spanish). Data from the years 2018 to 2021 were reviewed. The outcome of interest was the presence of depressive symptoms, assessed with the Patient Health Questionnaire-9 (PHQ-9). The exposure variable was the presence of obesity, which was evaluated by body mass index (BMI) and abdominal circumference. Crude and adjusted odds ratios (cOR and aOR) were calculated using logistic regression. Both prevalence and association measures were presented with 95% confidence intervals (95% CI). Results: A total of 141,134 subjects were included in the study. Depression was present in 2.51% (95% CI 2.38–2.65). Obesity according to BMI was present in 25.42% (95% CI 24.97–25.88), while abdominal obesity was shown in 41.67% (95% CI 41.19–42.15). In the multivariate analysis, a statistically significant association was found in regard to symptoms of depression in patients with abdominal obesity (aOR: 1.13; 95% CI 1.03–1.24), while no association was found with obesity according to BMI. Conclusions: Abdominal circumference could be a better anthropometric measure than BMI to evaluate the association between obesity and depressive symptoms in the Peruvian population. |
publishDate |
2023 |
dc.date.accessioned.none.fl_str_mv |
2023-06-01T00:32:13Z |
dc.date.available.none.fl_str_mv |
2023-06-01T00:32:13Z |
dc.date.issued.fl_str_mv |
2023 |
dc.type.es_PE.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.version.es_PE.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.issn.none.fl_str_mv |
2046-1402 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12867/7029 |
dc.identifier.journal.es_PE.fl_str_mv |
F1000Research |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.12688/f1000research.128266.1 |
identifier_str_mv |
2046-1402 F1000Research |
url |
https://hdl.handle.net/20.500.12867/7029 https://doi.org/10.12688/f1000research.128266.1 |
dc.language.iso.es_PE.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofseries.none.fl_str_mv |
F1000Research;vol. 12, n° 139 |
dc.rights.es_PE.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.es_PE.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
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http://creativecommons.org/licenses/by/4.0/ |
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application/pdf |
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F1000 |
dc.publisher.country.es_PE.fl_str_mv |
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Repositorio Institucional - UTP Universidad Tecnológica del Perú |
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reponame:UTP-Institucional instname:Universidad Tecnológica del Perú instacron:UTP |
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Universidad Tecnológica del Perú |
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Vera Ponce, Víctor JuanTorres Malca, Jenny RaquelGuerra Valencia, JameeEspinoza Rojas, RubénZuzunaga-Montoya, Fiorella E.Zeñas-Trujillo, Gianella ZulemaCruz-Ausejo, LilianaDe la Cruz-Vargas, Jhony A.2023-06-01T00:32:13Z2023-06-01T00:32:13Z20232046-1402https://hdl.handle.net/20.500.12867/7029F1000Researchhttps://doi.org/10.12688/f1000research.128266.1Background: The association between obesity and depression has been frequently reported. However, it still remains unclear which anthropometric indicators for obesity could be the best measure to explain its linkage with depressive symptoms. Methods: This is a cross-sectional analytical study. Secondary data was analyzed using information from the Demographic and Health Survey of Peru (ENDES in Spanish). Data from the years 2018 to 2021 were reviewed. The outcome of interest was the presence of depressive symptoms, assessed with the Patient Health Questionnaire-9 (PHQ-9). The exposure variable was the presence of obesity, which was evaluated by body mass index (BMI) and abdominal circumference. Crude and adjusted odds ratios (cOR and aOR) were calculated using logistic regression. Both prevalence and association measures were presented with 95% confidence intervals (95% CI). Results: A total of 141,134 subjects were included in the study. Depression was present in 2.51% (95% CI 2.38–2.65). Obesity according to BMI was present in 25.42% (95% CI 24.97–25.88), while abdominal obesity was shown in 41.67% (95% CI 41.19–42.15). In the multivariate analysis, a statistically significant association was found in regard to symptoms of depression in patients with abdominal obesity (aOR: 1.13; 95% CI 1.03–1.24), while no association was found with obesity according to BMI. Conclusions: Abdominal circumference could be a better anthropometric measure than BMI to evaluate the association between obesity and depressive symptoms in the Peruvian population.Campus Lima Norteapplication/pdfengF1000GBF1000Research;vol. 12, n° 139info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Repositorio Institucional - UTPUniversidad Tecnológica del Perúreponame:UTP-Institucionalinstname:Universidad Tecnológica del Perúinstacron:UTPAnthropometryObesityDepressionhttps://purl.org/pe-repo/ocde/ford#3.03.05Anthropometric indicators for obesity and its relationship with depressive symptoms: analysis of a Peruvian national surveyinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionORIGINALJ.Torres_Articulo_2023.pdfJ.Torres_Articulo_2023.pdfapplication/pdf202478http://repositorio.utp.edu.pe/bitstream/20.500.12867/7029/1/J.Torres_Articulo_2023.pdf87dfe068f1eeae86a576f8abf3edb1e6MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.utp.edu.pe/bitstream/20.500.12867/7029/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52TEXTJ.Torres_Articulo_2023.pdf.txtJ.Torres_Articulo_2023.pdf.txtExtracted texttext/plain30676http://repositorio.utp.edu.pe/bitstream/20.500.12867/7029/3/J.Torres_Articulo_2023.pdf.txt40260cbf6100614888f72b133fc4d757MD53THUMBNAILJ.Torres_Articulo_2023.pdf.jpgJ.Torres_Articulo_2023.pdf.jpgGenerated Thumbnailimage/jpeg18151http://repositorio.utp.edu.pe/bitstream/20.500.12867/7029/4/J.Torres_Articulo_2023.pdf.jpg1778ee8e426d4d58398f3608617ca2d6MD5420.500.12867/7029oai:repositorio.utp.edu.pe:20.500.12867/70292023-05-31 20:03:35.133Repositorio Institucional de la Universidad Tecnológica del Perúrepositorio@utp.edu.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 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).