Anthropometric indicators for obesity and its relationship with depressive symptoms: analysis of a Peruvian national survey

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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...

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Detalles Bibliográficos
Autores: 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.
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
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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
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dc.source.es_PE.fl_str_mv Repositorio Institucional - UTP
Universidad Tecnológica del Perú
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spelling 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. 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