Association of new obesity markers with symptoms of depression: analysis of a 4-year Peruvian national survey

Descripción del Articulo

Introduction: Although body mass index (BMI) and waist circumference (WC) are the most commonly used obesity markers in clinical practice regarding depression, some studies suggest that other obesity markers such as waist-to-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI),...

Descripción completa

Detalles Bibliográficos
Autores: Iturregui Paucar, Cori Raquel, Vera Ponce, Víctor Juan, Zeñas-Trujillo, Gianella Zulema, Loayza-Castro, Joan A., Guerra Valencia, Jamee, Zuzunaga-Montoya, Fiorella E., Valladares-Garrido, Mario J., De la Cruz-Vargas, Jhony A.
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Tecnológica del Perú
Repositorio:UTP-Institucional
Lenguaje:español
OAI Identifier:oai:repositorio.utp.edu.pe:20.500.12867/7947
Enlace del recurso:https://hdl.handle.net/20.500.12867/7947
https://doi.org/10.1016/j.endmts.2023.100141
Nivel de acceso:acceso abierto
Materia:Obesity
Depression
Anthropometry
https://purl.org/pe-repo/ocde/ford#3.00.00
id UTPD_c1c56777320740ea0f6356d91a550803
oai_identifier_str oai:repositorio.utp.edu.pe:20.500.12867/7947
network_acronym_str UTPD
network_name_str UTP-Institucional
repository_id_str 4782
dc.title.es_PE.fl_str_mv Association of new obesity markers with symptoms of depression: analysis of a 4-year Peruvian national survey
title Association of new obesity markers with symptoms of depression: analysis of a 4-year Peruvian national survey
spellingShingle Association of new obesity markers with symptoms of depression: analysis of a 4-year Peruvian national survey
Iturregui Paucar, Cori Raquel
Obesity
Depression
Anthropometry
https://purl.org/pe-repo/ocde/ford#3.00.00
title_short Association of new obesity markers with symptoms of depression: analysis of a 4-year Peruvian national survey
title_full Association of new obesity markers with symptoms of depression: analysis of a 4-year Peruvian national survey
title_fullStr Association of new obesity markers with symptoms of depression: analysis of a 4-year Peruvian national survey
title_full_unstemmed Association of new obesity markers with symptoms of depression: analysis of a 4-year Peruvian national survey
title_sort Association of new obesity markers with symptoms of depression: analysis of a 4-year Peruvian national survey
author Iturregui Paucar, Cori Raquel
author_facet Iturregui Paucar, Cori Raquel
Vera Ponce, Víctor Juan
Zeñas-Trujillo, Gianella Zulema
Loayza-Castro, Joan A.
Guerra Valencia, Jamee
Zuzunaga-Montoya, Fiorella E.
Valladares-Garrido, Mario J.
De la Cruz-Vargas, Jhony A.
author_role author
author2 Vera Ponce, Víctor Juan
Zeñas-Trujillo, Gianella Zulema
Loayza-Castro, Joan A.
Guerra Valencia, Jamee
Zuzunaga-Montoya, Fiorella E.
Valladares-Garrido, Mario J.
De la Cruz-Vargas, Jhony A.
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Iturregui Paucar, Cori Raquel
Vera Ponce, Víctor Juan
Zeñas-Trujillo, Gianella Zulema
Loayza-Castro, Joan A.
Guerra Valencia, Jamee
Zuzunaga-Montoya, Fiorella E.
Valladares-Garrido, Mario J.
Iturregui Paucar, Cori Raquel
De la Cruz-Vargas, Jhony A.
dc.subject.es_PE.fl_str_mv Obesity
Depression
Anthropometry
topic Obesity
Depression
Anthropometry
https://purl.org/pe-repo/ocde/ford#3.00.00
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#3.00.00
description Introduction: Although body mass index (BMI) and waist circumference (WC) are the most commonly used obesity markers in clinical practice regarding depression, some studies suggest that other obesity markers such as waist-to-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), and conicity index (CI) may be more accurate in identifying patients with depression. Objective: To determine the relationship between different markers of obesity and the presence of symptoms of depression. Methods: Analytical cross-sectional study. A secondary analysis was conducted on the Demographic and Family Health Survey (ENDES) from 2018 to 2021. The main variable of the present study was the depression score. Numerical variables were presented as mean and confidence interval at 95 % (CI 95 %). A generalized linear model of the Gaussian family and Identity link function was performed to evaluate the strength of association between the variables of interest. Results: The average depression score in the study population was 2.61 (95 % CI 2.56–2.65). In the multivariable analysis, the depression score increased for each unit that increased the BMI by 0.011 points (β = 0.011; 95 % CI 0.002–0.020), the WHtR by 0.207 points (β = 0.207; 95 % CI 0.145–0.267), the ABSI by 0.158 points (β = 0.158; IC95% 0.047–0.269), the BRI by 0.096 points (β = 0.096; IC95% 0.069–0.122), and the CI by 0.010 points (β =0.010; IC95% 0.004–0.016). There was no statistically significant association for WC. Conclusions: The WHtR may be a better marker of obesity for identifying patients with depressive symptoms compared to other markers.
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-11-27T19:40:40Z
dc.date.available.none.fl_str_mv 2023-11-27T19:40:40Z
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 2666-3961
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12867/7947
dc.identifier.journal.es_PE.fl_str_mv Endocrine and Metabolic Science
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.endmts.2023.100141
identifier_str_mv 2666-3961
Endocrine and Metabolic Science
url https://hdl.handle.net/20.500.12867/7947
https://doi.org/10.1016/j.endmts.2023.100141
dc.language.iso.es_PE.fl_str_mv spa
language spa
dc.relation.ispartofseries.none.fl_str_mv Endocrine and Metabolic Science;vol. 13
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-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.es_PE.fl_str_mv application/pdf
dc.publisher.es_PE.fl_str_mv Elsevier
dc.publisher.country.es_PE.fl_str_mv NL
dc.source.es_PE.fl_str_mv Repositorio Institucional - UTP
Universidad Tecnológica del Perú
dc.source.none.fl_str_mv reponame:UTP-Institucional
instname:Universidad Tecnológica del Perú
instacron:UTP
instname_str Universidad Tecnológica del Perú
instacron_str UTP
institution UTP
reponame_str UTP-Institucional
collection UTP-Institucional
bitstream.url.fl_str_mv http://repositorio.utp.edu.pe/bitstream/20.500.12867/7947/1/C.Iturregui_Articulo_2023.pdf
http://repositorio.utp.edu.pe/bitstream/20.500.12867/7947/2/license.txt
http://repositorio.utp.edu.pe/bitstream/20.500.12867/7947/3/C.Iturregui_Articulo_2023.pdf.txt
http://repositorio.utp.edu.pe/bitstream/20.500.12867/7947/4/C.Iturregui_Articulo_2023.pdf.jpg
bitstream.checksum.fl_str_mv 7f104863988d2ff5e12e99e0ad9b7c63
8a4605be74aa9ea9d79846c1fba20a33
9db4167adf580a0c0c3bd9324ad0ca9f
2fa28f51628f7b6aaf8c476717f45cf5
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Institucional de la Universidad Tecnológica del Perú
repository.mail.fl_str_mv repositorio@utp.edu.pe
_version_ 1817984916977090560
spelling Iturregui Paucar, Cori RaquelVera Ponce, Víctor JuanZeñas-Trujillo, Gianella ZulemaLoayza-Castro, Joan A.Guerra Valencia, JameeZuzunaga-Montoya, Fiorella E.Valladares-Garrido, Mario J.Iturregui Paucar, Cori RaquelDe la Cruz-Vargas, Jhony A.2023-11-27T19:40:40Z2023-11-27T19:40:40Z20232666-3961https://hdl.handle.net/20.500.12867/7947Endocrine and Metabolic Sciencehttps://doi.org/10.1016/j.endmts.2023.100141Introduction: Although body mass index (BMI) and waist circumference (WC) are the most commonly used obesity markers in clinical practice regarding depression, some studies suggest that other obesity markers such as waist-to-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), and conicity index (CI) may be more accurate in identifying patients with depression. Objective: To determine the relationship between different markers of obesity and the presence of symptoms of depression. Methods: Analytical cross-sectional study. A secondary analysis was conducted on the Demographic and Family Health Survey (ENDES) from 2018 to 2021. The main variable of the present study was the depression score. Numerical variables were presented as mean and confidence interval at 95 % (CI 95 %). A generalized linear model of the Gaussian family and Identity link function was performed to evaluate the strength of association between the variables of interest. Results: The average depression score in the study population was 2.61 (95 % CI 2.56–2.65). In the multivariable analysis, the depression score increased for each unit that increased the BMI by 0.011 points (β = 0.011; 95 % CI 0.002–0.020), the WHtR by 0.207 points (β = 0.207; 95 % CI 0.145–0.267), the ABSI by 0.158 points (β = 0.158; IC95% 0.047–0.269), the BRI by 0.096 points (β = 0.096; IC95% 0.069–0.122), and the CI by 0.010 points (β =0.010; IC95% 0.004–0.016). There was no statistically significant association for WC. Conclusions: The WHtR may be a better marker of obesity for identifying patients with depressive symptoms compared to other markers.Campus Lima Norteapplication/pdfspaElsevierNLEndocrine and Metabolic Science;vol. 13info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Repositorio Institucional - UTPUniversidad Tecnológica del Perúreponame:UTP-Institucionalinstname:Universidad Tecnológica del Perúinstacron:UTPObesityDepressionAnthropometryhttps://purl.org/pe-repo/ocde/ford#3.00.00Association of new obesity markers with symptoms of depression: analysis of a 4-year Peruvian national surveyinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionORIGINALC.Iturregui_Articulo_2023.pdfC.Iturregui_Articulo_2023.pdfapplication/pdf396594http://repositorio.utp.edu.pe/bitstream/20.500.12867/7947/1/C.Iturregui_Articulo_2023.pdf7f104863988d2ff5e12e99e0ad9b7c63MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.utp.edu.pe/bitstream/20.500.12867/7947/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52TEXTC.Iturregui_Articulo_2023.pdf.txtC.Iturregui_Articulo_2023.pdf.txtExtracted texttext/plain28996http://repositorio.utp.edu.pe/bitstream/20.500.12867/7947/3/C.Iturregui_Articulo_2023.pdf.txt9db4167adf580a0c0c3bd9324ad0ca9fMD53THUMBNAILC.Iturregui_Articulo_2023.pdf.jpgC.Iturregui_Articulo_2023.pdf.jpgGenerated Thumbnailimage/jpeg18871http://repositorio.utp.edu.pe/bitstream/20.500.12867/7947/4/C.Iturregui_Articulo_2023.pdf.jpg2fa28f51628f7b6aaf8c476717f45cf5MD5420.500.12867/7947oai:repositorio.utp.edu.pe:20.500.12867/79472023-11-27 17:04:12.663Repositorio Institucional de la Universidad Tecnológica del Perúrepositorio@utp.edu.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
score 13.940932
Nota importante:
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).