Major depression in hospitalized Argentine general medical patients: Prevalence and risk factors

Autores
Yanzón de La Torre, Andrés; Oliva, Nicolás; Echevarrieta, Paula L.; Pérez, Bibiana G.; Caporusso, Gabriela B.; Titaro, Anabella J.; Todaro Kicyla, Alejandro; Cuatz, Mariana; Locatelli, Mariana; Nelson, Lucila M.; Mac Mullen, Mercedes; Baldessarini, Ross J.; Daray, Federico Manuel
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background: Depression is not uncommon among medically hospitalized patients, though reported prevalence has varied widely, often in samples involving elderly patients with particular illnesses. Accordingly, we evaluated risk of major depression in three metropolitan general hospitals in Buenos Aires, in subjects with a range of medical disorders and ages, comparing several standard screening methods to expert clinical examinations. Methods: Consecutively hospitalized general medical patients were evaluated over a six-months. Excluded were subjects under age 18 and those unable to participate in assessments because of illness, medication, sensory or speech impairment, or lack of language fluency, or scored <25 on the Mini Mental State Examination (MMSE). Consenting participants were examined for DSM-IV-TR major depression by psychiatrists guided by MINI examinations, compared with other standard screening methods. Risk factors were assessed by preliminary bivariate analyses followed by multivariate logistic regression modeling. Results: Overall prevalence of major depression in 257 subjects was 27% by psychiatric examination. The rate was most similar (25%) with the Hospital Anxiety & Depression Scale (HADS), and much higher with the Beck Depression Inventory-II (BDI, 44%) and Patient Health Questionnaire (PHQ, 56%). Factors associated independently with depression by multivariate modeling included: Prior psychotropic-drug treatment, female sex, more children, and heavy smoking. Depression was associated most with neoplastic, urological, and infectious disorders, least with pulmonary, neurological, and hematologic conditions. Limitations: Modest numbers limited power to test for associations of depression with specific medical conditions. Conclusions: Major depression was identified in over one-quarter of Argentine, general medical inpatients, with marked differences among screening methods. Several risk factors were identified. The findings encourage assertive identification of depression in hospitalized medical patients using valid, reliable, and cost-effective means of improving their care.
Fil: Yanzón de La Torre, Andrés. Provincia de Buenos Aires. Ministerio de Salud. Hospital Interzonal de Agudos ; Argentina
Fil: Oliva, Nicolás. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos Bernardino Rivadavia; Argentina
Fil: Echevarrieta, Paula L.. Provincia de Buenos Aires. Ministerio de Salud. Hospital Municipal Bernardo A. Houssay; Argentina
Fil: Pérez, Bibiana G.. Provincia de Buenos Aires. Ministerio de Salud. Hospital Municipal Bernardo A. Houssay; Argentina
Fil: Caporusso, Gabriela B.. Provincia de Buenos Aires. Ministerio de Salud. Hospital Interzonal de Agudos ; Argentina
Fil: Titaro, Anabella J.. Provincia de Buenos Aires. Ministerio de Salud. Hospital Interzonal de Agudos ; Argentina
Fil: Todaro Kicyla, Alejandro. Provincia de Buenos Aires. Ministerio de Salud. Hospital Interzonal de Agudos ; Argentina
Fil: Cuatz, Mariana. Universidad de Buenos Aires. Facultad de Medicina; Argentina
Fil: Locatelli, Mariana. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos Bernardino Rivadavia; Argentina
Fil: Nelson, Lucila M.. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos Bernardino Rivadavia; Argentina
Fil: Mac Mullen, Mercedes. Universidad de Buenos Aires. Facultad de Medicina; Argentina
Fil: Baldessarini, Ross J.. Harvard Medical School; Estados Unidos
Fil: Daray, Federico Manuel. Universidad de Buenos Aires. Facultad de Medicina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Depression
General Hospital
Prevalence
Risk Factors
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/39010
Acceder
id CONICETDig_93bbd236c17323e0d98e490e1955e828
oai_identifier_str oai:ri.conicet.gov.ar:11336/39010
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Major depression in hospitalized Argentine general medical patients: Prevalence and risk factorsYanzón de La Torre, AndrésOliva, NicolásEchevarrieta, Paula L.Pérez, Bibiana G.Caporusso, Gabriela B.Titaro, Anabella J.Todaro Kicyla, AlejandroCuatz, MarianaLocatelli, MarianaNelson, Lucila M.Mac Mullen, MercedesBaldessarini, Ross J.Daray, Federico ManuelDepressionGeneral HospitalPrevalenceRisk Factorshttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3Background: Depression is not uncommon among medically hospitalized patients, though reported prevalence has varied widely, often in samples involving elderly patients with particular illnesses. Accordingly, we evaluated risk of major depression in three metropolitan general hospitals in Buenos Aires, in subjects with a range of medical disorders and ages, comparing several standard screening methods to expert clinical examinations. Methods: Consecutively hospitalized general medical patients were evaluated over a six-months. Excluded were subjects under age 18 and those unable to participate in assessments because of illness, medication, sensory or speech impairment, or lack of language fluency, or scored <25 on the Mini Mental State Examination (MMSE). Consenting participants were examined for DSM-IV-TR major depression by psychiatrists guided by MINI examinations, compared with other standard screening methods. Risk factors were assessed by preliminary bivariate analyses followed by multivariate logistic regression modeling. Results: Overall prevalence of major depression in 257 subjects was 27% by psychiatric examination. The rate was most similar (25%) with the Hospital Anxiety & Depression Scale (HADS), and much higher with the Beck Depression Inventory-II (BDI, 44%) and Patient Health Questionnaire (PHQ, 56%). Factors associated independently with depression by multivariate modeling included: Prior psychotropic-drug treatment, female sex, more children, and heavy smoking. Depression was associated most with neoplastic, urological, and infectious disorders, least with pulmonary, neurological, and hematologic conditions. Limitations: Modest numbers limited power to test for associations of depression with specific medical conditions. Conclusions: Major depression was identified in over one-quarter of Argentine, general medical inpatients, with marked differences among screening methods. Several risk factors were identified. The findings encourage assertive identification of depression in hospitalized medical patients using valid, reliable, and cost-effective means of improving their care.Fil: Yanzón de La Torre, Andrés. Provincia de Buenos Aires. Ministerio de Salud. Hospital Interzonal de Agudos ; ArgentinaFil: Oliva, Nicolás. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos Bernardino Rivadavia; ArgentinaFil: Echevarrieta, Paula L.. Provincia de Buenos Aires. Ministerio de Salud. Hospital Municipal Bernardo A. Houssay; ArgentinaFil: Pérez, Bibiana G.. Provincia de Buenos Aires. Ministerio de Salud. Hospital Municipal Bernardo A. Houssay; ArgentinaFil: Caporusso, Gabriela B.. Provincia de Buenos Aires. Ministerio de Salud. Hospital Interzonal de Agudos ; ArgentinaFil: Titaro, Anabella J.. Provincia de Buenos Aires. Ministerio de Salud. Hospital Interzonal de Agudos ; ArgentinaFil: Todaro Kicyla, Alejandro. Provincia de Buenos Aires. Ministerio de Salud. Hospital Interzonal de Agudos ; ArgentinaFil: Cuatz, Mariana. Universidad de Buenos Aires. Facultad de Medicina; ArgentinaFil: Locatelli, Mariana. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos Bernardino Rivadavia; ArgentinaFil: Nelson, Lucila M.. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos Bernardino Rivadavia; ArgentinaFil: Mac Mullen, Mercedes. Universidad de Buenos Aires. Facultad de Medicina; ArgentinaFil: Baldessarini, Ross J.. Harvard Medical School; Estados UnidosFil: Daray, Federico Manuel. Universidad de Buenos Aires. Facultad de Medicina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaElsevier Science2016-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/39010Yanzón de La Torre, Andrés; Oliva, Nicolás; Echevarrieta, Paula L.; Pérez, Bibiana G.; Caporusso, Gabriela B.; et al.; Major depression in hospitalized Argentine general medical patients: Prevalence and risk factors; Elsevier Science; Journal of Affective Disorders; 197; 6-2016; 36-420165-0327CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.jad.2016.02.066info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0165032715312726info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:46:22Zoai:ri.conicet.gov.ar:11336/39010instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:46:22.885CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Major depression in hospitalized Argentine general medical patients: Prevalence and risk factors
title Major depression in hospitalized Argentine general medical patients: Prevalence and risk factors
spellingShingle Major depression in hospitalized Argentine general medical patients: Prevalence and risk factors
Yanzón de La Torre, Andrés
Depression
General Hospital
Prevalence
Risk Factors
title_short Major depression in hospitalized Argentine general medical patients: Prevalence and risk factors
title_full Major depression in hospitalized Argentine general medical patients: Prevalence and risk factors
title_fullStr Major depression in hospitalized Argentine general medical patients: Prevalence and risk factors
title_full_unstemmed Major depression in hospitalized Argentine general medical patients: Prevalence and risk factors
title_sort Major depression in hospitalized Argentine general medical patients: Prevalence and risk factors
dc.creator.none.fl_str_mv Yanzón de La Torre, Andrés
Oliva, Nicolás
Echevarrieta, Paula L.
Pérez, Bibiana G.
Caporusso, Gabriela B.
Titaro, Anabella J.
Todaro Kicyla, Alejandro
Cuatz, Mariana
Locatelli, Mariana
Nelson, Lucila M.
Mac Mullen, Mercedes
Baldessarini, Ross J.
Daray, Federico Manuel
author Yanzón de La Torre, Andrés
author_facet Yanzón de La Torre, Andrés
Oliva, Nicolás
Echevarrieta, Paula L.
Pérez, Bibiana G.
Caporusso, Gabriela B.
Titaro, Anabella J.
Todaro Kicyla, Alejandro
Cuatz, Mariana
Locatelli, Mariana
Nelson, Lucila M.
Mac Mullen, Mercedes
Baldessarini, Ross J.
Daray, Federico Manuel
author_role author
author2 Oliva, Nicolás
Echevarrieta, Paula L.
Pérez, Bibiana G.
Caporusso, Gabriela B.
Titaro, Anabella J.
Todaro Kicyla, Alejandro
Cuatz, Mariana
Locatelli, Mariana
Nelson, Lucila M.
Mac Mullen, Mercedes
Baldessarini, Ross J.
Daray, Federico Manuel
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Depression
General Hospital
Prevalence
Risk Factors
topic Depression
General Hospital
Prevalence
Risk Factors
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.2
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Background: Depression is not uncommon among medically hospitalized patients, though reported prevalence has varied widely, often in samples involving elderly patients with particular illnesses. Accordingly, we evaluated risk of major depression in three metropolitan general hospitals in Buenos Aires, in subjects with a range of medical disorders and ages, comparing several standard screening methods to expert clinical examinations. Methods: Consecutively hospitalized general medical patients were evaluated over a six-months. Excluded were subjects under age 18 and those unable to participate in assessments because of illness, medication, sensory or speech impairment, or lack of language fluency, or scored <25 on the Mini Mental State Examination (MMSE). Consenting participants were examined for DSM-IV-TR major depression by psychiatrists guided by MINI examinations, compared with other standard screening methods. Risk factors were assessed by preliminary bivariate analyses followed by multivariate logistic regression modeling. Results: Overall prevalence of major depression in 257 subjects was 27% by psychiatric examination. The rate was most similar (25%) with the Hospital Anxiety & Depression Scale (HADS), and much higher with the Beck Depression Inventory-II (BDI, 44%) and Patient Health Questionnaire (PHQ, 56%). Factors associated independently with depression by multivariate modeling included: Prior psychotropic-drug treatment, female sex, more children, and heavy smoking. Depression was associated most with neoplastic, urological, and infectious disorders, least with pulmonary, neurological, and hematologic conditions. Limitations: Modest numbers limited power to test for associations of depression with specific medical conditions. Conclusions: Major depression was identified in over one-quarter of Argentine, general medical inpatients, with marked differences among screening methods. Several risk factors were identified. The findings encourage assertive identification of depression in hospitalized medical patients using valid, reliable, and cost-effective means of improving their care.
Fil: Yanzón de La Torre, Andrés. Provincia de Buenos Aires. Ministerio de Salud. Hospital Interzonal de Agudos ; Argentina
Fil: Oliva, Nicolás. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos Bernardino Rivadavia; Argentina
Fil: Echevarrieta, Paula L.. Provincia de Buenos Aires. Ministerio de Salud. Hospital Municipal Bernardo A. Houssay; Argentina
Fil: Pérez, Bibiana G.. Provincia de Buenos Aires. Ministerio de Salud. Hospital Municipal Bernardo A. Houssay; Argentina
Fil: Caporusso, Gabriela B.. Provincia de Buenos Aires. Ministerio de Salud. Hospital Interzonal de Agudos ; Argentina
Fil: Titaro, Anabella J.. Provincia de Buenos Aires. Ministerio de Salud. Hospital Interzonal de Agudos ; Argentina
Fil: Todaro Kicyla, Alejandro. Provincia de Buenos Aires. Ministerio de Salud. Hospital Interzonal de Agudos ; Argentina
Fil: Cuatz, Mariana. Universidad de Buenos Aires. Facultad de Medicina; Argentina
Fil: Locatelli, Mariana. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos Bernardino Rivadavia; Argentina
Fil: Nelson, Lucila M.. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos Bernardino Rivadavia; Argentina
Fil: Mac Mullen, Mercedes. Universidad de Buenos Aires. Facultad de Medicina; Argentina
Fil: Baldessarini, Ross J.. Harvard Medical School; Estados Unidos
Fil: Daray, Federico Manuel. Universidad de Buenos Aires. Facultad de Medicina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Background: Depression is not uncommon among medically hospitalized patients, though reported prevalence has varied widely, often in samples involving elderly patients with particular illnesses. Accordingly, we evaluated risk of major depression in three metropolitan general hospitals in Buenos Aires, in subjects with a range of medical disorders and ages, comparing several standard screening methods to expert clinical examinations. Methods: Consecutively hospitalized general medical patients were evaluated over a six-months. Excluded were subjects under age 18 and those unable to participate in assessments because of illness, medication, sensory or speech impairment, or lack of language fluency, or scored <25 on the Mini Mental State Examination (MMSE). Consenting participants were examined for DSM-IV-TR major depression by psychiatrists guided by MINI examinations, compared with other standard screening methods. Risk factors were assessed by preliminary bivariate analyses followed by multivariate logistic regression modeling. Results: Overall prevalence of major depression in 257 subjects was 27% by psychiatric examination. The rate was most similar (25%) with the Hospital Anxiety & Depression Scale (HADS), and much higher with the Beck Depression Inventory-II (BDI, 44%) and Patient Health Questionnaire (PHQ, 56%). Factors associated independently with depression by multivariate modeling included: Prior psychotropic-drug treatment, female sex, more children, and heavy smoking. Depression was associated most with neoplastic, urological, and infectious disorders, least with pulmonary, neurological, and hematologic conditions. Limitations: Modest numbers limited power to test for associations of depression with specific medical conditions. Conclusions: Major depression was identified in over one-quarter of Argentine, general medical inpatients, with marked differences among screening methods. Several risk factors were identified. The findings encourage assertive identification of depression in hospitalized medical patients using valid, reliable, and cost-effective means of improving their care.
publishDate 2016
dc.date.none.fl_str_mv 2016-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/39010
Yanzón de La Torre, Andrés; Oliva, Nicolás; Echevarrieta, Paula L.; Pérez, Bibiana G.; Caporusso, Gabriela B.; et al.; Major depression in hospitalized Argentine general medical patients: Prevalence and risk factors; Elsevier Science; Journal of Affective Disorders; 197; 6-2016; 36-42
0165-0327
CONICET Digital
CONICET
url http://hdl.handle.net/11336/39010
identifier_str_mv Yanzón de La Torre, Andrés; Oliva, Nicolás; Echevarrieta, Paula L.; Pérez, Bibiana G.; Caporusso, Gabriela B.; et al.; Major depression in hospitalized Argentine general medical patients: Prevalence and risk factors; Elsevier Science; Journal of Affective Disorders; 197; 6-2016; 36-42
0165-0327
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jad.2016.02.066
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0165032715312726
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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