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Asociación entre la depresión y variables sociodemográficas en el adulto mayor en el Perú.

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Title: Asociación entre la depresión y variables sociodemográficas en el adulto mayor en el Perú.
Alternate Title: Association between Depression and Sociodemographic Variables in the Elderly in Peru.
Associação entre depressão e variáveis sociodemográficas em idosos no Peru.
Authors: Solano Dávila, Olga Lidia1, Bartolo Gotarate, Félix1, Montes Quintana, Grabiela1, Pillhuaman Caña, Nelly1, Quispe, Gregoria Ramón1, Jauregui, Jorge Condado1, Vega Calero, Lucy1, Bolaños Solano, Olga2 osolanod@unmsm.edu.pe
Source: Revista Ciencias de la Salud. ene-abr2024, Vol. 22 Issue 1, p1-15. 15p.
Subjects: DIABETES complications, MENTAL depression risk factors, RISK assessment, CROSS-sectional method, STATISTICAL correlation, QUESTIONNAIRES, MULTIPLE regression analysis, SOCIOECONOMIC factors, SEX distribution, HOME environment, AGE distribution, RESEARCH methodology, RESEARCH, SOCIODEMOGRAPHIC factors, PUBLIC health, BLOOD pressure, MENTAL depression, EDUCATIONAL attainment, PSYCHOSOCIAL factors, OLD age
Geographic Terms: PERU
Abstract (English): Introduction: We analyzed depression, sociodemographic variables, and the association between them in older adults in Peru. Materials and methods: A cross-sectional, descriptive, and correlational study was conducted, including 5,247 older adults. The data was extracted from the 2019 Demographic and Health Survey (ENDES) using the Patient Health Questionnaire (PHQ-9) of nine questions. The health questionnaires also included sociodemographic variables, household characteristics, and housing-related questions. A multiple logistic regression model was used to determine if there was an association between depression and sociodemographic variables. Results: Approximately 15.3% of older adults had a history of depression (moderate, moderately severe, and severe). We identified a relationship between depression and some sociodemographic variables (education level, diabetes, wealth index, sex, and age group). However, depression was not related to smoking habits, obesity, having a partner, and place of residence. Conclusions: Depression was related to some of the sociodemographic variables considered in this study. Depression in older adults is becoming a significant public health problem, more frequent in women, advanced ages, rural areas, low socioeconomic levels, lower educational levels, blood pressure, disability, and problematic alcohol consumption. These conditions must be considered in the implementation of public policies. [ABSTRACT FROM AUTHOR]
Abstract (Spanish): Introducción: en el artículo se analizan la depresión, variables sociodemográficas y su asociación entre ellas en adultos mayores en el Perú. Materiales y métodos: se usó un estudio transversal, descriptivo y correlacional a una submuestra de 5247 adultos mayores. Se emplearon los datos generados por la Encuesta Demográfica y de Salud (ENDES) del 2019, utilizando el instrumento de investigación: Patient Healtth Questionnarie (PHQ-9) de nueve preguntas y las variables sociodemográficas, incluidas en los cuestionarios de salud, características del hogar y la vivienda, de la ENDES 2019. Para el estudio estadístico se usó el modelo de regresión logística múltiple, para establecer si existía asociación entre depresión y variables sociodemográficas. Resultados: los resultados señalan que el 15.3 % de las personas de 60 años a más presenta una depresión moderada, moderadamente severa y severa. Asimismo, se encontró que la depresión y las variables sociodemográficas (nivel de instrucción, diabetes, índice de riqueza, sexo y grupo etario) están relacionadas; sin embargo, no están relacionadas con las variables hábito de fumar, obesidad, tener pareja y lugar de residencia. Conclusiones: la depresión está relacionada con algunas variables sociodemográficas consideradas en este estudio. La depresión en adultos mayores se está convirtiendo en un significativo problema de salud pública, más frecuente en mujeres, edades avanzadas, áreas rurales, niveles socioeconómicos bajos, menores niveles educativos, presión arterial, discapacidad y consumo problemático de alcohol; condiciones que deben tenerse en cuenta para la implementación de políticas públicas. [ABSTRACT FROM AUTHOR]
Abstract (Portuguese): Introdução: no presente artigo analisa-se a depressão, variáveis sociodemográficas e a associação entre elas em idosos no Peru. Materiais e métodos: estudo transversal, descritivo e correlacional, com uma subamostra de 5247 idosos. Foram utilizados os dados gerados pela "Pesquisa Demográfica e de Saúde" (do espanhol endes) do ano de 2019, utilizando como instrumento de pesquisa o: Patient Health Questionnarie (PHQ-9) de nove questões e as variáveis sociodemográficas, incluídas nos questionários de saúde, domiciliar e características de moradia, do ENDES 2019. Para o estudo estatístico, foi utilizado o modelo de regressão logística múltipla para verificar se havia associação entre depressão e variáveis sociodemográficas. Resultados: os resultados indicam que 15,3 por cento das pessoas com 60 anos ou mais apresentam um nível de depressão moderada, moderadamente grave e grave. Da mesma forma, verificou-se que a depressão e as variáveis sociodemográficas (escolaridade, diabetes, índice de riqueza, sexo e faixa etária) estão relacionadas; entretanto, não estão relacionados com as variáveis hábito de fumar, obesidade, ter companheiro e local de residência. Conclusões: a depressão está relacionada com algumas das variáveis sociodemográficas consideradas neste estudo. A depressão em idosos está se tornando um problema significativo de saúde pública, mais frequente em mulheres, idades avançadas, áreas rurais, níveis socioeconómicos baixos, níveis educacionais mais baixos, pressão arterial, deficiência e consumo problemático de álcool; condições que devem ser levadas em conta para a implementação de políticas públicas. [ABSTRACT FROM AUTHOR]
Copyright of Revista Ciencias de la Salud is the property of Colegio Mayor de Nuestra Senora del Rosario and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: MedicLatina
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  Data: Asociación entre la depresión y variables sociodemográficas en el adulto mayor en el Perú.
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  Data: Association between Depression and Sociodemographic Variables in the Elderly in Peru.<br />Associação entre depressão e variáveis sociodemográficas em idosos no Peru.
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  Data: <searchLink fieldCode="AR" term="%22Solano+Dávila%2C+Olga+Lidia%22">Solano Dávila, Olga Lidia</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Bartolo+Gotarate%2C+Félix%22">Bartolo Gotarate, Félix</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Montes+Quintana%2C+Grabiela%22">Montes Quintana, Grabiela</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Pillhuaman+Caña%2C+Nelly%22">Pillhuaman Caña, Nelly</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Quispe%2C+Gregoria+Ramón%22">Quispe, Gregoria Ramón</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Jauregui%2C+Jorge+Condado%22">Jauregui, Jorge Condado</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Vega+Calero%2C+Lucy%22">Vega Calero, Lucy</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Bolaños+Solano%2C+Olga%22">Bolaños Solano, Olga</searchLink><relatesTo>2</relatesTo><i> osolanod@unmsm.edu.pe</i>
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  Data: <searchLink fieldCode="JN" term="%22Revista+Ciencias+de+la+Salud%22">Revista Ciencias de la Salud</searchLink>. ene-abr2024, Vol. 22 Issue 1, p1-15. 15p.
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  Data: <searchLink fieldCode="DE" term="%22DIABETES+complications%22">DIABETES complications</searchLink><br /><searchLink fieldCode="DE" term="%22MENTAL+depression+risk+factors%22">MENTAL depression risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22RISK+assessment%22">RISK assessment</searchLink><br /><searchLink fieldCode="DE" term="%22CROSS-sectional+method%22">CROSS-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22STATISTICAL+correlation%22">STATISTICAL correlation</searchLink><br /><searchLink fieldCode="DE" term="%22QUESTIONNAIRES%22">QUESTIONNAIRES</searchLink><br /><searchLink fieldCode="DE" term="%22MULTIPLE+regression+analysis%22">MULTIPLE regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22SOCIOECONOMIC+factors%22">SOCIOECONOMIC factors</searchLink><br /><searchLink fieldCode="DE" term="%22SEX+distribution%22">SEX distribution</searchLink><br /><searchLink fieldCode="DE" term="%22HOME+environment%22">HOME environment</searchLink><br /><searchLink fieldCode="DE" term="%22AGE+distribution%22">AGE distribution</searchLink><br /><searchLink fieldCode="DE" term="%22RESEARCH+methodology%22">RESEARCH methodology</searchLink><br /><searchLink fieldCode="DE" term="%22RESEARCH%22">RESEARCH</searchLink><br /><searchLink fieldCode="DE" term="%22SOCIODEMOGRAPHIC+factors%22">SOCIODEMOGRAPHIC factors</searchLink><br /><searchLink fieldCode="DE" term="%22PUBLIC+health%22">PUBLIC health</searchLink><br /><searchLink fieldCode="DE" term="%22BLOOD+pressure%22">BLOOD pressure</searchLink><br /><searchLink fieldCode="DE" term="%22MENTAL+depression%22">MENTAL depression</searchLink><br /><searchLink fieldCode="DE" term="%22EDUCATIONAL+attainment%22">EDUCATIONAL attainment</searchLink><br /><searchLink fieldCode="DE" term="%22PSYCHOSOCIAL+factors%22">PSYCHOSOCIAL factors</searchLink><br /><searchLink fieldCode="DE" term="%22OLD+age%22">OLD age</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22PERU%22">PERU</searchLink>
– Name: Abstract
  Label: Abstract (English)
  Group: Ab
  Data: Introduction: We analyzed depression, sociodemographic variables, and the association between them in older adults in Peru. Materials and methods: A cross-sectional, descriptive, and correlational study was conducted, including 5,247 older adults. The data was extracted from the 2019 Demographic and Health Survey (ENDES) using the Patient Health Questionnaire (PHQ-9) of nine questions. The health questionnaires also included sociodemographic variables, household characteristics, and housing-related questions. A multiple logistic regression model was used to determine if there was an association between depression and sociodemographic variables. Results: Approximately 15.3% of older adults had a history of depression (moderate, moderately severe, and severe). We identified a relationship between depression and some sociodemographic variables (education level, diabetes, wealth index, sex, and age group). However, depression was not related to smoking habits, obesity, having a partner, and place of residence. Conclusions: Depression was related to some of the sociodemographic variables considered in this study. Depression in older adults is becoming a significant public health problem, more frequent in women, advanced ages, rural areas, low socioeconomic levels, lower educational levels, blood pressure, disability, and problematic alcohol consumption. These conditions must be considered in the implementation of public policies. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Spanish)
  Group: Ab
  Data: Introducción: en el artículo se analizan la depresión, variables sociodemográficas y su asociación entre ellas en adultos mayores en el Perú. Materiales y métodos: se usó un estudio transversal, descriptivo y correlacional a una submuestra de 5247 adultos mayores. Se emplearon los datos generados por la Encuesta Demográfica y de Salud (ENDES) del 2019, utilizando el instrumento de investigación: Patient Healtth Questionnarie (PHQ-9) de nueve preguntas y las variables sociodemográficas, incluidas en los cuestionarios de salud, características del hogar y la vivienda, de la ENDES 2019. Para el estudio estadístico se usó el modelo de regresión logística múltiple, para establecer si existía asociación entre depresión y variables sociodemográficas. Resultados: los resultados señalan que el 15.3 % de las personas de 60 años a más presenta una depresión moderada, moderadamente severa y severa. Asimismo, se encontró que la depresión y las variables sociodemográficas (nivel de instrucción, diabetes, índice de riqueza, sexo y grupo etario) están relacionadas; sin embargo, no están relacionadas con las variables hábito de fumar, obesidad, tener pareja y lugar de residencia. Conclusiones: la depresión está relacionada con algunas variables sociodemográficas consideradas en este estudio. La depresión en adultos mayores se está convirtiendo en un significativo problema de salud pública, más frecuente en mujeres, edades avanzadas, áreas rurales, niveles socioeconómicos bajos, menores niveles educativos, presión arterial, discapacidad y consumo problemático de alcohol; condiciones que deben tenerse en cuenta para la implementación de políticas públicas. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Portuguese)
  Group: Ab
  Data: Introdução: no presente artigo analisa-se a depressão, variáveis sociodemográficas e a associação entre elas em idosos no Peru. Materiais e métodos: estudo transversal, descritivo e correlacional, com uma subamostra de 5247 idosos. Foram utilizados os dados gerados pela "Pesquisa Demográfica e de Saúde" (do espanhol endes) do ano de 2019, utilizando como instrumento de pesquisa o: Patient Health Questionnarie (PHQ-9) de nove questões e as variáveis sociodemográficas, incluídas nos questionários de saúde, domiciliar e características de moradia, do ENDES 2019. Para o estudo estatístico, foi utilizado o modelo de regressão logística múltipla para verificar se havia associação entre depressão e variáveis sociodemográficas. Resultados: os resultados indicam que 15,3 por cento das pessoas com 60 anos ou mais apresentam um nível de depressão moderada, moderadamente grave e grave. Da mesma forma, verificou-se que a depressão e as variáveis sociodemográficas (escolaridade, diabetes, índice de riqueza, sexo e faixa etária) estão relacionadas; entretanto, não estão relacionados com as variáveis hábito de fumar, obesidade, ter companheiro e local de residência. Conclusões: a depressão está relacionada com algumas das variáveis sociodemográficas consideradas neste estudo. A depressão em idosos está se tornando um problema significativo de saúde pública, mais frequente em mulheres, idades avançadas, áreas rurais, níveis socioeconómicos baixos, níveis educacionais mais baixos, pressão arterial, deficiência e consumo problemático de álcool; condições que devem ser levadas em conta para a implementação de políticas públicas. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Revista Ciencias de la Salud is the property of Colegio Mayor de Nuestra Senora del Rosario and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.12804/revistas.urosario.edu.co/revsalud/a.13188
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        Text: Spanish
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    Subjects:
      – SubjectFull: DIABETES complications
        Type: general
      – SubjectFull: MENTAL depression risk factors
        Type: general
      – SubjectFull: RISK assessment
        Type: general
      – SubjectFull: CROSS-sectional method
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      – SubjectFull: STATISTICAL correlation
        Type: general
      – SubjectFull: QUESTIONNAIRES
        Type: general
      – SubjectFull: MULTIPLE regression analysis
        Type: general
      – SubjectFull: SOCIOECONOMIC factors
        Type: general
      – SubjectFull: SEX distribution
        Type: general
      – SubjectFull: HOME environment
        Type: general
      – SubjectFull: AGE distribution
        Type: general
      – SubjectFull: RESEARCH methodology
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      – SubjectFull: RESEARCH
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      – SubjectFull: SOCIODEMOGRAPHIC factors
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      – SubjectFull: PSYCHOSOCIAL factors
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      – SubjectFull: OLD age
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      – SubjectFull: PERU
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