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Predictors of Depression and Insomnia in Community-Dwelling Elderly People: A Cross-Sectional Evidence of Their Bidirectional Relationship

Objective The aim of this study was to examine associated factors of depression and insomnia in community-dwelling elderly people in order to identify independent predictors. Materials and methods A cross-sectional study was conducted among 250 older people aged 60 years and over living in an urban...

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Autores principales: Tsaras, Konstantinos, Tsiantoula, Maria, Papathanasiou, Ioanna V, Papagiannis, Dimitrios, Chatzi, Maria, Fradelos, Evangelos C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052590/
https://www.ncbi.nlm.nih.gov/pubmed/33880299
http://dx.doi.org/10.7759/cureus.13965
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author Tsaras, Konstantinos
Tsiantoula, Maria
Papathanasiou, Ioanna V
Papagiannis, Dimitrios
Chatzi, Maria
Fradelos, Evangelos C
author_facet Tsaras, Konstantinos
Tsiantoula, Maria
Papathanasiou, Ioanna V
Papagiannis, Dimitrios
Chatzi, Maria
Fradelos, Evangelos C
author_sort Tsaras, Konstantinos
collection PubMed
description Objective The aim of this study was to examine associated factors of depression and insomnia in community-dwelling elderly people in order to identify independent predictors. Materials and methods A cross-sectional study was conducted among 250 older people aged 60 years and over living in an urban area. A stratified random sampling method was used for recruiting samples from five Open Care Centers for Elderly People of the Municipality of Larissa, Greece. Data were obtained through a questionnaire that included demographic, socioeconomic, and health-related characteristics, 15-item Geriatric Depression Scale (GDS-15), and Athens Insomnia Scale (AIS). Simple and multiple logistic regression analysis was performed. Results The prevalence of depression and insomnia was 28.4% (95% CI: 22.9-33.9) and 39.2% (95% CI: 33.0-45.4), respectively. Our findings showed that the overall GDS-15 score was positively related to the overall AIS score (r = 0.405; p < 0.001). The best-fit regression analysis demonstrated four significant predictors (marital status, monthly income, body weight status, and insomnia) explaining 31.6% of the variance in depression risk. Moreover, community-dwelling elderly Greek people with insomnia symptoms were females, had a lower monthly income, and more likely to suffer from chronic diseases and depression. Conclusion These findings point to the importance of recognizing risk factors for both depression and insomnia in attempting to apply preventive interventions in the elderly and optimize their quality of life.
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spelling pubmed-80525902021-04-19 Predictors of Depression and Insomnia in Community-Dwelling Elderly People: A Cross-Sectional Evidence of Their Bidirectional Relationship Tsaras, Konstantinos Tsiantoula, Maria Papathanasiou, Ioanna V Papagiannis, Dimitrios Chatzi, Maria Fradelos, Evangelos C Cureus Psychiatry Objective The aim of this study was to examine associated factors of depression and insomnia in community-dwelling elderly people in order to identify independent predictors. Materials and methods A cross-sectional study was conducted among 250 older people aged 60 years and over living in an urban area. A stratified random sampling method was used for recruiting samples from five Open Care Centers for Elderly People of the Municipality of Larissa, Greece. Data were obtained through a questionnaire that included demographic, socioeconomic, and health-related characteristics, 15-item Geriatric Depression Scale (GDS-15), and Athens Insomnia Scale (AIS). Simple and multiple logistic regression analysis was performed. Results The prevalence of depression and insomnia was 28.4% (95% CI: 22.9-33.9) and 39.2% (95% CI: 33.0-45.4), respectively. Our findings showed that the overall GDS-15 score was positively related to the overall AIS score (r = 0.405; p < 0.001). The best-fit regression analysis demonstrated four significant predictors (marital status, monthly income, body weight status, and insomnia) explaining 31.6% of the variance in depression risk. Moreover, community-dwelling elderly Greek people with insomnia symptoms were females, had a lower monthly income, and more likely to suffer from chronic diseases and depression. Conclusion These findings point to the importance of recognizing risk factors for both depression and insomnia in attempting to apply preventive interventions in the elderly and optimize their quality of life. Cureus 2021-03-18 /pmc/articles/PMC8052590/ /pubmed/33880299 http://dx.doi.org/10.7759/cureus.13965 Text en Copyright © 2021, Tsaras et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Psychiatry
Tsaras, Konstantinos
Tsiantoula, Maria
Papathanasiou, Ioanna V
Papagiannis, Dimitrios
Chatzi, Maria
Fradelos, Evangelos C
Predictors of Depression and Insomnia in Community-Dwelling Elderly People: A Cross-Sectional Evidence of Their Bidirectional Relationship
title Predictors of Depression and Insomnia in Community-Dwelling Elderly People: A Cross-Sectional Evidence of Their Bidirectional Relationship
title_full Predictors of Depression and Insomnia in Community-Dwelling Elderly People: A Cross-Sectional Evidence of Their Bidirectional Relationship
title_fullStr Predictors of Depression and Insomnia in Community-Dwelling Elderly People: A Cross-Sectional Evidence of Their Bidirectional Relationship
title_full_unstemmed Predictors of Depression and Insomnia in Community-Dwelling Elderly People: A Cross-Sectional Evidence of Their Bidirectional Relationship
title_short Predictors of Depression and Insomnia in Community-Dwelling Elderly People: A Cross-Sectional Evidence of Their Bidirectional Relationship
title_sort predictors of depression and insomnia in community-dwelling elderly people: a cross-sectional evidence of their bidirectional relationship
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052590/
https://www.ncbi.nlm.nih.gov/pubmed/33880299
http://dx.doi.org/10.7759/cureus.13965
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