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Predictors of Depression Level among Community-Dwelling Elderly Persons
Elderly people in the community have difficulty taking care of themselves because of their inability to care for themselves in daily life as well as their poor social support system, which leads to loneliness, resulting in depression. The primary objective was to investigate the level of depression...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9367993/ https://www.ncbi.nlm.nih.gov/pubmed/35954771 http://dx.doi.org/10.3390/ijerph19159414 |
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author | Liu, Chin-Chen Lin, Yi-Tung Cheng, Kung-Chuan Pan, Hsueh-Hsing Chiou, Chou-Ping |
author_facet | Liu, Chin-Chen Lin, Yi-Tung Cheng, Kung-Chuan Pan, Hsueh-Hsing Chiou, Chou-Ping |
author_sort | Liu, Chin-Chen |
collection | PubMed |
description | Elderly people in the community have difficulty taking care of themselves because of their inability to care for themselves in daily life as well as their poor social support system, which leads to loneliness, resulting in depression. The primary objective was to investigate the level of depression and related factors among community-dwelling elderly persons (CDEP). This was a cross-sectional study, and 150 participants were interviewed. The questionnaires included demographics, the Functional Independence Measure, the Interpersonal Support Evaluation List, the UCLA Loneliness Scale, and the Geriatric Depression Scale Short Form. It was found that participants with different levels of depression accounted for 26%, and education level, living status, chronic disease, daily life function, social support, and loneliness were all significant factors influencing the depression level among the CDEP that could significantly predict 63.4% of the variation in depression level. Nursing staff must understand the level of depression and its influencing factors, encourage the elderly in the community to increase social networks, and integrate leisure into their lives, thereby enhancing the sense of value and meaning of life and reducing feelings of loneliness and depression. |
format | Online Article Text |
id | pubmed-9367993 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93679932022-08-12 Predictors of Depression Level among Community-Dwelling Elderly Persons Liu, Chin-Chen Lin, Yi-Tung Cheng, Kung-Chuan Pan, Hsueh-Hsing Chiou, Chou-Ping Int J Environ Res Public Health Article Elderly people in the community have difficulty taking care of themselves because of their inability to care for themselves in daily life as well as their poor social support system, which leads to loneliness, resulting in depression. The primary objective was to investigate the level of depression and related factors among community-dwelling elderly persons (CDEP). This was a cross-sectional study, and 150 participants were interviewed. The questionnaires included demographics, the Functional Independence Measure, the Interpersonal Support Evaluation List, the UCLA Loneliness Scale, and the Geriatric Depression Scale Short Form. It was found that participants with different levels of depression accounted for 26%, and education level, living status, chronic disease, daily life function, social support, and loneliness were all significant factors influencing the depression level among the CDEP that could significantly predict 63.4% of the variation in depression level. Nursing staff must understand the level of depression and its influencing factors, encourage the elderly in the community to increase social networks, and integrate leisure into their lives, thereby enhancing the sense of value and meaning of life and reducing feelings of loneliness and depression. MDPI 2022-08-01 /pmc/articles/PMC9367993/ /pubmed/35954771 http://dx.doi.org/10.3390/ijerph19159414 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liu, Chin-Chen Lin, Yi-Tung Cheng, Kung-Chuan Pan, Hsueh-Hsing Chiou, Chou-Ping Predictors of Depression Level among Community-Dwelling Elderly Persons |
title | Predictors of Depression Level among Community-Dwelling Elderly Persons |
title_full | Predictors of Depression Level among Community-Dwelling Elderly Persons |
title_fullStr | Predictors of Depression Level among Community-Dwelling Elderly Persons |
title_full_unstemmed | Predictors of Depression Level among Community-Dwelling Elderly Persons |
title_short | Predictors of Depression Level among Community-Dwelling Elderly Persons |
title_sort | predictors of depression level among community-dwelling elderly persons |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9367993/ https://www.ncbi.nlm.nih.gov/pubmed/35954771 http://dx.doi.org/10.3390/ijerph19159414 |
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