Important Dependency-Associated Community Resources among Elderly Individuals with a Low Level of Social Support in China

Background: The prevalence of dependency personality disorder is high among elderly individuals with a low level of social support. The objective of this study was to explore the dependency associated with important community resources among elderly individuals with a low level of social support fro...

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Autores principales: Li, Ying, Pan, Yiyang, Chen, Yuan, Cui, Pingyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967261/
https://www.ncbi.nlm.nih.gov/pubmed/33803141
http://dx.doi.org/10.3390/ijerph18052754
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author Li, Ying
Pan, Yiyang
Chen, Yuan
Cui, Pingyu
author_facet Li, Ying
Pan, Yiyang
Chen, Yuan
Cui, Pingyu
author_sort Li, Ying
collection PubMed
description Background: The prevalence of dependency personality disorder is high among elderly individuals with a low level of social support. The objective of this study was to explore the dependency associated with important community resources among elderly individuals with a low level of social support from the perspective of resource demand. Methods: The population-based cross-sectional study was conducted in 22 locations in China. A total of 950 participants aged ≥60 years were selected using a complex multistage sampling design. All the data were collected using questionnaires via face-to-face interviews. The dependency was assessed using the standardized Chinese version of the Minnesota Multiphasic Personality Inventory-II. Community resources were assessed using 43 items. Logistic regression analysis was used to evaluate the association between dependency and important community resources. Results: Bivariate analysis showed that the level of social support was negatively associated with levels of income (p < 0.001) and education (p = 0.008) and was positively associated with social communication and interactions (p < 0.001). The logistic regression analysis showed that the emergency call or survival monitoring system (ECSMS) was the most important community resource that was significantly associated with the levels of dependency; the odds ratio was 2.64 (95% CI, 1.07–3.91; p = 0.031) among elderly individuals with a low level of social support. Conclusions: The levels of dependency were most significantly associated with the ECSMS among elderly individuals with a low level of social support. Our results suggest that improving the ECSMS can be the main problem in the development of community resources.
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spelling pubmed-79672612021-03-18 Important Dependency-Associated Community Resources among Elderly Individuals with a Low Level of Social Support in China Li, Ying Pan, Yiyang Chen, Yuan Cui, Pingyu Int J Environ Res Public Health Article Background: The prevalence of dependency personality disorder is high among elderly individuals with a low level of social support. The objective of this study was to explore the dependency associated with important community resources among elderly individuals with a low level of social support from the perspective of resource demand. Methods: The population-based cross-sectional study was conducted in 22 locations in China. A total of 950 participants aged ≥60 years were selected using a complex multistage sampling design. All the data were collected using questionnaires via face-to-face interviews. The dependency was assessed using the standardized Chinese version of the Minnesota Multiphasic Personality Inventory-II. Community resources were assessed using 43 items. Logistic regression analysis was used to evaluate the association between dependency and important community resources. Results: Bivariate analysis showed that the level of social support was negatively associated with levels of income (p < 0.001) and education (p = 0.008) and was positively associated with social communication and interactions (p < 0.001). The logistic regression analysis showed that the emergency call or survival monitoring system (ECSMS) was the most important community resource that was significantly associated with the levels of dependency; the odds ratio was 2.64 (95% CI, 1.07–3.91; p = 0.031) among elderly individuals with a low level of social support. Conclusions: The levels of dependency were most significantly associated with the ECSMS among elderly individuals with a low level of social support. Our results suggest that improving the ECSMS can be the main problem in the development of community resources. MDPI 2021-03-09 /pmc/articles/PMC7967261/ /pubmed/33803141 http://dx.doi.org/10.3390/ijerph18052754 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Ying
Pan, Yiyang
Chen, Yuan
Cui, Pingyu
Important Dependency-Associated Community Resources among Elderly Individuals with a Low Level of Social Support in China
title Important Dependency-Associated Community Resources among Elderly Individuals with a Low Level of Social Support in China
title_full Important Dependency-Associated Community Resources among Elderly Individuals with a Low Level of Social Support in China
title_fullStr Important Dependency-Associated Community Resources among Elderly Individuals with a Low Level of Social Support in China
title_full_unstemmed Important Dependency-Associated Community Resources among Elderly Individuals with a Low Level of Social Support in China
title_short Important Dependency-Associated Community Resources among Elderly Individuals with a Low Level of Social Support in China
title_sort important dependency-associated community resources among elderly individuals with a low level of social support in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967261/
https://www.ncbi.nlm.nih.gov/pubmed/33803141
http://dx.doi.org/10.3390/ijerph18052754
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