Cargando…

Analysis of Factors Influencing Depression in Elderly People Living with HIV/AIDS Based on Structural Equation Model: A Cross-Sectional Study in Guangxi, China

PURPOSE: The purpose of our study is to understand the current status of depression and medical social support in elderly HIV/AIDS, as well as the role of social support on depression, so as to provide a certain reference for reducing the occurrence of depression in the population. METHODS: A total...

Descripción completa

Detalles Bibliográficos
Autores principales: He, Kailian, Zhang, Xiashuang, Yang, Dong, Fu, Xiaofeng, Chen, Yulu, Chen, Ziqi, Mo, Jinglin, Zhou, Lingmi, Xu, Fang, Jiang, Xiuli, Shi, Wuxiang, Cao, Liang, Li, You
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238549/
https://www.ncbi.nlm.nih.gov/pubmed/37274427
http://dx.doi.org/10.2147/JMDH.S410538
_version_ 1785053318948585472
author He, Kailian
Zhang, Xiashuang
Yang, Dong
Fu, Xiaofeng
Chen, Yulu
Chen, Ziqi
Mo, Jinglin
Zhou, Lingmi
Xu, Fang
Jiang, Xiuli
Shi, Wuxiang
Cao, Liang
Li, You
author_facet He, Kailian
Zhang, Xiashuang
Yang, Dong
Fu, Xiaofeng
Chen, Yulu
Chen, Ziqi
Mo, Jinglin
Zhou, Lingmi
Xu, Fang
Jiang, Xiuli
Shi, Wuxiang
Cao, Liang
Li, You
author_sort He, Kailian
collection PubMed
description PURPOSE: The purpose of our study is to understand the current status of depression and medical social support in elderly HIV/AIDS, as well as the role of social support on depression, so as to provide a certain reference for reducing the occurrence of depression in the population. METHODS: A total of 115 participants with PLWHA (people living with HIV/AIDS) aged 50 years or older were collected in Guilin from December 2021 to July 2022. Depression and medical social support were assessed using the Center for Streaming Depression Scale (CES-D) and the Medical Social Support Scale (MOS-SSS). The structural equation model was used to examine the relationship between medical social support and depression. RESULTS: Sixty-one of 115 participants developed depressive symptoms with a prevalence of 53.0%. The results of univariate analysis showed that ethnicity, health status, mean monthly income, antiviral treatment status, and medical social support influenced PLWHA depression (P<0.05). Simple linear regression showed that health status (95% CI: −9.901~-2.635), and antiviral treatment status (95% CI: −12.969~-3.394) influent depression (P<0.05). There were associations between total medical social support, practical support dimension, message and emotional support dimension, social interactive cooperation dimension, emotional support dimension and depression (unadjusted and adjusted for contextual factors) (P < 0.05). Using multiple linear regression analyses, we found that medical-social support was negatively associated with depression with a standardized effect value of −0.223. PLWHA with higher medical social support had lower prevalence of depression. CONCLUSION: The results indicate that the prevalence of depression among HIV/AIDS patients in Guilin is high. So the joint efforts of individuals, families, and society are needed to improve the physical and mental health of the PLWHA.
format Online
Article
Text
id pubmed-10238549
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Dove
record_format MEDLINE/PubMed
spelling pubmed-102385492023-06-04 Analysis of Factors Influencing Depression in Elderly People Living with HIV/AIDS Based on Structural Equation Model: A Cross-Sectional Study in Guangxi, China He, Kailian Zhang, Xiashuang Yang, Dong Fu, Xiaofeng Chen, Yulu Chen, Ziqi Mo, Jinglin Zhou, Lingmi Xu, Fang Jiang, Xiuli Shi, Wuxiang Cao, Liang Li, You J Multidiscip Healthc Original Research PURPOSE: The purpose of our study is to understand the current status of depression and medical social support in elderly HIV/AIDS, as well as the role of social support on depression, so as to provide a certain reference for reducing the occurrence of depression in the population. METHODS: A total of 115 participants with PLWHA (people living with HIV/AIDS) aged 50 years or older were collected in Guilin from December 2021 to July 2022. Depression and medical social support were assessed using the Center for Streaming Depression Scale (CES-D) and the Medical Social Support Scale (MOS-SSS). The structural equation model was used to examine the relationship between medical social support and depression. RESULTS: Sixty-one of 115 participants developed depressive symptoms with a prevalence of 53.0%. The results of univariate analysis showed that ethnicity, health status, mean monthly income, antiviral treatment status, and medical social support influenced PLWHA depression (P<0.05). Simple linear regression showed that health status (95% CI: −9.901~-2.635), and antiviral treatment status (95% CI: −12.969~-3.394) influent depression (P<0.05). There were associations between total medical social support, practical support dimension, message and emotional support dimension, social interactive cooperation dimension, emotional support dimension and depression (unadjusted and adjusted for contextual factors) (P < 0.05). Using multiple linear regression analyses, we found that medical-social support was negatively associated with depression with a standardized effect value of −0.223. PLWHA with higher medical social support had lower prevalence of depression. CONCLUSION: The results indicate that the prevalence of depression among HIV/AIDS patients in Guilin is high. So the joint efforts of individuals, families, and society are needed to improve the physical and mental health of the PLWHA. Dove 2023-05-29 /pmc/articles/PMC10238549/ /pubmed/37274427 http://dx.doi.org/10.2147/JMDH.S410538 Text en © 2023 He et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
He, Kailian
Zhang, Xiashuang
Yang, Dong
Fu, Xiaofeng
Chen, Yulu
Chen, Ziqi
Mo, Jinglin
Zhou, Lingmi
Xu, Fang
Jiang, Xiuli
Shi, Wuxiang
Cao, Liang
Li, You
Analysis of Factors Influencing Depression in Elderly People Living with HIV/AIDS Based on Structural Equation Model: A Cross-Sectional Study in Guangxi, China
title Analysis of Factors Influencing Depression in Elderly People Living with HIV/AIDS Based on Structural Equation Model: A Cross-Sectional Study in Guangxi, China
title_full Analysis of Factors Influencing Depression in Elderly People Living with HIV/AIDS Based on Structural Equation Model: A Cross-Sectional Study in Guangxi, China
title_fullStr Analysis of Factors Influencing Depression in Elderly People Living with HIV/AIDS Based on Structural Equation Model: A Cross-Sectional Study in Guangxi, China
title_full_unstemmed Analysis of Factors Influencing Depression in Elderly People Living with HIV/AIDS Based on Structural Equation Model: A Cross-Sectional Study in Guangxi, China
title_short Analysis of Factors Influencing Depression in Elderly People Living with HIV/AIDS Based on Structural Equation Model: A Cross-Sectional Study in Guangxi, China
title_sort analysis of factors influencing depression in elderly people living with hiv/aids based on structural equation model: a cross-sectional study in guangxi, china
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238549/
https://www.ncbi.nlm.nih.gov/pubmed/37274427
http://dx.doi.org/10.2147/JMDH.S410538
work_keys_str_mv AT hekailian analysisoffactorsinfluencingdepressioninelderlypeoplelivingwithhivaidsbasedonstructuralequationmodelacrosssectionalstudyinguangxichina
AT zhangxiashuang analysisoffactorsinfluencingdepressioninelderlypeoplelivingwithhivaidsbasedonstructuralequationmodelacrosssectionalstudyinguangxichina
AT yangdong analysisoffactorsinfluencingdepressioninelderlypeoplelivingwithhivaidsbasedonstructuralequationmodelacrosssectionalstudyinguangxichina
AT fuxiaofeng analysisoffactorsinfluencingdepressioninelderlypeoplelivingwithhivaidsbasedonstructuralequationmodelacrosssectionalstudyinguangxichina
AT chenyulu analysisoffactorsinfluencingdepressioninelderlypeoplelivingwithhivaidsbasedonstructuralequationmodelacrosssectionalstudyinguangxichina
AT chenziqi analysisoffactorsinfluencingdepressioninelderlypeoplelivingwithhivaidsbasedonstructuralequationmodelacrosssectionalstudyinguangxichina
AT mojinglin analysisoffactorsinfluencingdepressioninelderlypeoplelivingwithhivaidsbasedonstructuralequationmodelacrosssectionalstudyinguangxichina
AT zhoulingmi analysisoffactorsinfluencingdepressioninelderlypeoplelivingwithhivaidsbasedonstructuralequationmodelacrosssectionalstudyinguangxichina
AT xufang analysisoffactorsinfluencingdepressioninelderlypeoplelivingwithhivaidsbasedonstructuralequationmodelacrosssectionalstudyinguangxichina
AT jiangxiuli analysisoffactorsinfluencingdepressioninelderlypeoplelivingwithhivaidsbasedonstructuralequationmodelacrosssectionalstudyinguangxichina
AT shiwuxiang analysisoffactorsinfluencingdepressioninelderlypeoplelivingwithhivaidsbasedonstructuralequationmodelacrosssectionalstudyinguangxichina
AT caoliang analysisoffactorsinfluencingdepressioninelderlypeoplelivingwithhivaidsbasedonstructuralequationmodelacrosssectionalstudyinguangxichina
AT liyou analysisoffactorsinfluencingdepressioninelderlypeoplelivingwithhivaidsbasedonstructuralequationmodelacrosssectionalstudyinguangxichina