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Network analysis of anxiety and depression in the functionally impaired elderly

BACKGROUND: Evidence from previous studies has confirmed that functionally impaired elderly individuals are susceptible to comorbid anxiety and depression. Network theory holds that the comorbidity emerges from interactions between anxiety and depression symptoms. This study aimed to investigate the...

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Autores principales: Yang, Tianqi, Guo, Zhihua, Cao, Xiaoqin, Zhu, Xia, Zhou, Qin, Li, Xinhong, Wang, Hui, Wang, Xiuchao, Wu, Lin, Wu, Shengjun, Liu, Xufeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751796/
https://www.ncbi.nlm.nih.gov/pubmed/36530716
http://dx.doi.org/10.3389/fpubh.2022.1067646
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author Yang, Tianqi
Guo, Zhihua
Cao, Xiaoqin
Zhu, Xia
Zhou, Qin
Li, Xinhong
Wang, Hui
Wang, Xiuchao
Wu, Lin
Wu, Shengjun
Liu, Xufeng
author_facet Yang, Tianqi
Guo, Zhihua
Cao, Xiaoqin
Zhu, Xia
Zhou, Qin
Li, Xinhong
Wang, Hui
Wang, Xiuchao
Wu, Lin
Wu, Shengjun
Liu, Xufeng
author_sort Yang, Tianqi
collection PubMed
description BACKGROUND: Evidence from previous studies has confirmed that functionally impaired elderly individuals are susceptible to comorbid anxiety and depression. Network theory holds that the comorbidity emerges from interactions between anxiety and depression symptoms. This study aimed to investigate the fine-grained relationships among anxiety and depression symptoms in the functionally impaired elderly and identify central and bridge symptoms to provide potential targets for intervention of these two comorbid disorders. METHODS: A total of 325 functionally impaired elderly individuals from five communities in Xi'an, China, were recruited for our investigation. The GAD-7 and PHQ-9 were used to measure anxiety and depression, respectively. SPSS 22.0 software was used for descriptive statistics, and R 4.1.1 software was used for network model construction, expected influence (EI) evaluation and bridge expected influence (BEI) evaluation. RESULTS: In the network, there were 35 edges (indicating partial correlations between symptoms) across the communities of anxiety and depression, among which the strongest edge was A1 “Nervousness or anxiety”-D2 “Depressed or sad mood.” A2 “Uncontrollable worry” and D2 “Depressed or sad mood” had the highest EI values in the network, while A6 “Irritable” and D7 “Concentration difficulties” had the highest BEI values of their respective community. In the flow network, the strongest direct edge of D9 “Thoughts of death” was with D6 “Feeling of worthlessness.” CONCLUSION: Complex fine-grained relationships exist between anxiety and depression in functionally impaired elderly individuals. “Uncontrollable worry,” “depressed or sad mood,” “irritable” and “concentration difficulties” are identified as the potential targets for intervention of anxiety and depression. Our study emphasizes the necessity of suicide prevention for functionally impaired elderly individuals, and the symptom “feeling of worthlessness” can be used as an effective target.
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spelling pubmed-97517962022-12-16 Network analysis of anxiety and depression in the functionally impaired elderly Yang, Tianqi Guo, Zhihua Cao, Xiaoqin Zhu, Xia Zhou, Qin Li, Xinhong Wang, Hui Wang, Xiuchao Wu, Lin Wu, Shengjun Liu, Xufeng Front Public Health Public Health BACKGROUND: Evidence from previous studies has confirmed that functionally impaired elderly individuals are susceptible to comorbid anxiety and depression. Network theory holds that the comorbidity emerges from interactions between anxiety and depression symptoms. This study aimed to investigate the fine-grained relationships among anxiety and depression symptoms in the functionally impaired elderly and identify central and bridge symptoms to provide potential targets for intervention of these two comorbid disorders. METHODS: A total of 325 functionally impaired elderly individuals from five communities in Xi'an, China, were recruited for our investigation. The GAD-7 and PHQ-9 were used to measure anxiety and depression, respectively. SPSS 22.0 software was used for descriptive statistics, and R 4.1.1 software was used for network model construction, expected influence (EI) evaluation and bridge expected influence (BEI) evaluation. RESULTS: In the network, there were 35 edges (indicating partial correlations between symptoms) across the communities of anxiety and depression, among which the strongest edge was A1 “Nervousness or anxiety”-D2 “Depressed or sad mood.” A2 “Uncontrollable worry” and D2 “Depressed or sad mood” had the highest EI values in the network, while A6 “Irritable” and D7 “Concentration difficulties” had the highest BEI values of their respective community. In the flow network, the strongest direct edge of D9 “Thoughts of death” was with D6 “Feeling of worthlessness.” CONCLUSION: Complex fine-grained relationships exist between anxiety and depression in functionally impaired elderly individuals. “Uncontrollable worry,” “depressed or sad mood,” “irritable” and “concentration difficulties” are identified as the potential targets for intervention of anxiety and depression. Our study emphasizes the necessity of suicide prevention for functionally impaired elderly individuals, and the symptom “feeling of worthlessness” can be used as an effective target. Frontiers Media S.A. 2022-12-01 /pmc/articles/PMC9751796/ /pubmed/36530716 http://dx.doi.org/10.3389/fpubh.2022.1067646 Text en Copyright © 2022 Yang, Guo, Cao, Zhu, Zhou, Li, Wang, Wang, Wu, Wu and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Yang, Tianqi
Guo, Zhihua
Cao, Xiaoqin
Zhu, Xia
Zhou, Qin
Li, Xinhong
Wang, Hui
Wang, Xiuchao
Wu, Lin
Wu, Shengjun
Liu, Xufeng
Network analysis of anxiety and depression in the functionally impaired elderly
title Network analysis of anxiety and depression in the functionally impaired elderly
title_full Network analysis of anxiety and depression in the functionally impaired elderly
title_fullStr Network analysis of anxiety and depression in the functionally impaired elderly
title_full_unstemmed Network analysis of anxiety and depression in the functionally impaired elderly
title_short Network analysis of anxiety and depression in the functionally impaired elderly
title_sort network analysis of anxiety and depression in the functionally impaired elderly
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751796/
https://www.ncbi.nlm.nih.gov/pubmed/36530716
http://dx.doi.org/10.3389/fpubh.2022.1067646
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