Cargando…

The relationship between alexithymia, depression, anxiety, and stress in elderly with multiple chronic conditions in China: a network analysis

OBJECTIVE: This study aimed to construct a network structure to investigate the connections between alexithymia, depression, anxiety, and stress in Chinese older adults with multiple chronic conditions (MCC), identifying core and bridge symptoms, and comparing the network structure across different...

Descripción completa

Detalles Bibliográficos
Autores principales: Shang, Bin, Chen, Ruirui, Luo, Caifeng, Lv, Fei, Wu, Jing, Shao, Xiao, Li, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10389667/
https://www.ncbi.nlm.nih.gov/pubmed/37529068
http://dx.doi.org/10.3389/fpsyt.2023.1209936
_version_ 1785082353881710592
author Shang, Bin
Chen, Ruirui
Luo, Caifeng
Lv, Fei
Wu, Jing
Shao, Xiao
Li, Qian
author_facet Shang, Bin
Chen, Ruirui
Luo, Caifeng
Lv, Fei
Wu, Jing
Shao, Xiao
Li, Qian
author_sort Shang, Bin
collection PubMed
description OBJECTIVE: This study aimed to construct a network structure to investigate the connections between alexithymia, depression, anxiety, and stress in Chinese older adults with multiple chronic conditions (MCC), identifying core and bridge symptoms, and comparing the network structure across different levels of alexithymia. METHODS: This study used a cross-sectional survey design and convenience sampling to recruit participants from six cities in Jiangsu Province. The study assessed the levels of alexithymia, depression, anxiety, and stress in older adults with MCC using the Toronto Alexithymia Scale (TAS-20) and the Depression Anxiety and Stress Scale-21 (DASS-21). Network analysis was performed using R language to identify core and bridge symptoms in the network and compare the network structure across different levels of alexithymia. RESULTS: A total of 662 participants were included in the analysis, including 395 men and 267 women. The mean age was 70.37 ± 6.92 years. The finding revealed that the “Difficulty Identifying Feelings” (DIF) node had the highest strength centrality (strength = 2.49) and predictability (rp = 0.76) in the network. The next highest strength centrality was observed for “Meaningless” (strength = 1.50), “Agitated” (strength = 1.47), “Scared” (strength = 1.42), and “No look forward” (strength = 0.75). They were identified as core symptoms. The bridge strength analysis identified “Panic,” “Scared,” “No wind down,” “No initiative,” and “No positive” as the bridge symptoms. There were notable differences in the overall network structure and specific connections between the groups with and without alexithymia (p < 0.05). CONCLUSION: “DIF” is a core node in the network of older adults with MCC, indicating its significance as a potential target for psychological interventions in clinical practice. Preventing and mitigating bridge symptoms such as “panic,” “Scared,” “No wind down,” “No initiative,” and “No positive” can effectively impede the spread of symptom activation, thereby interrupting or severing the connections among comorbidities in older adults. Additionally, compared to non-alexithymia individuals, the psychological issues of older adults with alexithymia require prioritized intervention from healthcare professionals.
format Online
Article
Text
id pubmed-10389667
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-103896672023-08-01 The relationship between alexithymia, depression, anxiety, and stress in elderly with multiple chronic conditions in China: a network analysis Shang, Bin Chen, Ruirui Luo, Caifeng Lv, Fei Wu, Jing Shao, Xiao Li, Qian Front Psychiatry Psychiatry OBJECTIVE: This study aimed to construct a network structure to investigate the connections between alexithymia, depression, anxiety, and stress in Chinese older adults with multiple chronic conditions (MCC), identifying core and bridge symptoms, and comparing the network structure across different levels of alexithymia. METHODS: This study used a cross-sectional survey design and convenience sampling to recruit participants from six cities in Jiangsu Province. The study assessed the levels of alexithymia, depression, anxiety, and stress in older adults with MCC using the Toronto Alexithymia Scale (TAS-20) and the Depression Anxiety and Stress Scale-21 (DASS-21). Network analysis was performed using R language to identify core and bridge symptoms in the network and compare the network structure across different levels of alexithymia. RESULTS: A total of 662 participants were included in the analysis, including 395 men and 267 women. The mean age was 70.37 ± 6.92 years. The finding revealed that the “Difficulty Identifying Feelings” (DIF) node had the highest strength centrality (strength = 2.49) and predictability (rp = 0.76) in the network. The next highest strength centrality was observed for “Meaningless” (strength = 1.50), “Agitated” (strength = 1.47), “Scared” (strength = 1.42), and “No look forward” (strength = 0.75). They were identified as core symptoms. The bridge strength analysis identified “Panic,” “Scared,” “No wind down,” “No initiative,” and “No positive” as the bridge symptoms. There were notable differences in the overall network structure and specific connections between the groups with and without alexithymia (p < 0.05). CONCLUSION: “DIF” is a core node in the network of older adults with MCC, indicating its significance as a potential target for psychological interventions in clinical practice. Preventing and mitigating bridge symptoms such as “panic,” “Scared,” “No wind down,” “No initiative,” and “No positive” can effectively impede the spread of symptom activation, thereby interrupting or severing the connections among comorbidities in older adults. Additionally, compared to non-alexithymia individuals, the psychological issues of older adults with alexithymia require prioritized intervention from healthcare professionals. Frontiers Media S.A. 2023-07-17 /pmc/articles/PMC10389667/ /pubmed/37529068 http://dx.doi.org/10.3389/fpsyt.2023.1209936 Text en Copyright © 2023 Shang, Chen, Luo, Lv, Wu, Shao and Li. 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 Psychiatry
Shang, Bin
Chen, Ruirui
Luo, Caifeng
Lv, Fei
Wu, Jing
Shao, Xiao
Li, Qian
The relationship between alexithymia, depression, anxiety, and stress in elderly with multiple chronic conditions in China: a network analysis
title The relationship between alexithymia, depression, anxiety, and stress in elderly with multiple chronic conditions in China: a network analysis
title_full The relationship between alexithymia, depression, anxiety, and stress in elderly with multiple chronic conditions in China: a network analysis
title_fullStr The relationship between alexithymia, depression, anxiety, and stress in elderly with multiple chronic conditions in China: a network analysis
title_full_unstemmed The relationship between alexithymia, depression, anxiety, and stress in elderly with multiple chronic conditions in China: a network analysis
title_short The relationship between alexithymia, depression, anxiety, and stress in elderly with multiple chronic conditions in China: a network analysis
title_sort relationship between alexithymia, depression, anxiety, and stress in elderly with multiple chronic conditions in china: a network analysis
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10389667/
https://www.ncbi.nlm.nih.gov/pubmed/37529068
http://dx.doi.org/10.3389/fpsyt.2023.1209936
work_keys_str_mv AT shangbin therelationshipbetweenalexithymiadepressionanxietyandstressinelderlywithmultiplechronicconditionsinchinaanetworkanalysis
AT chenruirui therelationshipbetweenalexithymiadepressionanxietyandstressinelderlywithmultiplechronicconditionsinchinaanetworkanalysis
AT luocaifeng therelationshipbetweenalexithymiadepressionanxietyandstressinelderlywithmultiplechronicconditionsinchinaanetworkanalysis
AT lvfei therelationshipbetweenalexithymiadepressionanxietyandstressinelderlywithmultiplechronicconditionsinchinaanetworkanalysis
AT wujing therelationshipbetweenalexithymiadepressionanxietyandstressinelderlywithmultiplechronicconditionsinchinaanetworkanalysis
AT shaoxiao therelationshipbetweenalexithymiadepressionanxietyandstressinelderlywithmultiplechronicconditionsinchinaanetworkanalysis
AT liqian therelationshipbetweenalexithymiadepressionanxietyandstressinelderlywithmultiplechronicconditionsinchinaanetworkanalysis
AT shangbin relationshipbetweenalexithymiadepressionanxietyandstressinelderlywithmultiplechronicconditionsinchinaanetworkanalysis
AT chenruirui relationshipbetweenalexithymiadepressionanxietyandstressinelderlywithmultiplechronicconditionsinchinaanetworkanalysis
AT luocaifeng relationshipbetweenalexithymiadepressionanxietyandstressinelderlywithmultiplechronicconditionsinchinaanetworkanalysis
AT lvfei relationshipbetweenalexithymiadepressionanxietyandstressinelderlywithmultiplechronicconditionsinchinaanetworkanalysis
AT wujing relationshipbetweenalexithymiadepressionanxietyandstressinelderlywithmultiplechronicconditionsinchinaanetworkanalysis
AT shaoxiao relationshipbetweenalexithymiadepressionanxietyandstressinelderlywithmultiplechronicconditionsinchinaanetworkanalysis
AT liqian relationshipbetweenalexithymiadepressionanxietyandstressinelderlywithmultiplechronicconditionsinchinaanetworkanalysis