UM  > Faculty of Health Sciences  > Institute of Translational Medicine
Residential Collegefalse
Status已發表Published
Comparing network structures of depressive and anxiety symptoms between demographically-matched heart disease and heart disease free samples using propensity score matching: Findings from the Chinese Longitudinal Healthy Longevity Survey (CLHLS)
Lam, Mei Ieng1,2,3; Bai, Wei4; Feng, Yuan5; Zhang, Qinge5; Zhang, Yanbo6; Jackson, Todd7; Rao, Shu Ying2; Ho, Tin Ian2; Su, Zhaohui8; Cheung, Teris9; Lopes Lao, Edmundo Patricio10; Sha, Sha5; Xiang, Yu Tao2,3
2024-12-01
Source PublicationJournal of Psychosomatic Research
ISSN0022-3999
Volume187Pages:111910
Abstract

Background: Older adults with heart disease often experience higher rates of comorbid anxiety and depression. This study examined depression and anxiety network structures among older adults with heart disease and their heart disease free peers. Methods: Network analyses of secondary cross-sectional data from the 2017 to 2018 wave of CLHLS were used to construct groups of older adults with and without heart disease using propensity score matching. Depression and anxiety symptoms were assessed using Center for Epidemiological Studies Depression Scale and Generalized Anxiety Disorder Scale, respectively. Central symptoms and bridge symptoms were identified using expected influence. Results: 1689 older adults with heart disease and matched control sample of 1689 older adults without heart disease were included. The prevalence and severity of depression and anxiety were significantly higher in older adults with heart disease compared to the control group. There was no significant difference in overall structures of depression and anxiety network models between two the groups. Key central symptoms and bridge symptoms within these groups were highly similar; GAD 2 “Uncontrollable worrying” and GAD 4 “Trouble relaxing” were identified as the most central symptoms, while GAD 1 “Nervousness” and CESD 1 “Feeling bothered” were identified as key bridge symptoms across both network models. Conclusion: Depression and anxiety are more prevalent in older adults with heart disease than demographically-matched heart disease free controls. However, network structures of these symptoms do not differ between two groups. Accordingly, depression and anxiety psychosocial interventions developed for older adults without heart disease may also benefit older adults with heart disease.

KeywordAnxiety Depression Heart Disease Network Analysis Older Adults
DOI10.1016/j.jpsychores.2024.111910
URLView the original
Indexed BySCIE ; SSCI
Language英語English
WOS Research AreaPsychiatry
WOS SubjectPsychiatry
WOS IDWOS:001313613200001
PublisherPERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
Scopus ID2-s2.0-85203430137
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionInstitute of Translational Medicine
DEPARTMENT OF PSYCHOLOGY
DEPARTMENT OF PUBLIC HEALTH AND MEDICINAL ADMINISTRATION
Corresponding AuthorSha, Sha; Xiang, Yu Tao
Affiliation1.Kiang Wu Nursing College of Macau, Macao
2.Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao
3.Centre for Cognitive and Brain Sciences, University of Macau, Macao
4.Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 1163 Xinmin Street, 130021, China
5.Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
6.Adult Surgical ICU, Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100037, China
7.Department of Psychology, University of Macau, Macao
8.School of Public Health, Southeast University, Nanjing, China
9.School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China
10.Department of Cardiology, Conde de São Januário General Hospital, Macao Health Bureau, Macao
First Author AffilicationFaculty of Health Sciences;  University of Macau
Corresponding Author AffilicationFaculty of Health Sciences;  University of Macau
Recommended Citation
GB/T 7714
Lam, Mei Ieng,Bai, Wei,Feng, Yuan,et al. Comparing network structures of depressive and anxiety symptoms between demographically-matched heart disease and heart disease free samples using propensity score matching: Findings from the Chinese Longitudinal Healthy Longevity Survey (CLHLS)[J]. Journal of Psychosomatic Research, 2024, 187, 111910.
APA Lam, Mei Ieng., Bai, Wei., Feng, Yuan., Zhang, Qinge., Zhang, Yanbo., Jackson, Todd., Rao, Shu Ying., Ho, Tin Ian., Su, Zhaohui., Cheung, Teris., Lopes Lao, Edmundo Patricio., Sha, Sha., & Xiang, Yu Tao (2024). Comparing network structures of depressive and anxiety symptoms between demographically-matched heart disease and heart disease free samples using propensity score matching: Findings from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Journal of Psychosomatic Research, 187, 111910.
MLA Lam, Mei Ieng,et al."Comparing network structures of depressive and anxiety symptoms between demographically-matched heart disease and heart disease free samples using propensity score matching: Findings from the Chinese Longitudinal Healthy Longevity Survey (CLHLS)".Journal of Psychosomatic Research 187(2024):111910.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Lam, Mei Ieng]'s Articles
[Bai, Wei]'s Articles
[Feng, Yuan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Lam, Mei Ieng]'s Articles
[Bai, Wei]'s Articles
[Feng, Yuan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Lam, Mei Ieng]'s Articles
[Bai, Wei]'s Articles
[Feng, Yuan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.