Psycho-social dimensions of cardiovascular risk: exploring the impact of social isolation and loneliness in middle-aged and older adults.


Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
29 Aug 2024
Historique:
received: 03 03 2024
accepted: 26 08 2024
medline: 31 8 2024
pubmed: 31 8 2024
entrez: 29 8 2024
Statut: epublish

Résumé

Cardiovascular disease (CVD) is a major health concern for middle-aged and older adults, with lifestyle and metabolic risk factors well-studied. However, the role of psychosocial factors in CVD remains underexplored. This study aims to delve into the connection between psychosocial factors and the occurrence of CVD. We utilized data from the UK Biobank, a large-scale study covering adults aged 38 to 73 recruited from various centers across the UK between 2006 and 2010. We employed Cox proportional hazards models to analyze the relationship between social isolation, loneliness, and incident CVD. CVD diagnoses were confirmed through hospital records and death-register data. Additionally, we conducted mediation analyses to assess the impact of low-grade inflammation. The study encompassed 427,942 participants free from CVD, 55.8% of whom are women. High levels of social isolation and loneliness were linked to a higher risk of CVD (HRs 1.11, 95% CI 1.06-1.16; HRs 1.17, 95% CI 1.11-1.23). Depression also emerged as a predictor of CVD onset (HRs 1.25, 95% CI 1.19-1.31), with each psychosocial factor independently contributing to increased CVD risk. Mediation analyses pinpointed inflammation as a crucial mediator, especially for loneliness (indirect effect proportion: 4.7%). This study underscores the significance of psychosocial factors in relation to CVD. Integrating assessments for social isolation, loneliness, and depression into routine healthcare could potentially aid in CVD prevention among middle-aged and elderly individuals. This study underscores the significance of psychosocial factors in relation to CVD, emphasizing the association between social isolation or loneliness and the heightened risk of CVD.

Sections du résumé

BACKGROUND BACKGROUND
Cardiovascular disease (CVD) is a major health concern for middle-aged and older adults, with lifestyle and metabolic risk factors well-studied. However, the role of psychosocial factors in CVD remains underexplored.
OBJECTIVE OBJECTIVE
This study aims to delve into the connection between psychosocial factors and the occurrence of CVD.
METHODS METHODS
We utilized data from the UK Biobank, a large-scale study covering adults aged 38 to 73 recruited from various centers across the UK between 2006 and 2010. We employed Cox proportional hazards models to analyze the relationship between social isolation, loneliness, and incident CVD. CVD diagnoses were confirmed through hospital records and death-register data. Additionally, we conducted mediation analyses to assess the impact of low-grade inflammation.
RESULTS RESULTS
The study encompassed 427,942 participants free from CVD, 55.8% of whom are women. High levels of social isolation and loneliness were linked to a higher risk of CVD (HRs 1.11, 95% CI 1.06-1.16; HRs 1.17, 95% CI 1.11-1.23). Depression also emerged as a predictor of CVD onset (HRs 1.25, 95% CI 1.19-1.31), with each psychosocial factor independently contributing to increased CVD risk. Mediation analyses pinpointed inflammation as a crucial mediator, especially for loneliness (indirect effect proportion: 4.7%).
CONCLUSIONS CONCLUSIONS
This study underscores the significance of psychosocial factors in relation to CVD. Integrating assessments for social isolation, loneliness, and depression into routine healthcare could potentially aid in CVD prevention among middle-aged and elderly individuals. This study underscores the significance of psychosocial factors in relation to CVD, emphasizing the association between social isolation or loneliness and the heightened risk of CVD.

Identifiants

pubmed: 39210322
doi: 10.1186/s12889-024-19885-w
pii: 10.1186/s12889-024-19885-w
pmc: PMC11363651
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2355

Subventions

Organisme : Natural Science Foundation of Zhejiang Province
ID : No.LTGY23H260009
Organisme : Natural Science Foundation of Zhejiang Province
ID : No.LTGY23H260009
Organisme : Natural Science Foundation of Zhejiang Province
ID : No.LTGY23H260009
Organisme : Natural Science Foundation of Zhejiang Province
ID : No.LTGY23H260009
Organisme : Natural Science Foundation of Zhejiang Province
ID : No.LTGY23H260009
Organisme : Natural Science Foundation of Zhejiang Province
ID : No.LTGY23H260009
Organisme : Natural Science Foundation of Zhejiang Province
ID : No.LTGY23H260009
Organisme : Natural Science Foundation of Zhejiang Province
ID : No.LTGY23H260009
Organisme : Zhejiang Province Key Science and Technology Plan for Medicine and Health
ID : No. WKJ-ZJ-2333
Organisme : Zhejiang Province Key Science and Technology Plan for Medicine and Health
ID : No. WKJ-ZJ-2333
Organisme : Zhejiang Province Key Science and Technology Plan for Medicine and Health
ID : No. WKJ-ZJ-2333
Organisme : Zhejiang Province Key Science and Technology Plan for Medicine and Health
ID : No. WKJ-ZJ-2333
Organisme : Zhejiang Province Key Science and Technology Plan for Medicine and Health
ID : No. WKJ-ZJ-2333
Organisme : Zhejiang Province Key Science and Technology Plan for Medicine and Health
ID : No. WKJ-ZJ-2333
Organisme : Zhejiang Province Key Science and Technology Plan for Medicine and Health
ID : No. WKJ-ZJ-2333
Organisme : Zhejiang Province Key Science and Technology Plan for Medicine and Health
ID : No. WKJ-ZJ-2333

Informations de copyright

© 2024. The Author(s).

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Auteurs

Lilu Ding (L)

Department of Epidemiology and Health Statistics, School of Public Health, Hangzhou Medical College, 481 Binwen Road, Hangzhou, 310053, China.

Ruoqi Dai (R)

Department of Epidemiology and Health Statistics, School of Public Health, Hangzhou Medical College, 481 Binwen Road, Hangzhou, 310053, China.

Jing Qian (J)

Department of Epidemiology and Health Statistics, School of Public Health, Hangzhou Medical College, 481 Binwen Road, Hangzhou, 310053, China.

Hui Zhang (H)

Department of Epidemiology and Health Statistics, School of Public Health, Hangzhou Medical College, 481 Binwen Road, Hangzhou, 310053, China.

Jingyou Miao (J)

Department of Epidemiology and Health Statistics, School of Public Health, Hangzhou Medical College, 481 Binwen Road, Hangzhou, 310053, China.

Jing Wang (J)

Department of Epidemiology and Health Statistics, School of Public Health, Hangzhou Medical College, 481 Binwen Road, Hangzhou, 310053, China.

Xiao Tan (X)

Department of Big Data in Health Science, Zhejiang University School of Public Health and Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Department of Medical Sciences, Uppsala University, Uppsala, Sweden.

Yingjun Li (Y)

Department of Epidemiology and Health Statistics, School of Public Health, Hangzhou Medical College, 481 Binwen Road, Hangzhou, 310053, China. 2016034036@hmc.edu.cn.

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