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Wang J, Yu Y, Xu L, Xie X, Liu X, Zhou J, Cheng G, Hu F, Liu D, Huang L, Han G, Li S, Song D, Liu J, Nie Q, Cai C, Cui Y, Tan W, Zeng Y. Social isolation in relation to the incidence and dynamic progression of frailty in the oldest old: a trajectory analysis of a nationwide cohort. BMC Public Health 2025; 25:1809. [PMID: 40380102 PMCID: PMC12083048 DOI: 10.1186/s12889-025-22596-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Accepted: 04/02/2025] [Indexed: 05/19/2025] Open
Abstract
BACKGROUND There is still a lack of evidence examining the association of behavioral and social factors with frailty transitions and mortality. We investigated whether social isolation is associated with different progressions and outcomes of frailty among community-dwelling older adults. METHODS This community-based cohort study assessed the frailty index and objective social isolation of 31,168 participants (58.3% female; average age: 88.1 ± 11.1 years) from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) from 1998 to 2018. Four Markov state-transition models were constructed to examine the associations between social isolation and the seven transitions of the frailty trajectory. RESULTS According to the Markov state-transition model, for every one-point increase in the social isolation score of non-frail participants, the risk of developing prefrailty increased by 4.2% [hazard ratio (HR) = 1.042, 95% confidence interval (CI): 1.007-1.079], whereas for prefrail participants, the risk of developing frailty and death increased by 3.9% (HR = 1.039, 95% CI: 1.007-1.073) and 16.1% (HR = 1.161, 95% CI: 1.099-1.226), respectively. For each increase in the social isolation score in the frail population, the risk of death increased by 2.9% (HR = 1.029, 95% CI: 1.004-1.054). Socially isolated persons had a greater cumulative transition probability to prefrailty and frailty. Socially isolated women were more likely to experience prefrailty and frailty than socially isolated men, whereas the latter were more likely to die from prefrailty and frailty than the former. CONCLUSIONS This study indicates that social isolation may contribute to an increased risk of both the incidence and progression of frailty, elevating deterioration risks in initially non-frail and prefrail populations, while primarily exacerbating mortality risks in those already experiencing prefrailty or frailty.
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Affiliation(s)
- Junyi Wang
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
| | - Yafu Yu
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
| | - Lang Xu
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
| | - Xinyan Xie
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
| | - Xiaochang Liu
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
| | - Juan Zhou
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
| | - Guirong Cheng
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
| | - Feifei Hu
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
| | - Dan Liu
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
| | - Linya Huang
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
| | - Gangbin Han
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
| | - Shiyue Li
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
| | - Dan Song
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
| | - Jing Liu
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
| | - Qianqian Nie
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
| | - Cheng Cai
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
| | - Yuyang Cui
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China
| | - Wei Tan
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
| | - Yan Zeng
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
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Hou C, Gong X, Bai D, Ji W, Chen H, Lu X, Chen X, Dong X, Gao J. Development and validation of the social frailty scale for the older adult in China. Front Public Health 2025; 13:1562211. [PMID: 40265073 PMCID: PMC12013530 DOI: 10.3389/fpubh.2025.1562211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2025] [Accepted: 03/03/2025] [Indexed: 04/24/2025] Open
Abstract
Objectives Existing social frailty instruments are not tailored to the linguistic and cultural characteristics of Chinese-speaking patients; a version addressing this gap will increase clinical understanding of their healthcare experience and may help guide social frailty. To develop a Chinese version of a Social Frailty Scale (CVSFS) for the older adult and to examine the psychometric properties of this instrument. Method Based on the recommendations of the COSMIN guidelines, the scale development inclued three phases: development of the initial scale, optimisation of scale items, and validation test for scale. The initial CVSFS 1.0 version was developed through literature review, semi-structured interviews, research team discussion, and Delphi method. Then, cross-sectional survey was conducted (n = 265) and scale items were optimized based on the survey results using item analysis and exploratory factor analysis (EFA) to form CVSFS 2.0 version. Lastly, the cross-sectional survey (n = 287) was repeated using CVSFS 2.0 version, and the reliability and validity of the scale's measurement properties were tested. Results The initial scale stage of development formed a 42-item CVSFS 1.0 version. After item analysis and EFA, six items were excluded to form a four-dimension with 36-item CVSFS 2.0 version including individual level, family level, interpersonal level, community and social level. The CVSFS 2.0 version demonstrated good reliability and validity, with a Cronbach's α coefficient of 0.926 and a McDonald's ω estimate of 0.931, split-half reliability of 0.928, and test-retest reliability of 0.978. The I-CVI of the scale was calculated to be 0.889~1.000, and the S-CVI/Ave was 0.930. Confirmatory factor analysis results indicated satisfactory fit indices: χ2/df = 2.17, GFI = 0.813, TLI = 0.932, CFI = 0.937, RMSEA = 0.064. Conclusions The CVSFS 2.0 version developed in this study based on a social-ecological framework has high reliability and validity, making it a suitable instrument for evaluating social frailty among the older adult in China.
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Affiliation(s)
| | | | | | | | | | | | | | - Xiaohui Dong
- College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Jing Gao
- College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
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Yan Z, Luan X, Meng L, Wu Y, Qu W, Zhang S, Wei H, Wu S. Longitudinal relationship between social participation, depressive symptoms, and activity impairment among older patients with arthritis: a moderated mediation analysis. BMC Geriatr 2024; 24:139. [PMID: 38326792 PMCID: PMC10851568 DOI: 10.1186/s12877-024-04735-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 01/22/2024] [Indexed: 02/09/2024] Open
Abstract
BACKGROUND Arthritis primarily affects older people and is a prominent cause of their activity impairment. This study aimed to examine the mediating role of depressive symptoms in the relationship between social participation and activity impairment, as well as to determine whether sex moderated the mediating effect. METHODS A total of 2247 older patients with arthritis were included from the China Health and Retirement Longitudinal Study between 2015 and 2018. We first examined a simple mediation model where depressive symptoms were a mediator between social participation and activity impairment. Furthermore, sex was systematically integrated into the model as a moderator. The mediation model and moderated mediation model were analyzed using PROCESS macro. RESULTS Mediation analysis revealed that the association between social participation and activity impairment was partially mediated by depressive symptoms (B = -0.10, 95% CI = [-0.14, -0.06]) with intermediary effect of 28.6%. Moderated mediation analysis indicated that mediation model was moderated by sex. The indirect effect of social participation on activity impairment among female patients (B = -0.15, 95% CI = [-0.21, -0.09]) was stronger than male patients (B = -0.04, 95% CI = [-0.09, -0.01]). CONCLUSION Social participation was the key protective factor associated with depressive symptoms and activity impairment among arthritis patients. Encouraging arthritis patients to social participation and improving the depressive symptoms might avoid activity impairment, especially for female patients.
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Affiliation(s)
- Zeping Yan
- School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, China
- Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
- University of Health and Rehabilitation Sciences, Qingdao, China
| | | | - LiJun Meng
- Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
| | - Yu Wu
- School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, China
- Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
- University of Health and Rehabilitation Sciences, Qingdao, China
| | - Wenran Qu
- School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Simeng Zhang
- School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Huimin Wei
- School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Shicai Wu
- Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China.
- University of Health and Rehabilitation Sciences, Qingdao, China.
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