Biopsychosocial Determinants of Frailty in Older People Living With HIV in China: A Bayesian Network Analysis

ABSTRACT: People living with HIV (PWH) experience accelerated aging and elevated frailty risk, representing the convergence of biological and psychosocial aging processes. We enrolled 665 PWH ages ≥50 years in a multicenter study in China. We examined the intersection of biological factors (e.g., CD4+ T-cell count, comorbidities), psychological factors (i.e., depression, anxiety), and social determinants in frailty development. A Bayesian network model was developed to characterize these complex interactions. Frailty prevalence was 17.1%. The Bayesian network identified depression as a central node connecting immune dysfunction to frailty through a CD4→anxiety→depression pathway. The model achieved robust performance (area under the curve = 0.879). Probability of frailty ranged from 1.4% in individuals aged 50-59 years without risk factors to 74.0% in those ages ≥70 years with depression and multiple comorbidities. This model offers clinicians a practical risk assessment tool for aging PWH and highlights depression as a modifiable target, supporting the integration of mental health screening in HIV geriatric care.

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Publication Details

Journal
Journal of the Association of Nurses in AIDS Care
Published
2026-06-16
DOI
https://doi.org/10.1097/jnc.0000000000000667
Primary Topic
Frailty in Older Adults
Type
article
Field-Weighted Citation Impact
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article

Biopsychosocial Determinants of Frailty in Older People Living With HIV in China: A Bayesian Network Analysis

Xiangming Zhan, Meijia Song, J Q Chen, Chad E. Forbes et al.
Journal of the Association of Nurses in AIDS Care
Frailty in Older Adults
article

Biopsychosocial Determinants of Frailty in Older People Living With HIV in China: A Bayesian Network Analysis

Xiangming Zhan, Meijia Song, J Q Chen, Chad E. Forbes, Angel B. Algarin, Hongzhou Lu
article en

Abstract

ABSTRACT: People living with HIV (PWH) experience accelerated aging and elevated frailty risk, representing the convergence of biological and psychosocial aging processes. We enrolled 665 PWH ages ≥50 years in a multicenter study in China. We examined the intersection of biological factors (e.g., CD4+ T-cell count, comorbidities), psychological factors (i.e., depression, anxiety), and social determinants in frailty development. A Bayesian network model was developed to characterize these complex interactions. Frailty prevalence was 17.1%. The Bayesian network identified depression as a central node connecting immune dysfunction to frailty through a CD4→anxiety→depression pathway. The model achieved robust performance (area under the curve = 0.879). Probability of frailty ranged from 1.4% in individuals aged 50-59 years without risk factors to 74.0% in those ages ≥70 years with depression and multiple comorbidities. This model offers clinicians a practical risk assessment tool for aging PWH and highlights depression as a modifiable target, supporting the integration of mental health screening in HIV geriatric care.

Journal of the Association of Nurses in AIDS Care
Arizona Department of Health Services (US), University of Minnesota (US), Shanghai Public Health Clinical Center (CN), Shenzhen Third People’s Hospital (CN), Arizona State University (US)
Good health and well-being
Openalex Percentile: Top 9%
Frailty in Older Adults
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