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Updated: Jan 8, 2026

Frailty Assessment in an Aging Mouse Model
Published on: September 23, 2025
Exploring factors contributing to frailty in Chinese patients with rheumatoid arthritis: Validation of a tailored
Bingxin Ma1, Yan Kan2, Jie Lv3
1Intelligent Nursing Research Center, Tianjin Medical University, Tianjin, China; School of Nursing, Tianjin Medical University, Tianjin, China.
Aims:
To identify the factors associated with frailty in Chinese participants with rheumatoid arthritis (RA), guided by the health ecology theory, and to provide a culturally adapted and psychometrically validated Chinese version of the Comprehensive Rheumatologic Assessment of Frailty (CRAF) to support context-specific assessments in clinical practice.
Methods:
This cross-sectional study involved the translation and cultural adaptation of the CRAF using a modified Brislin method. Psychometric properties were evaluated, and factors associated with frailty were identified through multivariate ordered logistic regression, guided by the health ecology theory.
Results:
A total of 1288 RA participants were recruited. The Cronbach's alpha for the Chinese CRAF was 0.75, and the intraclass correlation coefficient was 0.92. The Item-content validity index (CVI) ranged from 0.80 to 1.00, with an average CVI of 0.92. A significant positive correlation between the CRAF and the FRAIL Scale was found (P < 0.001), with the CRAF demonstrating better discriminatory power than the FRAIL scale (P = 0.041). Factors significantly associated with frailty included disease duration, pain intensity, limitations in physical function, the use of methotrexate, non-steroidal anti-inflammatory drugs, glucocorticoids, and biologic disease-modifying antirheumatic drugs, as well as comorbidities such as hypertension, diabetes, cardiovascular disease, stroke/transient ischemic attack, pulmonary disease, diminished grip strength, smoking, depression, and lack of social participation.
Conclusion:
The Chinese version of the CRAF is a reliable and valid tool for assessing frailty in RA participants. Targeted interventions addressing the identified risk factors may help prevent or delay frailty progression, ultimately improving prognosis and quality of life.
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