Validation and Refinement of the Self-Regulatory HIV/AIDS Symptom Management Model Among People With HIV in China Using Path Analysis: A Secondary Data Analysis
This study explored the path affecting the quality of life (QOL) of people with HIV in China and clarified the applicability and interpretability of the Self-Regulatory HIV/AIDS Symptom Management Model. We conducted a cross-sectional survey in nine regions of China and collected information about demographics, symptom experience, social support, perceived symptom manageability, self-efficacy, and QOL. A total of 711 patients participated in this survey. After four rounds of path analysis were conducted, the most fit indices met the standards (χ 2 /df = 2.633, Root Mean Square Error of Approximation = 0.081, Goodness-of-Fit Index/Adjusted Goodness-of-Fit Index/Comparative Fit Index/Incremental Fit Index/Tucker-Lewis Coefficient > 0.9), and the relationships between variables were statistically significant ( p < .05). Among all the pathways, social support had the most significant impact on the QOL, with a total path coefficient of 0.665. Symptom experience, as a negative factor, had a total effect value of -0.361. This study showed how all the factors influencing QOL were interconnected, serving as a crucial theoretical foundation for intervention strategies in future clinical practice.
Authors
- Meilian Xie (ORCID: https://orcid.org/0000-0002-1531-7698)
- Kerong Wang
- Yanping Yu
- Aiping Wang (ORCID: https://orcid.org/0000-0003-1661-8174)
- Zhiyun Zhang (ORCID: https://orcid.org/0009-0008-0095-6236)
Institutions
- First Hospital of China Medical University (CN)
- Beijing Ditan Hospital (CN)
- China Medical University (CN)
Publication Details
- Journal
- Journal of the Association of Nurses in AIDS Care
- Published
- 2024-08-13
- DOI
- https://doi.org/10.1097/jnc.0000000000000493
- Citations
- 3
- Primary Topic
- HIV/AIDS Research and Interventions
- Type
- article
- Field-Weighted Citation Impact
- 1.17
Funders
- Strong
- China Medical University
- NIH Clinical Center