Identification of Self-Management Behavior Clusters Among People Living with HIV in China: A Latent Class Profile Analysis

BACKGROUND: Self-management directly affects the health outcomes and quality of life among people living with HIV (PLWH). A better understanding of self-management level will provide evidence for researchers to develop effective interventions. PURPOSE: This study aims to identify the latent classes...

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Detalles Bibliográficos
Autores principales: Zhang, Hong, Yin, Yao, Wang, Huan, Han, Ying, Wang, Xia, Liu, Yi, Chen, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240860/
https://www.ncbi.nlm.nih.gov/pubmed/34211267
http://dx.doi.org/10.2147/PPA.S315432
Descripción
Sumario:BACKGROUND: Self-management directly affects the health outcomes and quality of life among people living with HIV (PLWH). A better understanding of self-management level will provide evidence for researchers to develop effective interventions. PURPOSE: This study aims to identify the latent classes among PLWH in their levels of self-management behavior, and to explore the sociodemographic and disease-related predictors within these classes. MATERIALS AND METHODS: A total of 868 PLWH were recruited from August 2017 to January 2019 in Sichuan Province, China. A latent class profile analysis was used to identify participants’ self-management behavior, and multinomial logistic regression was used to explore the sociodemographic and disease-related predictors of the different latent classes. RESULTS: Model fit indices supported a three-class model. The mean self-management scores in the three classes were 23.56 (SD=6.02), 37.91 (SD=3.80), and 47.95 (SD=4.18), respectively. The latent classes were Class 1 (a poor level of self-management behavior, 12.1%, n=104), Class 2 (a moderate level of self-management behavior, 56.1%, n=491) and Class 3 (a good level of self-management behavior, 31.7%, n=273). Antiretroviral trerapy (ART) status, infection route, and educational level were the main predictors of self-management behavior. CONCLUSION: The findings indicated that the level of self-management behaviors among PLWH in China is inadequate. Those with a lower educational level, who were infected through blood/injecting drugs, and who were not receiving ART, showed a significantly lower level of self-management behavior. These results could help healthcare professionals to quickly recognize PLWH who are at a high risk of low-level self-management, using individual characteristics and could provide a scientific basis for the development of effective and targeted programs to improve self-management level in PLWH.

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