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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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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:
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
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author Zhang, Hong
Yin, Yao
Wang, Huan
Han, Ying
Wang, Xia
Liu, Yi
Chen, Hong
author_facet Zhang, Hong
Yin, Yao
Wang, Huan
Han, Ying
Wang, Xia
Liu, Yi
Chen, Hong
author_sort Zhang, Hong
collection PubMed
description 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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spelling pubmed-82408602021-06-30 Identification of Self-Management Behavior Clusters Among People Living with HIV in China: A Latent Class Profile Analysis Zhang, Hong Yin, Yao Wang, Huan Han, Ying Wang, Xia Liu, Yi Chen, Hong Patient Prefer Adherence Original Research 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. Dove 2021-06-25 /pmc/articles/PMC8240860/ /pubmed/34211267 http://dx.doi.org/10.2147/PPA.S315432 Text en © 2021 Zhang et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Zhang, Hong
Yin, Yao
Wang, Huan
Han, Ying
Wang, Xia
Liu, Yi
Chen, Hong
Identification of Self-Management Behavior Clusters Among People Living with HIV in China: A Latent Class Profile Analysis
title Identification of Self-Management Behavior Clusters Among People Living with HIV in China: A Latent Class Profile Analysis
title_full Identification of Self-Management Behavior Clusters Among People Living with HIV in China: A Latent Class Profile Analysis
title_fullStr Identification of Self-Management Behavior Clusters Among People Living with HIV in China: A Latent Class Profile Analysis
title_full_unstemmed Identification of Self-Management Behavior Clusters Among People Living with HIV in China: A Latent Class Profile Analysis
title_short Identification of Self-Management Behavior Clusters Among People Living with HIV in China: A Latent Class Profile Analysis
title_sort identification of self-management behavior clusters among people living with hiv in china: a latent class profile analysis
topic Original Research
url 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
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