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Heterogenous subtypes of health literacy among individuals with Metabolic syndrome: a latent class analysis

Objective To explore the heterogenous subtypes and the associated factors of health literacy among patients with metabolic syndrome. Methods A cross-sectional study was conducted, and 337 patients with metabolic syndrome were recruited from Sir Run Run Shaw Hospital in Zhejiang Province from Decembe...

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Autores principales: Zhang, Hui, Chen, Dandan, Wu, Jingjie, Zou, Ping, Cui, Nianqi, Li, Dejie, Shao, Jing, Tang, Leiwen, Xue, Erxu, Ye, Zhihong, Wang, Xiyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10586064/
https://www.ncbi.nlm.nih.gov/pubmed/37851734
http://dx.doi.org/10.1080/07853890.2023.2268109
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author Zhang, Hui
Chen, Dandan
Wu, Jingjie
Zou, Ping
Cui, Nianqi
Li, Dejie
Shao, Jing
Tang, Leiwen
Xue, Erxu
Ye, Zhihong
Wang, Xiyi
author_facet Zhang, Hui
Chen, Dandan
Wu, Jingjie
Zou, Ping
Cui, Nianqi
Li, Dejie
Shao, Jing
Tang, Leiwen
Xue, Erxu
Ye, Zhihong
Wang, Xiyi
author_sort Zhang, Hui
collection PubMed
description Objective To explore the heterogenous subtypes and the associated factors of health literacy among patients with metabolic syndrome. Methods A cross-sectional study was conducted, and 337 patients with metabolic syndrome were recruited from Sir Run Run Shaw Hospital in Zhejiang Province from December 2021 to February 2022. The Social Support Questionnaire, Short version of the Health Literacy Scale European Questionnaire (HLS-EU-Q16), and MacArthur Scale of Subjective Social Status were used for investigation. Latent class analysis (LCA) was performed to explore the heterogenous subtypes of health literacy among Metabolic syndrome patients. Univariate analysis and logistic regression were used to identify the predictors of the latent classes. Results The findings of LCA suggested that three heterogeneous subtypes of health literacy among individuals with metabolic syndrome were identified: high levels of health literacy, moderate levels of health literacy, and low levels of health literacy. The multinomial logistic regression results indicated that compared with low levels of health literacy class, the high levels of health literacy class were predicted by age (OR 0.932, 95%CI[0.900-0.966]), socio-economic status (OR 1.185, 95%CI[1.058–1.328]), and social support (OR 1.065, 95%CI[1.012–1.120]). Compared with low levels of health literacy class, the moderate levels of health literacy class were predicted by age (OR 0.964, 95%CI[0.934–0.995]), socio-economic status (OR 1.118, 95%CI[1.006–1.242]), male (OR 0.229, 95%CI[0.092–0.576]). Conclusion The levels of health literacy among patients with metabolic syndrome can be divided into three heterogenous subtypes. The results can inform policy-makers and care professionals to design targeted interventions for different subgroups among patients with metabolic syndrome who are male, at older age, have less social support, and with disadvantaged socio-economic status to improve health literacy.
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spelling pubmed-105860642023-10-20 Heterogenous subtypes of health literacy among individuals with Metabolic syndrome: a latent class analysis Zhang, Hui Chen, Dandan Wu, Jingjie Zou, Ping Cui, Nianqi Li, Dejie Shao, Jing Tang, Leiwen Xue, Erxu Ye, Zhihong Wang, Xiyi Ann Med Public Health Objective To explore the heterogenous subtypes and the associated factors of health literacy among patients with metabolic syndrome. Methods A cross-sectional study was conducted, and 337 patients with metabolic syndrome were recruited from Sir Run Run Shaw Hospital in Zhejiang Province from December 2021 to February 2022. The Social Support Questionnaire, Short version of the Health Literacy Scale European Questionnaire (HLS-EU-Q16), and MacArthur Scale of Subjective Social Status were used for investigation. Latent class analysis (LCA) was performed to explore the heterogenous subtypes of health literacy among Metabolic syndrome patients. Univariate analysis and logistic regression were used to identify the predictors of the latent classes. Results The findings of LCA suggested that three heterogeneous subtypes of health literacy among individuals with metabolic syndrome were identified: high levels of health literacy, moderate levels of health literacy, and low levels of health literacy. The multinomial logistic regression results indicated that compared with low levels of health literacy class, the high levels of health literacy class were predicted by age (OR 0.932, 95%CI[0.900-0.966]), socio-economic status (OR 1.185, 95%CI[1.058–1.328]), and social support (OR 1.065, 95%CI[1.012–1.120]). Compared with low levels of health literacy class, the moderate levels of health literacy class were predicted by age (OR 0.964, 95%CI[0.934–0.995]), socio-economic status (OR 1.118, 95%CI[1.006–1.242]), male (OR 0.229, 95%CI[0.092–0.576]). Conclusion The levels of health literacy among patients with metabolic syndrome can be divided into three heterogenous subtypes. The results can inform policy-makers and care professionals to design targeted interventions for different subgroups among patients with metabolic syndrome who are male, at older age, have less social support, and with disadvantaged socio-economic status to improve health literacy. Taylor & Francis 2023-10-18 /pmc/articles/PMC10586064/ /pubmed/37851734 http://dx.doi.org/10.1080/07853890.2023.2268109 Text en © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
spellingShingle Public Health
Zhang, Hui
Chen, Dandan
Wu, Jingjie
Zou, Ping
Cui, Nianqi
Li, Dejie
Shao, Jing
Tang, Leiwen
Xue, Erxu
Ye, Zhihong
Wang, Xiyi
Heterogenous subtypes of health literacy among individuals with Metabolic syndrome: a latent class analysis
title Heterogenous subtypes of health literacy among individuals with Metabolic syndrome: a latent class analysis
title_full Heterogenous subtypes of health literacy among individuals with Metabolic syndrome: a latent class analysis
title_fullStr Heterogenous subtypes of health literacy among individuals with Metabolic syndrome: a latent class analysis
title_full_unstemmed Heterogenous subtypes of health literacy among individuals with Metabolic syndrome: a latent class analysis
title_short Heterogenous subtypes of health literacy among individuals with Metabolic syndrome: a latent class analysis
title_sort heterogenous subtypes of health literacy among individuals with metabolic syndrome: a latent class analysis
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10586064/
https://www.ncbi.nlm.nih.gov/pubmed/37851734
http://dx.doi.org/10.1080/07853890.2023.2268109
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