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How to make more people adopt healthy behaviors? Assessing health literacy, health promoting lifestyle and their association of community residents in Shenzhen, China

INTRODUCTION: Health literacy (HL) has been concerned a key factor for determining the use of health information and promoting health. The study aimed to explore the relationship between different health literacy types and health promoting lifestyle (HPL) in different health literacy population. MET...

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Autores principales: Zhang, Lei, Liao, Jia, Pan, Xueyan, Liang, Dongmei, Zeng, Jinmei, Sun, Mingwei, Luo, Xiaowen, Ma, Xingyu, Yin, Mingjuan, Ni, Jingdong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9423099/
https://www.ncbi.nlm.nih.gov/pubmed/36045727
http://dx.doi.org/10.3389/fpubh.2022.900883
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author Zhang, Lei
Liao, Jia
Pan, Xueyan
Liang, Dongmei
Zeng, Jinmei
Sun, Mingwei
Luo, Xiaowen
Ma, Xingyu
Yin, Mingjuan
Ni, Jingdong
author_facet Zhang, Lei
Liao, Jia
Pan, Xueyan
Liang, Dongmei
Zeng, Jinmei
Sun, Mingwei
Luo, Xiaowen
Ma, Xingyu
Yin, Mingjuan
Ni, Jingdong
author_sort Zhang, Lei
collection PubMed
description INTRODUCTION: Health literacy (HL) has been concerned a key factor for determining the use of health information and promoting health. The study aimed to explore the relationship between different health literacy types and health promoting lifestyle (HPL) in different health literacy population. METHODS: The survey analyzed a sample of 16,921 community residents in Shenzhen. The Chinese Citizen Health Literacy Questionnaire and health-promoting lifestyle profile II (HPLP- II) were used to assess health literacy and health promoting lifestyle. RESULTS: Participants were divided into different populations based on the correlation between HL and HPL. The low-HL and medium-HL populations were judged to lack health literacy, and demographic characteristics were significantly different between different HPL levels in low-HL and medium-HL populations. There were 6 types of HL, and health information literacy (β = 0.08, P < 0.001) and chronic disease literacy (β = 0.08, P < 0.001) positively predicted HPL in the low-HL population. In the medium-HL population, the results of reward and punishment analysis showed that health information was a basic factor, chronic disease was performance factor, medical care was a motivating factor for HPL; there were 6 dimensions of HPL, and health responsibility (HR), stress management (SM) and physical activity (PA) were not significantly different in medium-HL population. The results of regression analysis showed that HR and PA had a great impact on HPL (HR: β = 0.193, PA: β =0.179, β for other dimensions was 0.186, 0.176, 0.171, 0.164), but the HR and PA standardized scores were lowest in the HPL dimensions (HR: 69.42, PA: 68.5, lower than other dimensions), so it may be HR and PA that cause HPL unchanged between groups in the medium-HL population. CONCLUSIONS: Different HL levels have different relationships with HPL, and different HL types have different effects on HPL. Shenzhen community residents need to improve their HL, and they have great potentials for further progress to improve the population health. Public health policy makers need to consider formulating different policies for people with different HL levels.
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spelling pubmed-94230992022-08-30 How to make more people adopt healthy behaviors? Assessing health literacy, health promoting lifestyle and their association of community residents in Shenzhen, China Zhang, Lei Liao, Jia Pan, Xueyan Liang, Dongmei Zeng, Jinmei Sun, Mingwei Luo, Xiaowen Ma, Xingyu Yin, Mingjuan Ni, Jingdong Front Public Health Public Health INTRODUCTION: Health literacy (HL) has been concerned a key factor for determining the use of health information and promoting health. The study aimed to explore the relationship between different health literacy types and health promoting lifestyle (HPL) in different health literacy population. METHODS: The survey analyzed a sample of 16,921 community residents in Shenzhen. The Chinese Citizen Health Literacy Questionnaire and health-promoting lifestyle profile II (HPLP- II) were used to assess health literacy and health promoting lifestyle. RESULTS: Participants were divided into different populations based on the correlation between HL and HPL. The low-HL and medium-HL populations were judged to lack health literacy, and demographic characteristics were significantly different between different HPL levels in low-HL and medium-HL populations. There were 6 types of HL, and health information literacy (β = 0.08, P < 0.001) and chronic disease literacy (β = 0.08, P < 0.001) positively predicted HPL in the low-HL population. In the medium-HL population, the results of reward and punishment analysis showed that health information was a basic factor, chronic disease was performance factor, medical care was a motivating factor for HPL; there were 6 dimensions of HPL, and health responsibility (HR), stress management (SM) and physical activity (PA) were not significantly different in medium-HL population. The results of regression analysis showed that HR and PA had a great impact on HPL (HR: β = 0.193, PA: β =0.179, β for other dimensions was 0.186, 0.176, 0.171, 0.164), but the HR and PA standardized scores were lowest in the HPL dimensions (HR: 69.42, PA: 68.5, lower than other dimensions), so it may be HR and PA that cause HPL unchanged between groups in the medium-HL population. CONCLUSIONS: Different HL levels have different relationships with HPL, and different HL types have different effects on HPL. Shenzhen community residents need to improve their HL, and they have great potentials for further progress to improve the population health. Public health policy makers need to consider formulating different policies for people with different HL levels. Frontiers Media S.A. 2022-08-15 /pmc/articles/PMC9423099/ /pubmed/36045727 http://dx.doi.org/10.3389/fpubh.2022.900883 Text en Copyright © 2022 Zhang, Liao, Pan, Liang, Zeng, Sun, Luo, Ma, Yin and Ni. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Zhang, Lei
Liao, Jia
Pan, Xueyan
Liang, Dongmei
Zeng, Jinmei
Sun, Mingwei
Luo, Xiaowen
Ma, Xingyu
Yin, Mingjuan
Ni, Jingdong
How to make more people adopt healthy behaviors? Assessing health literacy, health promoting lifestyle and their association of community residents in Shenzhen, China
title How to make more people adopt healthy behaviors? Assessing health literacy, health promoting lifestyle and their association of community residents in Shenzhen, China
title_full How to make more people adopt healthy behaviors? Assessing health literacy, health promoting lifestyle and their association of community residents in Shenzhen, China
title_fullStr How to make more people adopt healthy behaviors? Assessing health literacy, health promoting lifestyle and their association of community residents in Shenzhen, China
title_full_unstemmed How to make more people adopt healthy behaviors? Assessing health literacy, health promoting lifestyle and their association of community residents in Shenzhen, China
title_short How to make more people adopt healthy behaviors? Assessing health literacy, health promoting lifestyle and their association of community residents in Shenzhen, China
title_sort how to make more people adopt healthy behaviors? assessing health literacy, health promoting lifestyle and their association of community residents in shenzhen, china
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9423099/
https://www.ncbi.nlm.nih.gov/pubmed/36045727
http://dx.doi.org/10.3389/fpubh.2022.900883
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