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Examining income-related inequality in health literacy and health-information seeking among urban population in China
BACKGROUND: Health literacy and health-information seeking behaviour (HISB) play vital roles in health outcome improvements. This study examines the extent of income-related inequality in health literacy and health-information seeking as well as the contributions of the main socioeconomic determinan...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6385413/ https://www.ncbi.nlm.nih.gov/pubmed/30791882 http://dx.doi.org/10.1186/s12889-019-6538-2 |
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author | Tang, Chengxiang Wu, Xueji Chen, Xiongfei Pan, Bingying Yang, Xiaocong |
author_facet | Tang, Chengxiang Wu, Xueji Chen, Xiongfei Pan, Bingying Yang, Xiaocong |
author_sort | Tang, Chengxiang |
collection | PubMed |
description | BACKGROUND: Health literacy and health-information seeking behaviour (HISB) play vital roles in health outcome improvements. This study examines the extent of income-related inequality in health literacy and health-information seeking as well as the contributions of the main socioeconomic determinants in China. METHODS: We analysed representative data of participants aged over 18 years as well as older adults from the Guangzhou Community Health Survey. A concentration index (CI) was used to quantify the degree of income-related inequity in health literacy and health-information seeking. Probit regression models were employed to decompose the CI into the contributions to each factor. RESULTS: Results showed a significant pro-rich distribution of adequate health literacy (CI: 0.0602, P < 0.001; horizontal index [HI]: 0.0562, P < 0.001) and HISB from healthcare professionals (CI: 0.105, P < 0.001; HI: 0.0965, P < 0.001). The pro-rich distribution of health literacy was mainly attributable to education background (contribution: 54.76%), whereas income inequalities contributed most to the pro-rich distribution of health-information seeking among an urban population (contribution: 62.53%). CONCLUSION: Public interventions in China to reduce inequality in health literacy and HISBs among the urban population, coupled with easily accessible information sources on health, warrant further attention from policymakers. |
format | Online Article Text |
id | pubmed-6385413 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63854132019-03-01 Examining income-related inequality in health literacy and health-information seeking among urban population in China Tang, Chengxiang Wu, Xueji Chen, Xiongfei Pan, Bingying Yang, Xiaocong BMC Public Health Research Article BACKGROUND: Health literacy and health-information seeking behaviour (HISB) play vital roles in health outcome improvements. This study examines the extent of income-related inequality in health literacy and health-information seeking as well as the contributions of the main socioeconomic determinants in China. METHODS: We analysed representative data of participants aged over 18 years as well as older adults from the Guangzhou Community Health Survey. A concentration index (CI) was used to quantify the degree of income-related inequity in health literacy and health-information seeking. Probit regression models were employed to decompose the CI into the contributions to each factor. RESULTS: Results showed a significant pro-rich distribution of adequate health literacy (CI: 0.0602, P < 0.001; horizontal index [HI]: 0.0562, P < 0.001) and HISB from healthcare professionals (CI: 0.105, P < 0.001; HI: 0.0965, P < 0.001). The pro-rich distribution of health literacy was mainly attributable to education background (contribution: 54.76%), whereas income inequalities contributed most to the pro-rich distribution of health-information seeking among an urban population (contribution: 62.53%). CONCLUSION: Public interventions in China to reduce inequality in health literacy and HISBs among the urban population, coupled with easily accessible information sources on health, warrant further attention from policymakers. BioMed Central 2019-02-21 /pmc/articles/PMC6385413/ /pubmed/30791882 http://dx.doi.org/10.1186/s12889-019-6538-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Tang, Chengxiang Wu, Xueji Chen, Xiongfei Pan, Bingying Yang, Xiaocong Examining income-related inequality in health literacy and health-information seeking among urban population in China |
title | Examining income-related inequality in health literacy and health-information seeking among urban population in China |
title_full | Examining income-related inequality in health literacy and health-information seeking among urban population in China |
title_fullStr | Examining income-related inequality in health literacy and health-information seeking among urban population in China |
title_full_unstemmed | Examining income-related inequality in health literacy and health-information seeking among urban population in China |
title_short | Examining income-related inequality in health literacy and health-information seeking among urban population in China |
title_sort | examining income-related inequality in health literacy and health-information seeking among urban population in china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6385413/ https://www.ncbi.nlm.nih.gov/pubmed/30791882 http://dx.doi.org/10.1186/s12889-019-6538-2 |
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