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Epidemiology of self-rated health in rural China: a population-based cross-sectional study

Self-rated health (SRH) has been shown to be a good predictor of mortality. Data on SRH and its associated factors in the Chinese general population are limited. This study aims to assess the epidemiology of SRH in rural Anyang, China. SRH (categorized as “healthy”, “fair” or “unhealthy”) was measur...

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Autores principales: Liu, Fangfang, Zhang, Chaoting, Liang, Yongmei, Deng, Qiuju, Hang, Dong, Pan, Yaqi, Li, Xiang, He, Zhonghu, Liu, Mengfei, Liu, Ying, Li, Jingjing, Ning, Tao, Guo, Chuanhai, Xu, Ruiping, Zhang, Lixin, Cai, Hong, Ke, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493681/
https://www.ncbi.nlm.nih.gov/pubmed/28667261
http://dx.doi.org/10.1038/s41598-017-04381-6
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author Liu, Fangfang
Zhang, Chaoting
Liang, Yongmei
Deng, Qiuju
Hang, Dong
Pan, Yaqi
Li, Xiang
He, Zhonghu
Liu, Mengfei
Liu, Ying
Li, Jingjing
Ning, Tao
Guo, Chuanhai
Xu, Ruiping
Zhang, Lixin
Cai, Hong
Ke, Yang
author_facet Liu, Fangfang
Zhang, Chaoting
Liang, Yongmei
Deng, Qiuju
Hang, Dong
Pan, Yaqi
Li, Xiang
He, Zhonghu
Liu, Mengfei
Liu, Ying
Li, Jingjing
Ning, Tao
Guo, Chuanhai
Xu, Ruiping
Zhang, Lixin
Cai, Hong
Ke, Yang
author_sort Liu, Fangfang
collection PubMed
description Self-rated health (SRH) has been shown to be a good predictor of mortality. Data on SRH and its associated factors in the Chinese general population are limited. This study aims to assess the epidemiology of SRH in rural Anyang, China. SRH (categorized as “healthy”, “fair” or “unhealthy”) was measured in a population-based study of 2,814 adults (including 697 couples) aged 25 to 69 who were recruited from rural Anyang in 2014. Of 2,814 subjects, 63.1% rated their health as “healthy”, whereas 28.1% and 8.8% rated their health as “fair” and “unhealthy”. Compared to males, females had a higher likelihood of reporting a better SRH. Health ratings declined with increasing age, unmarried status, lower education levels. Poor SRH was positively correlated with medical history as well as high levels of fasting plasma glucose and total cholesterol, but not with unhealthy lifestyle indicators including smoking, drinking, and obesity. High household income was predictive of better SRH in men but not in women. Among couples, a positive spousal SRH concordance was observed, although the strength of this concordance was low. These findings will be useful for formulation of appropriate strategies for improving risk perception and promoting general health in economically developing regions.
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spelling pubmed-54936812017-07-05 Epidemiology of self-rated health in rural China: a population-based cross-sectional study Liu, Fangfang Zhang, Chaoting Liang, Yongmei Deng, Qiuju Hang, Dong Pan, Yaqi Li, Xiang He, Zhonghu Liu, Mengfei Liu, Ying Li, Jingjing Ning, Tao Guo, Chuanhai Xu, Ruiping Zhang, Lixin Cai, Hong Ke, Yang Sci Rep Article Self-rated health (SRH) has been shown to be a good predictor of mortality. Data on SRH and its associated factors in the Chinese general population are limited. This study aims to assess the epidemiology of SRH in rural Anyang, China. SRH (categorized as “healthy”, “fair” or “unhealthy”) was measured in a population-based study of 2,814 adults (including 697 couples) aged 25 to 69 who were recruited from rural Anyang in 2014. Of 2,814 subjects, 63.1% rated their health as “healthy”, whereas 28.1% and 8.8% rated their health as “fair” and “unhealthy”. Compared to males, females had a higher likelihood of reporting a better SRH. Health ratings declined with increasing age, unmarried status, lower education levels. Poor SRH was positively correlated with medical history as well as high levels of fasting plasma glucose and total cholesterol, but not with unhealthy lifestyle indicators including smoking, drinking, and obesity. High household income was predictive of better SRH in men but not in women. Among couples, a positive spousal SRH concordance was observed, although the strength of this concordance was low. These findings will be useful for formulation of appropriate strategies for improving risk perception and promoting general health in economically developing regions. Nature Publishing Group UK 2017-06-30 /pmc/articles/PMC5493681/ /pubmed/28667261 http://dx.doi.org/10.1038/s41598-017-04381-6 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Liu, Fangfang
Zhang, Chaoting
Liang, Yongmei
Deng, Qiuju
Hang, Dong
Pan, Yaqi
Li, Xiang
He, Zhonghu
Liu, Mengfei
Liu, Ying
Li, Jingjing
Ning, Tao
Guo, Chuanhai
Xu, Ruiping
Zhang, Lixin
Cai, Hong
Ke, Yang
Epidemiology of self-rated health in rural China: a population-based cross-sectional study
title Epidemiology of self-rated health in rural China: a population-based cross-sectional study
title_full Epidemiology of self-rated health in rural China: a population-based cross-sectional study
title_fullStr Epidemiology of self-rated health in rural China: a population-based cross-sectional study
title_full_unstemmed Epidemiology of self-rated health in rural China: a population-based cross-sectional study
title_short Epidemiology of self-rated health in rural China: a population-based cross-sectional study
title_sort epidemiology of self-rated health in rural china: a population-based cross-sectional study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493681/
https://www.ncbi.nlm.nih.gov/pubmed/28667261
http://dx.doi.org/10.1038/s41598-017-04381-6
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