Cargando…
Changes in health inequalities for patients with diabetes among middle-aged and elderly in China from 2011 to 2015
BACKGROUND: The purpose of this paper is to measure income-related health inequality among middle-aged and elderly patients with diabetes in China from 2011 to 2015 and to investigate factors that might be related to this inequality. METHODS: The data for this study were obtained from the China Heal...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7405442/ https://www.ncbi.nlm.nih.gov/pubmed/32758213 http://dx.doi.org/10.1186/s12913-020-05609-4 |
_version_ | 1783567250704302080 |
---|---|
author | Cao, Guizhen Cui, Zhizhen Ma, Qinghua Wang, Congju Xu, Yong Sun, Hongpeng Ma, Yana |
author_facet | Cao, Guizhen Cui, Zhizhen Ma, Qinghua Wang, Congju Xu, Yong Sun, Hongpeng Ma, Yana |
author_sort | Cao, Guizhen |
collection | PubMed |
description | BACKGROUND: The purpose of this paper is to measure income-related health inequality among middle-aged and elderly patients with diabetes in China from 2011 to 2015 and to investigate factors that might be related to this inequality. METHODS: The data for this study were obtained from the China Health and Retirement Longitudinal Study that was carried out in 2011, 2013 and 2015. In total, 48,519 Chinese middle-aged and elderly population were included (15,457 in 2011, 16,576 in 2013 and 16,486 in 2015). A principal component analysis was performed to measure asset-based economic status. The concentration index was used to measure income-related inequality in patients with diabetes. Additionally, by used generalized linear model, we decomposed the concentration index to identify factors that explained wealth-related inequality in patients with diabetes. RESULTS: The prevalence of self-reported diabetes among middle-aged and elderly Chinese was 5.61, 7.49 and 8.99% in 2011, 2013 and 2015, respectively. The concentration indices and 95% confidence intervals for diabetes were 0.1359 (0.0525–0.0597), 0.1207 (0.0709–0.0789), 0.1021 (0.0855–0.0942) in 2011, 2013, and 2015, respectively, which are indicative of inequality that favors the rich. The decomposition of the concentration index showed that residence (39.38%), BMI (31.16%), education (7.28%), and region (6.09%) had positive contributions to the measured inequality in diabetes in China in 2015. Age (− 29.93%) had a negative contribution to inequality. CONCLUSION: The findings confirm a health inequality in diabetes that favor the rich. Furthermore, the inequality declined from 2011 to 2015. We suggest that policy and intervention strategies should be developed to alleviate this health inequality, such as narrow the gap between urban and rural areas by improving the urban-rural medical insurance scheme, implementing strategies to enhance hygiene health education, control obesity rate. |
format | Online Article Text |
id | pubmed-7405442 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74054422020-08-07 Changes in health inequalities for patients with diabetes among middle-aged and elderly in China from 2011 to 2015 Cao, Guizhen Cui, Zhizhen Ma, Qinghua Wang, Congju Xu, Yong Sun, Hongpeng Ma, Yana BMC Health Serv Res Research Article BACKGROUND: The purpose of this paper is to measure income-related health inequality among middle-aged and elderly patients with diabetes in China from 2011 to 2015 and to investigate factors that might be related to this inequality. METHODS: The data for this study were obtained from the China Health and Retirement Longitudinal Study that was carried out in 2011, 2013 and 2015. In total, 48,519 Chinese middle-aged and elderly population were included (15,457 in 2011, 16,576 in 2013 and 16,486 in 2015). A principal component analysis was performed to measure asset-based economic status. The concentration index was used to measure income-related inequality in patients with diabetes. Additionally, by used generalized linear model, we decomposed the concentration index to identify factors that explained wealth-related inequality in patients with diabetes. RESULTS: The prevalence of self-reported diabetes among middle-aged and elderly Chinese was 5.61, 7.49 and 8.99% in 2011, 2013 and 2015, respectively. The concentration indices and 95% confidence intervals for diabetes were 0.1359 (0.0525–0.0597), 0.1207 (0.0709–0.0789), 0.1021 (0.0855–0.0942) in 2011, 2013, and 2015, respectively, which are indicative of inequality that favors the rich. The decomposition of the concentration index showed that residence (39.38%), BMI (31.16%), education (7.28%), and region (6.09%) had positive contributions to the measured inequality in diabetes in China in 2015. Age (− 29.93%) had a negative contribution to inequality. CONCLUSION: The findings confirm a health inequality in diabetes that favor the rich. Furthermore, the inequality declined from 2011 to 2015. We suggest that policy and intervention strategies should be developed to alleviate this health inequality, such as narrow the gap between urban and rural areas by improving the urban-rural medical insurance scheme, implementing strategies to enhance hygiene health education, control obesity rate. BioMed Central 2020-08-05 /pmc/articles/PMC7405442/ /pubmed/32758213 http://dx.doi.org/10.1186/s12913-020-05609-4 Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Article Cao, Guizhen Cui, Zhizhen Ma, Qinghua Wang, Congju Xu, Yong Sun, Hongpeng Ma, Yana Changes in health inequalities for patients with diabetes among middle-aged and elderly in China from 2011 to 2015 |
title | Changes in health inequalities for patients with diabetes among middle-aged and elderly in China from 2011 to 2015 |
title_full | Changes in health inequalities for patients with diabetes among middle-aged and elderly in China from 2011 to 2015 |
title_fullStr | Changes in health inequalities for patients with diabetes among middle-aged and elderly in China from 2011 to 2015 |
title_full_unstemmed | Changes in health inequalities for patients with diabetes among middle-aged and elderly in China from 2011 to 2015 |
title_short | Changes in health inequalities for patients with diabetes among middle-aged and elderly in China from 2011 to 2015 |
title_sort | changes in health inequalities for patients with diabetes among middle-aged and elderly in china from 2011 to 2015 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7405442/ https://www.ncbi.nlm.nih.gov/pubmed/32758213 http://dx.doi.org/10.1186/s12913-020-05609-4 |
work_keys_str_mv | AT caoguizhen changesinhealthinequalitiesforpatientswithdiabetesamongmiddleagedandelderlyinchinafrom2011to2015 AT cuizhizhen changesinhealthinequalitiesforpatientswithdiabetesamongmiddleagedandelderlyinchinafrom2011to2015 AT maqinghua changesinhealthinequalitiesforpatientswithdiabetesamongmiddleagedandelderlyinchinafrom2011to2015 AT wangcongju changesinhealthinequalitiesforpatientswithdiabetesamongmiddleagedandelderlyinchinafrom2011to2015 AT xuyong changesinhealthinequalitiesforpatientswithdiabetesamongmiddleagedandelderlyinchinafrom2011to2015 AT sunhongpeng changesinhealthinequalitiesforpatientswithdiabetesamongmiddleagedandelderlyinchinafrom2011to2015 AT mayana changesinhealthinequalitiesforpatientswithdiabetesamongmiddleagedandelderlyinchinafrom2011to2015 |