Association between multiple comorbidities and self-rated health status in middle-aged and elderly Chinese: the China Kadoorie Biobank study

Abstract Background Understanding the correlates of self-rated health (SRH) can help public health professionals prioritize health-promotion and disease-prevention interventions. This study aimed to investigate the association between multiple comorbidities and global SRH and age-comparative SRH. Me...

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Main Authors: Xingyue Song, Jing Wu, Canqing Yu, Wenhong Dong, Jun Lv, Yu Guo, Zheng Bian, Ling Yang, Yiping Chen, Zhengming Chen, An Pan, Liming Li, on behalf of the China Kadoorie Biobank Collaborative Group
Format: Article
Language:English
Published: BMC 2018-06-01
Series:BMC Public Health
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12889-018-5632-1
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language English
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author Xingyue Song
Jing Wu
Canqing Yu
Wenhong Dong
Jun Lv
Yu Guo
Zheng Bian
Ling Yang
Yiping Chen
Zhengming Chen
An Pan
Liming Li
on behalf of the China Kadoorie Biobank Collaborative Group
spellingShingle Xingyue Song
Jing Wu
Canqing Yu
Wenhong Dong
Jun Lv
Yu Guo
Zheng Bian
Ling Yang
Yiping Chen
Zhengming Chen
An Pan
Liming Li
on behalf of the China Kadoorie Biobank Collaborative Group
Association between multiple comorbidities and self-rated health status in middle-aged and elderly Chinese: the China Kadoorie Biobank study
BMC Public Health
Comorbidity
Self-rated health status
Cross-sectional study
Chinese population
author_facet Xingyue Song
Jing Wu
Canqing Yu
Wenhong Dong
Jun Lv
Yu Guo
Zheng Bian
Ling Yang
Yiping Chen
Zhengming Chen
An Pan
Liming Li
on behalf of the China Kadoorie Biobank Collaborative Group
author_sort Xingyue Song
title Association between multiple comorbidities and self-rated health status in middle-aged and elderly Chinese: the China Kadoorie Biobank study
title_short Association between multiple comorbidities and self-rated health status in middle-aged and elderly Chinese: the China Kadoorie Biobank study
title_full Association between multiple comorbidities and self-rated health status in middle-aged and elderly Chinese: the China Kadoorie Biobank study
title_fullStr Association between multiple comorbidities and self-rated health status in middle-aged and elderly Chinese: the China Kadoorie Biobank study
title_full_unstemmed Association between multiple comorbidities and self-rated health status in middle-aged and elderly Chinese: the China Kadoorie Biobank study
title_sort association between multiple comorbidities and self-rated health status in middle-aged and elderly chinese: the china kadoorie biobank study
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2018-06-01
description Abstract Background Understanding the correlates of self-rated health (SRH) can help public health professionals prioritize health-promotion and disease-prevention interventions. This study aimed to investigate the association between multiple comorbidities and global SRH and age-comparative SRH. Methods A total of 512,891 participants aged 30–79 years old were recruited into the China Kadoorie Biobank study from ten regions between 2004 and 2008. Multivariate logistic regression models were used to estimate the odds ratios (ORs) for the associations between comorbidities (including diabetes, hypertension, coronary heart disease, rheumatic heart disease, stroke, tuberculosis, emphysema/bronchitis, asthma, cirrhosis/chronic hepatitis, peptic ulcer, gallbladder disease, kidney disease, fracture, rheumatic arthritis, psychiatric disorders, depressive symptoms, neurasthenia, head injury and cancer) and SRH. Population attributable risks (PARs) were used to estimate the contribution of multiple comorbidities to poor global SRH and worse age-comparative SRH. Results After adjusting for covariates, suffering from various diseases increased the chance of reporting a poor global SRH [OR (95% CI) ranged from 1.10 (1.07, 1.13) for fracture to 3.21 (2.68, 3.83) for rheumatic heart disease] and a worse age-comparative SRH [OR (95% CI) ranged from 1.18 (1.13, 1.23) for fracture to 7.56 (6.93, 8.25) for stroke]. From the population perspective, 20.23% of poor global SRH and 45.12% of worse age-comparative SRH could attributed to the cardiometabolic diseases, with hypertension (7.84% for poor global SRH and 13.79% for worse age-comparative SRH), diabetes (4.35% for poor global SRH and 10.71% for worse age-comparative SRH), coronary heart disease (4.44% for poor global SRH and 9.51% for worse age-comparative SRH) and stroke (3.20% for poor global SRH and 10.19% for worse age-comparative SRH) making the largest contribution. Conclusions Various diseases were major determinants of global and age-comparative SRH, and cardiometabolic diseases had the strongest impact on both global SRH and age-comparative SRH at the population level. Prevention measures concentrated on these conditions would greatly reduce the total burden of poor SRH and its consequences such as poor quality of life and use of health care services.
topic Comorbidity
Self-rated health status
Cross-sectional study
Chinese population
url http://link.springer.com/article/10.1186/s12889-018-5632-1
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spelling doaj-365d37ead7584fa5bd79775705c9b4422020-11-24T22:12:40ZengBMCBMC Public Health1471-24582018-06-0118112410.1186/s12889-018-5632-1Association between multiple comorbidities and self-rated health status in middle-aged and elderly Chinese: the China Kadoorie Biobank studyXingyue Song0Jing Wu1Canqing Yu2Wenhong Dong3Jun Lv4Yu Guo5Zheng Bian6Ling Yang7Yiping Chen8Zhengming Chen9An Pan10Liming Li11on behalf of the China Kadoorie Biobank Collaborative GroupDepartment of Epidemiology and Biostatistics, and Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Epidemiology and Biostatistics, and Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science CenterDepartment of Epidemiology and Biostatistics, and Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science CenterChinese Academy of Medical SciencesChinese Academy of Medical SciencesClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of OxfordClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of OxfordClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of OxfordDepartment of Epidemiology and Biostatistics, and Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science CenterAbstract Background Understanding the correlates of self-rated health (SRH) can help public health professionals prioritize health-promotion and disease-prevention interventions. This study aimed to investigate the association between multiple comorbidities and global SRH and age-comparative SRH. Methods A total of 512,891 participants aged 30–79 years old were recruited into the China Kadoorie Biobank study from ten regions between 2004 and 2008. Multivariate logistic regression models were used to estimate the odds ratios (ORs) for the associations between comorbidities (including diabetes, hypertension, coronary heart disease, rheumatic heart disease, stroke, tuberculosis, emphysema/bronchitis, asthma, cirrhosis/chronic hepatitis, peptic ulcer, gallbladder disease, kidney disease, fracture, rheumatic arthritis, psychiatric disorders, depressive symptoms, neurasthenia, head injury and cancer) and SRH. Population attributable risks (PARs) were used to estimate the contribution of multiple comorbidities to poor global SRH and worse age-comparative SRH. Results After adjusting for covariates, suffering from various diseases increased the chance of reporting a poor global SRH [OR (95% CI) ranged from 1.10 (1.07, 1.13) for fracture to 3.21 (2.68, 3.83) for rheumatic heart disease] and a worse age-comparative SRH [OR (95% CI) ranged from 1.18 (1.13, 1.23) for fracture to 7.56 (6.93, 8.25) for stroke]. From the population perspective, 20.23% of poor global SRH and 45.12% of worse age-comparative SRH could attributed to the cardiometabolic diseases, with hypertension (7.84% for poor global SRH and 13.79% for worse age-comparative SRH), diabetes (4.35% for poor global SRH and 10.71% for worse age-comparative SRH), coronary heart disease (4.44% for poor global SRH and 9.51% for worse age-comparative SRH) and stroke (3.20% for poor global SRH and 10.19% for worse age-comparative SRH) making the largest contribution. Conclusions Various diseases were major determinants of global and age-comparative SRH, and cardiometabolic diseases had the strongest impact on both global SRH and age-comparative SRH at the population level. Prevention measures concentrated on these conditions would greatly reduce the total burden of poor SRH and its consequences such as poor quality of life and use of health care services.http://link.springer.com/article/10.1186/s12889-018-5632-1ComorbiditySelf-rated health statusCross-sectional studyChinese population