Cited by 81Aging, Health, and DisabilityHealth disparities and outcomesCardiovascular Health and Risk Factors

Self-Rated Health in middle-aged and elderly Chinese: distribution, determinants and associations with cardio-metabolic risk factors

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Haseli-Mashhadi, Nazanin, Pan, An, Ye, Xingwang, Wang, Jing, Qi, Qibin, Liu, Yong, Li, Huaixing, Yu, Zhijie +2 more·2009·BMC Public Health

Abstract

Background: Self-rated health (SRH) has been demonstrated to be an accurate reflection of a person's health and a valid predictor of incident mortality and chronic morbidity. We aimed to evaluate the distribution and factors associated with SRH and its association with biomarkers of cardio-metabolic diseases among middle-aged and elderly Chinese. Methods: Survey of 1,458 men and 1,831 women aged 50 to 70 years, conducted in one urban and two rural areas of Beijing and Shanghai in 2005. SRH status was measured and categorized as good (very good and good) vs. not good (fair, poor and very poor). Determinants of SRH and associations with biomarkers of cardio-metabolic diseases were evaluated using logistic regression. Results: Thirty two percent of participants reported good SRH. Males and rural residents tended to report good SRH. After adjusting for potential confounders, residence, physical activity, employment status, sleep quality and presence of diabetes, cardiovascular disease, and depression were the main determinants of SRH. Those free from cardiovascular disease (OR 3.68; 95%CI 2.39; 5.66), rural residents (OR 1.89; 95% CI 1.47; 2.43), non-depressed participants (OR 2.50; 95% CI 1.67; 3.73) and those with good sleep quality (OR 2.95; 95% CI 2.22; 3.91) had almost twice or over the chance of reporting good SRH compared to their counterparts. There were significant associations -and trend- between SRH and levels of inflammatory markers, insulin levels and insulin resistance. Conclusion: Only one third of middle-aged and elderly Chinese assessed their health status as good or very good. Although further longitudinal studies are required to confirm our findings, interventions targeting social inequalities, lifestyle patterns might not only contribute to prevent chronic morbidity but as well to improve populations' perceived health.

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Authors
Haseli-Mashhadi, N., Pan, A., Ye, X., Wang, J., Qi, Q., Liu, Y., Li, H., Yu, Z., Lin, X., & Franco, O. H.
Affiliations
  • Chinese Academy of Sciences (CN)
  • Unilever (United Kingdom) (GB)
Corresponding author
Franco, Oscar H
Venue
BMC Public Health
Published
2009-09-29
Volume
9
Issue
1
Pages
368-368
ISSN
1471-2458 (ISSN-L)
OpenAlex
W1968174923
Cited by
81
References
32
Citations by year
2026: 1 · 2025: 6 · 2024: 2 · 2023: 6 · 2022: 4 · 2021: 4 · 2020: 3 · 2019: 8 · 2018: 6 · 2017: 5 · 2016: 2 · 2015: 7 · 2014: 5 · 2013: 5 · 2012: 4
FWCI
5.69
Type
journal article
Language
en
Open access
Locations
  • BMC Public Health (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Warwick Research Archive Portal (University of Warwick) (acceptedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Greater South Information System
Funders
  • Chinese Academy of Sciences (SIBS2008006, KSCX1-YW-02)
  • Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences
  • Centers for Disease Control and Prevention
  • Directorate for Biological Sciences
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
  • Social Sciences › Health › Health disparities and outcomes
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
Keywords
self-rated health, cardiometabolic risk factors, cardiovascular disease, depression, sleep quality, rural residence, physical activity, insulin resistance, inflammatory markers, insulin levels, health disparities, health perception
MeSH terms
Aged, Cardiovascular Diseases, China, Data Collection, Depression, Female, Health Status, Humans, Life Style, Male, Metabolic Diseases, Middle Aged, Risk Factors, Rural Population, Self Disclosure, Sleep Wake Disorders, Urban Population

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