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Healthy Aging in China: Benchmarks and Socio-Structural Correlates.

Sara J McLaughlinYun ChenSuzanne S X ThamJiaan ZhangLydia W Li
Published in: Research on aging (2019)
The objectives of this investigation were to identify a valid and practical benchmark for the assessment of healthy aging in the Chinese population and examine its socio-structural correlates. Using data from the 2011 China Health and Retirement Longitudinal Study, we investigated the validity of a continuum of healthy aging definitions. We found that definitions of healthy aging that emphasize disease of "significance" and functional health offer a valid and practical approach to the assessment of healthy aging. Results of multilevel logistic regression analyses indicate that socio-structural characteristics of individuals (age, gender, education, and pension status), their households (structure and wealth), and communities (infrastructure and geographic region) are significantly associated with the odds of healthy aging. Policy-level interventions are needed to enable individuals, regardless of their gender, socioeconomic status, and place of residence to experience a healthy old age.
Keyphrases
  • healthcare
  • public health
  • mental health
  • machine learning
  • risk assessment
  • mass spectrometry
  • big data
  • deep learning
  • health promotion