title: [Determinants of self-rated health in old people].
abstract: OBJECTIVE
  To describe the status of self-rated health (SRH) among the elderly and find out the relationship between SRH and other health measures such as two weeks prevalence and chronic disease prevalence.
  
  
  METHODS
  The data used was generated from cross-sectional household health survey conducted in the year of 2009 in Shunyi district, Beijing. SPSS software was used to conduct univariate and multivariate liner regression analysis with self-rated health.
  
  
  RESULTS
  The average score of self-rated health among the elderly is 72.49. Univariate analyses suggest that are age, sex, marital status, income level, education, employment, medical insurance type, self-perceived anxious or depression, disease state are all associated with poor SRH score. Multiple liner regression model shows that age, job, medical insurance, self-perceived anxious or depression, suffer from two-week illness and chronic disease had effects on SRH of the elderly.
  
  
  CONCLUSIONS
  Physical and psychological unhealthy are independent risk factors of SRH among the elderly, disease status is the most influential predictor on SRH score. Thus, a single measurement of SRH question can be used in health status assessment of the elderly.
authors.affiliation: Department of Health Policy and Management, Peking University School of Public Health, Beijing 100191, China.
authors.forename: Qin-qin
authors.initials: QQ
authors.lastname: Meng
authors.forename: Tuo-hong
authors.initials: TH
authors.lastname: Zhang
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D001294:Attitude to Health; D002681:China / Q000453:epidemiology; D002908:Chronic Disease / Q000453:epidemiology*; D003430:Cross-Sectional Studies; D005260:Female; D015577:Geriatric Assessment / Q000379:methods*; D006304:Health Status; D006305:Health Status Indicators; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D057566:Self Report; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires / Q000592:standards