title: [Influencing factors on healthy life expectancy in adults in Beijing].
abstract: OBJECTIVE
  To understand the main influencing factors related to healthy life expectancy (HALE) among adults in Beijing.
  
  
  METHODS
  The calculation on health-adjusted life expectancy was performed by Sullivan METHODS. Data from the self-reported health survey program on adults in Beijing 2012 was gathered. Hierarchical ordered probit model was used to estimate the severity-weighted prevalence of disability and then combined with the period life table to obtain the HALE. Factors associated with the severity-adjusted prevalence of the disabled were analyzed under the generalized additive models (GAM).
  
  
  RESULTS
  The main influencing factors of HALE would include age (t=40.351, P<0.001), sex (t=9.689, P<0.001), levels of education (t=5.021, P< 0.001), exercise (t=5.487, P<0.001) and alcohol intake (t=-2.380, P=0.017) etc. The influence of per capita monthly income (χ(2) =3.949, P=0.044) showed as non-linear.
  
  
  CONCLUSIONS
  Levels of income would directly influence the severity-weighted prevalence of the disability, which also affecting the HALE. Programs on improving healthy life style and health care in women should be promoted.
authors.affiliation: Institute for Information Statistics Center, Beijing Center for Disease Control and Prevention, Beijing 100013, China.
authors.forename: J
authors.initials: J
authors.lastname: Du
authors.forename: G
authors.initials: G
authors.lastname: Li
authors.forename: Y L
authors.initials: YL
authors.lastname: Gao
authors.forename: Z H
authors.initials: ZH
authors.lastname: Wei
authors.forename: J
authors.initials: J
authors.lastname: Wang
authors.forename: J T
authors.initials: JT
authors.lastname: Su
authors.forename: Q P
authors.initials: QP
authors.lastname: Liu
authors.forename: P
authors.initials: P
authors.lastname: Wang
mesh_terms: D000328:Adult; D000428:Alcohol Drinking / Q000453:epidemiology; D000068476:Beijing / Q000453:epidemiology; D006233:Persons with Disabilities / Q000706:statistics & numerical data; D015444:Exercise; D005260:Female; D006305:Health Status Indicators; D006306:Health Surveys; D006801:Humans; D007182:Income; D008017:Life Expectancy; D015993:Life Tables; D008297:Male; D015995:Prevalence; D011795:Surveys and Questionnaires