title: Subjective health and mortality in French elderly women and men.
abstract: OBJECTIVE
  To examine the predictive value of subjective health on mortality separately in women and men, independently of other health measures, and to explain the differences between sexes by way of cognition, depression, and disability.
  
  
  METHODS
  The PAQUID (Personnes Agées QUID) cohort is a representative sample of 3,660 nondemented elderly community residents, aged 65 and older. The relationship between subjective health and 5-year mortality was studied using the Cox model with delayed entry.
  
  
  RESULTS
  In men, subjective health was a predictor of mortality, independent of sociodemographic characteristics, physical health status, depressive symptomatology, cognitive function, and disability, particularly in the middle-range categories of subjective health. In women, the relationship between subjective health and mortality was explained by physical health status and disability.
  
  
  CONCLUSIONS
  Self-rated health seems to be a better predictor of mortality in men than in women. In men, the way in which self-ratings of health are produced remains unknown. In order to better understand sex differences, the pathways from healthy life to dependency and death, and their related changes in subjective health, should be explored further.
authors: INSERM (Institut National de la Santé Et de la Recherche Médicale, Université de Bordeaux II, France. Catherine.Helmer@dim.u-bordeaux2.fr
authors: C
authors: C
authors: Helmer
authors: P
authors: P
authors: Barberger-Gateau
authors: L
authors: L
authors: Letenneur
authors: J F
authors: JF
authors: Dartigues
mesh_terms: D000203:Activities of Daily Living; D000368:Aged / Q000523:psychology* / Q000706:statistics & numerical data; D000369:Aged, 80 and over; D001294:Attitude to Health; D005260:Female; D005602:France / Q000453:epidemiology; D015577:Geriatric Assessment; D006304:Health Status; D006801:Humans; D008297:Male; D008571:Men / Q000523:psychology*; D009026:Mortality; D011237:Predictive Value of Tests; D016016:Proportional Hazards Models; D011446:Prospective Studies; D017678:Sex Distribution; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D014930:Women / Q000523:psychology*