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Large variation in predictors of mortality by levels of self-rated health: Results from an 18-year follow-up study

Public Health. 2017 Apr:145:59-66. doi: 10.1016/j.puhe.2016.12.034. Epub 2017 Jan 20.

Abstract

Objectives: To analyze the variation in factors associated with mortality risk at different levels of self-rated health (SRH).

Study design: Retrospective cohort study.

Methods: Cox regression analysis was used to examine the association between mortality and demographic, socioeconomic and health-related predictors for respondents with good, average, and poor SRH in a longitudinal data set from Estonia with up to 18 years of follow-up time.

Results: In respondents with good SRH, male sex, older age, lower income, manual occupation, ever smoking, and heavy alcohol consumption predicted higher mortality. These covariates, together with marital status, illness-related limitations, and underweight predicted mortality in respondents with average SRH. For poor SRH, only being never married and having illness-related limitations predicted mortality risk in addition to older age and male sex.

Conclusions: The predictors of all-cause mortality are not universal but depend on the level of SRH. The higher mortality of respondents with poor SRH could to a large extent be attributed to health problems, whereas in the case of average or good SRH, factors other than the presence of illness explained outcome mortality.

Keywords: Estonia; Health concepts; Mortality; Self-rated health.

MeSH terms

  • Adult
  • Aged
  • Cause of Death
  • Diagnostic Self Evaluation*
  • Estonia / epidemiology
  • Female
  • Follow-Up Studies
  • Forecasting
  • Health Status*
  • Humans
  • Male
  • Middle Aged
  • Mortality*
  • Predictive Value of Tests
  • Retrospective Studies
  • Self Concept*
  • Self Report*
  • Sex Distribution
  • Sex Factors
  • Socioeconomic Factors
  • Surveys and Questionnaires