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. 2020 Mar 17;10(1):4886.
doi: 10.1038/s41598-020-61603-0.

Self-reported health as a predictor of mortality: A cohort study of its relation to other health measurements and observation time

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Self-reported health as a predictor of mortality: A cohort study of its relation to other health measurements and observation time

Geir Lorem et al. Sci Rep. .

Abstract

Self-reported health (SRH) is widely used as an epidemiological instrument given the changes in public health since its introduction in the 1980s. We examined the association between SRH and mortality and how this is affected by time and health measurements in a prospective cohort study using repeated measurements and physical examinations of 11652 men and 12684 women in Tromsø, Norway. We used Cox proportional hazard regression to estimate hazard ratios (HRs) of death for SRH, controlling for pathology, biometrics, smoking, sex and age. SRH predicted mortality independently of other, more objective health measures. Higher SRH was strongly associated with lower mortality risk. Poor SRH had HR 2.51 (CI: 2.19, 2.88). SRH is affected by disease, mental health and other risk factors, but these factors had little impact on HRs (Poor SRH: HR 1.99; CI: 1.72, 2.31). SRH predicted mortality, but with a time-dependent effect. Time strongly affected the hazard ratio for mortality, especially after ten-year follow-up (Poor SRH HR 3.63 at 0-5 years decreased to HR 1.58 at 15-21 years). SRH has both methodological and clinical value. It should not be uncritically utilised as a replacement instrument when measures of physical illness and other objective health measures are lacking.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Kaplan-Meier survival estimates for different levels of self-reported health. The survival curve grouped by self-reported health categories in Tromsø 4 (1994).
Figure 2
Figure 2
Development of hazard ratio over time. (A) All hazard ratios are controlled for age and sex. (B) Adjusted mortality risk also controls for pathology and other risk variables.

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