Affiliation:
1. Department of Epidemiology and Public Health, University College London, London WC1E 6BT, United Kingdom
Abstract
Context:
Evidence for the association of cortisol with mortality or disease events is mixed, possibly due to a failure to consider diurnal cortisol patterns.
Objective:
Our objective was to examine the association of diurnal cortisol patterns throughout the day with cardiovascular and noncardiovascular mortality in a community-dwelling population.
Design:
This was a prospective cohort study among 4047 civil servants, the Whitehall II study, United Kingdom. We measured diurnal cortisol patterns in 2002–2004 from six saliva samples obtained over the course of a normal weekday: at waking, +30 min, +2.5 h, +8 h, +12 h, and bedtime. Participants were subsequently followed for all-cause and cause-specific mortality until January 2010.
Participants:
Participants included 4047 men and women aged 61 yr on average at baseline.
Outcomes:
We assessed all-cause, cardiovascular, and noncardiovascular death.
Results:
There were 139 deaths, 32 of which were deaths due to cardiovascular disease, during a mean follow-up period of 6.1 yr. Flatter slopes in cortisol decline across the day were associated with increased risk of all-cause mortality (hazard ratio for 1 sd reduction in slope steepness 1.30; 95% confidence interval (CI) = 1.09–1.55). This excess mortality risk was mainly driven by an increased risk of cardiovascular deaths (hazard ratio = 1.87; 95% confidence interval = 1.32–2.64). The association with cardiovascular deaths was independent of a wide range of covariates measured at the time of cortisol assessment. There was no association between morning cortisol, the cortisol awakening response, and mortality outcomes.
Conclusions:
These findings demonstrate, for the first time, the relationship between a flatter slope in cortisol levels across the day and an increased risk of cardiovascular disease mortality in a nonclinical population.
Subject
Biochemistry (medical),Clinical Biochemistry,Endocrinology,Biochemistry,Endocrinology, Diabetes and Metabolism
Cited by
299 articles.
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