Abstract Introduction It is not known whether the restorative nature of sleep mediates the effects of perceived stress on the autonomic nervous system (ANS).This study explored the relationships between stress and autonomic biomarkers, and aimed to assess potential mediation by sleep quality. Methods A secondary data analysis was performed using data from the Midlife in the United States (MIDUS, MIDUS II & Milwaukee). Multiple regression models examined the association between perceived stress using the Perceived Stress Scale (PSS) and two autonomic biomarkers-heart rate variability(HRV) (n=888) and urine catecholamines (n=1,058). The roles of sleep quality (using the Pittsburg Sleep Quality Index (PSQI)) and race/ethnicity were explored in post-hoc analyses. Results No statistically significant relationships were found between PSS and autonomic stress measures. However, perceived stress (b=0.09;p<0.01; 95% CI=0.06,0.13) and the covariate Likert stress scale at baseline (b=0.13;p=<0.04;95% CI=0.005,0.26) were significantly related to PSQI. Post hoc analyses explored racial differences. Baseline stress, PSS, depressive symptoms and PSQI scores were significantly higher in Blacks/African-Americans than Non-Hispanic Whites. Yet, Blacks/African-Americans had lower sympathetic responses (epinephrine means 1.56 vs 2.00;t=-4.82;p<0.01, norepinephrine means, 24.15 vs 27.30;t=3.14;p<0.01) and higher parasympathetic responses (lnHF, natural log of High Frequency HRV means 5.48 vs 4.75; t=6.17;p<0.01), compared to Non-Hispanic Whites. Conclusion Blacks/African-Americans and Non-Hispanic Whites had significant differences in their sleep quality and ANS biomarkers. Sleep quality may play a role in the effect of discrimination on mental and physical health. Different stress sources may lead to variable expression in biomarkers of autonomic tone. Future prospective studies incorporating longitudinal biomarkers and alternative statistical models will help elucidate the relationships among stress, sleep, and the pathways linking these factors to poor health, and effect targeted treatments. Support The MIDUS I study was supported by the John D. and Catherine T. MacArthur Foundation Research Network. MIDUS II was supported by the NIA(P01-AG020166), M01-RR023942(Georgetown), M01-RR00865(UCLA) and 1UL1RR025011(UW) grants. Many thanks to Dr. James McNally, Dr. Barry Radler, Dr. Gayle Love and Suzanne Hodge for access to the Milwaukee dataset.
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