A prospective study of multiple sleep dimensions and hypertension risk among white, black and Hispanic/Latina women: findings from the Sister Study

Abstract

Supplemental Digital Content is available in the text Background: Poor sleep is associated with increased hypertension risk, but few studies have evaluated multiple sleep dimensions or investigated racial/ethnic disparities in this association among women. Method: We investigated multiple sleep dimensions (sleep duration, inconsistent weekly sleep patterns, sleep debt, frequent napping and difficulty falling or staying asleep) and hypertension risk among women, and determined modification by age, race/ethnicity and menopausal status. We used data from the Sister Study, a national cohort of 50\u200a884 women who had sisters diagnosed with breast cancer in the United States enrolled in 2003–2009 and followed through September 2018. Results: Of 33\u200a497 women without diagnosed hypertension at baseline (mean age\u200a±\u200astandard deviation: 53.9\u200a±\u200a8.8\u200ayears; 88.7% White, 6.4% Black and 4.9% Hispanic/Latina), 23% (n\u200a=\u200a7686) developed hypertension over a median follow-up of 10.1\u200ayears [interquartile range: 8.2–11.9 years]. Very short, short or long sleep duration, inconsistent weekly sleep patterns, sleep debt, frequent napping, insomnia, insomnia symptoms as well as short sleep and exploratory cumulative poor sleep score were associated with incident hypertension after adjustment for demographics factors. After additional adjustment for lifestyle and clinical factors, insomnia [hazard ratio\u200a=\u200a1.09, 95% confidence interval (95% CI): 1.03–1.15] and insomnia symptoms plus short sleep (hazard ratio\u200a=\u200a1.13, 95% CI: 1.05–1.21) remained associated with incident hypertension. These associations were stronger in younger (age<54 vs. ≥54 years) and premenopausal vs. postmenopausal women (all P-interaction\u200a<\u200a0.05). Associations did not differ by race/ethnicity (all P-interaction\u200a>\u200a0.05). Conclusion: Thus, screening for multiple sleep dimensions and prioritizing younger and premenopausal women may help identify individuals at high risk for hypertension.