https://orcid.org/0000-0002-4392-3206
Abstract
Investigate the relationship between domains of sleep and metabolic dysfunction severity in Black individuals.
We conducted a cross-sectional analysis of the Jackson Heart Sleep Study (2012-2016), using logistic regression to assess the associations between actigraphy parameters (sleep timing, duration and regularity, continuity) and severe metabolic syndrome (MetS), defined as the highest tertile of a validated sex, race and ethnicity-specific MetS severity Z-score. Models were adjusted for age, socioeconomic factors, physical activity, smoking, alcohol use, and moderate to severe obstructive sleep apnea.
Among 754 participants (mean age 63 ± 11 years, 66% women, mean BMI 31.8 ± 6.8 kg/m2), mean sleep onset was 23:10 ± 1:24 (hh:mm), mean sleep duration was 6.7 ± 1.1h, median sleep maintenance efficiency was 88.9% (IQR 85.7-91.5) and median sleep fragmentation index was 28.3% (IQR 23.2-34). In adjusted models, each 1-h later in mid-sleep time was associated with 14% [95% CI: 1.01-1.30] higher odds of severe MetS and each 1-h increase in sleep duration variability was associated with 34% [95% CI: 1.01-1.77] higher odds. Each 1% decrease in sleep maintenance efficiency was associated with 5% [95% CI: 0.92, 0.98] higher odds of having severe MetS and each 1% increase in sleep fragmentation index was associated with 2% [95% CI: 1.01-1.04] higher odds.
Later sleep timing, irregular sleep duration, and poor sleep continuity were associated with more severe metabolic dysfunction in Black individuals, highlighting the importance of sleep health, beyond sleep duration, on metabolic health.
Accepted manuscripts
