Marissa A Bowman1, Katherine A Duggan2, Ryan C Brindle3, Christopher E Kline4, Robert T Krafty5, Julian F Thayer6, Martica H Hall7. 1. Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA. 2. Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA. 3. Department of Cognitive and Behavioral Science & Neuroscience Program, Washington and Lee University, Lexington, VA, USA. 4. Department of Health and Physical Activity, University of Pittsburgh, Pittsburgh, PA, USA. 5. Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA. 6. Department of Psychology, Ohio State University, Columbus, OH, USA. 7. Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: hallmh@upmc.edu.
Abstract
OBJECTIVE: Subjective sleep disturbances have been associated with greater risk for concurrent and incident metabolic syndrome (MetS). Previous studies have not examined prospective associations among polysomnography-assessed sleep and the MetS, despite knowledge that self-reported sleep is subject to reporting bias, and that subjectively and objectively assessed sleep are weakly correlated. METHOD: In the current study, objectively-assessed (polysomnography) and subjectively-assessed (Pittsburgh Sleep Quality Index, PSQI) sleep was measured in 145 adults at two timepoints, separated by 12-30 years. A continuous measure of the MetS was assessed at the second time point. Statistical analyses were adjusted for age, sex, lifetime history of major depressive disorder, follow-up time, and apnea-hypopnea index. RESULTS: Polysomnography-assessed sleep duration, latency, efficiency, and slow wave sleep were not significantly prospectively associated with the MetS (ps ≥ 0.16). Self-reported longer sleep latency was prospectively associated with higher MetS scores in unadjusted (β = 0.29, p = 0.002) and adjusted models (β = 0.25, p = 0.009). Longer sleep latency was associated with higher fasting glucose levels (β = 0.47, p < 0.001). CONCLUSION: Our study provides evidence that subjective and objective measures of sleep may differ in their ability to prospectively predict MetS.
OBJECTIVE: Subjective sleep disturbances have been associated with greater risk for concurrent and incident metabolic syndrome (MetS). Previous studies have not examined prospective associations among polysomnography-assessed sleep and the MetS, despite knowledge that self-reported sleep is subject to reporting bias, and that subjectively and objectively assessed sleep are weakly correlated. METHOD: In the current study, objectively-assessed (polysomnography) and subjectively-assessed (Pittsburgh Sleep Quality Index, PSQI) sleep was measured in 145 adults at two timepoints, separated by 12-30 years. A continuous measure of the MetS was assessed at the second time point. Statistical analyses were adjusted for age, sex, lifetime history of major depressive disorder, follow-up time, and apnea-hypopnea index. RESULTS: Polysomnography-assessed sleep duration, latency, efficiency, and slow wave sleep were not significantly prospectively associated with the MetS (ps ≥ 0.16). Self-reported longer sleep latency was prospectively associated with higher MetS scores in unadjusted (β = 0.29, p = 0.002) and adjusted models (β = 0.25, p = 0.009). Longer sleep latency was associated with higher fasting glucose levels (β = 0.47, p < 0.001). CONCLUSION: Our study provides evidence that subjective and objective measures of sleep may differ in their ability to prospectively predict MetS.
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