Marissa A Bowman1, Ryan C Brindle2, Hadine Joffe3, Christopher E Kline4, Daniel J Buysse5, Bradley M Appelhans6, Howard M Kravitz7, Karen A Matthews4, Genevieve S Neal-Perry8, Robert T Krafty9, Martica H Hall10. 1. Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA. 2. Department of Cognitive and Behavioral Science & Neuroscience Program, Washington and Lee University, Lexington, VA, USA. 3. Connors Center for Women's Health and Gender Biology and the Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. 4. Department of Health and Physical Activity, University of Pittsburgh, Pittsburgh, PA, USA. 5. Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA. 6. Department of Preventive Medicine, Rush University Medical Center, Chicago, IL, USA. 7. Department of Preventive Medicine, Rush University Medical Center, Chicago, IL, USA; Department of Psychiatry, Rush University Medical Center, Chicago, IL, USA. 8. Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. 9. Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA. 10. Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: hallmh@upmc.edu.
Abstract
OBJECTIVES: The association between sleep and adiposity (indexed by body mass index or waist-to-hip ratio) has typically been evaluated using a single dimension of self-reported sleep. However, other dimensions and behavioral measures of sleep may also be associated with adiposity. This study evaluated whether multidimensional sleep health calculated from actigraphy and self-report was longitudinally associated with adiposity in a sample of midlife women who have a high prevalence of sleep disturbances and adiposity. DESIGN: Longitudinal study with 11-14 years of follow-up time between the sleep health assessment and body mass index / waist-to-hip ratio measurements. PARTICIPANTS: Two hundred and twenty-one midlife women enrolled in the Study of Women's Health Across the Nation Sleep Study. MEASUREMENTS: Multidimensional sleep health was quantified using actigraphy (M[SD] = 29.1[7.2] nights) measures of sleep efficiency, midpoint, duration, regularity, and self-report measures of alertness and satisfaction. Each component was dichotomized and summed; higher values indicated better sleep health. Height, body weight, and waist and hip circumference were measured at the sleep study and at follow-up. Linear regression models were used to assess associations between sleep health and adiposity, adjusting for demographic and menopausal covariates. RESULTS: There was no substantial within-person change in adiposity over time. Better sleep health was cross-sectionally and longitudinally associated with lower adiposity in unadjusted, but not in adjusted, models. Individual sleep health components were not associated with adiposity after adjustment. CONCLUSION: We did not observe cross-sectional or longitudinal associations between multidimensional sleep health and adiposity. The sleep-adiposity link may be weaker in midlife adults than in other age groups.
OBJECTIVES: The association between sleep and adiposity (indexed by body mass index or waist-to-hip ratio) has typically been evaluated using a single dimension of self-reported sleep. However, other dimensions and behavioral measures of sleep may also be associated with adiposity. This study evaluated whether multidimensional sleep health calculated from actigraphy and self-report was longitudinally associated with adiposity in a sample of midlife women who have a high prevalence of sleep disturbances and adiposity. DESIGN: Longitudinal study with 11-14 years of follow-up time between the sleep health assessment and body mass index / waist-to-hip ratio measurements. PARTICIPANTS: Two hundred and twenty-one midlife women enrolled in the Study of Women's Health Across the Nation Sleep Study. MEASUREMENTS: Multidimensional sleep health was quantified using actigraphy (M[SD] = 29.1[7.2] nights) measures of sleep efficiency, midpoint, duration, regularity, and self-report measures of alertness and satisfaction. Each component was dichotomized and summed; higher values indicated better sleep health. Height, body weight, and waist and hip circumference were measured at the sleep study and at follow-up. Linear regression models were used to assess associations between sleep health and adiposity, adjusting for demographic and menopausal covariates. RESULTS: There was no substantial within-person change in adiposity over time. Better sleep health was cross-sectionally and longitudinally associated with lower adiposity in unadjusted, but not in adjusted, models. Individual sleep health components were not associated with adiposity after adjustment. CONCLUSION: We did not observe cross-sectional or longitudinal associations between multidimensional sleep health and adiposity. The sleep-adiposity link may be weaker in midlife adults than in other age groups.
Authors: Marissa A Bowman; Christopher E Kline; Daniel J Buysse; Howard M Kravitz; Hadine Joffe; Karen A Matthews; Joyce T Bromberger; Kathryn A Roecklein; Robert T Krafty; Martica H Hall Journal: Ann Behav Med Date: 2021-06-28
Authors: Christopher E Kline; Eileen R Chasens; Zhadyra Bizhanova; Susan M Sereika; Daniel J Buysse; Christopher C Imes; Jacob K Kariuki; Dara D Mendez; Mia I Cajita; Stephen L Rathbun; Lora E Burke Journal: Int J Obes (Lond) Date: 2021-01-07 Impact factor: 5.095
Authors: Nour Makarem; Carmela Alcantara; Sydney Musick; Odayme Quesada; Dorothy D Sears; Ziyu Chen; Parisa Tehranifar Journal: Int J Environ Res Public Health Date: 2022-08-29 Impact factor: 4.614