Multidimensional sleep health domains in older men and women: an actigraphy factor analysis

Sleep - Tập 44 Số 2 - 2021
Meredith L. Wallace1, Lan Yu2, Daniel J. Buysse1, Katie L. Stone3, Susan Redline4, Stephen F. Smagula1, Marcia L. Stefanick5, Donna Kritz‐Silverstein6, Martica H. Hall1
1Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
2Department of Medicine, University of Pittsburgh, Pittsburgh, Pa
3California Pacific Medical Center Research Institute, San Francisco, CA
4Departments of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
5Department of Medicine, Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA
6Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA

Tóm tắt

Abstract The multidimensional sleep health framework emphasizes that sleep can be characterized across several domains, with implications for developing novel sleep treatments and improved prediction and health screening. However, empirical evidence regarding the domains and representative measures that exist in actigraphy-assessed sleep is lacking. We aimed to establish these domains and representative measures in older adults by examining the factor structure of 28 actigraphy-derived sleep measures from 2,841 older men from the Osteoporotic Fractures in Men Sleep Study and, separately, from 2,719 older women from the Study of Osteoporotic Fractures. Measures included means and standard deviations of actigraphy summary measures and estimates from extended cosine models of the raw actigraphy data. Exploratory factor analyses revealed the same five factors in both sexes: Timing (e.g. mean midpoint from sleep onset to wake-up), Efficiency (e.g. mean sleep efficiency), Duration (e.g. mean minutes from sleep onset to wake-up), Sleepiness/Wakefulness (e.g. mean minutes napping and amplitude of rhythm), and Regularity (e.g. standard deviation of the midpoint). Within each sex, confirmatory factor analyses confirmed the one-factor structure of each factor and the entire five-factor structure (Comparative Fit Index and Tucker–Lewis Index ≥ 0.95; Root Mean Square Error of Approximation 0.08–0.38). Correlation magnitudes among factors ranged from 0.01 to 0.34. These findings demonstrate the validity of conceptualizing actigraphy sleep as multidimensional, provide a framework for selecting sleep health domains and representative measures, and suggest targets for behavioral interventions. Similar analyses should be performed with additional measures of rhythmicity, other age ranges, and more racially/ethnically diverse samples.

Từ khóa


Tài liệu tham khảo

Buysse, 2014, Sleep health: can we define it? Does it matter?, Sleep., 37, 9, 10.5665/sleep.3298

Wallace, 2018, Osteoporotic Fractures in Men (MrOS) Study Research Group. Which sleep health characteristics predict all-cause mortality in older men? An application of flexible multivariable approaches, Sleep, 41, 10.1093/sleep/zsx189

Harvey, 2017, Treating Sleep Problems: A Transdiagnostic Approach., 1st ed

Brindle, 2018, The relationship between childhood trauma and poor sleep health in adulthood, Psychosom Med, 80, 200, 10.1097/PSY.0000000000000542

Furihata, 2017, An aggregate measure of sleep health is associated with prevalent and incident clinically significant depression symptoms among community-dwelling older women, Sleep, 40, 10.1093/sleep/zsw075

Dalmases, 2018, Assessing sleep health in a European population: results of the Catalan Health Survey 2015, PLoS One, 13, e0194495, 10.1371/journal.pone.0194495

Dalmases, 2019, Impact of sleep health on self-perceived health status, Sci Rep., 9, 7284, 10.1038/s41598-019-43873-5

Dong, 2019, A composite measure of sleep health predicts concurrent mental and physical health outcomes in adolescents prone to eveningness, Sleep Health., 5, 166, 10.1016/j.sleh.2018.11.009

DeSantis, 2019, A preliminary study of a composite sleep health score: associations with psychological distress, body mass index, and physical functioning in a low-income African American community, Sleep Health., 5, 514, 10.1016/j.sleh.2019.05.001

Wallace, 2019, Heightened sleep propensity: a novel and high-risk sleep health phenotype in older adults, Sleep Health., 5, 630, 10.1016/j.sleh.2019.08.001

Wallace, 2019, Multidimensional sleep and mortality in older adults: a machine-learning comparison with other risk factors, J Gerontol A Biol Sci Med Sci, 74, 1903, 10.1093/gerona/glz044

Blank, 2005, Overview of recruitment for the osteoporotic fractures in men study (MrOS), Contemp Clin Trials., 26, 557, 10.1016/j.cct.2005.05.005

Orwoll, 2005, Design and baseline characteristics of the osteoporotic fractures in men (MrOS) study–a large observational study of the determinants of fracture in older men, Contemp Clin Trials., 26, 569, 10.1016/j.cct.2005.05.006

Cummings, 1993, Bone density at various sites for prediction of hip fractures. The Study of Osteoporotic Fractures Research Group, Lancet., 341, 72, 10.1016/0140-6736(93)92555-8

Cummings, 1990, Appendicular bone density and age predict hip fracture in women. The Study of Osteoporotic Fractures Research Group, JAMA., 263, 665, 10.1001/jama.1990.03440050059033

Tranah, 2011, Circadian activity rhythms and risk of incident dementia and mild cognitive impairment in older women, Ann Neurol., 70, 722, 10.1002/ana.22468

Zuurbier, 2015, Fragmentation and stability of circadian activity rhythms predict mortality: the Rotterdam study, Am J Epidemiol., 181, 54, 10.1093/aje/kwu245

Smagula, 2015, Circadian rest-activity rhythms predict future increases in depressive symptoms among community-dwelling older men, Am J Geriatr Psychiatry., 23, 495, 10.1016/j.jagp.2014.06.007

Rogers-Soeder, 2018, Rest-activity rhythms and cognitive decline in older men: the osteoporotic fractures in men sleep study, J Am Geriatr Soc., 66, 2136, 10.1111/jgs.15555

Sheikh, 5, Geriatric Depression Scale, and development of a shorter version, 165

Goldberg, 1988, Detecting anxiety and depression in general medical settings, BMJ (Clinical research ed), 297, 897, 10.1136/bmj.297.6653.897

Teng, 1987, The Modified Mini-Mental State (3MS) examination, J Clin Psychiatry., 48, 314

Folstein, 1983, The mini-mental state examination, Arch Gen Psychiatry., 40, 812, 10.1001/archpsyc.1983.01790060110016

Pahor, 1994, Drug data coding and analysis in epidemiologic studies, Eur J Epidemiol., 10, 405, 10.1007/BF01719664

Blackwell, 2011, Factors that may influence the classification of sleep-wake by wrist actigraphy: the MrOS Sleep Study, J Clin Sleep Med., 7, 357, 10.5664/JCSM.1190

Mehra, 2007, Prevalence and correlates of sleep-disordered breathing in older men: osteoporotic fractures in men sleep study, J Am Geriatr Soc., 55, 1356, 10.1111/j.1532-5415.2007.01290.x

Blackwell, 2005, Actigraphy scoring reliability in the study of osteoporotic fractures, Sleep., 28, 1599, 10.1093/sleep/28.12.1599

Jean-Louis, 2001, Sleep estimation from wrist movement quantified by different actigraphic modalities, J Neurosci Methods., 105, 185, 10.1016/S0165-0270(00)00364-2

Marler, 2006, The sigmoidally transformed cosine curve: a mathematical model for circadian rhythms with symmetric non-sinusoidal shapes, Stat Med., 25, 3893, 10.1002/sim.2466

Wallace, 2018, Variable selection for skewed model-based clustering: application to the identification of novel sleep phenotypes, J Am Stat Assoc., 113, 95, 10.1080/01621459.2017.1330202

Stevens, 1992, Exploratory factor analysis., Applied Multivariate Statistics for the Social Sciences, 2 ed, 339

Kline, 1998, Principles and Practice of Structural Equation Modeling

Bentler, 1990, Comparative fit indices in structural models, Psychol Bull, 107, 238, 10.1037/0033-2909.107.2.238

Buysse, 2017, Clinical management of insomnia disorder, JAMA., 318, 1973, 10.1001/jama.2017.15683

Buysse, 2010, Development and validation of patient-reported outcome measures for sleep disturbance and sleep-related impairments, Sleep., 33, 781, 10.1093/sleep/33.6.781

Hood, 2017, The aging clock: circadian rhythms and later life, The Journal of Clinical Investigation, 127, 437, 10.1172/JCI90328

Buysse, 1992, Napping and 24-hour sleep/wake patterns in healthy elderly and young adults, J Am Geriatr Soc., 40, 779, 10.1111/j.1532-5415.1992.tb01849.x

Leng, 2019, Objective napping, cognitive decline, and risk of cognitive impairment in older men, Alzheimers Dement, 15, 1039, 10.1016/j.jalz.2019.04.009

Rogers-Soeder, 2018, Rest-activity rhythms and cognitive decline in older men: the osteoporotic fractures in men sleep study, J Am Geriatr Soc., 66, 2136, 10.1111/jgs.15555

Tranah, 2011, Circadian activity rhythms and risk of incident dementia and mild cognitive impairment in older women, Ann Neurol., 70, 722, 10.1002/ana.22468

Yaffe, 2014, Connections between sleep and cognition in older adults, Lancet Neurol., 13, 1017, 10.1016/S1474-4422(14)70172-3

Walsh, 2014, Weaker circadian activity rhythms are associated with poorer executive function in older women, Sleep., 37, 2009, 10.5665/sleep.4260

Ancoli-Israel, 2003, The role of actigraphy in the study of sleep and circadian rhythms, Sleep., 26, 342, 10.1093/sleep/26.3.342

Brandolim, 2018, Sleep health assessment: a scale validation, Psychiatry Res, 259, 51, 10.1016/j.psychres.2017.10.014

Benitez, 2020, Validation of the satisfaction alertness timing efficiency and duration (SATED) questionnaire for sleep health measurement, Ann Am Thorac Soc, 17, 20338, 10.1513/AnnalsATS.201908-628OC

Knutson, 2017, The national sleep foundation’s sleep health index, Sleep Health, 3, 234, 10.1016/j.sleh.2017.05.011

Buysse, 1998, Latent structure of EEG sleep variables in depressed and control subjects: descriptions and clinical correlates, Psychiatry Res, 79, 105, 10.1016/S0165-1781(98)00028-6

Wohlgemuth, 1999, How many nights are enough? The short-term stability of sleep parameters in elderly insomniacs and normal sleepers, Psychophysiology., 36, 233, 10.1111/1469-8986.3620233

Carney, 2012, The consensus sleep diary: standardizing prospective sleep self-monitoring, Sleep, 35, 287, 10.5665/sleep.1642

Monk, 1994, The pittsburgh sleep diary, J Sleep Res., 3, 111, 10.1111/j.1365-2869.1994.tb00114.x

Rowe, 2008, Actigraphy in older adults: comparison of means and variability of three different aggregates of measurement, Behav Sleep Med., 6, 127, 10.1080/15402000801952872

Smagula, 2015, Circadian rest-activity rhythms predict future increases in depressive symptoms among community-dwelling older men, Am J Geriatr Psychiatry., 23, 495, 10.1016/j.jagp.2014.06.007

Cook, 2009, Having a fit: impact of number of items and distribution of data on traditional criteria for assessing IRT’s unidimensionality assumption, Qual Life Res., 18, 447, 10.1007/s11136-009-9464-4

Goncalves, 2014, Nonparametric methods in actigraphy: an update, Sleep Science, 7, 158, 10.1016/j.slsci.2014.09.013