Cross-sectional and prospective associations between sleep regularity and metabolic health in the Hispanic Community Health Study/Study of Latinos

Sleep - Tập 44 Số 4 - 2021
Josef Fritz1, Andrew J. K. Phillips2, Larissa C. Hunt1, Akram Imam1, Kathryn J. Reid3, Krista M. Perreira4, Yasmin Mossavar‐Rahmani5, Martha L. Daviglus6, Daniela Sotres‐Alvarez7, Phyllis C. Zee3, Sanjay R. Patel8, Céline Vetter1
1Circadian and Sleep Epidemiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO
2Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
3Center for Circadian and Sleep Medicine, Department of Neurology, Northwestern University, Chicago, IL
4Department of Social Medicine, University of North Carolina School of Medicine, Chapel Hill, NC
5Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY.
6College of Medicine, Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL
7Collaborative Studies Coordinating Center, Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
8Center for Sleep and Cardiovascular Outcomes Research, University of Pittsburgh, Pittsburgh, PA

Tóm tắt

AbstractStudy ObjectivesSleep is an emergent, multi-dimensional risk factor for diabetes. Sleep duration, timing, quality, and insomnia have been associated with diabetes risk and glycemic biomarkers, but the role of sleep regularity in the development of metabolic disorders is less clear.MethodsWe analyzed data from 2107 adults, aged 19–64 years, from the Sueño ancillary study of the Hispanic Community Health Study/Study of Latinos, followed over a mean of 5.7 years. Multivariable-adjusted complex survey regression methods were used to model cross-sectional and prospective associations between the sleep regularity index (SRI) in quartiles (Q1-least regular, Q4-most regular) and diabetes (either laboratory-confirmed or self-reported antidiabetic medication use), baseline levels of insulin resistance (HOMA-IR), beta-cell function (HOMA-β), hemoglobin A1c (HbA1c), and their changes over time.ResultsCross-sectionally, lower SRI was associated with higher odds of diabetes (odds ratio [OR]Q1 vs. Q4 = 1.64, 95% CI: 0.98–2.74, ORQ2 vs. Q4 = 1.12, 95% CI: 0.70–1.81, ORQ3 vs. Q4 = 1.00, 95% CI: 0.62–1.62, ptrend = 0.023). The SRI effect was more pronounced in older (aged ≥ 45 years) adults (ORQ1 vs. Q4 = 1.88, 95% CI: 1.14–3.12, pinteraction = 0.060) compared to younger ones. No statistically significant associations were found between SRI and diabetes incidence, as well as baseline HOMA-IR, HOMA-β, and HbA1c values, or their changes over time among adults not taking antidiabetic medication.ConclusionsOur results suggest that sleep regularity represents another sleep dimension relevant for diabetes risk. Further research is needed to elucidate the relative contribution of sleep regularity to metabolic dysregulation and pathophysiology.

Từ khóa


Tài liệu tham khảo

Danaei, 2011, National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2·7 million participants, Lancet., 378, 31, 10.1016/S0140-6736(11)60679-X

American Diabetes Association, 2018, Economic Costs of Diabetes in the U.S. in 2017, Diabetes Care, 41, 917, 10.2337/dci18-0007

Shan, 2015, Sleep duration and risk of type 2 diabetes: a meta-analysis of prospective studies, Diabetes Care., 38, 529, 10.2337/dc14-2073

Zimmet, 2014, Diabetes: a 21st century challenge, Lancet Diabetes Endocrinol., 2, 56, 10.1016/S2213-8587(13)70112-8

Van Cauter, 2008, Metabolic consequences of sleep and sleep loss, Sleep Med., 9, S23, 10.1016/S1389-9457(08)70013-3

Zimmet, 2019, The Circadian Syndrome: is the Metabolic Syndrome and much more!, J Intern Med., 286, 181, 10.1111/joim.12924

Krittanawong, 2017, Association between short and long sleep durations and cardiovascular outcomes: a systematic review and meta-analysis, Eur Hear J Acute Cardiovasc Care, 204887261774173

Leproult, 2014, Circadian misalignment augments markers of insulin resistance and inflammation, independently of sleep loss, Diabetes., 63, 1860, 10.2337/db13-1546

Morris, 2016, Circadian misalignment increases cardiovascular disease risk factors in humans, Proc Natl Acad Sci U S A., 113, E1402, 10.1073/pnas.1516953113

Knutson, 2017, Association between sleep timing, obesity, diabetes: The Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Cohort Study, Sleep, 40, 10.1093/sleep/zsx014

Huang, 2019, Habitual sleep quality, plasma metabolites and risk of coronary heart disease in post-menopausal women, Int J Epidemiol., 48, 1262, 10.1093/ije/dyy234

Sofi, 2014, Insomnia and risk of cardiovascular disease: a meta-analysis, Eur J Prev Cardiol., 21, 57, 10.1177/2047487312460020

Li, 2014, Insomnia and risk of cardiovascular disease: a meta-analysis of cohort studies, Int J Cardiol., 176, 1044, 10.1016/j.ijcard.2014.07.284

Vetter, 2020, Circadian disruption: what do we actually mean?, Eur J Neurosci., 51, 531, 10.1111/ejn.14255

Pan, 2011, Rotating night shift work and risk of type 2 diabetes: two prospective cohort studies in women, PLoS Med., 8, e1001141, 10.1371/journal.pmed.1001141

Vetter, 2016, Association between rotating night shift work and risk of coronary heart disease among women, JAMA., 315, 1726, 10.1001/jama.2016.4454

Sohail, 2015, Irregular 24-hour activity rhythms and the metabolic syndrome in older adults, Chronobiol Int., 32, 802, 10.3109/07420528.2015.1041597

Taylor, 2016, Bedtime variability and metabolic health in midlife women: The SWAN Sleep Study, Sleep., 39, 457, 10.5665/sleep.5464

Lunsford-Avery, 2018, Validation of the sleep regularity index in older adults and associations with cardiometabolic risk, Sci Rep., 8, 14158, 10.1038/s41598-018-32402-5

Whitaker, 2018, Associations between polysomnography and actigraphy-based sleep indices and glycemic control among those with and without type 2 diabetes: the Multi-Ethnic Study of Atherosclerosis, Sleep, 41, 10.1093/sleep/zsy172

Huang, 2019, Cross-sectional and prospective associations of actigraphy-assessed sleep regularity with metabolic abnormalities: the Multi-Ethnic Study of Atherosclerosis, Diabetes Care., 42, 1422, 10.2337/dc19-0596

Makarem, 2020, Variability in sleep patterns: an emerging risk factor for hypertension, Curr Hypertens Rep., 22, 19, 10.1007/s11906-020-1025-9

Huang, 2020, Sleep irregularity and risk of cardiovascular events: the Multi-Ethnic Study of Atherosclerosis, J Am Coll Cardiol., 75, 991, 10.1016/j.jacc.2019.12.054

Connolly, 2000, Diabetes prevalence and socioeconomic status: a population based study showing increased prevalence of type 2 diabetes mellitus in deprived areas, J Epidemiol Community Health., 54, 173, 10.1136/jech.54.3.173

Ong, 2008, Prevalence, treatment, and control of diagnosed diabetes in the U.S. National Health and Nutrition Examination Survey 1999-2004, Ann Epidemiol., 18, 222, 10.1016/j.annepidem.2007.10.007

Schneiderman, 2014, Prevalence of diabetes among Hispanics/Latinos from diverse backgrounds: the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), Diabetes Care., 37, 2233, 10.2337/dc13-2939

Sokolove, 1978, The chi square periodogram: its utility for analysis of circadian rhythms, J Theor Biol., 72, 131, 10.1016/0022-5193(78)90022-X

Phillips, 2017, Irregular sleep/wake patterns are associated with poorer academic performance and delayed circadian and sleep/wake timing, Sci Rep., 7, 3216, 10.1038/s41598-017-03171-4

Lavange, 2010, Sample design and cohort selection in the Hispanic Community Health Study/Study of Latinos, Ann Epidemiol., 20, 642, 10.1016/j.annepidem.2010.05.006

Sorlie, 2010, Design and implementation of the Hispanic Community Health Study/Study of Latinos, Ann Epidemiol., 20, 629, 10.1016/j.annepidem.2010.03.015

Redline, 2014, Sleep-disordered breathing in Hispanic/Latino individuals of diverse backgrounds. The Hispanic Community Health Study/Study of Latinos, Am J Respir Crit Care Med., 189, 335, 10.1164/rccm.201309-1735OC

Perreira, 2020, Retaining Hispanics: Lessons from the Hispanic Community Health Study / Study of Latinos (HCHS/SOL), Am J Epidemiol, 189, 518, 10.1093/aje/kwaa003

Matthews, 1985, Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man, Diabetologia., 28, 412, 10.1007/BF00280883

American Diabetes Association. 2., 2017, Classification and Diagnosis of Diabetes, Diabetes Care, 40, S11, 10.2337/dc17-S005

Patel, 2015, Reproducibility of a standardized actigraphy scoring algorithm for sleep in a US Hispanic/Latino population, Sleep., 38, 1497, 10.5665/sleep.4998

Oakley, 1997, Validation with Polysomnography of the Sleep-Watch Sleep/ Wake Scoring Algorithm Used by the Actiwatch Activity Monitoring System

Rao, 1981, The Analysis of Categorical Data from Complex Surveys: Chi-Squared Tests for Goodness of Fit and Independence in Two-Way Tables, J Am Stat Assoc, 76, 221, 10.1080/01621459.1981.10477633

Andresen, 1994, Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale), Am J Prev Med., 10, 77, 10.1016/S0749-3797(18)30622-6

Radloff, 1977, The CES-D Scale: A Self-Report Depression Scale for Research in the General Population, Appl Psychol Meas, 1, 385, 10.1177/014662167700100306

Dudley, 2017, Actigraphic Sleep Patterns of U.S. Hispanics: The Hispanic Community Health Study/Study of Latinos, Sleep, 40, 10.1093/sleep/zsw049

Abbott, 2019, Sleep Timing, Stability, and BP in the Sueño Ancillary Study of the Hispanic Community Health Study/Study of Latinos, Chest., 155, 60, 10.1016/j.chest.2018.09.018

Reid, 2018, Impact of shift work schedules on actigraphy-based measures of sleep in Hispanic workers: results from the Hispanic Community Health Study/Study of Latinos ancillary Sueño study, Sleep, 41, 10.1093/sleep/zsy131

R Core Team, 2018, R: A Language and Environment for Statistical Computing

Morikawa, 2005, Shift work and the risk of diabetes mellitus among Japanese male factory workers, Scand J Work Environ Health., 31, 179, 10.5271/sjweh.867

Bays, 2007, The relationship of body mass index to diabetes mellitus, hypertension and dyslipidaemia: comparison of data from two national surveys, Int J Clin Pract., 61, 737, 10.1111/j.1742-1241.2007.01336.x

Weiss, 2012, Nocturia: focus on etiology and consequences, Rev Urol., 14, 48

Boulton, 2005, Diabetic neuropathies: a statement by the American Diabetes Association, Diabetes Care., 28, 956, 10.2337/diacare.28.4.956

Fritschi, 2010, Fatigue in patients with diabetes: a review, J Psychosom Res., 69, 33, 10.1016/j.jpsychores.2010.01.021

Lee, 1992, Diurnal variation in glucose tolerance. Cyclic suppression of insulin action and insulin secretion in normal-weight, but not obese, subjects, Diabetes., 41, 750, 10.2337/diab.41.6.750

Saad, 2012, Diurnal pattern to insulin secretion and insulin action in healthy individuals, Diabetes., 61, 2691, 10.2337/db11-1478

Li, 1999, A review of the healthy worker effect in occupational epidemiology, Occup Med (Lond)., 49, 225, 10.1093/occmed/49.4.225

Mezick, 2014, Associations of self-reported and actigraphy-assessed sleep characteristics with body mass index and waist circumference in adults: moderation by gender, Sleep Med., 15, 64, 10.1016/j.sleep.2013.08.784

Schnurr, 2020, Obesity, unfavourable lifestyle and genetic risk of type 2 diabetes: a case-cohort study, Diabetologia., 63, 1324, 10.1007/s00125-020-05140-5

Morris, 2015, Endogenous circadian system and circadian misalignment impact glucose tolerance via separate mechanisms in humans, Proc Natl Acad Sci U S A., 112, E2225, 10.1073/pnas.1418955112

Kim, 2015, The impact of sleep and circadian disturbance on hormones and metabolism, Int J Endocrinol., 2015, 591729, 10.1155/2015/591729

Poggiogalle, 2018, Circadian regulation of glucose, lipid, and energy metabolism in humans, Metabolism., 84, 11, 10.1016/j.metabol.2017.11.017

Van Someren, 2007, Live to the rhythm, slave to the rhythm, Sleep Med Rev., 11, 465, 10.1016/j.smrv.2007.07.003

McMullan, 2013, Melatonin secretion and the incidence of type 2 diabetes, JAMA., 309, 1388, 10.1001/jama.2013.2710

Depner, 2014, Metabolic consequences of sleep and circadian disorders, Curr Diab Rep., 14, 507, 10.1007/s11892-014-0507-z

Qian, 2016, Circadian system and glucose metabolism: implications for physiology and disease, Trends Endocrinol Metab., 27, 282, 10.1016/j.tem.2016.03.005

Stenvers, 2019, Circadian clocks and insulin resistance, Nat Rev Endocrinol., 15, 75, 10.1038/s41574-018-0122-1

Holmäng, 1992, The effects of cortisol on insulin sensitivity in muscle, Acta Physiol Scand., 144, 425, 10.1111/j.1748-1716.1992.tb09316.x

Mekary, 2013, Eating patterns and type 2 diabetes risk in older women: breakfast consumption and eating frequency, Am J Clin Nutr., 98, 436, 10.3945/ajcn.112.057521

Mattson, 2014, Meal frequency and timing in health and disease, Proc Natl Acad Sci U S A., 111, 16647, 10.1073/pnas.1413965111

Kahleova, 2017, Meal frequency and timing are associated with changes in body mass index in adventist health study 2, J Nutr., 147, 1722, 10.3945/jn.116.244749

Atkinson, 2008, Exercise, energy balance and the shift worker, Sports Med., 38, 671, 10.2165/00007256-200838080-00005

Thông tin
Thông tin xuất bản

Sleep

Tập 44 Số 4

Thông tin tác giả