Objective sleep assessment in >80,000 UK mid-life adults: Associations with sociodemographic characteristics, physical activity and caffeine


Autoři: Gewei Zhu aff001;  Michael Catt aff002;  Sophie Cassidy aff001;  Mark Birch-Machin aff001;  Michael Trenell aff003;  Hugo Hiden aff004;  Simon Woodman aff004;  Kirstie N. Anderson aff005
Působiště autorů: Faculty of Medical Sciences, Institute of Cellular Medicine, Newcastle University, Newcastle Upon Tyne, United Kingdom aff001;  National Innovation Centre for Ageing, Time Central, Newcastle Upon Tyne, United Kingdom aff002;  NIHR Innovation Observatory, Gallowgate, Newcastle Upon Tyne, United Kingdom aff003;  National Innovation Centre for Data, School of Computing, Newcastle University, Newcastle Upon Tyne, United Kingdom aff004;  Department of Neurology, Royal Victoria Infirmary, Newcastle Upon Tyne, United Kingdom aff005
Vyšlo v časopise: PLoS ONE 14(12)
Kategorie: Research Article
doi: 10.1371/journal.pone.0226220

Souhrn

Study objectives

Normal timing and duration of sleep is vital for all physical and mental health. However, many sleep-related studies depend on self-reported sleep measurements, which have limitations. This study aims to investigate the association of physical activity and sociodemographic characteristics including age, gender, coffee intake and social status with objective sleep measurements.

Methods

A cross-sectional analysis was carried out on 82995 participants within the UK Biobank cohort. Sociodemographic and lifestyle information were collected through touch-screen questionnaires in 2007–2010. Sleep and physical activity parameters were later measured objectively using wrist-worn accelerometers in 2013–2015 (participants were aged 43–79 years and wore watches for 7 days). Participants were divided into 5 groups based on their objective sleep duration per night (<5 hours, 5–6 hours, 6–7 hours, 7–8 hours and >8 hours). Binary logistic models were adjusted for age, gender and Townsend Deprivation Index.

Results

Participants who slept 6–7 hours/night were the most frequent (33.5%). Females had longer objective sleep duration than males. Short objective sleep duration (<6 hours) correlated with older age, social deprivation and high coffee intake. Finally, those who slept 6–7 hours/night were most physically active.

Conclusions

Objectively determined short sleep duration was associated with male gender, older age, low social status and high coffee intake. An inverse ‘U-shaped’ relationship between sleep duration and physical activity was also established. Optimal sleep duration for health in those over 60 may therefore be shorter than younger groups.

Klíčová slova:

Accelerometers – Aging – Behavioral and social aspects of health – Caffeine – Physical activity – Sleep – Sleep disorders – Coffee


Zdroje

1. Carley DW, Farabi SS. Physiology of Sleep. Diabetes spectrum: a publication of the American Diabetes Association. 2016;29:5–9.

2. Suzuki K, Miyamoto M, Hirata K. Sleep disorders in the elderly: Diagnosis and management. Journal of general and family medicine. 2017;18:61–71. doi: 10.1002/jgf2.27 29263993

3. Chaput J-P, McNeil J, Després J-P, Bouchard C, Tremblay A. Seven to eight hours of sleep a night is associated with a lower prevalence of the metabolic syndrome and reduced overall cardiometabolic risk in adults. PloS one. 2013;8:e72832–e72832. doi: 10.1371/journal.pone.0072832 24039808

4. Ancoli-Israel S. Sleep and its disorders in aging populations. Sleep medicine. 2009;10 Suppl 1:S7–11.

5. Mazzoccoli G, Vendemiale G, La Viola M, De Cata A, Carughi S, Greco A, et al. Circadian variations of cortisol, melatonin and lymphocyte subpopulations in geriatric age. International journal of immunopathology and pharmacology. 2010;23:289–296. doi: 10.1177/039463201002300127 20378015

6. Mallampalli MP, Carter CL. Exploring sex and gender differences in sleep health: a Society for Women's Health Research Report. Journal of women's health (2002). 2014;23:553–562.

7. Ohayon MM, Reynolds CF 3rd, Dauvilliers Y. Excessive sleep duration and quality of life. Annals of neurology. 2013;73:785–794. doi: 10.1002/ana.23818 23846792

8. Redline S, Kirchner HL, Quan SF, Gottlieb DJ, Kapur V, Newman A. The effects of age, sex, ethnicity, and sleep-disordered breathing on sleep architecture. Archives of internal medicine. 2004;164:406–418. doi: 10.1001/archinte.164.4.406 14980992

9. Mong JA, Baker FC, Mahoney MM, Paul KN, Schwartz MD, Semba K, et al. Sleep, rhythms, and the endocrine brain: influence of sex and gonadal hormones. The Journal of neuroscience: the official journal of the Society for Neuroscience. 2011;31:16107–16116. doi: 10.1523/JNEUROSCI.4175-11.2011 22072663

10. Institute of Medicine Committee on Sleep M, Research. The National Academies Collection: Reports funded by National Institutes of Health. In: Colten HR, Altevogt BM, eds. Sleep Disorders and Sleep Deprivation: An Unmet Public Health Problem. Washington (DC): National Academies Press (US) National Academy of Sciences.; 2006.

11. Spira AP, Chen-Edinboro LP, Wu MN, Yaffe K. Impact of sleep on the risk of cognitive decline and dementia. Current opinion in psychiatry. 2014;27:478–483. doi: 10.1097/YCO.0000000000000106 25188896

12. Spiegel K, Knutson K, Leproult R, Tasali E, Van Cauter E. Sleep loss: a novel risk factor for insulin resistance and Type 2 diabetes. Journal of applied physiology (Bethesda, Md: 1985). 2005;99:2008–2019.

13. Leproult R, Deliens G, Gilson M, Peigneux P. Beneficial impact of sleep extension on fasting insulin sensitivity in adults with habitual sleep restriction. Sleep. 2015;38:707–715. doi: 10.5665/sleep.4660 25348128

14. Lemola S, Raikkonen K, Gomez V, Allemand M. Optimism and self-esteem are related to sleep. Results from a large community-based sample. International journal of behavioral medicine. 2013;20:567–571. doi: 10.1007/s12529-012-9272-z 23055029

15. Watson EJ, Coates AM, Kohler M, Banks S. Caffeine Consumption and Sleep Quality in Australian Adults. Nutrients. 2016;8.

16. Drapeau C, Hamel-Hebert I, Robillard R, Selmaoui B, Filipini D, Carrier J. Challenging sleep in aging: the effects of 200 mg of caffeine during the evening in young and middle-aged moderate caffeine consumers. Journal of sleep research. 2006;15:133–141. doi: 10.1111/j.1365-2869.2006.00518.x 16704567

17. Shilo L, Sabbah H, Hadari R, Kovatz S, Weinberg U, Dolev S, et al. The effects of coffee consumption on sleep and melatonin secretion. Sleep medicine. 2002;3:271–273. doi: 10.1016/s1389-9457(02)00015-1 14592218

18. Fernandez-Mendoza J, Calhoun SL, Bixler EO, Karataraki M, Liao D, Vela-Bueno A, et al. Sleep misperception and chronic insomnia in the general population: role of objective sleep duration and psychological profiles. Psychosomatic medicine. 2011;73:88–97. doi: 10.1097/PSY.0b013e3181fe365a 20978224

19. Cassidy S, Chau JY, Catt M, Bauman A, Trenell MI. Low physical activity, high television viewing and poor sleep duration cluster in overweight and obese adults; a cross-sectional study of 398,984 participants from the UK Biobank. The international journal of behavioral nutrition and physical activity. 2017;14:57–57. doi: 10.1186/s12966-017-0514-y 28454540

20. Kyle SD, Sexton CE, Feige B, Luik AI, Lane J, Saxena R, et al. Sleep and cognitive performance: cross-sectional associations in the UK Biobank. Sleep medicine. 2017;38:85–91. doi: 10.1016/j.sleep.2017.07.001 29031762

21. Anderson KN, Catt M, Collerton J, Davies K, Von Zglinicki T, Kirkwood TB, et al. Assessment of sleep and circadian rhythm disorders in the very old: the Newcastle 85+ Cohort Study. Age and ageing. 2014;43:57–63. doi: 10.1093/ageing/aft153 24123786

22. Biobank U. UK Biobank: Protocol for a large-scale prospective epidemiological resource. 2007 [cited. Available from: https://www.ukbiobank.ac.uk/resources/]

23. Doherty A, Jackson D, Hammerla N, Plotz T, Olivier P, Granat MH, et al. Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study. PLOS ONE. 2017;12:e0169649. doi: 10.1371/journal.pone.0169649 28146576

24. Van Hees VT, Fang Z, Zhao J, Heywood J, Mirkes E, Sabia S, et al. GGIR: Raw Accelerometer Data Analysis. R package version 1.7–1 ed. 2018.

25. van Hees VT, Sabia S, Anderson KN, Denton SJ, Oliver J, Catt M, et al. A Novel, Open Access Method to Assess Sleep Duration Using a Wrist-Worn Accelerometer. PLoS One. 2015;10:e0142533. doi: 10.1371/journal.pone.0142533 26569414

26. van Hees VT, Sabia S, Jones SE, Wood AR, Anderson KA, Kivimaki M, et al. Estimating sleep parameters using an accelerometer without sleep diary. Scientific reports. 2018;8:12975. doi: 10.1038/s41598-018-31266-z 30154500

27. Shan Z, Ma H, Xie M, Yan P, Guo Y, Bao W, et al. Sleep duration and risk of type 2 diabetes: a meta-analysis of prospective studies. Diabetes care. 2015;38:529–537. doi: 10.2337/dc14-2073 25715415

28. Biobank U. UK Biobank Data showcase. Available from: http://biobank.ndph.ox.ac.uk/showcase/

29. Cassidy S, Chau JY, Catt M, Bauman A, Trenell MI. Cross-sectional study of diet, physical activity, television viewing and sleep duration in 233 110 adults from the UK Biobank; the behavioural phenotype of cardiovascular disease and type 2 diabetes. BMJ Open 2016;6.

30. Zeitzer JM, Blackwell T, Hoffman AR, Cummings S, Ancoli-Israel S, Stone K. Daily Patterns of Accelerometer Activity Predict Changes in Sleep, Cognition, and Mortality in Older Men. The journals of gerontology Series A, Biological sciences and medical sciences. 2018;73:682–687. doi: 10.1093/gerona/glw250 28158467

31. Spira AP, Stone KL, Redline S, Ensrud KE, Ancoli-Israel S, Cauley JA, et al. Actigraphic Sleep Duration and Fragmentation in Older Women: Associations With Performance Across Cognitive Domains. Sleep. 2017;40.

32. Smagula SF, Stone KL, Redline S, Ancoli-Israel S, Barrett-Connor E, Lane NE, et al. Actigraphy- and Polysomnography-Measured Sleep Disturbances, Inflammation, and Mortality Among Older Men. Psychosomatic medicine. 2016;78:686–696. doi: 10.1097/PSY.0000000000000312 26894325

33. Maglione JE, Liu L, Neikrug AB, Poon T, Natarajan L, Calderon J, et al. Actigraphy for the assessment of sleep measures in Parkinson's disease. Sleep. 2013;36:1209–1217. doi: 10.5665/sleep.2888 23904681

34. Fung MM, Peters K, Ancoli-Israel S, Redline S, Stone KL, Barrett-Connor E. Total sleep time and other sleep characteristics measured by actigraphy do not predict incident hypertension in a cohort of community-dwelling older men. Journal of clinical sleep medicine: JCSM: official publication of the American Academy of Sleep Medicine. 2013;9:585–591.

35. Menai M, van Hees VT, Elbaz A, Kivimaki M, Singh-Manoux A, Sabia S. Accelerometer assessed moderate-to-vigorous physical activity and successful ageing: results from the Whitehall II study. Scientific reports. 2017;8:45772. doi: 10.1038/srep45772 28367987

36. Watson NF, Badr MS, Belenky G, Bliwise DL, Buxton OM, Buysse D, et al. Recommended Amount of Sleep for a Healthy Adult: A Joint Consensus Statement of the American Academy of Sleep Medicine and Sleep Research Society. Sleep. 2015;38:843–844. doi: 10.5665/sleep.4716 26039963

37. Dijk DJ, Groeger JA, Stanley N, Deacon S. Age-related reduction in daytime sleep propensity and nocturnal slow wave sleep. Sleep. 2010;33:211–223. doi: 10.1093/sleep/33.2.211 20175405

38. Loprinzi PD, Cardinal BJ. Association between objectively-measured physical activity and sleep, NHANES 2005–2006. Mental Health and Physical Activity. 2011;4:65–69.

39. Services USDoHaH. Physical Activity Guidelines Advisory Committee. Physical activity guidelines advisory committee report. 2008.

40. Allender S, Foster C, Scarborough P, Rayner M. The burden of physical activity-related ill health in the UK. Journal of epidemiology and community health. 2007;61:344–348. doi: 10.1136/jech.2006.050807 17372296

41. Mezick EJ, Matthews KA, Hall M, Strollo PJ Jr, Buysse DJ, Kamarck TW, et al. Influence of race and socioeconomic status on sleep: Pittsburgh SleepSCORE project. Psychosomatic medicine. 2008;70:410–416. doi: 10.1097/PSY.0b013e31816fdf21 18480189

42. Anders MP, Breckenkamp J, Blettner M, Schlehofer B, Berg-Beckhoff G. Association between socioeconomic factors and sleep quality in an urban population-based sample in Germany. European journal of public health. 2014;24:968–973. doi: 10.1093/eurpub/ckt175 24280873

43. Mniszek DH. Brighton Sleep Survey: A Study of Sleep in 20–45-Year Olds. Journal of International Medical Research. 1988;16:61–65. doi: 10.1177/030006058801600107 3350205

44. Loftfield E, Freedman ND, Dodd KW, Vogtmann E, Xiao Q, Sinha R, et al. Coffee Drinking Is Widespread in the United States, but Usual Intake Varies by Key Demographic and Lifestyle Factors. The Journal of nutrition. 2016;146:1762–1768. doi: 10.3945/jn.116.233940 27489008

45. Clark I, Landolt HP. Coffee, caffeine, and sleep: A systematic review of epidemiological studies and randomized controlled trials. Sleep Medicine Reviews. 2017;31:70–78. doi: 10.1016/j.smrv.2016.01.006 26899133

46. van den Berg JF, Miedema HM, Tulen JH, Hofman A, Neven AK, Tiemeier H. Sex differences in subjective and actigraphic sleep measures: a population-based study of elderly persons. Sleep. 2009;32:1367–1375. doi: 10.1093/sleep/32.10.1367 19848365

47. Baker FC, Kahan TL, Trinder J, Colrain IM. Sleep quality and the sleep electroencephalogram in women with severe premenstrual syndrome. Sleep. 2007;30:1283–1291. doi: 10.1093/sleep/30.10.1283 17969462


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