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Epidemiology and Population Health

Association between objectively measured sleep duration, adiposity and weight loss history

Abstract

Background

An association between sleep and obesity has been suggested in several studies, but many previous studies relied on self-reported sleep and on BMI as the only adiposity measure. Moreover, a relationship between weight loss history and attained sleep duration has not been thoroughly explored.

Design

The study comprised of 1202 participants of the European NoHoW trial who had achieved a weight loss of ≥5% and had a BMI of ≥25 kg/m2 prior to losing weight. Information was available on objectively measured sleep duration (collected during 14 days), adiposity measures, weight loss history and covariates. Regression models were conducted with sleep duration as the explanatory variable and BMI, fat mass index (FMI), fat-free mass index (FFMI) and waist-hip ratio (WHR) as response variables. Analyses were conducted with 12-month weight loss, frequency of prior weight loss attempts or average duration of weight maintenance after prior weight loss attempts as predictors of measured sleep duration.

Results

After adjusting for physical activity, perceived stress, smoking, alcohol consumption, education, sex and age, sleep duration was associated to BMI (P < 0.001), with the highest BMI observed in the group of participants sleeping <6 h a day [34.0 kg/m2 (95% CI: 31.8–36.1)]. Less difference in BMI was detected between the remaining groups, with the lowest BMI observed among participants sleeping 8–<9 h a day [29.4 kg/m2 (95% CI: 28.8–29.9)]. Similar results were found for FMI (P = 0.008) and FFMI (P < 0.001). We found no association between sleep duration and WHR. Likewise, we found no associations between weight loss history and attained sleep duration.

Conclusion

In an overweight population who had achieved a clinically significant weight loss, short sleep duration was associated with higher BMI, with similar associations for fat and lean mass. We found no evidence of association between weight loss history and attained sleep duration.

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Fig. 1: Association between sleep duration and adiposity measures.

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References

  1. National Sleep Foundation. Sleep in America poll—adult sleep habits and styles. Washington, D.C.: National Sleep Foundation; 2005.

  2. Currie A, Cappuccio FP, Stranges S, Taggart FM, Miller MA, Kandala NB, et al. Meta-analysis of short sleep duration and obesity in children and adults. Sleep. 2008;31:619–26.

    Article  Google Scholar 

  3. Magee L, Hale L. Longitudinal associations between sleep duration and subsequent weight gain: a systematic review. Sleep Med Rev. 2012;16:231–41.

    Article  Google Scholar 

  4. Patel SR, Hu FB. Short sleep duration and weight gain: a systematic review. Obesity (Silver Spring). 2008;106:643–53.

    Article  Google Scholar 

  5. Marshall NS, Glozier N, Grunstein RR. Is sleep duration related to obesity? A critical review of the epidemiological evidence. Sleep Med Rev. 2008;12:289–98.

    Article  Google Scholar 

  6. Taheri S, Lin L, Austin D, Young T, Mignot E. Short sleep duration is associated with reduced leptin, elevated ghrelin, and increased body mass index. PLOS Med. 2004;1:e62.

    Article  Google Scholar 

  7. Kripke DF, Garfinkel L, Wingard DL, Klauber MR, Marler MR. Mortality associated with sleep duration and insomnia. Arch Gen Psychiatry. 2002;59:131–6.

    Article  Google Scholar 

  8. Wu Y, Zhai L, Zhang D. Sleep duration and obesity among adults: a meta-analysis of prospective studies. Sleep Med. 2014;15:1456–62.

    Article  Google Scholar 

  9. Knutson KL, Spiegel K, Penev P, Van CE. The metabolic consequences of sleep deprivation. Sleep Med Rev. 2007;11:163–78.

    Article  Google Scholar 

  10. Liu C, Chen MS, Yu H. The relationship between obstructive sleep apnea and obesity hypoventilation syndrome: a systematic review and meta-analysis. Oncotarget. 2017;8:93168–78.

    Article  Google Scholar 

  11. Anandam A, Akinnusi M, Kufel T, Porhomayon J, El-Solh AA. Effects of dietary weight loss on obstructive sleep apnea: a meta-analysis. Sleep Breath. 2013;17:227–34.

    Article  Google Scholar 

  12. Greenburg DL, Lettieri CJ, Eliasson AH. Effects of surgical weight loss on measures of obstructive sleep apnea: a meta-analysis. Am J Med. 2009;122:535–42.

    Article  Google Scholar 

  13. Nam S, Stewart KJ, Dobrosielski DA. Lifestyle intervention for sleep disturbances among overweight or obese individuals. Behav Sleep Med. 2016;14:343–50.

    Article  Google Scholar 

  14. Kalra M, Mannaa M, Fitz K, Kumar S, Chakraborty R, Sheng X, et al. Effect of surgical weight loss on sleep architecture in adolescents with severe obesity. Obes Surg. 2008;18:675–9.

  15. Andreeva VA, Torres MJ, Léger D, Bayon V, Gonzalez P, de Edelenyi FS, et al. Major change in body weight over 5-áyears and total sleep time: investigation of effect modification by sex and obesity in a large e-cohort. Int J Behav Med. 2017;24:493–500.

    Article  Google Scholar 

  16. Schwartz AR, Patil SP, Laffan AM, Polotsky V, Schneider H, Smith PL. Obesity and obstructive sleep apnea: pathogenic mechanisms and therapeutic approaches. Proc Am Thorac Soc. 2008;5:185–92.

    Article  Google Scholar 

  17. Davies RJ, Stradling JR. The relationship between neck circumference, radiographic pharyngeal anatomy, and the obstructive sleep apnoea syndrome. Eur Respir J. 1990;3:509–14.

    CAS  PubMed  Google Scholar 

  18. Schwab RJ, Pasirstein M, Pierson R, Mackley A, Hachadoorian R, Arens R, et al. Identification of upper airway anatomic risk factors for obstructive sleep apnea with volumetric magnetic resonance imaging. Am J Respir Crit Care Med. 2003;168:522–30.

    Article  Google Scholar 

  19. Sharp JT, Henry JP, Sweany SK, Meadows WR, Pietras RJ. Effects of mass loading the respiratory system in man. J Appl Physiol. 1964;19:959–66.

    Article  CAS  Google Scholar 

  20. Parra MD, Martinez de Morentin BE, Alfredo MJ. Impact of weight loss on cortisol secretion in obese men with and without metabolic syndrome features. Nutr Metab Cardiovasc Dis. 2006;16:28–34.

    Article  CAS  Google Scholar 

  21. Bjorntorp P, Rosmond R. Obesity and cortisol. Nutrition. 2000;16:924–36.

    Article  CAS  Google Scholar 

  22. Fehm HL, Benkowitsch R, Kern W, Fehm-Wolfsdorf G, Pauschinger P, Born J. Influences of corticosteroids, dexamethasone and hydrocortisone on sleep in humans. Neuropsychobiology. 1986;16:198–204.

    Article  CAS  Google Scholar 

  23. Scott SE, Duarte C, Encantado J, Evans EH, Harjumaa M, Heitmann BL, et al. The NoHoW protocol: a multicenter 2 × 2 factorial randomized controlled trial investigating an evidence-based digital toolkit for weight loss maintenance in European adults. BMJ Open. 2019;9:e029425.

  24. Fitbit Charge 2. User Manual: Version 1.2. 2019. https://staticcs.fitbit.com/content/assets/help/manuals/manual_charge_2_en_US.pdf.

  25. Fitbit Help: What should I know about sleep stages? 2019. https://help.fitbit.com/articles/en_US/Help_article/2163.

  26. Moissl UM, Wabel P, Chamney PW, Bosaeus I, Levin NW, Bosy-Westphal A, et al. Body fluid volume determination via body composition spectroscopy in health and disease. Physiol Meas. 2006;27:921–33.

  27. UNESCO Institute for Statistics. International Standard Classification of Education: ISCED 2011. UNESCO Institute for Statistics. Montreal. 2012.

  28. Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983;24:385–96.

    Article  CAS  Google Scholar 

  29. Gray DS, Bauer M. The relationship between body fat mass and fat-free mass. J Am Coll Nutr. 1991;10:63–8.

    Article  Google Scholar 

  30. Bjorvatn B, Sagen IM, Øyane N, Waage S, Fetveit A, Fetveit A, et al. The association between sleep duration, body mass index and metabolic measures in the Hordaland Health Study. J Sleep Res. 2007;16:66–76.

    Article  Google Scholar 

  31. Chaput JP, Després JP, Bouchard C, Tremblay A. Short sleep duration is associated with reduced leptin levels and increased adiposity: results from the Qubec family study. Obesity. 2007;15:253–61.

    Article  CAS  Google Scholar 

  32. Singh M, DrakeCL, Roehrs T, Hudgel DW, Roth T. The association between obesity and short sleep duration: a population-based study. J Clin Sleep Med. 2005;1:357–63.

    Article  Google Scholar 

  33. Zimberg IZ, Dâmaso A, Del Re M, Carneiro AM, de Sá Souza H, de Lira FS, et al. Short sleep duration and obesity: mechanisms and future perspectives. Cell Biochem Funct. 2012;30:524–9.

    Article  CAS  Google Scholar 

  34. Kim K, Shin D, Jung GU, Lee D, Park SM. Association between sleep duration, fat mass, lean mass and obesity in Korean adults: the fourth and fifth Korea National Health and Nutrition Examination Surveys. J Sleep Res. 2017;26:453–60.

    Article  Google Scholar 

  35. Baird J, Hill CM, Harvey NC, Crozier S, Robinson SM, Godfrey KM, et al. Duration of sleep at 3-áyears of age is associated with fat and fat-free mass at 4-áyears of age: the Southampton Women’s Survey. J Sleep Res. 2016;25:412–8.

    Article  Google Scholar 

  36. Lane JM, Liang J, Vlasac I, Anderson SG, Bechtold DA, Bowden J, et al. Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits. Nature Genet. 2016;49:274.

    Article  Google Scholar 

  37. Locke AE, Kahali B, Berndt SI, Justice AE, Pers TH, Day FR, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015;518:197–206.

    Article  CAS  Google Scholar 

  38. Karasik D, Chou WC, Kiel DP, Hsu YH, Amin N, van-áDuijn CM, et al. Disentangling the genetics of lean mass. Am J Clin Nutr. 2019;109:276–87.

    Article  Google Scholar 

  39. Valladares M, Obregón AM, Chaput JP. Association between genetic variants of the clock gene and obesity and sleep duration. J Physiol Biochem. 2015;71:855–60.

    Article  Google Scholar 

  40. de Zambotti M, Goldstone A, Claudatos S, Colrain IM, Baker FC. A validation study of Fitbit Charge 2 compared with polysomnography in adults. Chronobiol Int. 2018;35:465–76.

    Article  Google Scholar 

  41. Dahl AK, Reynolds CA. Accuracy of recalled body weight—a study with 20-years of follow-up. Obesity. 2013;21:1293–8.

    Article  Google Scholar 

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Acknowledgements

The NoHoW study has received founding from the European Union’s Horizon 2020 Research and Innovation Programme (grant agreement number: 643309). The Parker Institute is supported by a core grant from the Oak Foundation (grant agreement number: OCAY-18-774-OFIL).

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Correspondence to Sofus C. Larsen.

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The authors declare that they have no conflict of interest.

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The study was conducted in accordance with the Helsinki Declaration. Ethical approval has been granted by local institutional ethics committees at the Universities of Leeds (17-0082; 27-Feb-2017), Lisbon (17/2016; 20-Feb-2017) and the Capital Region of Denmark (H-16030495; 8-Mar-2017).

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Larsen, S.C., Horgan, G., Mikkelsen, ML.K. et al. Association between objectively measured sleep duration, adiposity and weight loss history. Int J Obes 44, 1577–1585 (2020). https://doi.org/10.1038/s41366-020-0537-3

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