Associations between nocturnal sleep duration, midday nap duration and body composition among adults in Southwest China
Autoři:
Mengxue Chen aff001; Xiao Zhang aff001; Yi Liang aff001; Hongmei Xue aff002; Yunhui Gong aff003; Jingyuan Xiong aff001; Fang He aff001; Yanfang Yang aff001; Guo Cheng aff005
Působiště autorů:
West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, P.R. China
aff001; College of Public Health, Hebei University, Baoding, P. R. China
aff002; Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) of Ministry of Education, Chengdu, P. R. China
aff003; Department of Obstetrics and Gynecology, Longquanyi District of Chengdu Maternity & Child Health Care Hospital, Chengdu, P. R. China
aff004; West China School of Public Health and Healthy Food Evaluation Research Center and State Key Laboratory of Biotherapy and Cancer Center, Sichuan University, Chengdu, P.R. China
aff005
Vyšlo v časopise:
PLoS ONE 14(10)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0223665
Souhrn
Objective
We aim to explore the relationship between nocturnal sleep duration (NSD) and midday nap duration (MND) with body composition among Southwest Chinese adults.
Methods
Data on sleep duration of 3145 adults in Southwest China (59.4% women) were obtained between 2014 and 2015 through questionnaires. Height, weight, and waist circumference (WC) were measured to calculate body composition (body mass index (BMI), percentage of body fat (%BF), and fat mass index (FMI)). Linear regression models were used to assess gender-specific associations between NSD and body composition. The relationship between MND with the odds of overweight and central obesity has been evaluated by logistic regression models.
Results
NSD has the inverse relation with males’ BMI, WC, %BF and FMI after adjusting for all covariates (all P <0.0007), exclusive of females’ (all P >0.4). After adjustment for potential confounders, compared to the subjects in the no midday nap group, the subjects who napped 0.1–1 hour were independently associated with a less prevalence of overweight in both women (OR: 0.72, 95%CI: 0.55–0.95) and men (OR: 0.71, 95%CI: 0.52–0.98). MND was not associated with central obesity.
Conclusions
Among Southwest Chinese adults, lower NSD might be related to higher BMI, WC, %BF and FMI among men. Additionally, MND is associated with overweight in adults.
Klíčová slova:
Adipose tissue – Adults – Body Mass Index – Educational attainment – Exercise – Obesity – Physical activity – Sleep
Zdroje
1. Vucenik I, Stains JP (2012) Obesity and cancer risk: evidence, mechanisms, and recommendations. Annals of the New York Academy of Sciences 1271: 37–43. doi: 10.1111/j.1749-6632.2012.06750.x 23050962
2. Abdullah A, Peeters A, De CM, Stoelwinder J (2010) The magnitude of association between overweight and obesity and the risk of diabetes: a meta-analysis of prospective cohort studies. Diabetes Research & Clinical Practice 89: 309–319.
3. Jiang J, Ahn J, Huang WY, Hayes RB (2013) Association of obesity with cardiovascular disease mortality in the PLCO trial. Preventive Medicine 57: 60–64. doi: 10.1016/j.ypmed.2013.04.014 23632233
4. Mi YJ, Zhang B, Wang HJ, Yan J, Han W, Zhao J, et al. (2015) Prevalence and Secular Trends in Obesity Among Chinese Adults, 1991–2011. American Journal of Preventive Medicine 49: 661–669. doi: 10.1016/j.amepre.2015.05.005 26275960
5. Krueger PM, Friedman EM (2009) Sleep Duration in the United States: A Cross-sectional Population-based Study. American Journal of Epidemiology 169: 1052–1063. doi: 10.1093/aje/kwp023 19299406
6. Ford ES, Li C, Wheaton AG, Chapman DP, Perry GS, Croft JB (2014) Sleep duration and body mass index and waist circumference among U.S. adults. Obesity 22: 598–607. doi: 10.1002/oby.20558 23836704
7. Dashti HS, Follis JL, Smith CE, Tanaka T, Cade BE, Gottlieb DJ, et al. (2015) Habitual sleep duration is associated with BMI and macronutrient intake and may be modified by CLOCK genetic variants. American Journal of Clinical Nutrition 101: 135–143. doi: 10.3945/ajcn.114.095026 25527757
8. Meyer KA, Wall MM, Larson NI, Laska MN, Neumarksztainer D (2012) Sleep duration and body mass index in a sample of young adults. Obesity 20: 1279. doi: 10.1038/oby.2011.381 22282051
9. Sperry SD, Scully ID, Gramzow RH, Jorgensen RS (2015) Sleep Duration and Waist Circumference in Adults: A Meta-Analysis. Sleep 38: 1269–1276. doi: 10.5665/sleep.4906 25581918
10. Rontoyanni VG, Baic S, Cooper AR (2007) Association between nocturnal sleep duration, body fatness, and dietary intake in Greek women. Nutrition 23: 773–777. doi: 10.1016/j.nut.2007.07.005 17884345
11. Sun X, Zheng B, Lv J, Guo Y, Bian Z, Yang L, et al. (2018) Sleep behavior and depression: Findings from the China Kadoorie Biobank of 0.5 million Chinese adults. J Affect Disord 229: 120–124. doi: 10.1016/j.jad.2017.12.058 29306691
12. Meyer KA, Wall MM, Larson NI, Laska MN, Neumark-Sztainer D (2012) Sleep duration and body mass index in a sample of young adults. Obesity 20: 1279. doi: 10.1038/oby.2011.381 22282051
13. Ko G, Chan J, Aw, Wong P, Hui S, Tong S, Ng S, et al. (2007) Association between sleeping hours, working hours and obesity in Hong Kong Chinese: the 'better health for better Hong Kong' health promotion campaign. Int J Obes 31: 254–260.
14. St-Onge MP, Perumean-Chaney S, Desmond R, Lewis CE, Yan LL, Person SD, et al. (2009) Gender Differences in the Association between Sleep Duration and Body Composition: The Cardia Study. International Journal of Endocrinology,2010,(2009-11-12) 2010: 726071. doi: 10.1155/2010/726071 20049158
15. Peltzer K, Pengpid S (2017) Sleep Duration, Sleep Quality, Body Mass Index, and Waist Circumference among Young Adults from 24 Low- and Middle-Income and Two High-Income Countries. Int J Environ Res Public Health 14: 566.
16. Lucassen EA (2013) To nap or not to nap: is the Wujiao a healthy habit? Sleep Medicine 14: 929. doi: 10.1016/j.sleep.2013.05.010 23831241
17. Sayónorea C, Besrastrollo M, Carlos S, Beunza JJ, Basterragortari FJ, Martínezgonzález MA (2013) Association between Sleeping Hours and Siesta and the Risk of Obesity: The SUN Mediterranean Cohort. Obesity Facts 6: 337–347. doi: 10.1159/000354746 23970143
18. Guo C, Xue H, Luo J, Jia H, Zhang L, Dai J, et al. (2017) Relevance of the dietary glycemic index, glycemic load and genetic predisposition for the glucose homeostasis of Chinese adults without diabetes. Sci Rep 7: 400. doi: 10.1038/s41598-017-00453-9 28341844
19. Yu D, Zhang X, Xiang YB, Yang G, Li H, Gao YT, et al. (2014) Adherence to dietary guidelines and mortality: a report from prospective cohort studies of 134,000 Chinese adults in urban Shanghai. American Journal of Clinical Nutrition 100: 693–700. doi: 10.3945/ajcn.113.079194 24944055
20. Hirshkowitz M, Whiton K, Albert SM, Alessi C, Bruni O, Doncarlos L, et al. (2015) National Sleep Foundation's sleep time duration recommendations: methodology and results summary. Sleep Health 1: 40–43. doi: 10.1016/j.sleh.2014.12.010 29073412
21. Lin D, Sun K, Li F, Qi Y, Ren M, Huang C, et al. (2014) Association between habitual daytime napping and metabolic syndrome: a population-based study. Metabolism-clinical & Experimental 63: 1520–1527.
22. Listed N (1995) Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee.
23. Alberti G, Zimmet P, Shaw J, Grundy SM (2006) The IDF consensus worldwide definition of the metabolic syndrome. http://www.idforg/webdata/docs/Metac_syndrome_defpdf.
24. Liu X, Sun Q, Sun L, Zong G, Lu L, Liu G, et al. (2015) The development and validation of new equations for estimating body fat percentage among Chinese men and women. Br J Nutr 113: 1365–1372. doi: 10.1017/S0007114515000616 25850941
25. Vanitallie TB, Yang MU, Heymsfield SB, Funk RC, Boileau RA (1990) Height-normalized indices of the body's fat-free mass and fat mass: potentially useful indicators of nutritional status. American Journal of Clinical Nutrition 52: 953–959. doi: 10.1093/ajcn/52.6.953 2239792
26. Cheng G, Duan R, Kranz S, Libuda L, Zhang L (2016) Development of a Dietary Index to Assess Overall Diet Quality for Chinese School-Aged Children: The Chinese Children Dietary Index. Journal of the Academy of Nutrition & Dietetics 116: 608–617.
27. Yang Y, Wang G, Pan X (2009) China food composition: Peking University Medical Press.
28. Matthews CE, Shu XO, Yang G, Jin F, Ainsworth BE, Liu D, et al. (2003) Reproducibility and Validity of the Shanghai Women’s Health Study Physical Activity Questionnaire. American Journal of Epidemiology 158: 1114–1122. doi: 10.1093/aje/kwg255 14630608
29. Ainsworth BE, Haskell WL, Herrmann SD, Meckes N, Jr BD, Tudorlocke C, et al. (2011) 2011 Compendium of Physical Activities: a second update of codes and MET values. Medicine & Science in Sports & Exercise 43: 1575.
30. Taheri S, Lin L, Austin D, Young T, Mignot E (2004) Short Sleep Duration Is Associated with Reduced Leptin, Elevated Ghrelin, and Increased Body Mass Index. Plos Medicine 1: e62. doi: 10.1371/journal.pmed.0010062 15602591
31. Lin D, Sun K, Li F, Qi Y, Ren M, Huang C, et al. (2014) Association between habitual daytime napping and metabolic syndrome: a population-based study. Metabolism-clinical & Experimental 63: 1520–1527.
32. Luo Z, Inou S (2010) A short daytime nap modulates levels of emotions objectively evaluated by the emotion spectrum analysis method. Psychiatry & Clinical Neurosciences 54: 207–212.
33. Naska A, Oikonomou E, Trichopoulou A, Psaltopoulou T, Trichopoulos D (2007) Siesta in healthy adults and coronary mortality in the general population. Archives of Internal Medicine 167: 296–301. doi: 10.1001/archinte.167.3.296 17296887
34. Vgontzas AN, Lin HM, Papaliaga M, Calhoun S, Vela-Bueno A, Chrousos GP, et al. (2008) Short sleep duration and obesity: the role of emotional stress and sleep disturbances. Int J Obes 32: 801–809.
35. Shan Z, Ma H, Xie M, Yan P, Guo Y, Bao W, et al. (2015) Sleep duration and risk of type 2 diabetes: a meta-analysis of prospective studies. Diabetes Care 38: 529. doi: 10.2337/dc14-2073 25715415
36. Silva GE, Goodwin JL, Sherrill DL, Arnold JL, Bootzin RR, Smith T, et al. (2007) Relationship Between Reported and Measured Sleep Times: The Sleep Heart Health Study (SHHS). Journal of Clinical Sleep Medicine 3: 622–630. 17993045
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