Abstract
Purpose
The objective of this analysis was to assess whether the association between sleep duration and BMI and between sleep duration and waist circumference is moderated by age and self-perceived stress.
Methods
We analyzed data from 2034 participants enrolled in 2014 in the cross-sectional study Obesity in Romania Study—study of the prevalence of obesity and related risk factors in Romanian general population (ORO study).
Results
Interaction between sleep duration, self-perceived stress and age, with BMI as dependent variable, was statistically significant after adjustment for demographic and lifestyle factors (p value for interaction 0.003). In participants without self-perceived stress, a linear negative association between sleep duration and BMI was observed only in those 18–39 years old (p = 0.049), with BMI decreasing in parallel with increased sleep duration. In participants with self-perceived stress, a U-shaped relationship was observed between BMI and sleep duration in those 40–64 years old, with higher BMI in those sleeping ≤ 6 h and ≥ 9 h/night compared to those sleeping > 6 and < 9 h/night (p = 0.002 and 0.005). Those ≥ 65 years old with self-perceived stress sleeping ≥ 9 h/night had a significantly higher BMI compared to those in other sleep duration categories (p = 0.041 vs. those sleeping ≤ 6 h/night and p = 0.013 vs. to those sleeping > 6 and < 9 h/night). No interaction between age, self-perceived stress and sleep duration, with waist circumference as dependent variable was observed.
Conclusions
In our sample, the association between sleep duration and BMI was moderated by self-perceived stress and age.
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Data availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
World Health Organization (2014) Global status report on noncommunicable diseases 2014. Attaining the nine global noncommunicable diseases targets; a shared responsibility. http://www.who.int/nmh/publications/ncd-status-report-2014/en/. Accessed 27 June 2018
McCrory MA, Campbell WW (2011) Effects of eating frequency, snacking, and breakfast skipping on energy regulation: symposium overview. J Nutr 141: 144–147. https://doi.org/10.3945/jn.109.114918
Roman G, Bala C, Creteanu G et al (2015) Obesity and health-related lifestyle factors in the general population in Romania: a cross sectional study. Acta Endocrinol (Buc) 11:64–72. https://doi.org/10.4183/aeb.2015.64
Arabshahi S, van der Pols JC, Williams GM, Marks GC, Lahmann PH (2012) Diet quality and change in anthropometric measures: 15-year longitudinal study in Australian adults. Br J Nutr 107:1376–1385. https://doi.org/10.1017/S0007114511004351
Park SY, Murphy SP, Wilkens LR, Yamamoto JF, Sharma S, Hankin JH, Henderson BE, Kolonel LN (2005) Dietary patterns using the Food Guide Pyramid groups are associated with sociodemographic and lifestyle factors: the multiethnic cohort study. J Nutr 135:843–849. https://doi.org/10.1093/jn/135.4.843
Cappuccio FP, Taggart FM, Kandala NB, Currie A, Peile E, Stranges S, Miller MA (2008) Meta-analysis of short sleep duration and obesity in children and adults. Sleep 31:619–626. https://doi.org/10.1093/sleep/31.5.619
Wu Y, Zhai L, Zhang D (2014) Sleep duration and obesity among adults: a meta-analysis of prospective studies. Sleep Med 15:1456–1462. https://doi.org/10.1016/j.sleep.2014.07.018
Briancon-Marjollet A, Weiszenstein M, Henri M, Thomas A, Godin-Ribuot D, Polak J (2015) The impact of sleep disorders on glucose metabolism: endocrine and molecular mechanisms. Diabetol Metab Syndr 7:25. https://doi.org/10.1186/s13098-015-0018-3
Theorell-Haglow J, Lindberg E (2016) Sleep duration and obesity in adults: what are the connections? Curr Obes Rep 5:333–343. https://doi.org/10.1007/s13679-016-0225-8
Stranges S, Cappuccio FP, Kandala NB et al (2008) Cross-sectional versus prospective associations of sleep duration with changes in relative weight and body fat distribution: the Whitehall II Study. Am J Epidemiol 167:321–329. https://doi.org/10.1093/aje/kwm302
Magee CA, Caputi P, Iverson DC (2010) Is sleep duration associated with obesity in older Australian adults? J Aging Health 22:1235–1255. https://doi.org/10.1177/0898264310372780
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. https://doi.org/10.3390/ijerph14060566
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 Med 1:e62. https://doi.org/10.1371/journal.pmed.0010062
Chaput JP, Despres JP, Bouchard C, Tremblay A (2008) The association between sleep duration and weight gain in adults: a 6-year prospective study from the Quebec Family Study. Sleep 31:517–523. https://doi.org/10.1093/sleep/31.4.517
Silva GE, Goodwin JL, Parthasarathy S, Sherrill DL, Vana KD, Drescher AA, Quan SF (2011) Longitudinal association between short sleep, body weight, and emotional and learning problems in Hispanic and Caucasian children. Sleep 34:1197–1205. https://doi.org/10.5665/SLEEP.1238
Baum A, Polsusnzy D (1999) Health psychology: mapping biobehavioral contributions to health and illness. Annu Rev Psychol 50:137–163. https://doi.org/10.1146/annurev.psych.50.1.137
Fowler-Brown AG, Bennett GG, Goodman MS, Wee CC, Corbie-Smith GM, James SA (2009) Psychosocial stress and 13-year BMI change among blacks: the Pitt County Study. Obesity (Silver Spring) 17:2106–2109. https://doi.org/10.1038/oby.2009.130
Tucker LA, Earl AB (2010) Emotional health and weight gain: a prospective study of midlife women. Am J Health Promot 25:30–35. https://doi.org/10.4278/ajhp.090122-QUAN-22
Rutters F, Nieuwenhuizen AG, Lemmens SG, Born JM, Westerterp-Plantenga MS (2009) Acute stress-related changes in eating in the absence of hunger. Obesity (Silver Spring) 17:72–77. https://doi.org/10.1038/oby.2008.493
Vgontzas AN, Fernandez-Mendoza J, Miksiewicz T, Kritikou I, Shaffer ML, Liao D, Basta M, Bixler EO (2014) Unveiling the longitudinal association between short sleep duration and the incidence of obesity: the Penn State Cohort. Int J Obes (Lond) 38:825–832. https://doi.org/10.1038/ijo.2013.172
Roman G, Bala C, Craciun A, Craciun IC, Rusu A (2016) Eating patterns, physical activity and their association with demographic factors in the population included in the obesity study in Romania (ORO Study). Acta Endocrinol (Buc) 12:47–51. https://doi.org/10.4183/aeb.2016.47
Nurses Health Questionnaire. http://www.channing.harvard.edu/nhs/?page_id=52. Accessed 08 Dec 2014
Grandner MA, Schopfer EA, Sands-Lincoln M, Jackson N, Malhotra A (2015) Relationship between sleep duration and body mass index depends on age. Obesity (Silver Spring) 23:2491–2498. https://doi.org/10.1002/oby.21247
Doo M, Kim Y (2017) The risk of being obese according to short sleep duration is modulated after menopause in Korean women. Nutrients. https://doi.org/10.3390/nu9030206
Colpani V, Oppermann K, Spritzer PM (2013) Association between habitual physical activity and lower cardiovascular risk in premenopausal, perimenopausal, and postmenopausal women: a population-based study. Menopause 20:525–531. https://doi.org/10.1097/gme.0b013e318271b388
Geiker NRW, Astrup A, Hjorth MF, Sjödin A, Pijls L, Markus CR (2018) Does stress influence sleep patterns, food intake, weight gain, abdominal obesity and weight loss interventions and vice versa? Obes Rev 19:81–97. https://doi.org/10.1111/obr.12603
Jackson ML, Sztendur EM, Diamond NT, Byles JE, Bruck D (2014) Sleep difficulties and the development of depression and anxiety: a longitudinal study of young Australian women. Arch Womens Ment Health 17:189–198. https://doi.org/10.1007/s00737-014-0417-8
Choi DW, Chun SY, Lee SA, Han KT, Park EC (2018) Association between sleep duration and perceived stress: salaried worker in circumstances of high workload. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph15040796
Baron KG, Reid KJ, Kern AS, Zee PC (2011) Role of sleep timing in caloric intake and BMI. Obesity (Silver Spring) 19:1374–1381. https://doi.org/10.1038/oby.2011.100
Eleuteri S, Norton MC, Livi F, Grano C, Falaschi P, Violani C, Lucidi F, Lombardo C (2018) Sleep quality as predictor of BMI in non-depressed caregivers of people with dementia. Eat Weight Disord 23:553–560. https://doi.org/10.1007/s40519-018-0560-8
Acknowledgements
This work was supported by the Coca-Cola Foundation (Grant year 2013). Coca-Cola Foundation had no role in the study design, data collection analysis and interpretation, writing of this manuscript or decision to submit this manuscript.
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All authors declare fees from Coca Cola Foundation through Research Consulting Association during the conduct of the study. The authors have no non-financial conflict of interest to declare related to the conduct of the study and the development of the present manuscript.
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Rusu, A., Bala, C., Graur, M. et al. Sleep duration and body mass index: moderating effect of self-perceived stress and age. Results of a cross-sectional population-based study. Eat Weight Disord 24, 1089–1097 (2019). https://doi.org/10.1007/s40519-019-00665-0
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DOI: https://doi.org/10.1007/s40519-019-00665-0