The Association Between Short Sleep Duration and Obesity in Young Adults: a 13-Year Prospective Study

Hasler, Gregor; Buysse, Daniel J.; Klaghofer, Richard; Gamma, Alex; Ajdacic, Vladeta; Eich, Dominique; Rössler, Wulf; Angst, Jules

doi:10.1093/sleep/27.4.661

Cited by 578 publications

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“…Reciprocal relations among anxiety, distress, strain, depression and sleep disturbances have been suggested earlier [4,6,30,56]. These psychological symptoms are closely linked to obesity, smoking and physical inactivity [14,17,22,35,43,51,53], which have been suggested as risk factors for neck, shoulder and low back pains in adolescence [5,25,31,32,42]. Our findings that insufficient quantity or quality of sleep increases the risk of neck and low back pains independently of depressive mood, physical activity, sedentary behavior, smoking, BMI and parents' socioeconomic status may indicate that it has a mediating effect, explaining the relationship between social pressures, psychological symptoms and musculoskeletal pains.…”

Section: Discussionmentioning

confidence: 57%

Is insufficient quantity and quality of sleep a risk factor for neck, shoulder and low back pain? A longitudinal study among adolescents

et al. 2009

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The quantity and quality of adolescents' sleep may have changed due to new technologies. At the same time, the prevalence of neck, shoulder and low back pain has increased. However, only a few studies have investigated insufficient quantity and quality of sleep as possible risk factors for musculoskeletal pain among adolescents. The aim of the study was to assess whether insufficient quantity and quality of sleep are risk factors for neck (NP), shoulder (SP) and low back pain (LBP). A 2-year followup survey among adolescents aged 15-19 years was (2001)(2002)(2003) carried out in a subcohort of the Northern Finland Birth Cohort 1986 (n = 1,773). The outcome measures were 6-month period prevalences of NP, SP and LBP. The quantity and quality of sleep were categorized into sufficient, intermediate or insufficient, based on average hours spent sleeping, and whether or not the subject suffered from nightmares, tiredness and sleeping problems. The odds ratios (OR) and 95% confidence intervals (CI) for having musculoskeletal pain were obtained through logistic regression analysis, adjusted for previously suggested risk factors and finally adjusted for specific pain status at 16 years. The 6-month period prevalences of neck, shoulder and low back pain were higher at the age of 18 than at 16 years. Insufficient quantity or quality of sleep at 16 years predicted NP in both girls (OR 4.4; CI 2.2-9.0) and boys (2.2; 1.2-4.1). Similarly, insufficient sleep at 16 years predicted LBP in both girls (2.9; 1.7-5.2) and boys (2.4; 1.3-4.5), but SP only in girls (2.3; 1.2-4.4). After adjustment for pain status, insufficient sleep at 16 years predicted significantly only NP (3.2; 1.5-6.7) and LBP (2.4; 1.3-4.3) in girls. Insufficient sleep quantity or quality was an independent risk factor for NP and LBP among girls. Future studies should test whether interventions aimed at improving sleep characteristics are effective in the prevention and treatment of musculoskeletal pain.

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Section: Discussionmentioning

confidence: 57%

Is insufficient quantity and quality of sleep a risk factor for neck, shoulder and low back pain? A longitudinal study among adolescents

et al. 2009

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“…Moreover, we were able to control for important variables, like mental health, OSA and physical activity, which were not assessed by Ko et al 43 Despite the above differences in the analytical design, the results in our study are in line with those reported by Ko et al 43 Earlier epidemiological studies on the association between sleep duration or quality and obesity in adults have used only BMI as the indicator of obesity. 12,16,44 We showed that the associations are rather similar, regardless of the chosen outcome (waist or BMI). The model predicting abdominal obesity was somewhat stronger than that predicting overall obesity, but this does not indicate that sleep disturbances per se would be better associated with abdominal obesity.…”

Section: Discussionmentioning

confidence: 69%

“…12,16,44 Only a couple of studies have shown a relationship between objectively measured indicators of self-reported sleep quality (for example increased sleep latency, lower proportion of Rapid Eye Movement (REM) sleep and frequent awakenings and increased nocturnal motor activity) and daytime tiredness in individuals with obesity and without OSA. 24,26,45 Compared to our study, the above studies used laboratory-based diagnosis of OSA or nocturnal breathing patterns.…”

Section: Discussionmentioning

confidence: 99%

“…Cross-sectional evidence suggests an association between short sleep and obesity in children [8][9][10][11] and in young adults. [12][13][14][15] In addition, two prospective cohort studies have shown that short sleep predicts future weight gain in young adults 16 and in middle-aged women. 7 The mechanisms linking weight and sleep duration are unclear.…”

Section: Introductionmentioning

confidence: 99%

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Sleep-related disturbances and physical inactivity are independently associated with obesity in adults

Kronholm²,

et al. 2007

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Objective: To study relationships between obesity, physical inactivity and sleep-related disturbances (obstructive sleep apnea (OSA), sleep duration, sleep disturbances concomitant with daytime tiredness) in adults (X30 years). Design: Cross-sectional study with a random population sample. Participants: A total of 3377 men (mean age 52.3, s.d. 14.8, years) and 4264 women (56.4, s.d. 17.2, years). Main outcome measures: Dependent variables, measured: Waist circumference (WC) and body mass index (BMI). Independent variables, from a detailed interview/questionnaire: probable OSA, other sleep-related disturbances, sleep duration, type and frequency of leisure physical activity. Age, mental health, smoking and education were included in analyses as potential confounders. Results: In men, OSA and physical inactivity increased likelihood for abdominal obesity (WC X102 cm). Physical inactivity also increased, but long (X9 h/day) sleep decreased likelihood for abdominal overweight (WC: 94-101 cm) in men. In women, abdominal obesity (WC X88 cm) was associated positively with OSA, moderate sleep-related disturbances, and physical inactivity. Education modulated the influence of age on abdominal obesity in both genders. Using BMI as the dependent variable did not change the general information obtained by the model. In addition, abdominal obesity was found to be an independent risk factor also in multivariable models predicting categories of a combined sleep duration and sleep disturbances. Conclusions: Sleep duration and sleep-related disturbances are associated with obesity, even after controlling for OSA and physical inactivity. The results support the hypothesis of vicious circle between sleep and obesity.

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“…Next, we used weight gain (between two adjacent interviews) and obesity as outcomes including preceding asthma as an explanatory variable. Potentially confounding variables were selected on the basis of previous studies on asthma 23 and body weight 26,27 : allergic rhinitis, levels of physical activity (watching television, frequency of sports activity, frequency of walking/ hiking), educational level, socioeconomic status, parental income, household income, family history of weight problems, family history of allergy, parity (in women), use of antidepressants, adult depressive disorders, panic disorder, anxious temperament, aggressive temperament, binge eating, smoking, alcohol consumption and diagnoses of drug abuse/dependence. We did not include childhood variables in the primary analyses as they were based on retrospective data and important childhood health information including body weight was not available.…”

Section: Statistical Analysesmentioning

confidence: 99%

Asthma and body weight change: a 20-year prospective community study of young adults

Hasler

Gergen

Ajdacic³

et al. 2006

Int J Obes

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Objective: There is increasing evidence for an association between asthma and body weight change. The objectives of these analyses were to examine the temporal relationships of this association and to explore the role of childhood depression as an explanatory factor. Methods: Data were derived from six subsequent semistructured interviews on health habits and health conditions from a single-age community study of 591 young adults followed up between ages 20 and 40 years. Results: Cross-sectionally (over the whole study period), asthma was significantly associated with obesity (odds ratio ¼ 3.9 [95% confidence interval 1.2, 12.2]). Multivariate longitudinal analyses revealed that asthma was associated with increased later weight gain and later obesity among women after controlling for potentially confounding variables, whereas weight gain and obesity were not associated with later asthma. A secondary analysis showed that depressive symptoms during childhood were associated with adult obesity and asthma, partially explaining the asthma-obesity comorbidity. Conclusion: This study encourages further research on mechanisms underlying the asthma-obesity comorbidity, particularly on shared psychosocial factors operating during critical periods in childhood and adolescence that may influence the development and persistence of both obesity and asthma during adulthood.

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The Association Between Short Sleep Duration and Obesity in Young Adults: a 13-Year Prospective Study

Abstract: Because sleep duration is a potentially modifiable risk factor, these findings might have important clinical implications for the prevention and treatment of obesity.

Cited by 578 publications

References 0 publications

Is insufficient quantity and quality of sleep a risk factor for neck, shoulder and low back pain? A longitudinal study among adolescents

Is insufficient quantity and quality of sleep a risk factor for neck, shoulder and low back pain? A longitudinal study among adolescents

Sleep-related disturbances and physical inactivity are independently associated with obesity in adults

Asthma and body weight change: a 20-year prospective community study of young adults

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