The epidemiology of sleep and obesity

Ogilvie, Rachel P.; Patel, Sanjay R.

doi:10.1016/j.sleh.2017.07.013

Cited by 242 publications

(186 citation statements)

References 151 publications

(142 reference statements)

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“…18,19 Together, these observations are troubling, as restricted sleep duration is associated with obesity and obesogenic changes in hormones and physical activity. 5 Overall, we found few demographic or medical factors that dis- Our findings evidence that young survivors do not appear to improve health behaviors post diagnosis without intervention. Existing interventions for young survivors typically target physical activity, with most findings demonstrating moderate, short-term success.…”

Section: Discussionmentioning

confidence: 61%

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Trajectories of health behaviors across early childhood cancer survivorship

et al. 2018

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Objective: The majority of childhood cancer survivors develop at least one late effect subsequent to treatment (e.g., cardiovascular disease, obesity). Consistent engagement in recommended health behaviors may mitigate some of these conditions. Researchers have identified early survivorship as a teachable moment, yet few studies have examined positive health behaviors during this period. Methods: Families of children with cancer (ages 5–17) were initially recruited following a diagnosis or relapse of cancer. Three years post-diagnosis, survivors (n=82, Mage=13.3, SD=3.7) and their mothers (n=103, Mage=41.1, SD=7.6) completed a questionnaire assessing exercise, dietary, and sleep patterns among survivors. A follow-up assessment was conducted two years later. Mixed models tested change in health behavior over time. Results: At three- and five-years post-diagnosis, mother and self-report indicated that few survivors engaged in appropriate levels of low-intensity exercise, fruit/vegetable intake, and dairy consumption. However, most survivors engaged in recommended levels of high intensity exercise, fast food restriction, and sleep. Health behaviors remained stable over time, except for mother report of sleep duration, which decreased (b=−0.6, p<.001). Brain tumor diagnosis predicted a larger decrease in self-report of sleep duration compared to other diagnoses (p=.04). Income predicted fast food intake such that higher income was associated with decreased intake over time, whereas lower income was associated with increased intake (p=.04). Conclusions: During early survivorship, several health behaviors fell short of expectations for exercise and diet and did not improve upon reaching five years post-diagnosis. Providers should evaluate survivors’ health behaviors, including sleep, early and often, intervening when necessary.

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Section: Discussionmentioning

confidence: 61%

“…This observation may be explained by circadian changes specific to brain malignancies but should be viewed cautiously given our small sample of brain tumor survivors . Together, these observations are troubling, as restricted sleep duration is associated with obesity and obesogenic changes in hormones and physical activity …”

Section: Discussionmentioning

confidence: 97%

Trajectories of health behaviors across early childhood cancer survivorship

et al. 2018

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“…There is also extensive evidence suggesting that short sleep duration may be a risk factor for obesity [53-55]. Short sleep duration is associated with higher risk of subsequent weight gain and obesity [56].…”

Section: Sleep Durationmentioning

confidence: 99%

The Epidemiology of Sleep and Diabetes

2018

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Both poor sleep habits and sleep disorders are highly prevalent among adults with type 2 diabetes. In observational studies, short sleep duration, obstructive sleep apnea, shift work, and insomnia are all associated with higher risk of incident type 2 diabetes and may predict worse outcomes in those with existing diabetes. However, interventional studies addressing sleep abnormalities in populations with or at high risk for type 2 diabetes are scarce. Although common sleep abnormalities are associated with risk of incident type 2 diabetes and worse prognosis in those with established diabetes, there are few randomized trials evaluating the impact of sleep-focused interventions on diabetes, making it difficult to determine whether the relationship is causal.

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“…The literature documents socioeconomic gradients in dietary behaviors [45,46] and sedentary behaviors [47,48], with youths from a low socioeconomic background generally displaying more unfavorable behaviors. Besides this, recent data suggests that poor sleep habits may contribute to the risk of obesity, opening a new avenue for potential intervention [49]. In this paper, we describe the characteristics of sleeping time, BMI, and fat mass in Chinese freshmen and indicate the relationship among them.…”

Section: Discussionmentioning

confidence: 96%

Sleeping Time, BMI, and Body Fat in Chinese Freshmen and Their Interrelation

et al. 2020

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Introduction: In the past two decades, urbanization in many Asian countries has led to sedentary lifestyle and overnutrition, which has set the stage for the epidemic of obesity. Those who have obesity during adolescence usually have obesity into adulthood, which causes many medical and psychological issues that can result in premature death. Recent data suggest that short sleep duration may contribute to the risk of obesity, opening a new avenue for potential intervention. The aim of this study was to describe the prevalence of sleeping time, body mass index (BMI), and fat mass in Chinese freshmen and to indicate the relationship among them. Methods: We conducted a cross-sectional study consisting of 1,938 freshmen aged from 18 to 24 years, including 684 (35.3%) men and 1,254 (64.7%) women. BMI, sleeping time, and other potential related variables were collected by questionnaire. Obesity and overweight were defined as BMI ≥28.0 and ≥24.0, respectively. All students were divided into three groups according to the tertiles of body fat percentage (Fat%), which were measured by bioelectrical impedance analysis. Sleeping time was divided into 3 categories based on the duration, < 6, 6-8, and > 8 h per day. Results: Participants who slept longer had lower BMI and Fat%. Sex, diet control, and maternal obesity were all significantly associated with BMI or Fat% after adjustment. There were significant differences between sleeping time < 6 and > 8 h in both over-weight group and Fat% tertiles independent of adjustment used. The significant difference between sleeping time 6-8 and > 8 h only existed in overweight group, while irrelevant relation was observed in both models of obesity group. Conclusion: Longer sleeping time was associated with a lower BMI in Chinese freshmen, even after adjustment for multiple confounders. The overweight stage is a critical period of weight management intervention by changing sleeping time. If adolescents have entered the obesity stage, the effect size of lifestyle intervention might be significantly limited.

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The epidemiology of sleep and obesity

Cited by 242 publications

References 151 publications

Trajectories of health behaviors across early childhood cancer survivorship

Trajectories of health behaviors across early childhood cancer survivorship

The Epidemiology of Sleep and Diabetes

Sleeping Time, BMI, and Body Fat in Chinese Freshmen and Their Interrelation

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