Habitual sleep duration and sleep duration variation are independently associated with body mass index

Xu, Xingyan; Conomos, Matthew P.; Manor, Ohad; Rohwer, J E; Magis, Andrew T.; Lovejoy, J C

doi:10.1038/ijo.2017.223

Cited by 27 publications

(29 citation statements)

References 41 publications

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“…More generally, previous work 2, 3 and that described here demonstrates the significant potential for wearables in global biomedical research and further, as we used openly available data, this analysis shows the benefits of sharing observational data 4 .…”

Section: Discussionsupporting

confidence: 68%

“…These results importantly show the potential value of mainstream consumer devices for scientific research by providing objective sleep and physical activity data. A limitation of the Xu et al study however, as noted by the authors 2 , is the lack of diversity of ethnicity in their study population, with the majority of participants being of European descent. In order to assess the utility of wearables for global research we used data from a recently published study 3 to investigate the relationship between sleep and BMI in a largely Chinese population.…”

Section: Introductionmentioning

confidence: 86%

“…Recently Xu and colleagues 2 showed that shorter sleep duration, as measured by a Fitbit wristband, was associated with a higher average BMI 2 . These results importantly show the potential value of mainstream consumer devices for scientific research by providing objective sleep and physical activity data.…”

Section: Introductionmentioning

confidence: 99%

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Sleep and BMI: Do (Fitbit) bands aid?

2018

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Recent studies have used mainstream consumer devices (Fitbit) to assess sleep objectively and test the well documented association between sleep and body mass index (BMI). In order to further investigate the applicability of Fitbit data for biomedical research across the globe, we analysed openly available Fitbit data from a largely Chinese population. We found that after adjusting for age, gender, race, and average number of steps taken per day, average hours of sleep per day was negatively associated with BMI (p=0.02), further demonstrating the significant potential for wearables in international scientific research.

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Section: Discussionsupporting

confidence: 68%

Section: Introductionmentioning

confidence: 86%

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Sleep and BMI: Do (Fitbit) bands aid?

2018

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“…Similar to Xu et al, we required that a minimum value to count a record as having sufficient sleep data was more than 2 hours, but there was no upper limit on the maximum amount of hours of sleep per day. 7 For primary analyses, we averaged all sleep times meeting these criteria by gestational week for each participant.…”

Section: Methodsmentioning

confidence: 99%

Sleep Duration during Pregnancy using an Activity Tracking Device

Kominiarek

Chen

Balmert

et al. 2020

AJP Rep

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Objective The aim of this study was to describe sleep duration across gestation in women who wore an activity-tracking device (ATD) during pregnancy, and to study the association between sleep duration and adverse maternal and neonatal outcomes Study Design Women ≥ 18 years old who owned a smartphone were approached to participate in 2016 to 2017. Participants received instructions to wear and sync an ATD daily. Steps, sedentary hours, and sleep duration were wirelessly transmitted via cellular technology. We measured sleep duration for the main episode of sleep and excluded sleep times < 120 minutes. Mixed models were used to assess the trajectory of mean weekly hours of sleep by gestational age. Secondary analyses evaluated differences in pregnancy outcomes between insufficient (< 7/24 hours) and sufficient sleep (≥ 7/24 hours) groups, based on mean hours of sleep within the first 7 days of ATD use. Results The majority of 94 participants self-reported minority racial–ethnic status (33% non-Hispanic black and 51% Hispanic), had government insurance (83%), were nulliparous (61%), and had pre-pregnancy overweight or obesity (56%). The mean (standard deviation) duration of sleep was 7.2 ± 2.4 hours per 24 hours. In mixed models analyses, gestational age was statistically significantly associated with mean hours of sleep (β = −0.02; 95% confidence interval: −0.04 to −0.01; p < 0.001). Women who had < 7 hours of sleep had greater median daily steps compared with those who had ≥ 7 hours of sleep (median: 7,122; interquartile range [IQR]: 5,167–8,338 vs. median: 5,005; IQR: 4,115–7,059; p < 0.01), but there were no significant differences in other outcomes (sedentary time, gestational weight gain, pregnancy associated hypertension, gestational diabetes, gestational age at delivery, cesarean delivery, or mean birthweight), p > 0.05 for all comparisons. Conclusion The mean sleep duration was 7.2 ± 2.4 hours among the 94 women in this cohort and decreased with advancing gestational age. Further research is required to evaluate sleep measurements with ATD in pregnant women and how sleep duration and quality is related to maternal and neonatal outcomes.

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“…The association between sleep and body mass index (BMI) is well known 1 . Recently Xu and colleagues 2 showed that shorter sleep duration, as measured by a Fitbit wristband, was associated with a higher average BMI 2 . These results importantly show the potential value of mainstream consumer devices for scientific research by providing objective sleep and physical activity data.…”

Section: Introductionmentioning

confidence: 99%