Objectively Measured Sleep Patterns in Young Adult Women and the Relationship to Adiposity

Bailey, Bruce W.; Allen, M. D.; LeCheminant, James D.; Tucker, Larry A.; Errico, William K.; Christensen, William F.; Hill, Marshall D.

doi:10.4278/ajhp.121012-quan-500

Cited by 42 publications

(50 citation statements)

References 70 publications

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“…To evaluate potential body composition changes during the off-season and in-season, composition assessments took place at 3 . The off-season occurred between the ES and PS, and players partook in unmonitored training to help elicit the natural off-season training regimens and lifestyles of collegiate hockey players in Canada.…”

Section: Experimental Approach To the Problemmentioning

confidence: 99%

“…Long practice days, substantial travel, demanding schedules, and game preparations all influence a collegiate-athlete's sleep, nutrition, training, and activity levels outside of their sport of choice, and can have an impact on their overall body composition (3,17,28,32). Although body composition can be reflective of many factors unrelated to elite sport, many recognize that this trait alone can be influential on the performance of elite athletes in competition (1).…”

Section: Introductionmentioning

confidence: 99%

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Seasonal Changes in Whole Body and Regional Body Composition Profiles of Elite Collegiate Ice-Hockey Players

Prokop¹,

Reid²,

Andersen³

2016

Journal of Strength and Conditioning Research

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The monitoring of a collegiate hockey player's body composition can reflect fitness characteristics and may help players, coaches, or strength and conditioning specialists optimize physiologic gains during an off-season, whereas simultaneously preventing performance decrements in-season. The purpose of the study was to investigate changes in whole-body and regional-body composition of fat and lean tissue. The body composition profiles of 19 elite Canadian collegiate hockey players were assessed using dual energy X-ray absorptiometry. Players completed end-of-season, preseason, and midseason assessments with questionnaires relating to their off-season and in-season training. Statistically significant changes in body composition profiles were observed between the different time points because players showed various tissue gains and losses depending on the region assessed. Overall, players gained (1.38 kg, p ≤ 0.01) and lost (0.79 kg, p ≤ 0.01) fat tissue during the off-season and in-season, respectively. Players also showed a significant gain of leg lean tissue (0.29 kg, p = 0.02) and loss of arm tissue mass (-0.25 kg, p = 0.02) during the first-half of the competitive season. Several correlations emerged that may provide insight into potential trends that could be more pronounced during longer and more demanding schedules. Collegiate hockey players show changes in body composition during the off-season and in-season. The understanding of body composition profiles, body composition fluctuations, and potential variables that may influence the composition of collegiate hockey players can help coaches and athletic programs tailor their team's training, nutrition, lifestyle, and informative resources to further support their athletes.

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Section: Experimental Approach To the Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Seasonal Changes in Whole Body and Regional Body Composition Profiles of Elite Collegiate Ice-Hockey Players

Prokop¹,

Reid²,

Andersen³

2016

Journal of Strength and Conditioning Research

View full text Add to dashboard Cite

show abstract

“…Sleep is a physiological necessity and its restorative properties are important for mental, emotional and physical health [1]. Disrupted sleep has been associated with respiratory illnesses, gastrointestinal disorders, diabetes, cardiovascular disease, depression, abnormal hormone and immune functioning, and cancer [2, 3].…”

Section: Introductionmentioning

confidence: 99%

“…However, some studies found no association [13, 14]. A majority of studies examining these relationships utilized self-reported sleep duration, though several found associations of BMI with actigraphic-measured sleep [1, 9, 15, 16] or self-reported sleep quality [17]. However, more research is needed to fully understand how other actigraphic-based sleep measures are associated with body composition (e.g., sleep onset, wake time, wake-after-sleep-onset [WASO]), as these may represent different aspects of sleep compared to sleep duration.…”

Section: Introductionmentioning

confidence: 99%

Association between actigraphic sleep metrics and body composition

Wirth

Hébert

Hand

et al. 2015

Annals of Epidemiology

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Purpose Determine if individuals with poor sleep characteristics (i.e., late sleep onset or wake times, short sleep duration, long sleep latency, low sleep efficiency, high wake-after-sleep-onset [WASO]) have greater body mass index (BMI=kg/m2) or body fat. Methods Data for these cross-sectional analyses were from the Energy Balance Study (University of South Carolina). Participants were between 21 and 35 years of age and had a BMI of 20–35 kg/m2. Body fat percent was measured by dual X-ray absorptiometry. Sleep and physical activity were measured by actigraphy (BodyMedia’s SenseWear® physical activity armband). General linear models were used to estimate mean BMI and body fat percent by sleep metric categories. Results Greater BMI and body fat percent were associated with low sleep efficiency (BMI=25.5 vs. 24.8kg/m2, p<0.01; body fat=27.7 vs. 26.5%, p=0.04) and high WASO (BMI=25.6 vs. 25.0 kg/m2, p=0.02; body fat=28.0 vs. 26.7%, p=0.03). Elevated BMI or body fat percent also were observed for later wake times, shorter sleep duration, and longer sleep latency. Sex modified the association between wake times and body composition. Conclusions Understanding the complex relationships between sleep and health outcomes could help reduce chronic disease burden by incorporating sleep components, measured through novel non-invasive techniques (SenseWear® armband), into weight loss interventions.

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“…Interestingly one recent survey evaluated the association between sleep duration, body weight and adiposity (Bailey et al, 2014). Among 330 young women (aged around 20), inconsistent sleep patterns and poor sleep efficiency were related to adiposity.…”

Section: Overweight Acts Mechanically By Mass Loading On the Upper Aimentioning

confidence: 99%

The role of sleep in the regulation of body weight

Léger

Bayon

Sanctis

2015

Molecular and Cellular Endocrinology

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Objectively Measured Sleep Patterns in Young Adult Women and the Relationship to Adiposity

Abstract: Inconsistent sleep patterns and poor sleep efficiency are related to adiposity. Consistent sleep patterns that include sufficient sleep may be important in modifying risk of excess body fat in young adult women.

Cited by 42 publications

References 70 publications

Seasonal Changes in Whole Body and Regional Body Composition Profiles of Elite Collegiate Ice-Hockey Players

Seasonal Changes in Whole Body and Regional Body Composition Profiles of Elite Collegiate Ice-Hockey Players

Association between actigraphic sleep metrics and body composition

The role of sleep in the regulation of body weight

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