Nocturnal sleep-related variables from 24-h free-living waist-worn accelerometry: International Study of Childhood Obesity, Lifestyle and the Environment

Tudor–Locke, Catrine; Mire, EF; Barreira, Tiago V.; Schuna, JM; Chaput, J-P; Fogelholm, Mikael; Hu, Gang; Kurpad, Anura; Kuriyan, Rebecca; Lambert, E. V.; Maher, Carol; Maia, José; Matsudo, Victor Keihan Rodrigues; Olds, Tim; Onywera, V.O.; Sarmiento, OL; Standage, Martyn; Tremblay,; Zhao, Pei; Church, T.S.; Katzmarzyk, Peter

doi:10.1038/ijosup.2015.19

Cited by 17 publications

(15 citation statements)

References 26 publications

(42 reference statements)

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“…The Pennington Biomedical Research Center (PBRC) hosts public web-based access to both the original [20] and refined [21] algorithms. As a companion to the sleep algorithms, we have published a full catalog of nocturnal sleep-related variables in ISCOLE [22].…”

Section: Advances In Scientific Methodology Related To the Assessmmentioning

confidence: 99%

International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE): Contributions to Understanding the Global Obesity Epidemic

et al. 2019

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The purpose of this review is to summarize the scientific contributions of the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE) in extending our understanding about obesity in children from around the world. ISCOLE was a multi-national study of 9 to 11 year-old children from sites in 12 countries from all inhabited continents. The primary purpose was to investigate relationships between lifestyle behaviors and obesity, and the influence of higher-order characteristics such as behavioral settings, and physical, social and policy environments. ISCOLE has made several advances in scientific methodology related to the assessment of physical activity, dietary behavior, sleep and the neighborhood and school environments. Furthermore, ISCOLE has provided important evidence on (1) epidemiological transitions in obesity and related behaviors, (2) correlates of obesity and lifestyle behaviors at the individual, neighborhood and school levels, and (3) 24-h movement behaviors in relation to novel analytical techniques. A key feature of ISCOLE was the development of a platform for international training, data entry, and data quality for multi-country studies. Finally, ISCOLE represents a transparent model for future public-private research partnerships across low, middle and high-income countries.

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Section: Advances In Scientific Methodology Related To the Assessmmentioning

confidence: 99%

International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE): Contributions to Understanding the Global Obesity Epidemic

et al. 2019

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“…Data were collected from 7,000 10‐year‐old children across the globe; however, here we focus on the Australian arm, involving 546 children recruited in Adelaide, South Australia. Compliance with sleep guidelines was assessed using Actigraph GT3X+ hip‐worn accelerometers (Tudor‐Locke et al, ). Children were considered to be compliant with sleep guidelines if their weighted sleep duration averaged 9–11 hr per night across all measured days.…”

Section: Methodsmentioning

confidence: 99%

Does compliance with healthy lifestyle behaviours cluster within individuals in Australian primary school‐aged children?

Olds

Sanders

Maher

et al. 2017

Child

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“…Sleep efficiency was calculated as the proportion of total sleep episodes (continuous intervals of sleep) divided by sleep period time (expressed in %) and was determined via the validated algorithm [22,26]. A higher sleep efficiency indicates that more of the sleep period was spent in a sleep episode.…”

Section: Sleep Efficiency and Late Bedtimementioning

confidence: 99%

Associations of Sleep with Food Cravings, Diet, and Obesity in Adolescence

et al. 2019

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Background: Sleep and dietary intake/quality can contribute to excess weight gain, but food cravings may influence these relationships. This cross-sectional study examined the relationship of adolescents' sleep characteristics with dietary intake/quality and obesity and whether food cravings mediated these relationships. Methods: Sleep measures were calculated based on 24-h accelerometry, and height and weight were directly measured to calculate body mass index (BMI) z-scores. Food cravings were assessed by the Food Craving Inventory (FCI). Dietary intake and quality were calculated based on dietary recalls. Multivariable linear regression was used to examine the associations among sleep, food cravings, dietary intake/quality, and obesity, adjusting for confounders. Results: In total, 256 adolescents (ages 10-16 years) had complete data; 42% were non-White and 45% were boys. Sleep efficiency was inversely associated with sweet cravings and FCI-28. Sleep duration, meeting the sleep duration guidelines, and fruit/vegetable cravings were each positively associated with dietary quality. Sleep duration was negatively associated with BMI z-score. Mediation models were not performed as no sleep parameter was associated with both cravings and dietary intake/quality or BMI z-score. Conclusions: Associations existed among poor sleep, quantity and quality, with more frequent food cravings and worse dietary quality. Sleep may underlie adolescent obesogenic behaviors.

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Nocturnal sleep-related variables from 24-h free-living waist-worn accelerometry: International Study of Childhood Obesity, Lifestyle and the Environment

Abstract: These variables extend the potential of field-based 24-h waist-worn accelerometry to distinguish and categorize the underlying robust patterns of movement/non-movement signals conveying magnitude, duration, frequency and periodicity during the nocturnal sleep period.

Cited by 17 publications

References 26 publications

International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE): Contributions to Understanding the Global Obesity Epidemic

International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE): Contributions to Understanding the Global Obesity Epidemic

Does compliance with healthy lifestyle behaviours cluster within individuals in Australian primary school‐aged children?

Associations of Sleep with Food Cravings, Diet, and Obesity in Adolescence

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