24 h Accelerometry: impact of sleep-screening methods on estimates of sedentary behaviour and physical activity while awake. - Wikidata - awgldk - TriplyDB

24 h Accelerometry: impact of sleep-screening methods on estimates of sedentary behaviour and physical activity while awake.

24 h Accelerometry: impact of sleep-screening methods on estimates of sedentary behaviour and physical activity while awake.

http://www.wikidata.org/entity/Q40715666

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Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations.Identifying waking time in 24-h accelerometry data in adults using an automated algorithm.How consumer physical activity monitors could transform human physiology research.24 h-accelerometry in epidemiological studies: automated detection of non-wear time in comparison to diary information Gut microbiota manipulation with prebiotics in patients with non-alcoholic fatty liver disease: a randomized controlled trial protocol Three-year follow-up of a randomised controlled trial to reduce excessive weight gain in the first two years of life: protocol for the POI follow-up study.The effect of increasing risk and challenge in the school playground on physical activity and weight in children: a cluster randomised controlled trial (PLAY).Wear-Time Compliance with a Dual-Accelerometer System for Capturing 24-h Behavioural Profiles in Children and Adults

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24 h Accelerometry: impact of sleep-screening methods on estimates of sedentary behaviour and physical activity while awake.

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description

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02640414.2015.1068438

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Journal of Sports Sciences

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24 h Accelerometry: impact of ...... physical activity while awake

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Gavin Kennedy

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Kim Meredith-Jones

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Rachael Taylor

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Sheila Williams

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P2860

Physical activity in the United States measured by accelerometer

Impact of accelerometer wear time on physical activity data: a NHANES semisimulation data approach.

Quality control methods in accelerometer data processing: defining minimum wear time

Accelerometer data reduction in adolescents: effects on sample retention and bias

From sedentary time to sedentary patterns: accelerometer data reduction decisions in youth.

Motivational interviewing for screening and feedback and encouraging lifestyle changes to reduce relative weight in 4-8 year old children: design of the MInT study

Sleep duration from infancy to adolescence: reference values and generational trends.

Validation of a hip-worn accelerometer in measuring sleep time in children.

Tracking of accelerometry-measured physical activity during childhood: ICAD pooled analysis.

Conducting accelerometer-based activity assessments in field-based research.

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679-685

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10.1080/02640414.2015.1068438

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Barbara Galland

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280241995

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