24 h Accelerometry: impact of sleep-screening methods on estimates of sedentary behaviour and physical activity while awake. Issue 7 (2nd April 2016)

• Record Type: Journal Article
• Authors: Meredith-Jones, Kim; Williams, Sheila; Galland, Barbara; Kennedy, Gavin; Taylor, Rachael
• Is Part Of: Journal of sports sciences. Volume 34:Issue 7(2016)
• Page Start: 679
• Page End: 685
• Publication Date: 2016-04-02
• Subjects: Physical activity -- sedentary sleep -- 24-h accelerometry; Sports -- Periodicals; Sports -- Physiological aspects -- Periodicals; Sports -- Psychological aspects -- Periodicals; 612.044
• DOI: 10.1080/02640414.2015.1068438
• Languages: English
• ISSNs: 0264-0414

Abstract

Abstract: Although accelerometers can assess sleep and activity over 24 h, sleep data must be removed before physical activity and sedentary time can be examined appropriately. We compared the effect of 6 different sleep-scoring rules on physical activity and sedentary time. Activity and sleep were obtained by accelerometry (ActiGraph GT3X) over 7 days in 291 children (51.3% overweight or obese) aged 4–8.9 years. Three methods removed sleep using individualised time filters and two methods applied standard time filters to remove sleep each day (9 pm–6 am, 12 am–6 am). The final method did not remove sleep but simply defined non-wear as at least 60 min of consecutive zeros over the 24-h period. Different methods of removing sleep from 24-h data markedly affect estimates of sedentary time, yielding values ranging from 556 to 1145 min/day. Estimates of non-wear time (33–193 min), wear time (736–1337 min) and counts per minute (384–658) also showed considerable variation. By contrast, estimates of moderate-to-vigorous activity (MVPA) were similar, varying by less than 1 min/day. Different scoring methods to remove sleep from 24-h accelerometry data do not affect measures of MVPA, whereas estimates of counts per minute and sedentary time depend considerably on which technique is used.