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Stacy A. Clemes, Beverley M. David, Yi Zhao, Xu Han and Wendy Brown


In light of evidence linking sedentary behaviors to health outcomes, there have been calls for the measurement of sedentary behavior in surveillance studies. This study examined the convergent validity of 2 self-report measures of sitting time and accelerometer-determined sedentary time (minutes/day of <100 counts/minute).


44 adults wore an ActiGraph accelerometer for 7 days, during which they also recorded daily sitting time in a diary, in response to a single-item question. After 7 days, participants completed a new domain-specific questionnaire to assess usual weekday and weekend-day sitting time. Total sitting times recorded from the self-report measures were compared with accelerometer-determined sedentary time.


Total sitting time calculated from the domain-specific questionnaire did not differ significantly from accelerometer-determined sedentary time on weekdays (mean difference [±SE] = –14 ± 28 mins/day) and weekend days (–4 ± 45 mins/day, both P > .05). Sitting time was significantly underestimated using the single-item specific-day question on weekdays (–173 ± 18 mins/day) and weekend days (–219 ± 23 mins/day, both P < .001).


When assessed via self-report, the estimation of total sitting time is improved by summing sitting times reported across different domains. The continued improvement of self-report measures of sitting time will be important if we are to further our understanding of the links between sedentary behavior and health.

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Gerson Luis de Moraes Ferrari, Luis Carlos Oliveira, Timoteo Leandro Araujo, Victor Matsudo, Tiago V. Barreira, Catrine Tudor-Locke and Peter Katzmarzyk

This study aimed to analyze the independent associations of accelerometer-determined sedentary behavior, physical activity, and steps/day with body composition variables in Brazilian children. 485 children wore accelerometers for 7 days. Variables included time in sedentary behavior and different physical activity intensities (light, moderate, vigorous, or moderate-to-vigorous) and steps/day. Body fat percentage was measured using a bioelectrical impedance scale, and BMI was calculated. Children spent 55.7% of the awake portion of the day in sedentary behavior, 37.6% in light physical activity, 4.6% in moderate physical activity, and 1.9% in vigorous physical activity. Moderate-to-vigorous physical activity and steps/day were negatively associated with body composition (BMI and body fat percentage) variables, independent of sex and sedentary behavior. Beta values were higher for vigorous physical activity than moderate physical activity. Vigorous physical activity was negatively associated with BMI (β-.1425) and body fat percentage (β-.3082; p < .0001). In boys, there were significant negative associations between moderate, vigorous, and moderate-to-vigorous physical activity and steps/day with body composition, and in girls, there was only a negative association with vigorous physical activity, independent of sedentary behavior. Moderate-to-vigorous physical activity and steps/day (in boys), but especially vigorous physical activity (in boys and girls), are associated with body composition, independent of sedentary behavior. Sedentary behavior was not related with any of the body composition variables once adjusted for moderate-to-vigorous physical activity.

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Laureen H. Smith, Devin Laurent, Erica Baumker and Rick L. Petosa

; 12 ( 10 ): 781 – 799 . PubMed ID: 21676153 21676153 10.1111/j.1467-789X.2011.00896.x 39. Rich C , Griffiths LJ , Dezateux C . Seasonal variation in accelerometer-determined sedentary behavior and physical activity in children: a review . Int J Behav Nutr Phys Act . 2012 ; 9 ( 9 ): 49

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Nathalie Berninger, Gregory Knell, Kelley Pettee Gabriel, Guy Plasqui, Rik Crutzen and Gill Ten Hoor

.C. , & Viner , R. ( 2007 ). Pubertal transitions in health . The Lancet, 369 ( 9567 ), 1130 – 1139 . doi: 10.1016/S0140-6736(07)60366-3 Pettee Gabriel , K. , Sternfeld , B. , Shiroma , E.J. , Perez , A. , Cheung , J. , & Lee , I.M. ( 2017 ). Bidirectional associations of accelerometer-determined

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Andrea Stewart, Barbara Sternfeld, Brittney S. Lange-Maia, Kelly R. Ylitalo, Alicia Colvin, Carrie A. Karvonen-Gutierrez, Sheila A. Dugan, Robin R. Green and Kelley Pettee Gabriel

reported physical activity and accelerometer-determined sedentary behavior and physical activity by race/ethnic groups, 2) determine the correlation between questionnaire-reported and accelerometer-determined physical activity estimates, and 3) compare these correlation estimates of race/ethnic groups