| scholarly article | Q13442814 |
| P50 | author | Mark S Tremblay | Q94703603 |
| P2093 | author name string | Sarah Connor Gorber | |
| Rachel Colley | |||
| P433 | issue | 1 | |
| P921 | main subject | accelerometry | Q338709 |
| quality control | Q827792 | ||
| P304 | page(s) | 63-69 | |
| P577 | publication date | 2010-03-01 | |
| P1433 | published in | Health Reports | Q15754196 |
| P1476 | title | Quality control and data reduction procedures for accelerometry-derived measures of physical activity | |
| P478 | volume | 21 |
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| Q40025241 | Agreement of objectively measured physical activity and sedentary time in preschool children |
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| Q35053140 | Associations of sedentary behavior, sedentary bouts and breaks in sedentary time with cardiometabolic risk in children with a family history of obesity |
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| Q47974704 | Healthy Start - Départ Santé: A pilot study of a multilevel intervention to increase physical activity, fundamental movement skills and healthy eating in rural childcare centres |
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| Q61446919 | Imputing accelerometer nonwear time in children influences estimates of sedentary time and its associations with cardiometabolic risk |
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| Q36101301 | Joint physical activity and sedentary behavior in parent-child pairs |
| Q58702458 | Laboratory-Assessed Markers of Cardiometabolic Health and Associations with GIS-Based Measures of Active-Living Environments |
| Q36581893 | Locations of joint physical activity in parent-child pairs based on accelerometer and GPS monitoring |
| Q84827006 | Major initiatives related to childhood obesity and physical inactivity in Canada: the year in review |
| Q35616831 | Mediating role of television time, diet patterns, physical activity and sleep duration in the association between television in the bedroom and adiposity in 10 year-old children. |
| Q90642435 | Methodological design for the assessment of physical activity and sedentary time in eight Latin American countries - The ELANS study |
| Q36126868 | Momentary assessment of adults' physical activity and sedentary behavior: feasibility and validity. |
| Q61802426 | Muscular fitness and cardiorespiratory fitness are associated with health-related quality of life: Results from labmed physical activity study |
| Q49190067 | Objectively measured active transportation to school and other destinations among 10-13 year olds. |
| Q36486357 | Objectively measured and self-reported sedentary time in older Canadians |
| Q59793876 | Objectively measured crime and active transportation among 10-13 year olds |
| Q33839219 | Objectively measured physical activity, sedentary time and sleep duration: independent and combined associations with adiposity in canadian children |
| Q38751582 | Outdoor time, physical activity and sedentary time among young children: The 2012-2013 Canadian Health Measures Survey. |
| Q33578898 | Overweight, obesity, steps, and moderate to vigorous physical activity in children |
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| Q35780355 | Prevalence and influences of preschoolers' sedentary behaviors in early learning centers: a cross-sectional study |
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| Q35698372 | Reliability of Objectively Measured Sedentary Time and Physical Activity in Adults |
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| Q64107702 | Sedentary behaviour, physical activity, and sarcopenia among older adults in the TSHA: isotemporal substitution model |
| Q40448616 | Self-report Pregnancy Physical Activity Questionnaire overestimates physical activity. |
| Q43977711 | Short sleep duration is independently associated with overweight and obesity in Quebec children. |
| Q35793192 | Snacking behaviors, diet quality, and body mass index in a community sample of working adults. |
| Q37029268 | Socioeconomic status indicators, physical activity, and overweight/obesity in Brazilian children |
| Q33856383 | Study protocol of physical activity and sedentary behaviour measurement among schoolchildren by accelerometry--cross-sectional survey as part of the ENERGY-project |
| Q34802857 | Study protocol: the relation of birth weight and infant growth trajectories with physical fitness, physical activity and sedentary behavior at 8-9 years of age - the ABCD study |
| Q35741980 | The Canadian Assessment of Physical Literacy: methods for children in grades 4 to 6 (8 to 12 years) |
| Q61807674 | The Cardiometabolic Risk Profile of Underreporters of Energy Intake Differs from That of Adequate Reporters among Children at Risk of Obesity |
| Q64112220 | The Impact of Movement Behaviors on Bone Health in Elderly with Adequate Nutritional Status: Compositional Data Analysis Depending on the Frailty Status |
| Q55360052 | The Influence of Weather Variation, Urban Design and Built Environment on Objectively Measured Sedentary Behaviour in Children. |
| Q30537729 | The association between accelerometer-measured patterns of sedentary time and health risk in children and youth: results from the Canadian Health Measures Survey |
| Q34655570 | The contribution of office work to sedentary behaviour associated risk |
| Q34761708 | The fractionalization of physical activity throughout the week is associated with the cardiometabolic health of children and youth |
| Q34189471 | The impact of exercise consultation on activity levels and metabolic markers in obese adolescents: a pilot study |
| Q57044075 | The relationship between physical literacy scores and adherence to Canadian physical activity and sedentary behaviour guidelines |
| Q36124456 | Toddler physical activity study: laboratory and community studies to evaluate accelerometer validity and correlates |
| Q37709302 | Towards uniform accelerometry analysis: a standardization methodology to minimize measurement bias due to systematic accelerometer wear-time variation |
| Q64063389 | Tracking of objective physical activity and physical fitness in Japanese children |
| Q41228044 | Use of a mobile social networking intervention for weight management: a mixed-methods study protocol |
| Q38101909 | Using accelerometers in youth physical activity studies: a review of methods |
| Q35249100 | Validation of accelerometer wear and nonwear time classification algorithm |
| Q36195873 | Vigorous intensity physical activity is related to the metabolic syndrome independent of the physical activity dose. |
| Q92665426 | Which cancer survivors are at risk for a physically inactive and sedentary lifestyle? Results from pooled accelerometer data of 1447 cancer survivors |
| Q92489567 | Which one came first: movement behavior or frailty? A cross-lagged panel model in the Toledo Study for Healthy Aging |
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