Classification of accelerometer wear and non-wear events in seconds for monitoring free-living physical activity.

Diet, lifestyle, and the risk of type 2 diabetes mellitus in women. N Engl J Med (2001) 14.48

Physical activity and inactivity in an adult population assessed by accelerometry. Med Sci Sports Exerc (2007) 5.15

Validation of accelerometer wear and nonwear time classification algorithm. Med Sci Sports Exerc (2011) 4.62

A novel method for using accelerometer data to predict energy expenditure. J Appl Physiol (1985) (2005) 4.47

Physical activity assessment with accelerometers: an evaluation against doubly labeled water. Obesity (Silver Spring) (2007) 3.73

Best practices for using physical activity monitors in population-based research. Med Sci Sports Exerc (2012) 2.79

An online community improves adherence in an internet-mediated walking program. Part 1: results of a randomized controlled trial. J Med Internet Res (2010) 2.43

A review and meta-analysis of the effect of weight loss on all-cause mortality risk. Nutr Res Rev (2009) 2.40

Validity and reliability of activity measures in African-American girls for GEMS. Med Sci Sports Exerc (2003) 1.86

Physical activity and mortality: a prospective study among women. Am J Public Health (2001) 1.78

Large-scale applications of accelerometers: new frontiers and new questions. Med Sci Sports Exerc (2007) 1.76

Measuring free-living energy expenditure and physical activity with triaxial accelerometry. Obes Res (2005) 1.74

Estimation of daily energy expenditure in pregnant and non-pregnant women using a wrist-worn tri-axial accelerometer. PLoS One (2011) 1.63

A timely meeting: objective measurement of physical activity. Med Sci Sports Exerc (2005) 1.58

Assessment of wear/nonwear time classification algorithms for triaxial accelerometer. Med Sci Sports Exerc (2012) 1.54

Physical activity, obesity, and the incidence of type 2 diabetes in a high-risk population. Am J Epidemiol (2003) 1.52

Intraindividual variation of objectively measured physical activity in children. Med Sci Sports Exerc (2007) 1.51

Identifying sedentary time using automated estimates of accelerometer wear time. Br J Sports Med (2011) 1.47

Separating movement and gravity components in an acceleration signal and implications for the assessment of human daily physical activity. PLoS One (2013) 1.35

Physical activity and risk of breast cancer in premenopausal women. Br J Cancer (2003) 1.28

Habitual physical activity and physical activity intensity: their relation to body composition in 5.0-10.5-y-old children. Eur J Clin Nutr (2004) 1.20

Impact of accelerometer wear time on physical activity data: a NHANES semisimulation data approach. Br J Sports Med (2012) 1.20

Sleep, physical activity and BMI in six to ten-year-old children measured by accelerometry: a cross-sectional study. Int J Behav Nutr Phys Act (2013) 1.16

Exercise, body mass index, caloric intake, and cardiovascular mortality. Am J Prev Med (2003) 1.10

Identification of accelerometer nonwear time and sedentary behavior. Res Q Exerc Sport (2011) 1.07

Translating accelerometer counts into energy expenditure: advancing the quest. J Appl Physiol (1985) (2006) 1.05

Identification of children's activity type with accelerometer-based neural networks. Med Sci Sports Exerc (2011) 1.05

Physical activity levels in three Brazilian birth cohorts as assessed with raw triaxial wrist accelerometry. Int J Epidemiol (2014) 1.03

Identifying accelerometer nonwear and wear time in older adults. Int J Behav Nutr Phys Act (2013) 1.00

Physical activity pattern in men and women at the ages of 16 and 34 and development of physical activity from adolescence to adulthood. Scand J Med Sci Sports (1996) 0.99

Behavior and cancer prevention. J Clin Oncol (2005) 0.95

Predictors of physical activity patterns across adulthood: a growth curve analysis. Pers Soc Psychol Bull (2010) 0.86

Accelerometer nonwear algorithms: optimizing parameters for both wear states. Med Sci Sports Exerc (2011) 0.84

Physical activity and excess weight in pregnancy have independent and unique effects on delivery and perinatal outcomes. PLoS One (2014) 0.82

Local modelling techniques for assessing micro-level impacts of risk factors in complex data: understanding health and socioeconomic inequalities in childhood educational attainments. PLoS One (2014) 0.79