Purpose: To examine the validity of a wrist-worn accelerometer for predicting energy expenditure in adults. Methods: Thirty-eight adults (Mage: 35.7 ± 12.2; 54% male) participated in up to 6 prescribed activities of daily living (e.g. washing dishes, sweeping), and walking (slow and brisk), while wearing an ActiGraph GT3X+ accelerometer on the non-dominant wrist. ...
Purpose: To provide objective measures of physical activity (PA) and eating behaviors (EB) using a single device. Person-worn cameras (PWC) offer the opportunity to classify and characterize multiple concurrent activities and their contexts, simultaneously; allowing for the objective classification of contextual and time-specific activities. Methods: Two distinct populations, overweight females (...
Purpose: Data comparability is an important question in longitudinal studies using different models of accelerometers to measure physical activity. Although studies have been done with adults to compare 7164 and GT3X+ Actigraph accelerometers, comparability in youth has not been demonstrated. The purpose of this study was to determine whether the 7164 ...
Purpose: The dominant methodology for assessing the effects of environment on physical activity focuses on the home environment. However physical activity may occur throughout the day in other locations. These environments may play a role in influencing amount of physical activity conducted, and should be considered. Methods: Eight studies using ...
Purpose: To examine relationships between parent perceived neighborhood recreational environment and physical activity (PA) in adolescents. Perceived diversity and proximity of recreation facilities is a core component of activity friendly neighborhood environments which may contribute to youth PA. Methods: Participants (N=928, mean age 14.1± 1.4 years old, with 50.4% girls, 33.4 non-white/Hispanic) were ...
Purpose: Accelerometers are commonly used as an objective measure of sedentary behavior, but the method of defining nonwear time directly affects sedentary estimates. The present study examined nonwear definitions and their impact on detection of sedentary time in youth using different ActiGraph models and filters. Methods: 60 youth (34 children and 26 adolescents; ...
Purpose: Seasonal variations in weight gain among children are well documented. Urban minority and overweight youth are at higher risk for weight gain during the summer months, which may result from decreases in physical activity (PA) and sleep. While research has established links between PA, sleep, and BMI, the current ...
Purpose: To analyze the association of the length of sedentary behavior breaks on metabolic risk score (MRS) in Portuguese adolescents (12-18 years). Methods: In 2012 we evaluated 400 adolescents (46% males) in a school-based study. We measured cardiorespiratory fitness (20m_shuttle-run test), blood pressure, height, waist circumference, fasting glucose and insulin, total cholesterol, ...
Purpose: There is emerging evidence that sedentary behaviors are related to indices of psychosocial well-being. This study examined associations of multiple self-reported and objectively-assessed measures of time spent sedentary with adults’ life satisfaction and physical quality of life (PQOL). Methods: Participants (N=2119; mean age=45.2yrs, SD=10.9) were recruited from neighborhoods ...
Purpose: Research has identified psychosocial factors that are consistent correlates of physical activity (PA). It is unknown whether these factors might also be related to less sedentary behavior (SB). Well-established psychosocial correlates of PA were examined to see if they related to sedentary behavior independent of PA. Methods: Adults (n=2199) ...