Research Database

92 results for "Activity and Technology"

Associations of Parental Rules and Socioeconomic Position With Preschool Children’s Sedentary Behaviour and Screen Time

  • Published on April 2015

Background: There is little current understanding of the influences on sedentary behavior and screen time in preschool children. This study investigated socioeconomic position (SEP) and parental rules as potential correlates of preschool children’s sedentary behavior and screen time. Methods: Data from the Healthy Active Preschool Years (HAPPY) Study were ...


Association Between Television Viewing and Physical Activity in 10-year Old Brazilian Children

  • Published on March 31, 2015

Background: Studies have found an association between television (TV) viewing and physical activity levels. The purpose of this study was to examine the association between TV viewing and physical activity in 10-year old Brazilian children. Methods: The sample consisted of 485 children. Self-reported TV viewing on weekdays and weekends was assessed ...


A web- and mobile phone-based intervention to prevent obesity in 4-year-olds (MINISTOP): a population-based randomized controlled trial

  • Published on Feb. 7, 2015

Background: Childhood obesity is an increasing health problem globally. Overweight and obesity may be established as early as 2–5 years of age, highlighting the need for evidence-based effective prevention and treatment programs early in life. In adults, mobile phone based interventions for weight management (mHealth) have demonstrated positive effects on body ...


Evaluation Design of New York City’s Regulations on Nutrition, Physical Activity, and Screen Time in Early Child Care Centers

  • Published on Oct. 16, 2014

Abstract: This article describes the multi-method cross-sectional design used to evaluate New York City Department of Health and Mental Hygiene’s regulations of nutrition, physical activity, and screen time for children aged 3 years or older in licensed group child care centers. The Center Evaluation Component collected data from a stratified ...


Prevalence and Correlates of Screen time in Youth

  • Published on Sept. 15, 2014

Background: Screen time (including TV viewing/computer use) may be adversely associated with metabolic and mental health in children. Purpose: To describe the prevalence and sociodemographic correlates of screen time in an international sample of children aged 4–17 years. Methods: Data from the International Children’s Accelerometry Database were collected between 1997–2009 ...



Demonstrating the utility of a person-worn camera to assess multiple behaviors in different populations: Beyond accelerometers and food recalls

  • Presented on May 21, 2014

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 (...


Effect of ACIVITAL 2-yr-intervention program on screen time, PA and fitness according to weight status and fitness levels in adolescents

  • Presented on May 21, 2014

Purpose: Compared to normal weigh and fit adolescents, overweight and unfit adolescents are more likely to develop cardiovascular disease in adulthood. Despite this, there is insufficient evidence regarding the effectiveness of general schoolbased interventions in these high-risk groups. We assessed if overweight/obese and unfit adolescents responded differently to a ...



SenseCam-coded body positions associated with accelerometer-determined cadence

  • Presented on May 21, 2014

Purpose: To quantify the proportion (%) of time spent in different body positions within incremental bands of accelerometer determined cadence (steps/min). Methods: This was a secondary analysis of SenseCam camera images and ActiGraph GT3X+ accelerometer data concurrently worn during waking hours by 40 adults (70% male; 36±12 years-old; BMI=23±3 kg/m2) for 3...