AbstractLocational data, logged on portable GPS units and matched with accelerometer data, was used to examine associations of the built environment with physical activity and sedentary behaviors of adolescent females. In a sample of 293 adolescent females aged 15 to 18 years old in Minneapolis and San Diego, the built environment around each GPS point and its corresponding sedentary, light, and moderate-to-vigorous intensity physical activity was examined using random intercept multinomial logistic regression models. The odds of higher physical activity intensity (3-level outcome: sedentary, light, MVPA) were higher in places with parks, schools, and high population density, during weekdays, and lower in places with more roads and food out...
Background Increasing emphasis has been placed on improving physical activity levels through multile...
Adolescents in the U.S. do not meet current physical activity guidelines. Ecological models of physi...
Introduction Built-environment interventions have the potential to provide population-wide effects a...
Locational data, logged on portable GPS units and matched with accelerometer data, was used to exami...
Locational data, logged on portable GPS units and matched with accelerometer data, was used to exami...
Locational data, logged on portable GPS units and matched with accelerometer data, was used to exami...
Locational data, logged on portable GPS units and matched with accelerometer data, was used to exami...
AbstractLocational data, logged on portable GPS units and matched with accelerometer data, was used ...
Background: Physical activity is a health-enhancing behavior, but few adolescents achieve the recomm...
Female adolescents are less active than male peers in certain contexts including the neighborhood. A...
Based on the ecological model of active living, the neighborhood environment may relate to individua...
Abstract Background Physical activity is likely to be determined as a complex interplay between pers...
Built environments have been cited as important facilitators of activity and research using geograph...
Abstract Background Physical activity is likely to be...
BACKGROUND: Increasing emphasis has been placed on improving physical activity levels through multil...
Background Increasing emphasis has been placed on improving physical activity levels through multile...
Adolescents in the U.S. do not meet current physical activity guidelines. Ecological models of physi...
Introduction Built-environment interventions have the potential to provide population-wide effects a...
Locational data, logged on portable GPS units and matched with accelerometer data, was used to exami...
Locational data, logged on portable GPS units and matched with accelerometer data, was used to exami...
Locational data, logged on portable GPS units and matched with accelerometer data, was used to exami...
Locational data, logged on portable GPS units and matched with accelerometer data, was used to exami...
AbstractLocational data, logged on portable GPS units and matched with accelerometer data, was used ...
Background: Physical activity is a health-enhancing behavior, but few adolescents achieve the recomm...
Female adolescents are less active than male peers in certain contexts including the neighborhood. A...
Based on the ecological model of active living, the neighborhood environment may relate to individua...
Abstract Background Physical activity is likely to be determined as a complex interplay between pers...
Built environments have been cited as important facilitators of activity and research using geograph...
Abstract Background Physical activity is likely to be...
BACKGROUND: Increasing emphasis has been placed on improving physical activity levels through multil...
Background Increasing emphasis has been placed on improving physical activity levels through multile...
Adolescents in the U.S. do not meet current physical activity guidelines. Ecological models of physi...
Introduction Built-environment interventions have the potential to provide population-wide effects a...