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Environment International|June 6, 2022
GPS-based activity space exposure to greenness and walkability is associated with increased accelerometer-based physical activityOriol Marquet, Jana A Hirsch, Jacqueline Kerr, et al.
Plos One|April 16, 2024
Identifying multilevel predictors of behavioral outcomes like park use: A comparison of conditional and marginal modeling approachesMarilyn E Wende, S Morgan Hughey, Alexander C McLain, et al.
Preventing Chronic Disease|May 8, 2015
Review of measures of worksite environmental and policy supports for physical activity and healthy eatingJ Aaron Hipp, Dominic N Reeds, Margaret A van Bakergem, et al.
Plos One|September 7, 2017
The relations between sleep, time of physical activity, and time outdoors among adult womenKate Murray, Suneeta Godbole, Loki Natarajan, et al.
Plos One|June 28, 2019
Latent profile analysis of accelerometer-measured sleep, physical activity, and sedentary time and differences in health characteristics in adult womenKelsie M Full, Kevin Moran, Jordan Carlson, et al.
Preventive Medicine|December 15, 2019
Neighborhood characteristics associated with park use and park-based physical activity among children in low-income diverse neighborhoods in New York CityJing-Huei Huang, J Aaron Hipp, Oriol Marquet, et al.
International Journal of Environmental Research and Public Health|December 2, 2017
Automated Ecological Assessment of Physical Activity: Advancing Direct ObservationJordan A Carlson, Bo Liu, James F Sallis, et al.
American Journal of Health Promotion : AJHP|September 18, 2025
Investigating Socioeconomic Disparities in Park Access Across Two Southeastern US Cities Using a Unique Park Metric: An Ecological AnalysisAndrew T Kaczynski, Marilyn E Wende, Jasper Schipperijn, et al.
Preventive Medicine|November 20, 2019
Building evidence to reduce inequities in youth physical activity and obesity: Introduction to the Physical Activity Research Center (PARC) Special SectionJames F Sallis, Nisha Botchwey, Myron F Floyd, et al.
Medicine and Science in Sports and Exercise|March 17, 2020
Automated High-Frequency Observations of Physical Activity Using Computer VisionJordan A Carlson, B O Liu, James F Sallis, et al.
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