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      Where Are Adults Active? An Examination of Physical Activity Locations Using GPS in Five US Cities

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          Abstract

          Increasing physical activity (PA) at the population level requires appropriately targeting intervention development. Identifying the locations in which participants with various sociodemographic, body weight, and geographic characteristics tend to engage in varying intensities of PA as well as locations these populations underutilize for PA may facilitate this process. A visual location-coding protocol was developed and implemented in Google Fusion Tables and Maps using data from participants ( N = 223, age 18–85) in five states. Participants concurrently wore ActiGraph GT1M accelerometers and Qstarz BT-Q1000X GPS units for 3 weeks to identify locations of moderate-to-vigorous (MVPA) or vigorous (VPA) bouts. Cochran-Mantel-Haenzel general association tests examined usage differences by participant characteristics (sex, age, race/ethnicity, education, body mass index (BMI), and recruitment city). Homes and roads encompassed >40% of bout-based PA minutes regardless of PA intensity. Fitness facilities and schools were important for VPA (19 and 12% of bout minutes). Parks were used for 13% of MVPA bout minutes but only 4% of VPA bout minutes. Hispanics, those without a college degree, and overweight/obese participants frequently completed MVPA bouts at home. Older adults often used roads for MVPA bouts. Hispanics, those with ≤high school education, and healthy/overweight participants frequently had MVPA bouts in parks. Applying a new location-coding protocol in a diverse population showed that adult PA locations varied by PA intensity, sociodemographic characteristics, BMI, and geographic location. Although homes, roads, and parks remain important locations for demographically targeted PA interventions, observed usage patterns by participant characteristics may facilitate development of more appropriately targeted interventions.

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          The online version of this article (doi:10.1007/s11524-017-0164-z) contains supplementary material, which is available to authorized users.

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          Author and article information

          Contributors
          919-966-1967 , khausman@email.unc.edu
          Journal
          J Urban Health
          J Urban Health
          Journal of Urban Health : Bulletin of the New York Academy of Medicine
          Springer US (New York )
          1099-3460
          1468-2869
          25 May 2017
          August 2017
          : 94
          : 4
          : 459-469
          Affiliations
          [1 ] ISNI 0000 0001 1034 1720, GRID grid.410711.2, Department of Epidemiology, , University of North Carolina, ; 137 E. Franklin Street, Suite 306, Chapel Hill, NC 27514 USA
          [2 ] ISNI 0000 0001 1034 1720, GRID grid.410711.2, Department of Biostatistics, , University of North Carolina, ; Chapel Hill, NC USA
          [3 ] ISNI 0000 0001 1034 1720, GRID grid.410711.2, Department of Geography, , University of North Carolina, ; Chapel Hill, NC USA
          [4 ] ISNI 0000 0001 2181 7878, GRID grid.47840.3f, Department of City and Regional Planning, , University of California, ; Berkeley, CA USA
          Article
          PMC5533664 PMC5533664 5533664 164
          10.1007/s11524-017-0164-z
          5533664
          28547345
          2b146581-9787-4f4a-ac9f-7c9c0270cc44
          © The New York Academy of Medicine 2017
          History
          Funding
          Funded by: FundRef http://dx.doi.org/10.13039/100000050, National Heart, Lung, and Blood Institute;
          Award ID: R01HL092569
          Award ID: T32-HL007055
          Award ID: R01HL083869
          Funded by: FundRef http://dx.doi.org/10.13039/100000066, National Institute of Environmental Health Sciences;
          Award ID: T32-ES007018
          Categories
          Article
          Custom metadata
          © The New York Academy of Medicine 2017

          Location-coding protocol,Health behavior,Accelerometry,Global positioning system

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