ArticleAmerican journal of preventive medicine2015
Patterns of Walkability, Transit, and Recreation Environment for Physical Activity.
Article in American journal of preventive medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Objectively measuring the association between the built environment and physical activity: a systematic review and reporting framework.The international journal of behavioral nutrition and physical activity · 2022Pooled it
- How different are objective operationalizations of walkability for older adults compared to the general population? A systematic review.BMC geriatrics · 2022Pooled it
- A comparison of self-reported and device measured sedentary behaviour in adults: a systematic review and meta-analysis.The international journal of behavioral nutrition and physical activity · 2020Pooled it
- A systematic review of the clinical application of data-driven population segmentation analysis.BMC medical research methodology · 2018Pooled it
- Impact of Booster Breaks and Computer Prompts on Physical Activity and Sedentary Behavior Among Desk-Based Workers: A Cluster-Randomized Controlled Trial.Preventing chronic disease · 2016Trial
- The land cover paradox: Characteristics of blue- and green spaces within and beyond high-risk suicide clusters.SSM - population health · 2025Article
- Understanding the relationship between built environment features and physical activity in the Caribbean: A scoping review.Dialogues in health · 2023Article
- Urban Form Metrics for Promoting Walking: Street Layouts and Destinations.Journal of urban health : bulletin of the New York Academy of Medicine · 2023Article
- Observational
- Longitudinal association of built environment pattern with DXA-derived body fat in elderly Hong Kong Chinese: a latent profile analysis.International journal of obesity (2005) · 2021Article
- Neighborhood archetypes and breast cancer survival in California.Annals of epidemiology · 2021Article
- Longitudinal Association of Built Environment Pattern with Physical Activity in a Community-Based Cohort of Elderly Hong Kong Chinese: A Latent Profile Analysis.International journal of environmental research and public health · 2020Article
- Associations between body mass index, physical activity and the built environment in disadvantaged, minority neighborhoods: Predictive validity of GigaPan® imagery.Journal of transport & health · 2020Article
- Residential neighborhood features associated with objectively measured walking near home: Revisiting walkability using the Automatic Context Measurement Tool (ACMT).Health & place · 2020Article
- Do the Walkability and Urban Leisure Amenities of Neighborhoods Affect the Body Mass Index of Individuals? Based on a Case Study in Seoul, South Korea.International journal of environmental research and public health · 2020Article
- Latent Class Analysis Offers Insight into the Complex Food Environments of Native American Communities: Findings from the Randomly Selected OPREVENT2 Trial Baseline Sample.International journal of environmental research and public health · 2020Article
- Built Environment Exposures of Adults in the Moving to Opportunity Experiment.Housing studies · 2020Article
- Would increasing access to recreational places promote healthier weights and a healthier nation?Health & place · 2019Article
- Association between objectively measured built environments and adult physical activity in Gyeonggi province, Korea.International journal of public health · 2018Article
- Objectively Measured Neighborhood Walkability and Change in Physical Activity in Older Japanese Adults: A Five-Year Cohort Study.International journal of environmental research and public health · 2018Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
introductionDiverse combinations of built environment (BE) features for physical activity (PA) are understudied. This study explored whether patterns of GIS-derived BE features explained objective and self-reported PA, sedentary behavior, and BMI.
methodsNeighborhood Quality of Life Study participants (N=2,199, aged 20-65 years, 48.2% female, 26% ethnic minority) were sampled in 2001-2005 from Seattle / King County WA and Baltimore MD / Washington DC regions. Their addresses were geocoded to compute net residential density, land use mix, retail floor area ratio, intersection density, public transit, and public park and private recreation facility densities using a 1-km network buffer. Latent profile analyses (LPAs) were estimated from these variables. Multilevel regression models compared profiles on accelerometer-measured moderate to vigorous PA (MVPA) and self-reported PA, adjusting for covariates and clustering. Analyses were conducted in 2013-2014.
resultsSeattle region LPAs yielded four profiles, including low walkability/transit/recreation (L-L-L); mean walkability/transit/recreation (M-M-M); moderately high walkability/transit/recreation (MH-MH-MH); and high walkability/transit/recreation (H-HH). All measures were higher in the HHH than the LLL profile (difference of 17.1 minutes/day for MVPA, 146.5 minutes/week for walking for transportation, 58.2 minutes/week for leisure-time PA, and 2.2 BMI points; all p<0.05). Baltimore region LPAs yielded four profiles, including L-L-L; M-M-M; high land use mix, transit, and recreation (HLU-HT-HRA); and high intersection density, high retail floor area ratio (HID-HRFAR). HLU-HT-HRA and L-L-L differed by 12.3 MVPA minutes/day; HID-HRFAR and L-L-L differed by 157.4 minutes/week for walking for transportation (all p<0.05).
conclusionsPatterns of environmental features explain greater differences in adults' PA than the four-component walkability index.
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Registered trials
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