SynthesisHealth & place2019
Methodologies for assessing contextual exposure to the built environment in physical activity studies: A systematic review.
Synthesis in Health & place, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Children's outdoor active mobility behaviour and neighbourhood safety: a systematic review in measurement methods and future research directions.International journal of health geographics · 2021Pooled it
- Invited Perspective: How Do Green- and Bluespaces Reduce Heat-Related Health Risks? Gaining New Insights from Street-View Imagery, Deep Learning Models, and Smartphone Data.Environmental health perspectives · 2026Review
- Harnessing Geospatial Artificial Intelligence (GeoAI) for Environmental Epidemiology: A Narrative Review.Current environmental health reports · 2025Review
- Measuring Psychological Well-Being and Behaviors Using Smartphone-Based Digital Phenotyping: An Intensive Longitudinal Observational mHealth Pilot Study Embedded in a Prospective Cohort of Women.JMIR mHealth and uHealth · 2025Observational
- A Systematic Review of the Bibliometrics and Methodological Research Used on Studies Focused on School Neighborhood Built Environment and the Physical Health of Children and Adolescents.Children (Basel, Switzerland) · 2025Review
- GPS-based street-view greenspace exposure and wearable assessed physical activity in a prospective cohort of US women.The international journal of behavioral nutrition and physical activity · 2025Article
- Changes in activity spaces, life spaces, and exposures to physical activity-promoting environments among women with overweight or obesity.Health & place · 2025Article
- A review of geospatial exposure models and approaches for health data integration.Journal of exposure science & environmental epidemiology · 2025Review
- Greenspace and depression incidence in the US-based nationwide Nurses' Health Study II: A deep learning analysis of street-view imagery.Environment international · 2025Article
- Assessing greenspace and cardiovascular health through deep-learning analysis of street-view imagery in a cohort of US children.Environmental research · 2025Article
- Defining household exposure to the food environment: A comparison of measures based on residential area and activity space.PloS one · 2025Article
- Satellite-Based and Street-View Green Space and Adiposity in US Children.JAMA network open · 2024Article
- Smartphone GPS-Based Exposure to Greenspace and Walkability and Accelerometer-Assessed Physical Activity During Pregnancy and Early Postpartum-Evidence from the MADRES Cohort.Journal of urban health : bulletin of the New York Academy of Medicine · 2024Article
- Qualitative exploration of determinants of active mobility and social participation in Urban neighborhoods: individual perceptions over objective factors?Archives of public health = Archives belges de sante publique · 2024Article
- Measuring Environmental and Behavioral Drivers of Chronic Diseases Using Smartphone-Based Digital Phenotyping: Intensive Longitudinal Observational mHealth Substudy Embedded in 2 Prospective Cohorts of Adults.JMIR public health and surveillance · 2024Observational
- Life Space and Activity Space Measurement: Making "Room" for Structural Racism.The Gerontologist · 2024Review
- GPS-derived environmental exposures during pregnancy and early postpartum - Evidence from the madres cohort.The Science of the total environment · 2024Article
- Statistical inference for complete and incomplete mobility trajectories under the flight-pause model.Journal of the Royal Statistical Society. Series C, Applied statistics · 2024Article
- Association between residential greenness and severe psychological distress and the moderating role of 'stay-at-home' status: a population-based cross-sectional study during the COVID-19 pandemic in Japan.BMJ public health · 2023Article
- A Mobile Health Application Using Geolocation for Behavioral Activity Tracking.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Growing research has integrated Global Positioning Systems (GPS), Geographic Information Systems (GIS), and accelerometry in studying effects of built environment on physical activity outcomes. This systematic review aimed to summarize current geospatial methods of assessing contextual exposure to the built environment in these studies. Based on reviewing 79 eligible articles, methods were identified and grouped into three main categories based on similarities in their approaches as follows: domain-based (67% of studies), buffer-based (22%), and activity space-based (11%). Additionally, technical barriers and potential sources of uncertainties in each category were discussed and recommendations on methodological improvements were made.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.