ArticleAmerican journal of preventive medicine2016
"Spatial Energetics": Integrating Data From GPS, Accelerometry, and GIS to Address Obesity and Inactivity.
Article in American journal of preventive medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses 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
39 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Pooled it
- Methodologies for assessing contextual exposure to the built environment in physical activity studies: A systematic review.Health & place · 2019Pooled it
- Activity spaces in studies of the environment and physical activity: A review and synthesis of implications for causality.Health & place · 2019Pooled it
- Kernel Density Estimation as a Measure of Environmental Exposure Related to Insulin Resistance in Breast Cancer Survivors.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017Trial
- 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
- Opportunities for physical activity research in Puerto Rico: a review of the literature.Discover public health · 2025Review
- 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
- BAYESIAN HIERARCHICAL MODELING AND ANALYSIS FOR ACTIGRAPH DATA FROM WEARABLE DEVICES.The annals of applied statistics · 2023Article
- Population mobility data provides meaningful indicators of fast food intake and diet-related diseases in diverse populations.NPJ digital medicine · 2023Article
- A Mobile Health Application Using Geolocation for Behavioral Activity Tracking.Sensors (Basel, Switzerland) · 2023Article
- Mental Health in Urban Environments: Uncovering the Black Box of Person-Place Interactions Requires Interdisciplinary Approaches.JMIR mHealth and uHealth · 2023Article
- Comparison of static and dynamic exposures to air pollution, noise, and greenness among seniors living in compact-city environments.International journal of health geographics · 2023Article
- Invited Perspective: Can My Smartphone Assess My Exposure? The Potential to Retroactively Estimate Personalized Exposures using Smartphone Location Data.Environmental health perspectives · 2022Article
- The geospatial and conceptual configuration of the natural environment impacts the association with health outcomes and behavior in children and adolescents.International journal of health geographics · 2022Article
- GPS-based activity space exposure to greenness and walkability is associated with increased accelerometer-based physical activity.Environment international · 2022Article
- Geographic Density and Uptake of Pre-exposure Prophylaxis (PrEP) Among Young Gay, Bisexual and Other Sexual Minority Men: A Global Positioning System (GPS) Study.AIDS and behavior · 2021Article
- Geospatial Analysis of Neighborhood Environmental Stress in Relation to Biological Markers of Cardiovascular Health and Health Behaviors in Women: Protocol for a Pilot Study.JMIR research protocols · 2021Article
- Comparing Methods to Identify Wear-Time Intervals for Physical Activity With the Fitbit Charge 2.Journal of aging and physical activity · 2021Article
- Measuring Nature Contact: A Narrative Review.International journal of environmental research and public health · 2021Review
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
To address the current obesity and inactivity epidemics, public health researchers have attempted to identify spatial factors that influence physical inactivity and obesity. Technologic and methodologic developments have led to a revolutionary ability to examine dynamic, high-resolution measures of temporally matched location and behavior data through GPS, accelerometry, and GIS. These advances allow the investigation of spatial energetics, high-spatiotemporal resolution data on location and time-matched energetics, to examine how environmental characteristics, space, and time are linked to activity-related health behaviors with far more robust and detailed data than in previous work. Although the transdisciplinary field of spatial energetics demonstrates promise to provide novel insights on how individuals and populations interact with their environment, there remain significant conceptual, technical, analytical, and ethical challenges stemming from the complex data streams that spatial energetics research generates. First, it is essential to better understand what spatial energetics data represent, the relevant spatial context of analysis for these data, and if spatial energetics can establish causality for development of spatially relevant interventions. Second, there are significant technical problems for analysis of voluminous and complex data that may require development of spatially aware scalable computational infrastructures. Third, the field must come to agreement on appropriate statistical methodologies to account for multiple observations per person. Finally, these challenges must be considered within the context of maintaining participant privacy and security. This article describes gaps in current practice and understanding and suggests solutions to move this promising area of research forward.
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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.