Evidence map›Paper›PMID 41902071›Full record

ArticleSensors (Basel, Switzerland)2026

Demographic Associations with GPS-Inferred Routine Activity Spaces: Data from the Everyday Environments and Experiences (E3) Study.

Nathan Ryder, Ulf G Bronas, Jason Westra, Jieqi Tu, Evan De Jong, Yosef Bodovski, Kiarri N Kershaw, Nathan L Tintle

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Nathan RyderDepartment of Population Health Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL 60612, USA.ORCID 0000-0001-5587-2306
Ulf G BronasDivision of Research and Scholarship, School of Nursing, Columbia University, New York, NY 10032, USA.ORCID 0000-0002-7896-0832
Jason WestraDepartment of Population Health Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL 60612, USA.
Jieqi TuDepartment of Biostatistics, School of Public Health, University of Illinois Chicago, Chicago, IL 60612, USA.ORCID 0000-0002-0905-0798
Evan De JongDepartment of Population Health Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL 60612, USA.
Yosef BodovskiPopulation Research Institute, Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0003-1850-1180
Kiarri N KershawDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.ORCID 0000-0002-0063-6397
Nathan L TintleDepartment of Population Health Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL 60612, USA.ORCID 0000-0003-1447-9107

Funding

A Dynamic Environmental Exposure Approach to Study Behaviors in Mid-LifeR01AG062180 · NIA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI BRONAS, ULF G, KERSHAW, KIARRI N · 2019 to 2024
$3.3M
National Institute of Health - USA R01-AG062180NIA NIH HHS R01 AG062180
6 · The paper itself

Abstract

People in midlife interact with several different environments during their daily life including employment, leisure, commuting, and various family responsibilities, a concept defined as activity space. However, little is known about how these activity spaces contribute to individuals' daily health behavior choices. The Everyday Environments and Experiences (E3) study was conducted to explore these relationships. In this paper, we provide a reproducible GPS processing workflow to generate time-weighted exposure measures (activity spaces) inferred from 21 days of continuous GPS monitoring among 340 midlife adults in Cook County, Illinois (

Indexed as

EnvironmentGeographic Information SystemsActivities of Daily LivingAdultDemographyExerciseFemaleHumansMaleMiddle Agedexercisephysical activitysystemic inequityurban

Identifiers

PMID41902071
PMCPMC13030801

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Registered trials

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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.