Evidence map›Paper›PMID 40619433›Full record

ArticleThe international journal of behavioral nutrition and physical activity2025

GPS-based street-view greenspace exposure and wearable assessed physical activity in a prospective cohort of US women.

Li Yi, Jaime E Hart, Grete Wilt, Cindy R Hu, Marcia Pescador Jimenez, Pi-I Debby Lin, Esra Suel, Perry Hystad, Steve Hankey, Wenwen Zhang and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

13 authors.

Li YiDivision of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Drive 4th Floor East, Boston, MA, 02215, USA. li_yi@hsph.harvard.edu.
Jaime E HartChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Grete WiltDepartment of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Cindy R HuDepartment of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Marcia Pescador JimenezDepartment of Epidemiology, Boston University School of Public of Health, Boston, MA, USA.
Pi-I Debby LinDivision of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Drive 4th Floor East, Boston, MA, 02215, USA.
Esra SuelCentre for Advanced Spatial Analysis, University College London, London, UK.
Perry HystadCollege of Health, Oregon State University, Corvallis, OR, USA.
Steve HankeySchool of Public and International Affairs, Virginia Polytechnic Institute and State University, Blacksburg, USA.
Wenwen ZhangEdward J. School of Planning and Public Policy, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA.
Jorge E ChavarroDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Francine LadenChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Peter JamesDivision of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Drive 4th Floor East, Boston, MA, 02215, USA. pjames@ucdavis.edu.

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
Integrating lifecourse approaches, biologic and digital phenotypes in support of heart and lung disease epidemiologic researchU01HL145386 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI CHAVARRO, JORGE EDUARDO, MANSON, JOANN ELISABETH · 2019 to 2025
$17.8M
Built Environment Assessment through Computer visiON (BEACON): Applying Deep Learning to Street-Level and Satellite Images to Estimate Built Environment Effects on Cardiovascular HealthR01HL150119 · NHLBI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI JAMES, PETER · 2020 to 2024
$3.9M
Environmental Resources for Individual Cognitive Health/Resilience (EnRICH)R01AG087199 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Marcia Ixchel Pescador Jimenez · 2024 to 2026
$2.3M
Neurodegenerative diseases and the role of green space: A deep learning assessmentR00AG066949 · NIA · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI PESCADOR JIMENEZ, MARCIA IXCHEL · 2022 to 2024
$738k
NHLBI NIH HHS R01 HL150119NHLBI NIH HHS U01 HL145386NIA NIH HHS R00 AG066949NIA NIH HHS R01 AG087199NIEHS NIH HHS P30 ES000002
6 · The paper itself

Abstract

backgroundIncreasing evidence positively links greenspace and physical activity (PA). However, most studies use measures of greenspace, such as satellite-based vegetation indices around the residence, which fail to capture ground-level views and day-to-day dynamic exposures, potentially misclassifying greenspace and limiting policy relevance.

methodsWe analyzed data from the US-based Nurses' Health Study 3 Mobile Health Substudy (2018-2020). Participants wore Fitbits™ and provided smartphone global positioning system (GPS) for four 7-day periods throughout the year. Street-view greenspace (%trees, %grass, %other greenspace [flowers/plants/fields]) were derived from 2019 street-view imagery using deep-learning algorithms at a 100-meter resolution and linked to 10-minute GPS observations. Average steps-per-minute for were calculated for each 10-minute period following each GPS observation. Generalized Additive Mixed Models examined associations of street-view greenspace exposure with PA, adjusting for individual and area-level covariates. We considered effect modification by region, season, neighborhood walkability and socioeconomic status (SES), temperature, and precipitation.

resultsOur sample included 335 participants (mean

conclusionsIn this prospective cohort, momentary street-view exposure to trees and grass was inversely associated with PA, while exposure to other greenspace was positively associated. Future research should confirm these results in other populations and explore the mechanisms through which specific greenspace components influence PA.

Indexed as

Environment DesignExerciseGeographic Information SystemsNeighborhood CharacteristicsWearable Electronic DevicesAdultFemaleHumansMiddle AgedProspective StudiesResidence CharacteristicsUnited StatesWalkingDeep learningGlobal positioning systemGreenspaceMachine learningMobile healthNaturePhysical activityStreet view imageWearables

Identifiers

PMID40619433
PMCPMC12232564

What OpenQuestion holds

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LicenceCC BY
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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.