Evidence map›Paper›PMID 37648192›Full record

ArticleEnvironmental research2023

Minute level smartphone derived exposure to greenness and consumer wearable derived physical activity in a cohort of US women.

Grete E Wilt, Charlotte J Roscoe, Cindy R Hu, Unnati V Mehta, Brent A Coull, Jaime E Hart, Steven Gortmaker, Francine Laden, Peter James

Abstract read
In one paragraph

Article in Environmental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. 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 · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Geospatial Science for the Environmental Epidemiology of Cancer in the Exposome Era.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    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

9 authors.

Grete E WiltDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States. Electronic address: gwilt@g.harvard.edu.
Charlotte J RoscoeDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Division of Population Sciences, Dana Farber Cancer Institute, Boston, MA, United States.
Cindy R HuDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Unnati V MehtaDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Brent A CoullDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Jaime E HartDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.
Steven GortmakerDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Francine LadenDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.
Peter JamesDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.

Funding

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
High Resolution Measures of Behavioral Cancer Risk Factors From Mobile TechnologyR00CA201542 · NCI · HARVARD PILGRIM HEALTH CARE, INC. · PI JAMES, PETER · 2017 to 2019
$747k
High resolution measures of behavioral cancer risk factors from mobile technologyK99CA201542 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI JAMES, PETER · 2016 to 2016
$129k
NCI NIH HHS K99 CA201542NCI NIH HHS R00 CA201542NHLBI NIH HHS R01 HL150119
6 · The paper itself

Abstract

backgroundInconsistent results have been found in the literature on associations of greenness, or vegetation quantity, and physical activity. However, few studies have assessed associations between mobility-based greenness and physical activity from mobile health data from smartphone and wearable devices with fine spatial and temporal resolution.

methodsWe assessed mobility-based greenness exposure and wearable accelerometer data from participants in the US-based prospective Nurses' Health Study 3 cohort Mobile Health (mHealth) Substudy (2018-2020). We recruited 500 female participants with instructions to wear devices over four 7-day sampling periods equally spaced throughout the year. After restriction criteria there were 337 participants (mean age 36 years) with n = 639,364 unique observations. Normalized Difference Vegetation Index (NDVI) data were derived from 30 m x 30 m Landsat-8 imagery and spatially joined to GPS points recorded every 10 min. Fitbit proprietary algorithms provided physical activity summarized as mean number of steps per minute, which we averaged during the 10-min period following a GPS-based greenness exposure assessment. We utilized Generalized Additive Mixed Models to examine associations (every 10 min) between greenness and physical activity adjusting for neighborhood and individual socioeconomic status, Census region, season, neighborhood walkability, daily mean temperature and precipitation. We assessed effect modification through stratification and interaction models and conducted sensitivity analyses.

resultsMean 10-min step count averaged 7.0 steps (SD 14.9) and greenness (NDVI) averaged 0.3 (SD 0.2). Contrary to our hypotheses, higher greenness exposure was associated non-linearly with lower mean steps per minute after adjusting for confounders. We observed statistically significant effect modification by Census region and season. DISCUSSION: We utilized objective physical activity data at fine temporal and spatial scales to present novel estimates of the association between mobility-based greenness and step count. We found higher levels of greenness were inversely associated with steps per minute.

Indexed as

ExerciseSmartphoneWearable Electronic DevicesAccelerometryAdultCohort StudiesFemaleHumansMiddle AgedProspective StudiesUnited States

Identifiers

PMID37648192
PMCPMC11146007

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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.