Evidence map›Paper›PMID 36966668›Full record

ArticleHealth & place2023

Association between passively collected walking and bicycling data and purposefully collected active commuting survey data-United States, 2019.

Graycie W Soto, Bryant J Webber, Kelly Fletcher, Tiffany J Chen, Michael D Garber, Akimi Smith, Grete Wilt, Michel Conn, Geoffrey P Whitfield

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Health & place, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Modern sources of controls in case-control studies.American journal of epidemiology · 2025
    Article
  3. 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.

Graycie W SotoDivision of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Hwy, Atlanta, GA, 30341, USA; Oak Ridge Institute for Science and Education (ORISE) Research Participation Program, Oak Ridge, TN, 37831, USA. Electronic address: qxb1@cdc.gov.
Bryant J WebberDivision of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Hwy, Atlanta, GA, 30341, USA; Epidemic Intelligence Service, Centers for Disease Control and Prevention, 1600 Clifton Rd, Atlanta, GA, 30329, USA.
Kelly FletcherGeospatial Research, Analysis, and Services Program, Centers for Disease Control and Prevention, 4770 Buford Hwy, Atlanta, GA, 30341, USA.
Tiffany J ChenDivision of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Hwy, Atlanta, GA, 30341, USA; McKing Consulting Corporation, 2900 Chamblee Tucker Road, Building 10, Suite 100, Atlanta, GA, 30341, USA.
Michael D GarberGeospatial Research, Analysis, and Services Program, Centers for Disease Control and Prevention, 4770 Buford Hwy, Atlanta, GA, 30341, USA; Department of Environmental and Radiological Health Sciences, Colorado State University, Environmental Health Building, 1681 Campus Delivery, Fort Collins, CO, 80523, USA.
Akimi SmithDivision of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Hwy, Atlanta, GA, 30341, USA.
Grete WiltGeospatial Research, Analysis, and Services Program, Centers for Disease Control and Prevention, 4770 Buford Hwy, Atlanta, GA, 30341, USA.
Michel ConnGeospatial Research, Analysis, and Services Program, Centers for Disease Control and Prevention, 4770 Buford Hwy, Atlanta, GA, 30341, USA.
Geoffrey P WhitfieldDivision of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Hwy, Atlanta, GA, 30341, USA.

Funding

CDC HHSIntramural CDC HHS CC999999
6 · The paper itself

Abstract

Commercially-available location-based services (LBS) data derived primarily from mobile devices may provide an alternative to surveys for monitoring physically-active transportation. Using Spearman correlation, we compared county-level metrics of walking and bicycling from StreetLight with metrics of physically-active commuting among U.S. workers from the American Community Survey. Our strongest pair of metrics ranked counties (n = 298) similarly for walking (rho = 0.53 [95% CI: 0.44-0.61]) and bicycling (rho = 0.61 [0.53-0.67]). Correlations were higher for denser and more urban counties. LBS data may offer public health and transportation professionals timely information on walking and bicycling behavior at finer geographic scales than some existing surveys.

Indexed as

BicyclingWalkingGeographic Information SystemsHumansSurveys and QuestionnairesTransportationUnited StatesBicyclingGeographic information systemsMobility dataPopulation surveillanceTransportationWalking

Identifiers

PMID36966668
PMCPMC10283011

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.