Evidence map›Paper›PMID 35060782›Full record

ArticlePublic health reports (Washington, D.C. : 1974)

Rural-Urban Differences in Physical Activity Tracking and Engagement in a Web-Based Platform.

Andrew C Pickett, Maria Bowie, Alison Berg, Samuel D Towne, Stephanie Hollifield, Matthew Lee Smith

Open access · greenAbstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 44% of its field
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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. A Scoping Review of the Mechanisms Influencing Socioeconomic Disparities in Outcomes of Digital Interventions for Weight-Related Behaviors.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Article
  3. Article
  4. Article
  5. 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

6 authors at 4 institutions in 1 country.

Andrew C PickettDivision of Kinesiology & Sport Management, University of South Dakota, Vermillion, SD, USA.ORCID 0000-0003-0454-0517
Maria BowieOffice of the Associate Dean, Cooperative Extension Service, University of Georgia, Athens, GA, USA.
Alison BergDepartment of Nutritional Sciences, College of Family and Consumer Sciences, University of Georgia, Athens, GA, USA.
Samuel D TowneSchool of Global Health Management and Informatics, University of Central Florida, Orlando, FL, USA.
Stephanie HollifieldSouthwest District Extension, University of Georgia, Tifton, GA, USA.
Matthew Lee SmithDepartment of Environmental and Occupational Health, School of Public Health, Texas A&M University, College Station, TX, USA.
University of Georgia · USTexas A&M University · USUniversity of Central Florida · USUniversity of South Dakota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDespite the well-established health benefits of regular participation in physical activity, most adults do not meet recommended exercise guidelines. In rural communities, limited local resources and geographic dispersion make engaging in regular activity particularly difficult. Web-based solutions offer a potential solution for addressing physical activity disparities between rural and urban areas.

methodsThis study examined the physical activity logs of users (n = 6695) of a web-based platform called Walk Georgia, comparing residents of metropolitan and nonmetropolitan areas. We tabulated descriptive statistics for variables of interest, cross-tabulated for metropolitan and nonmetropolitan groups. We then used independent-samples

resultsIn the analysis of group type (n = 6654), users were more likely to enroll in the program as part of a group than as individuals (n = 4391; 65.9%), particularly for users in metropolitan areas (3558 of 5192; 68.5%). Although the groups shared certain activities, nonmetropolitan residents were more likely than metropolitan residents to engage in maintenance-based activities. Nonmetropolitan residents earned fewer program points for their activity than metropolitan users (

conclusionsThe web-based platform was effective in helping individuals track physical activity. Despite engaging in similar amounts of physical activity by time, on average, users in nonmetropolitan areas engaged in less rigorous and more maintenance-based tasks than users in metropolitan areas. One strategy for increasing physical activity among rural populations may be to leverage social support provided by group enrollment in such programming.

Indexed as

ExerciseRural PopulationAdultHumansInternetUnited StatesUrban PopulationWalkingexercisehealth disparitieshealth promotiontechnology

Identifiers

PMID35060782
PMCPMC9730176
OpenAlexW4205251208

What OpenQuestion holds

Textmetadata
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.