Evidence map›Paper›PMID 25379976›Full record

ArticleTelemedicine journal and e-health : the official journal of the American Telemedicine Association2015

Physical activity behavior, barriers to activity, and opinions about a smartphone-based physical activity intervention among rural residents.

Allison N Kurti, Henrietta Logan, Todd Manini, Jesse Dallery

Abstract read
In one paragraph

Article in Telemedicine journal and e-health : the official journal of the American Telemedicine Association, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Rural and Urban/Suburban Families' Use of a Web-Based Mental Health Intervention.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2017
    Article
  10. Article
  11. Article
  12. Article
  13. Evaluating tablet computers as a survey tool in rural communities.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2015
    Article
  14. 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

4 authors.

Allison N Kurti1 Department of Psychology, University of Florida , Gainesville, Florida.
Henrietta Logan
Todd Manini
Jesse Dallery

Funding

University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI CHRISTIAAN LEEUWENBURGH · 2007 to 2026
$22.8M
Metabolic Costs of Daily Activities in Older AdultsR01AG042525 · NIA · UNIVERSITY OF FLORIDA · PI MANINI, TODD · 2013 to 2017
$1.6M
NIA NIH HHS P30 AG028740NIA NIH HHS R01 AG042525
6 · The paper itself

Abstract

backgroundRural Americans engage in less physical activity (PA) and experience higher rates of consequent health problems (i.e., obesity, cardiovascular disease) than urban Americans. Although geographic barriers have historically made this population hard to reach, rural individuals are increasingly gaining access to smartphones. Thus, the purpose of this study was to evaluate PA behavior and barriers to PA among rural residents and to gauge their receptiveness to a smartphone-based PA intervention that is currently in the development stage. MATERIALS AND

methodsRural Floridian adults (n=113), 18 years of age and older, completed surveys to assess PA behavior, PA barriers, and opinions about an intervention to increase PA. Specifically, they were asked to imagine a program that would require them to do PA with their mobile phones and whether they viewed intended aspects of the program as helpful. The present work is therefore formative research that sought to determine the feasibility and acceptability of a smartphone-based intervention among rural residents. RESULTS of the survey will inform the development of a tailored, smartphone-based PA intervention.

resultsThe 37.2% of participants with low PA levels (<600 metabolic equivalent [MET]-min per week) were more likely to report personal and environmental barriers to PA than the 47.8% of participants with moderate PA levels (≥600 MET-min per week). More barriers were reported among participants who self-reported as white and among participants of older age, lower education level, and lower socioeconomic status. Additionally, 75.9% of participants reported features of the intervention as at least somewhat helpful.

conclusionsThe growing ubiquity of smartphones among rural residents, combined with participants' positive response to the program description, supports the acceptability of a smartphone-based PA intervention for rural communities. Given the participants' receptiveness, future research should evaluate the efficacy of smartphone-delivered health behavior interventions among this population.

Indexed as

ExerciseRural PopulationSmartphoneAdultAgedAge FactorsEnvironmentFemaleFloridaHealth BehaviorHumansMaleMiddle AgedReminder SystemsSocioeconomic FactorsTelemedicinebehavioral healthe-healthmobile healthsensor technologytechnology

Identifiers

PMID25379976
PMCPMC4346555

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.