Evidence map›Paper›PMID 29226917›Full record

ArticleJournal of hospital management and health policy2017

Toward research-tested mobile health interventions to prevent diabetes and cardiovascular disease among persons with pre-diabetes.

Steven S Coughlin, Jessica Lynn Stewart

Open access · hybridAbstract read
In one paragraph

Article in Journal of hospital management and health policy, 2017. 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
1.5field-weighted citation impact, top 13% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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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

2 authors at 1 institution in 1 country.

Steven S CoughlinDepartment of Clinical and Digital Health Sciences, College of Allied Health Sciences, Augusta University, Augusta, GA, USA.
Jessica Lynn StewartDepartment of Clinical and Digital Health Sciences, College of Allied Health Sciences, Augusta University, Augusta, GA, USA.
Augusta University Health · US

Funding

EPIDEMIOLOGY OF IDIOPATHIC DILATED CARDIOMYOPATHYR29HL044904 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI COUGHLIN, STEVEN S · 1990 to 1994
–
NHLBI NIH HHS R29 HL044904
6 · The paper itself

Abstract

backgroundAbout 35% of US adults have pre-diabetes and an increased risk of diabetes. Consumer-facing devices such as the Fitbit help users become more physically active and manage their weight which reduces risk of diabetes and cardiovascular disease.

methodsIn this commentary we provide a summary of healthy lifestyle intervention studies involving persons with pre-diabetes including those conducted in routine clinical practice. We also provide an account of how such interventions might be enhanced through the use of wearable devices linked to smartphone applications.

resultsIn initial trials focusing on overweight and obesity, consumer wearable devices have been shown to increase physical activity and reduce weight. However, the acceptability and effectiveness of these mHealth interventions among persons with impaired glucose tolerance or impaired fasting glucose is unknown; studies involving persons with pre-diabetes have not yet been reported.

conclusionsResearch is needed to determine the feasibility and efficacy of wearable devices in improving physical activity and weight management in persons with pre-diabetes who are at-risk of diabetes and cardiovascular disease.

Indexed as

Impaired fasting glucoseimpaired glucose toleranceobesityphysical activitypre-diabetesrandomized controlled trialssmartphone applicationsweight loss

Identifiers

PMID29226917
PMCPMC5721672
OpenAlexW2771057581

What OpenQuestion holds

Textmetadata
LicenceTDM
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.