Evidence map›Paper›PMID 24199747›Full record

Trial reportBMC public health2013

A lifestyle intervention supported by mobile health technologies to improve the cardiometabolic risk profile of individuals at risk for cardiovascular disease and type 2 diabetes: study rationale and protocol.

Melanie I Stuckey, Sheree Shapiro, Dawn P Gill, Robert J Petrella

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01944124 (A Lifestyle Intervention Supported by Mobile Health Technologies to Improve the Cardiometabolic Risk Profile of Individuals at Risk for Cardiovascular Disease and Type 2 Diabetes.), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
10.3field-weighted citation impact, top 2% 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.

NCT01944124 nacompletednot on this map

A Lifestyle Intervention Supported by Mobile Health Technologies to Improve the Cardiometabolic Risk Profile of Individuals at Risk for Cardiovascular Disease and Type 2 Diabetes.

TypeinterventionalSponsorLondon Health Sciences Centre Research Institute OR Lawson Research Institute of St. Joseph'sRan2009 to 2011Enrolled149ConditionsMetabolic Syndrome XArmsMobile Health, Exercise Prescription
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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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

4 authors at 2 institutions in 2 countries.

Melanie I Stuckey
Sheree Shapiro
Dawn P Gill
Robert J PetrellaLawson Health Research Institute, Aging Rehabilitation and Geriatric Care Research Centre, 801 Commissioners Rd E, Ste B 3002, London, Ontario N6C 5J1, Canada. petrella@uwo.ca.
Lawson Health Research Institute · CAUniversity of Washington · US

Funding

Canadian Institutes of Health Research CCT-83029
6 · The paper itself

Abstract

backgroundMetabolic syndrome is a cluster of cardiovascular risk factors that greatly increase the risk of developing cardiovascular disease and type 2 diabetes. Regular exercise improves the risk profile, but most people do not successfully change their exercise habits to beneficially reduce risk. Tailored exercise prescribed by a family physician has shown promise as a means to increase fitness and reduce cardiometabolic risk, but optimal implementation practices remain unknown. Mobile health technologies have proved to be a beneficial tool to achieve blood pressure and blood glucose control in patients with diabetes. These technologies may address the limited access to health interventions in rural and remote regions. However, the potential as a tool to support exercise-based prevention activities is not well understood. This study was undertaken to investigate the effects of a tailored exercise prescription alone or supported by mobile health technologies to improve metabolic syndrome and related cardiometabolic risk factors in rural community-dwelling adults at risk for cardiovascular disease and type 2 diabetes. METHODS/

designAdults (n = 149) with at least two metabolic syndrome risk factors were recruited from rural communities and randomized to either: 1) an intervention group receiving an exercise prescription and devices for monitoring of risk factors with a smartphone data portal equipped with a mobile health application; or 2) an active control group receiving only an exercise prescription. All participants reported to the research centre at baseline, and at 12-, 24- and 52-week follow-up visits for measurement of anthropometrics and blood pressure and for a blood draw to test blood-borne markers of cardiometabolic health. Vascular and autonomic function were examined. Fitness was assessed and exercise prescribed according to the Step Test and Exercise Prescription protocol. DISCUSSION: This study tested the effects of a prescriptive exercise intervention alone, versus one supported by mobile health technology on cardiometabolic risk factors. The intervention was designed to be translated into clinical or community-based programming. Results will contribute to the current literature by investigating the utility of mobile health technology support for exercise prescription interventions to improve cardiometabolic risk status and maintain improvements over time; particularly in rural communities.

trial registrationCLINICAL TRIALS REGISTRATION: NCT01944124.

Indexed as

Exercise TherapyLife StyleTelemedicineAdolescentAdultAgedCardiovascular DiseasesCell PhoneDiabetes Mellitus, Type 2FemaleFollow-Up StudiesHealth PromotionHumansMaleMetabolic SyndromeMiddle Aged

Identifiers

PMID24199747
PMCPMC3922899
OpenAlexW2075386695

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.