Evidence map›Paper›PMID 26553211›Full record

Trial reportJournal of the American Heart Association2015

mActive: A Randomized Clinical Trial of an Automated mHealth Intervention for Physical Activity Promotion.

Seth S Martin, David I Feldman, Roger S Blumenthal, Steven R Jones, Wendy S Post, Rebeccah A McKibben, Erin D Michos, Chiadi E Ndumele, Elizabeth V Ratchford, Josef Coresh and 1 more

3 registry-linked trialsAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of the American Heart Association, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 145 papers, 30 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed, 30 pooled it
–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.

NCT01917812 nacompletednot on this map

mActive: A Blinded, Randomized mHealth Trial of Digital Activity Tracking and Smart Texting to Promote Physical Activity

TypeinterventionalSponsorJohns Hopkins UniversityRan2014 to 2014Enrolled48ConditionsPhysical ActivityArmsDigital Activity Tracker, Smart Text Messaging
NCT02694796 nacompletednot on this map

Long Term Impact of a Physical Activity Intervention Combining Workshop During a Balneotherapy and a Web and Smartphone-based Physical Activity Program After Balneotherapy, on Physical Activity Level : a Randomized Control Trial

TypeinterventionalSponsorAssociation Francaise pour la Recherche ThermaleRan2015 to 2017Enrolled230ConditionsPhysical Activity, Chronic Diseases, Obesity, DiabetesArmsPhysical activity program after a balneotherapy
NCT03069716 nacompletednot on this mapstarted 2017, after this paper: background citation

A Mobile Health Intervention in Pulmonary Arterial Hypertension

TypeinterventionalSponsorVanderbilt University Medical CenterRan2017 to 2020Enrolled49ConditionsPulmonary Arterial Hypertension, Idiopathic Pulmonary Arterial Hypertension, Heritable Pulmonary Arterial Hypertension, Associated Pulmonary Arterial HypertensionArmsSmartphone Text Messaging, Fitbit Charge HR
3 · Its place in the literature

Who cites it

145 citing papers in PubMed, 30 syntheses or guidelines pooled it.

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  16. Using Mobile Applications to Increase Physical Activity: A Systematic Review.International journal of environmental research and public health · 2020
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85 more citing papers are in PubMed but not listed here.

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

11 authors.

Seth S MartinCiccarone Center for the Prevention of Heart Disease, Johns Hopkins University School of Medicine, Baltimore, MD (S.S.M., D.I.F., R.S.B., S.R.J., W.S.P., R.A.M.K., E.D.M., C.E.N., E.V.R., M.J.B.) Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (S.S.M., W.S.P., R.A.M.K., E.D.M., C.E.N., J.C.).
David I FeldmanCiccarone Center for the Prevention of Heart Disease, Johns Hopkins University School of Medicine, Baltimore, MD (S.S.M., D.I.F., R.S.B., S.R.J., W.S.P., R.A.M.K., E.D.M., C.E.N., E.V.R., M.J.B.).
Roger S BlumenthalCiccarone Center for the Prevention of Heart Disease, Johns Hopkins University School of Medicine, Baltimore, MD (S.S.M., D.I.F., R.S.B., S.R.J., W.S.P., R.A.M.K., E.D.M., C.E.N., E.V.R., M.J.B.).
Steven R JonesCiccarone Center for the Prevention of Heart Disease, Johns Hopkins University School of Medicine, Baltimore, MD (S.S.M., D.I.F., R.S.B., S.R.J., W.S.P., R.A.M.K., E.D.M., C.E.N., E.V.R., M.J.B.).
Wendy S PostCiccarone Center for the Prevention of Heart Disease, Johns Hopkins University School of Medicine, Baltimore, MD (S.S.M., D.I.F., R.S.B., S.R.J., W.S.P., R.A.M.K., E.D.M., C.E.N., E.V.R., M.J.B.) Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (S.S.M., W.S.P., R.A.M.K., E.D.M., C.E.N., J.C.).
Rebeccah A McKibbenCiccarone Center for the Prevention of Heart Disease, Johns Hopkins University School of Medicine, Baltimore, MD (S.S.M., D.I.F., R.S.B., S.R.J., W.S.P., R.A.M.K., E.D.M., C.E.N., E.V.R., M.J.B.) Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (S.S.M., W.S.P., R.A.M.K., E.D.M., C.E.N., J.C.).
Erin D MichosCiccarone Center for the Prevention of Heart Disease, Johns Hopkins University School of Medicine, Baltimore, MD (S.S.M., D.I.F., R.S.B., S.R.J., W.S.P., R.A.M.K., E.D.M., C.E.N., E.V.R., M.J.B.) Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (S.S.M., W.S.P., R.A.M.K., E.D.M., C.E.N., J.C.).
Chiadi E NdumeleCiccarone Center for the Prevention of Heart Disease, Johns Hopkins University School of Medicine, Baltimore, MD (S.S.M., D.I.F., R.S.B., S.R.J., W.S.P., R.A.M.K., E.D.M., C.E.N., E.V.R., M.J.B.) Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (S.S.M., W.S.P., R.A.M.K., E.D.M., C.E.N., J.C.).
Elizabeth V RatchfordCiccarone Center for the Prevention of Heart Disease, Johns Hopkins University School of Medicine, Baltimore, MD (S.S.M., D.I.F., R.S.B., S.R.J., W.S.P., R.A.M.K., E.D.M., C.E.N., E.V.R., M.J.B.).
Josef CoreshWelch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (S.S.M., W.S.P., R.A.M.K., E.D.M., C.E.N., J.C.).
Michael J BlahaCiccarone Center for the Prevention of Heart Disease, Johns Hopkins University School of Medicine, Baltimore, MD (S.S.M., D.I.F., R.S.B., S.R.J., W.S.P., R.A.M.K., E.D.M., C.E.N., E.V.R., M.J.B.).

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
CARDIOVASCULAR EPIDEMIOLOGY INSTITUTIONAL TRAININGT32HL007024 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Elizabeth Selvin · 1985 to 2026
$17.5M
NCATS NIH HHS UL1 TR001079NHLBI NIH HHS T32 HL007024NHLBI NIH HHS T32HL07024
6 · The paper itself

Abstract

backgroundWe hypothesized that a fully automated mobile health (mHealth) intervention with tracking and texting components would increase physical activity. METHODS AND

resultsmActive enrolled smartphone users aged 18 to 69 years at an ambulatory cardiology center in Baltimore, Maryland. We used sequential randomization to evaluate the intervention's 2 core components. After establishing baseline activity during a blinded run-in (week 1), in phase I (weeks 2 to 3), we randomized 2:1 to unblinded versus blinded tracking. Unblinding allowed continuous access to activity data through a smartphone interface. In phase II (weeks 4 to 5), we randomized unblinded participants 1:1 to smart texts versus no texts. Smart texts provided smartphone-delivered coaching 3 times/day aimed at individual encouragement and fostering feedback loops by a fully automated, physician-written, theory-based algorithm using real-time activity data and 16 personal factors with a 10 000 steps/day goal. Forty-eight outpatients (46% women, 21% nonwhite) enrolled with a mean±SD age of 58±8 years, body mass index of 31±6 kg/m(2), and baseline activity of 9670±4350 steps/day. Daily activity data capture was 97.4%. The phase I change in activity was nonsignificantly higher in unblinded participants versus blinded controls by 1024 daily steps (95% confidence interval [CI], -580 to 2628; P=0.21). In phase II, participants receiving texts increased their daily steps over those not receiving texts by 2534 (95% CI, 1318 to 3750; P<0.001) and over blinded controls by 3376 (95% CI, 1951 to 4801; P<0.001).

conclusionsAn automated tracking-texting intervention increased physical activity with, but not without, the texting component. These results support new mHealth tracking technologies as facilitators in need of behavior change drivers. CLINICAL

trial registrationURL: http://ClinicalTrials.gov/. Unique identifier: NCT01917812.

Indexed as

Cell PhoneExerciseHealth PromotionMobile ApplicationsMotor ActivityText MessagingActigraphyAdolescentAdultAgedAlgorithmsAutomationBaltimoreCardiovascular DiseasesCounselingFemaleaccelerometeractivity trackerautomationcardiovascular diseasedigital healtheHealthhealth technologymHealthmobile phonepedometerphysical activitypreventionsmartphonetextingtext messageswearable devicewearable sensor

Identifiers

PMID26553211
PMCPMC4845232

What OpenQuestion holds

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LicenceCC BY-NC
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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.