Evidence map›Paper›PMID 26530929›Full record

Trial reportObesity (Silver Spring, Md.)2015

Cell phone intervention for you (CITY): A randomized, controlled trial of behavioral weight loss intervention for young adults using mobile technology.

Laura P Svetkey, Bryan C Batch, Pao-Hwa Lin, Stephen S Intille, Leonor Corsino, Crystal C Tyson, Hayden B Bosworth, Steven C Grambow, Corrine Voils, Catherine Loria and 4 more

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

Trial report in Obesity (Silver Spring, Md.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 3 registered trials, which are not on this map. Cited by 90 papers, 22 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 22 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.

NCT01092364 nacompletednot on this map

Cell Phone Intervention in Young Adults

TypeinterventionalSponsorDuke UniversityRan2010 to 2014Enrolled365ConditionsObesityArmsBehavioral weight loss intervention
NCT02847078 naterminatednot on this mapstarted 2016, after this paper: background citation

Effects of a Smart Phone Application in the Secondary Clinical Prevention Management for Chinese Patients After Coronary Intervention Treatment: a Randomized Controlled Trial

TypeinterventionalSponsorFirst Affiliated Hospital Xi'an Jiaotong UniversityRan2016 to 2017Enrolled86ConditionsCoronary DiseaseArmssmart phone app, A guideline booklet
NCT02955017 nacompletednot on this mapstarted 2016, after this paper: background citation

Use of New Technologies for the Follow-up in Adolescent Obesity

TypeinterventionalSponsorAssistance Publique - Hôpitaux de ParisRan2016 to 2019Enrolled91ConditionsObesityArmstraditional follow_up, distance follow-up "new technologies"
3 · Its place in the literature

Who cites it

90 citing papers in PubMed, 22 syntheses or guidelines pooled it.

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  7. A systematic review of inequalities in the uptake of, adherence to, and effectiveness of behavioral weight management interventions in adults.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022
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  16. The effectiveness of app-based mobile interventions on nutrition behaviours and nutrition-related health outcomes: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2019
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  19. Mobile App-Based Health Promotion Programs: A Systematic Review of the Literature.International journal of environmental research and public health · 2018
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30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Laura P SvetkeyDivision of Nephrology, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
Bryan C BatchDivision of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
Pao-Hwa LinDivision of Nephrology, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
Stephen S IntilleCollege of Computer and Information Science, Northeastern University, Boston, Massachusetts, USA.
Leonor CorsinoDivision of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
Crystal C TysonDivision of Nephrology, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
Hayden B BosworthDivision of General Internal Medicine, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
Steven C GrambowDepartment of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, North Carolina, USA.
Corrine VoilsDivision of General Internal Medicine, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
Catherine LoriaDivision of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
John A GallisDepartment of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, North Carolina, USA.
Jenifer SchwagerDivision of Nephrology, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
Gary G BennettDepartment of Psychology & Neuroscience, Duke University, Durham, North Carolina, USA.
Gary B BennettDepartment of Psychology & Neuroscience, Duke University, Durham, North Carolina, USA.

Funding

Cell phone Intervention Trail for Young Adults (CITY)U01HL096720 · NHLBI · DUKE UNIVERSITY · PI SVETKEY, LAURA P · 2009 to 2013
$5.1M
NHLBI NIH HHS U01 HL096720NHLBI NIH HHS U01HL096720
6 · The paper itself

Abstract

objectiveTo determine the effect on weight of two mobile technology-based (mHealth) behavioral weight loss interventions in young adults.

methodsRandomized, controlled comparative effectiveness trial in 18- to 35-year-olds with BMI ≥ 25 kg/m(2) (overweight/obese), with participants randomized to 24 months of mHealth intervention delivered by interactive smartphone application on a cell phone (CP); personal coaching enhanced by smartphone self-monitoring (PC); or Control.

resultsThe 365 randomized participants had mean baseline BMI of 35 kg/m(2) . Final weight was measured in 86% of participants. CP was not superior to Control at any measurement point. PC participants lost significantly more weight than Controls at 6 months (net effect -1.92 kg [CI -3.17, -0.67], P = 0.003), but not at 12 and 24 months.

conclusionsDespite high intervention engagement and study retention, the inclusion of behavioral principles and tools in both interventions, and weight loss in all treatment groups, CP did not lead to weight loss, and PC did not lead to sustained weight loss relative to Control. Although mHealth solutions offer broad dissemination and scalability, the CITY results sound a cautionary note concerning intervention delivery by mobile applications. Effective intervention may require the efficiency of mobile technology, the social support and human interaction of personal coaching, and an adaptive approach to intervention design.

Indexed as

Cell PhoneMobile ApplicationsAdolescentAdultBehavior TherapyBody WeightFemaleHumansMaleObesityOverweightSocial SupportTelemedicineWeight LossWeight Reduction ProgramsYoung Adult

Identifiers

PMID26530929
PMCPMC4636032

What OpenQuestion holds

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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.