Evidence map›Paper›PMID 27783259›Full record

ReviewJournal of behavioral medicine2017

Technology-based interventions for weight management: current randomized controlled trial evidence and future directions.

Andrea T Kozak, Joanna Buscemi, Misty A W Hawkins, Monica L Wang, Jessica Y Breland, Kathryn M Ross, Anupama Kommu

Registry-linked trialAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of behavioral medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05394779 (Evaluation of Performance and Safety of DTXO App, an Innovative Digital Therapy, in Improving Weight Loss and Weight-Loss Maintenance of Patients With Obesity by Increasing Their Adherence to Dietary, Exercise Regimens and Psycho-Behavioral Program), which is not on this map. Cited by 49 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 6 pooled it
18.6field-weighted citation impact, top 1% 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.

NCT05394779 nacompletednot on this mapstarted 2022, after this paper: background citation

Evaluation of Performance and Safety of DTXO App, an Innovative Digital Therapy, in Improving Weight Loss and Weight-Loss Maintenance of Patients With Obesity by Increasing Their Adherence to Dietary, Exercise Regimens and Psycho-Behavioral Program

TypeinterventionalSponsorAdvice Pharma Group srlRan2022 to 2024Enrolled246ConditionsObesity, Health Behavior, Life Style, Dietary HabitsArmsDTXO APP, PLACEBO APP - Control group
3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 6 syntheses or guidelines pooled it, 96 citations in OpenAlex.

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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

7 authors at 6 institutions in 1 country.

Andrea T KozakDepartment of Psychology, Oakland University, Rochester, MI, 48309, USA. kozak@oakland.edu.
Joanna BuscemiDepartment of Psychology, DePaul University, Chicago, IL, USA.
Misty A W HawkinsDepartment of Psychology, Oklahoma State University, Stillwater, OK, USA.
Monica L WangDepartment of Community Health Sciences, Boston University, Boston, MA, USA.
Jessica Y BrelandCenter for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, CA, USA.
Kathryn M RossDepartment of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA.
Anupama KommuMind Body Connection, Inc., Manassas, VA, USA.
Boston University · USDePaul University · USOakland University · USOklahoma State University · USUniversity of Florida Health · USVA Palo Alto Health Care System · US

Funding

Tracking and Evaluation CoreU54GM104938 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI TIMOTHY M VANWAGONER · 2013 to 2026
$68.2M
A culturally-tailored narrative intervention to target disparities in obesityK01DK102447 · NIDDK · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WANG, MONICA L. · 2014 to 2018
$631k
NIDDK NIH HHS K01 DK102447NIGMS NIH HHS U54 GM104938
6 · The paper itself

Abstract

Obesity is a prevalent health care issue associated with disability, premature morality, and high costs. Behavioral weight management interventions lead to clinically significant weight losses in overweight and obese individuals; however, many individuals are not able to participate in these face-to-face treatments due to limited access, cost, and/or time constraints. Technological advances such as widespread access to the Internet, increased use of smartphones, and newer behavioral self-monitoring tools have resulted in the development of a variety of eHealth weight management programs. In the present paper, a summary of the most current literature is provided along with potential solutions to methodological challenges (e.g., high attrition, minimal participant racial/ethnic diversity, heterogeneity of technology delivery modes). Dissemination and policy implications will be highlighted as future directions for the field of eHealth weight management.

Indexed as

Behavior TherapyEvidence-Based MedicineHealth PromotionHumansInternetObesityRandomized Controlled Trials as TopicTelemedicineWeight LossDisseminationeHealthRandomized controlled trialsRecommendationsReviewTechnology-based weight management

Identifiers

PMID27783259
PMCPMC5988351
OpenAlexW2539310944

What OpenQuestion holds

Textmetadata
LicenceTDM
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.