Evidence map›Paper›PMID 30891657›Full record

Trial reportJournal of behavioral medicine2019

Computerized neurocognitive training for improving dietary health and facilitating weight loss.

Evan M Forman, Stephanie M Manasse, Diane H Dallal, Rebecca J Crochiere, Caitlin M Loyka, Meghan L Butryn, Adrienne S Juarascio, Katrijn Houben

Registry-linked trialAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of behavioral medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04659837 (Reducing Cancer Risk by Training Response Inhibition to Obesogenic Foods), which is not on this map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 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.

NCT04659837 nacompletednot on this map

Reducing Cancer Risk by Training Response Inhibition to Obesogenic Foods

TypeinterventionalSponsorDrexel UniversityRan2016 to 2019Enrolled125ConditionsInhibitory Control Training, GameifactionArmsNo-Added-Sugar Diet
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline 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

8 authors.

Evan M FormanDrexel University, Philadelphia, USA. emf27@drexel.edu.
Stephanie M ManasseDrexel University, Philadelphia, USA.
Diane H DallalDrexel University, Philadelphia, USA.
Rebecca J CrochiereDrexel University, Philadelphia, USA.
Caitlin M LoykaDrexel University, Philadelphia, USA.
Meghan L ButrynDrexel University, Philadelphia, USA.
Adrienne S JuarascioDrexel University, Philadelphia, USA.
Katrijn HoubenMaastricht University, Maastricht, The Netherlands.

Funding

Addressing Weight History to Improve Behavioral Treatments for Bulimia NervosaK23MH105680 · NIMH · DREXEL UNIVERSITY · PI JUARASCIO, ADRIENNE SARAH · 2015 to 2018
$644k
Reducing Cancer Risk by Training Response Inhibition to Obesogenic FoodsR21CA191859 · NCI · DREXEL UNIVERSITY · PI FORMAN, EVAN M · 2015 to 2016
$359k
NCI NIH HHS R21 CA191859NCI NIH HHS R21CA191859NIMH NIH HHS K23 MH105680
6 · The paper itself

Abstract

Nearly 70% of Americans are overweight, in large part because of overconsumption of high-calorie foods such as sweets. Reducing sweets is difficult because powerful drives toward reward overwhelm inhibitory control (i.e., the ability to withhold a prepotent response) capacities. Computerized inhibitory control trainings (ICTs) have shown positive outcomes, but impact on real-world health behavior has been variable, potentially because of limitations inherent in existing paradigms, e.g., low in frequency, intrinsic enjoyment, personalization, and ability to adapt to increasing ability. The present study aimed to assess the feasibility, acceptability, and efficacy of a gamified and non-gamified, daily, personalized, and adaptive ICT designed to facilitate weight loss by targeting consumption of sweets. Participants (N = 106) were randomized to one of four conditions in a 2 (gamified vs. non-gamified) by 2 (ICT vs. sham) factorial design. Participants were prescribed a no-added-sugar diet and completed 42 daily, at-home trainings, followed by two weekly booster trainings. Results indicated that the ICTs were feasible and acceptable. Surprisingly, compliance to the 44 trainings was excellent (88.8%) and equivalent across both gamified and non-gamified conditions. As hypothesized, the impact of ICT on weight loss was moderated by implicit preference for sweet foods [F(1,95) = 6.17, p = .02] such that only those with higher-than-average implicit preference benefited (8-week weight losses for ICT were 3.1% vs. 2.2% for sham). A marginally significant effect was observed for gamification to reduce the impact of ICT. Implications of findings for continued development of ICTs to impact health behavior are discussed.

Indexed as

DietHealth BehaviorTherapy, Computer-AssistedWeight LossAdultFemaleHumansMaleMiddle AgedOverweightRewardTreatment OutcomeDietGamificationHealth behaviorInhibitory control trainingObesityWeight loss

Identifiers

PMID30891657
PMCPMC6752994

What OpenQuestion holds

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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.