Evidence map›Paper›PMID 30816851›Full record

Trial reportJMIR mHealth and uHealth2019

Comparing Self-Monitoring Strategies for Weight Loss in a Smartphone App: Randomized Controlled Trial.

Michele L Patel, Christina M Hopkins, Taylor L Brooks, Gary G Bennett

2 registry-linked trialsOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 81 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 14 pooled it
32.4field-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.

NCT03254953 nacompletednot on this map

GoalTracker: Comparing Self-Monitoring Strategies for Weight Loss: Does Developing Mastery Before Tracking Diet Enhance Engagement?

TypeinterventionalSponsorDuke UniversityRan2017 to 2018Enrolled105ConditionsObesity, Overweight, Weight LossArmsself-monitoring of body weight, self-monitoring of diet, weekly personalized feedback + lessons + action plans
NCT05866107 narecruitingnot on this mapstarted 2023, after this paper: background citation

Effectiveness and Feasibility of Self-Monitoring for Weight Management in Individuals With Mental Disorders Using Digital Intervention ("SWIM" Trial)

TypeinterventionalSponsorCapital Medical UniversityRan2023 to 2025Enrolled204ConditionsSchizophrenia, Bipolar Disorder, Metabolic Syndrome, Overweight and ObesityArmsEffectiveness and Feasibility of Self-Monitoring for Weight Management in Individuals with Mental Disorders Using Digital Intervention ("SWIM" trial)
3 · Its place in the literature

Who cites it

81 citing papers in PubMed, 14 syntheses or guidelines pooled it, 139 citations in OpenAlex.

  1. Pooled it
  2. Associations Between the Use of Fitness and Diet Tracking Technology and Disordered Eating Behaviour: A Systematic Review.European eating disorders review : the journal of the Eating Disorders Association · 2025
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  20. An Evaluation of Alternative Technology-Supported Counseling Approaches to Promote Multiple Lifestyle Behavior Changes in Patients With Type 2 Diabetes and Chronic Kidney Disease.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2023
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21 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

4 authors at 1 institution in 1 country.

Michele L PatelDepartment of Psychology and Neuroscience, Duke University, Durham, NC, United States.ORCID 0000-0001-5307-4861
Christina M HopkinsDepartment of Psychology and Neuroscience, Duke University, Durham, NC, United States.ORCID 0000-0003-4660-6641
Taylor L BrooksDepartment of Psychology and Neuroscience, Duke University, Durham, NC, United States.ORCID 0000-0003-3102-9458
Gary G BennettDepartment of Psychology and Neuroscience, Duke University, Durham, NC, United States.ORCID 0000-0002-4740-9175
Duke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-monitoring of dietary intake is a valuable component of behavioral weight loss treatment; however, it declines quickly, thereby resulting in suboptimal treatment outcomes.

objectiveThis study aimed to examine a novel behavioral weight loss intervention that aims to attenuate the decline in dietary self-monitoring engagement.

methodsGoalTracker was an automated randomized controlled trial. Participants were adults with overweight or obesity (n=105; aged 21-65 years; body mass index, BMI, 25-45 kg/m

resultsAt baseline, participants (84/100 female) had a mean age (SD) of 42.7 (11.7) years and a BMI of 31.9 (SD 4.5) kg/m

conclusionsRegardless of the order in which diet is tracked, using tailored goals and a commercial mobile app can produce clinically significant weight loss. Stand-alone digital health treatments may be a viable option for those looking for a lower intensity approach.

trial registrationClinicalTrials.gov NCT03254953; https://clinicaltrials.gov/ct2/show/NCT03254953 (Archived by WebCite at http://www.webcitation.org/72PyQrFjn).

Indexed as

Weight LossAdultAgedFeeding BehaviorFemaleHumansMaleMiddle AgedMobile ApplicationsNorth CarolinaSelf-Managementcaloric restrictionmobile appmobile healthobesity, self-monitoringrandomized controlled trialtechnologytreatment adherence and complianceweight loss

Identifiers

PMID30816851
PMCPMC6416539
OpenAlexW2919682652

What OpenQuestion holds

Textmetadata
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.