Evidence map›Paper›PMID 31556659›Full record

ArticleHealth psychology : official journal of the Division of Health Psychology, American Psychological Association2019

Associations between self-monitoring and weight change in behavioral weight loss interventions.

Stephanie P Goldstein, Carly M Goldstein, Dale S Bond, Hollie A Raynor, Rena R Wing, J Graham Thomas

Registry-linked trialAbstract read
In one paragraph

Article in Health psychology : official journal of the Division of Health Psychology, American Psychological Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05866107 (Effectiveness and Feasibility of Self-Monitoring for Weight Management in Individuals With Mental Disorders Using Digital Intervention), which is not on this map. Cited by 43 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 5 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.

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

43 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Enhancing Postsecondary Students' Dietary Behaviours: A Systematic Review of Mobile Health Interventions.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025
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  11. Do routinized eating behaviors support weight loss? An examination of food logs from behavioral weight loss participants.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2026
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  12. Adherence to Behavioral Weight Management: A Scoping Review of Definitions, Measurement, and Components.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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  16. Weight loss following nutritional education session among newly diagnosed breast cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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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

6 authors.

Stephanie P GoldsteinDepartment of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University.
Carly M GoldsteinDepartment of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University.
Dale S BondDepartment of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University.
Hollie A RaynorDepartment of Nutrition, University of Tennessee, Knoxville.ORCID 0000-0002-3782-9504
Rena R WingDepartment of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University.
J Graham ThomasDepartment of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University.

Funding

LIVE SMART: Smartphone Intervention for Weight ControlR01DK095779 · NIDDK · MIRIAM HOSPITAL · PI THOMAS, JOHN GRAHAM · 2012 to 2015
$2.2M
Optimization and Evaluation of a Tailored Behavioral eHealth/mHealth Weight Loss Intervention for Cardiac Rehabilitation Patients Using the Multiphase Optimization StrategyK23HL136845 · NHLBI · MIRIAM HOSPITAL · PI GOLDSTEIN, CARLY MICHELLE · 2018 to 2022
$930k
Applying Novel Passive Sensing Technology to Target Adherence to Diet in Behavioral Obesity Treatment for Patients with Cardiovascular Disease RiskF32HL143954 · NHLBI · MIRIAM HOSPITAL · PI GOLDSTEIN, STEPHANIE PAIGE · 2018 to 2019
$119k
NHLBI NIH HHS F32 HL143954NHLBI NIH HHS K23 HL136845NIDDK NIH HHS R01 DK095779
6 · The paper itself

Abstract

objectiveThe current study is a secondary analysis of the Live SMART trial, a randomized controlled trial comparing a behavioral weight loss (BWL) condition delivered via smartphone (SMART) to a group-based BWL condition (GROUP) and a control condition (CONTROL). Given the established importance of self-monitoring for weight loss, the aims were to evaluate bidirectional associations between adherence to self-monitoring and weight change and to examine the moderating effect of treatment condition on these associations.

methodAdults with overweight/obesity (n = 276; 83% women; 92.8% White; Mage = 55.1 years; Mbody mass index = 35.2 kg/m2) were instructed to self-monitor dietary intake, daily weight, and physical activity minutes via paper diaries in GROUP and CONTROL and via a smartphone application in SMART. All participants were weighed monthly at the research center. Adherence to self-monitoring was assessed via examination of self-monitoring records.

resultsGeneralized linear mixed models revealed that adherence to self-monitoring of dietary intake, self-weighing, and physical activity for each month was associated with weight change throughout that month, such that increased frequency of self-monitoring led to greater weight loss (ps < .001). For the GROUP condition only, poorer weight losses in 1 month were prospectively associated with poor adherence to self-monitoring the following month (ps ≤ .01).

conclusionsResults provide evidence of a bidirectional association between self-monitoring and weight change. Better self-monitoring was consistently associated with better weight loss across intervention and tracking modalities. Poorer weight loss was prospectively associated with poorer self-monitoring in group treatment, suggesting that social influences could drive adherence in this form of treatment. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Indexed as

Behavior TherapyExerciseFemaleHumansMaleMiddle AgedSmartphoneWeight Loss

Identifiers

PMID31556659
PMCPMC6861632

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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.