Evidence map›Paper›PMID 22545978›Full record

Trial reportHealth psychology : official journal of the Division of Health Psychology, American Psychological Association2013

Patterns of success: online self-monitoring in a web-based behavioral weight control program.

Rebecca A Krukowski, Jean Harvey-Berino, Zoran Bursac, Taka Ashikaga, Delia Smith West

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Health psychology : official journal of the Division of Health Psychology, American Psychological Association, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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

  1. Identifying Social Media-Based Interactions That Help Adults to Adhere to Weight Loss Goals: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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  8. Self-relevant appeals to engage in self-monitoring of alcohol use: A microrandomized trial.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023
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4 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

5 authors.

Rebecca A KrukowskiFay W. Boozman College of Public Health, Department of Health Behavior and Health Education, University of Arkansas for Medical Sciences, Little Rock, AR, USA. RAKrukowski@uams.edu
Jean Harvey-Berino
Zoran Bursac
Taka Ashikaga
Delia Smith West

Funding

INTERNET SUPPORT FOR LONG-TERM WEIGHT MAINTENANCER01DK056746 · NIDDK · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI HARVEY, JEAN R, WEST, DELIA SMITH · 2000 to 2019
$10.6M
NIDDK NIH HHS DK056746NIDDK NIH HHS R01 DK056746
6 · The paper itself

Abstract

objectivesOnline weight control technologies could reduce barriers to treatment, including increased ease and convenience of self-monitoring. Self-monitoring consistently predicts outcomes in behavioral weight loss programs; however, little is known about patterns of self-monitoring associated with success.

methodThe current study examines 161 participants (92% women; 31% African American; mean body mass index = 35.7 ± 5.7) randomized to a 6-month online behavioral weight control program that offered weekly group "chat" sessions and online self-monitoring. Self-monitoring log-ins were continuously monitored electronically during treatment and examined in association with weight change and demographics. Weekend and weekday log-ins were examined separately and length of periods of continuous self-monitoring were examined.

resultsWe found that 91% of participants logged in to the self-monitoring webpage at least once. Over 6 months, these participants monitored on an average of 28% of weekdays and 17% of weekend days, with most log-ins earlier in the program. Women were less likely to log-in, and there were trends for greater self-monitoring by older participants. Race, education, and marital status were not significant predictors of self-monitoring. Both weekday and weekend log-ins were significant independent predictors of weight loss. Patterns of consistent self-monitoring emerged early for participants who went on to achieve greater than a 5% weight loss.

conclusionsPatterns of online self-monitoring were strongly associated with weight loss outcomes. These results suggest a specific focus on consistent self-monitoring early in a behavioral weight control program might be beneficial for achieving clinically significant weight losses.

Indexed as

InternetAdultAgedBehavior TherapyBody Mass IndexFemaleHumansMaleMiddle AgedObesityPatient ComplianceProgram EvaluationSelf CareTime FactorsTreatment OutcomeWeight Loss

Identifiers

PMID22545978
PMCPMC4993110

What OpenQuestion holds

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Registered trials

None linked

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.