Evidence map›Paper›PMID 33226348›Full record

ArticleJournal of medical Internet research2020

Importance of Multiple Reinforcing Comments and Areas for Change in Optimizing Dietary and Exercise Self-Monitoring Feedback in Behavioral Weight Loss Programs: Factorial Design.

Rebecca Krukowski, Hyeonju Kim, Melissa Stansbury, Qian Li, Saunak Sen, Gregory Farage, Delia West

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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.

Rebecca KrukowskiDepartment of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States.ORCID 0000-0001-9193-2783
Hyeonju KimDepartment of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States.ORCID 0000-0002-2368-4850
Melissa StansburyArnold School of Public Health, University of South Carolina, Columbia, SC, United States.ORCID 0000-0003-3842-4880
Qian LiDepartment of Psychology, University of Memphis, Memphis, Memphis, TN, United States.ORCID 0000-0002-6726-3660
Saunak SenDepartment of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States.ORCID 0000-0003-4519-6361
Gregory FarageDepartment of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States.ORCID 0000-0003-4268-9507
Delia WestArnold School of Public Health, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-4375-2785

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
Behavioral Weight Management for Pregnant and Postpartum Women in the MilitaryR01DK104872 · NIDDK · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI HARE, MARION · 2016 to 2020
$3.3M
Efficacy of two novel behavioral post-cessation weight gain interventionsR01DK107747 · NIDDK · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI DEREFINKO, KAREN J · 2016 to 2020
$3.3M
NIDDK NIH HHS R01 DK056746NIDDK NIH HHS R01 DK104872NIDDK NIH HHS R01 DK107747
6 · The paper itself

Abstract

backgroundIndividualized dietary and physical activity self-monitoring feedback is a core element of behavioral weight loss interventions and is associated with clinically significant weight loss. To our knowledge, no studies have evaluated individuals' perspectives on the composition of feedback messages or the effect of feedback composition on the motivation to self-monitor.

objectiveThis study aims to assess the perceptions of feedback emails as a function of the number of comments that reinforce healthy behavior and the number of areas for change (ie, behavioral changes that the individual might make to have an impact on weight) identified.

methodsEmailed feedback followed a factorial design with 2 factors (ie, reinforcing comments and areas for change), each with 3 levels (ie, 1, 4, or 8 comments). A total of 250 adults with overweight or obesity who were interested in weight loss were recruited from the Qualtrics research panel. Participants read 9 emails presented in a random order. For each email, respondents answered 8 questions about the likelihood to self-monitor in the future, motivation for behavioral change, and perceptions of the counselor and the email. A mixed effects ordinal logistic model was used to compute conditional odds ratios and predictive margins (ie, average predicted probability) on a 5-point Likert response scale to investigate the optimal combination level of the 2 factors.

resultsEmails with more reinforcing comments or areas for change were better received, with small incremental benefits for 8 reinforcing comments or areas for change versus 4 reinforcing comments or areas for change. Interactions indicated that the best combination for 3 of 8 outcomes assessed (ie, motivation to make behavioral changes, counselor's concern for their welfare, and the perception that the counselor likes them) was the email with 8 reinforcing comments and 4 areas for change. Emails with 4 reinforcing comments and 4 areas for change resulted in the highest average probability of individuals who reported being very likely to self-monitor in the future.

conclusionsThe study findings suggest how feedback might be optimized for efficacy. Future studies should explore whether the composition of feedback email affects actual self-monitoring performance.

Indexed as

AdolescentAdultAgedDietElectronic MailExerciseFeedbackFemaleHealth BehaviorHumansMaleMiddle AgedObesityWeight LossWeight Reduction ProgramsYoung Adultcompliancecounselordiet recordsfeedbackobesityoverweightweight loss

Identifiers

PMID33226348
PMCPMC7685695

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.