Evidence map›Paper›PMID 38264006›Full record

ArticleObesity science & practice2024

Characterising individual variability in associations between self-monitoring and weight change during and after a behavioral weight management program.

Kelsey M Arroyo, Kathryn M Ross

Abstract read
In one paragraph

Article in Obesity science & practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
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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

2 authors.

Kelsey M ArroyoDepartment of Clinical & Health Psychology College of Public Health and Health Professions University of Florida Gainesville Florida USA.ORCID https://orcid.org/0000-0002-5571-7960
Kathryn M RossDepartment of Clinical & Health Psychology College of Public Health and Health Professions University of Florida Gainesville Florida USA.ORCID https://orcid.org/0000-0002-3628-766X

Funding

Identification and Prediction of High-Risk Periods for Regain After Weight LossR21DK109205 · NIDDK · UNIVERSITY OF FLORIDA · PI ROSS, KATHRYN MARIE · 2016 to 2017
$335k
Impact of Self-Monitoring Technology and Interventionist Contact on Weight LossF32DK100069 · NIDDK · MIRIAM HOSPITAL · PI ROSS, KATHRYN MARIE · 2013 to 2014
$98k
NIDDK NIH HHS F32 DK100069NIDDK NIH HHS R21 DK109205
6 · The paper itself

Abstract

Objective: Greater self-monitoring of caloric intake and weight has been associated with success at both initial weight loss and long-term maintenance. Given the existence of wide variability in weight loss outcomes and the key role of self-monitoring within behavioral weight management interventions, this study examined individual variability in associations between self-monitoring and weight change and whether demographic factors could predict who may best benefit from self-monitoring. Methods: Participants were 72 adults with overweight or obesity (mean ± SD, age = 50.6 ± 10.3; body mass index = 31.2 ± 4.5 kg/m Results: Most participants (68%) demonstrated statistically significant negative associations between self-monitoring of either caloric intake or weight and weight change. Of these, 76% benefited from self-monitoring both caloric intake and weight, 18% from self-monitoring caloric intake only, and 6% from self-weighing only. The magnitude of associations between self-monitoring and weight change did not significantly differ by age, gender, race/ethnicity, education, or income, all Conclusions: Differences in the effectiveness of self-monitoring for weight loss were not observed by demographic characteristics. Future research should examine if other factors may predict the effectiveness of self-monitoring.

Indexed as

behavior therapyclinical practiceobesityself‐monitoring

Identifiers

PMID38264006
PMCPMC10804320

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LicenceCC BY-NC-ND
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Registered trials

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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.