Evidence map›Paper›PMID 30070045›Full record

Trial reportObesity (Silver Spring, Md.)2018

How Accurate are Recalls of Self-Weighing Frequency? Data from a 24-Month Randomized Trial.

Melissa M Crane, Kara Gavin, Julian Wolfson, Jennifer A Linde

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Obesity (Silver Spring, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Observational
  5. Article
  6. Article
  7. Observational
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  9. 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

4 authors.

Melissa M CraneDepartment of Preventive Medicine, Rush University Medical Center, Chicago, Illinois, USA.ORCID 0000-0002-1458-2692
Kara GavinDepartment of Preventive Medicine, Northwestern University Medical School, Chicago, Illinois, USA.
Julian WolfsonDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.
Jennifer A LindeDivision of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.

Funding

Minnesota Obesity Prevention Training (MnOPT)T32DK083250 · NIDDK · UNIVERSITY OF MINNESOTA · PI KOTZ, CATHERINE M, LASKA, MELISSA N. · 2010 to 2024
$5.1M
Cancer Prevention, Control, and Survivorship Research Training ProgramT32CA193193 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Brian L Hitsman, BETINA YANEZ · 2015 to 2026
$3.8M
Weight Tracking and Weight Loss Outcomes: Establishing the Standard of CareR01DK093586 · NIDDK · UNIVERSITY OF MINNESOTA · PI LINDE, JENNIFER A · 2012 to 2016
$2.5M
NCI NIH HHS T32 CA193193NIDDK NIH HHS R01 DK093586NIDDK NIH HHS T32 DK083250
6 · The paper itself

Abstract

introductionSelf-weighing is an important component of self-monitoring during weight loss. However, methods of measuring self-weighing frequency need to be validated. This analysis compared self-reported and objective weighing frequency.

methodsData came from a 24-month randomized controlled trial. Participants received 12 months of a behavioral weight-loss program and were randomly assigned to (1) daily self-weighing, (2) weekly weighing, or (3) no weighing (excluded from analysis). Objective weighing frequency was measured by Wi-Fi enabled scales, and self-reported weighing frequency was assessed every 6 months by questionnaire. Objective weights were categorized to match the scale of the self-report measure.

resultsAt 12 months, there was 80.8% agreement between self-reported and objective weighing frequency (weighted kappa = 0.67; P < 0.001). At 24 months, agreement decreased to 48.5% (kappa = 0.27; P < 0.001). At both time points in which disagreements occurred, self-reported frequencies were generally greater than objectively assessed weighing. Both self-reported and objectively assessed weighing frequency was associated with weight loss at 12 and 24 months (P < 0.001).

conclusionsSelf-reported weighing frequency is modestly correlated with objective weighing frequency; however, both are associated with weight change over time. Objective assessment of weighing frequency should be used to avoid overestimating actual frequency.

Indexed as

Diagnostic Self EvaluationObesityAdultBehavior TherapyBody Weights and MeasuresExerciseFeeding and Eating DisordersFemaleHumansMaleMental RecallMiddle AgedMonitoring, PhysiologicReproducibility of ResultsSelf ReportTime Factors

Identifiers

PMID30070045
PMCPMC6107396

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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.