Evidence map›Paper›PMID 21882997›Full record

Trial reportTelemedicine journal and e-health : the official journal of the American Telemedicine Association2011

The accuracy of weight reported in a web-based obesity treatment program.

Jean Harvey-Berino, Rebecca A Krukowski, Paul Buzzell, Doris Ogden, Joan Skelly, Delia S West

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Telemedicine journal and e-health : the official journal of the American Telemedicine Association, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

  1. Pooled it
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  7. Mobile health messages help sustain recent weight loss.The American journal of medicine · 2013
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  13. Telehealth and Nutrition Support During the COVID-19 Pandemic.Journal of the Academy of Nutrition and Dietetics · 2020
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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.

Jean Harvey-BerinoDepartment of Nutrition and Food Sciences, University of Vermont, Burlington, Vermont 05405, USA. jharvey@uvm.edu
Rebecca A Krukowski
Paul Buzzell
Doris Ogden
Joan Skelly
Delia S 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 R01 DK056746
6 · The paper itself

Abstract

objectiveThe overall goal of the study was to understand the accuracy of self-reported weight over a 6-month Web-based obesity program. MATERIALS AND

methodsAs part of a larger study, subjects (n=323; 93% female; 28% African American) were randomized to a 6-month Internet-based behavioral weight loss program with weekly group meetings delivered either: (1) entirely by online synchronous chats or (2) by a combination of online chats plus monthly in-person group sessions. Observed weights were obtained at 0 and 6 months for all participants. Self-reported weights were submitted weekly to the study Web site. Differences in Observed and Reported weights were examined by gender, race, and condition.

resultsObserved and Reported weight were significantly correlated at 0 and 6 months (r=0.996 and 0.996, ps <0.001 respectively). However, Reported weight underestimated Observed weight by 0.86 kg (p<0.001) at 6 months. Further, there was a significant weight loss effect (p<0.001) with those losing more weight more accurately estimating their Reported weight at 6 months. Additionally, 6-month Reported weight change differed from Observed weight change (difference=0.72 kg, p<0.001), with weight change using Reported weights estimating a slightly larger weight loss than Observed weights.

conclusionsIn general, the accuracy of self-reported weight is high for individuals participating in an Internet-based weight loss treatment program. Accuracy differed slightly by amount of weight lost and was not improved with periodic in-person assessment. Importantly, weight change by self-report was comparable to observed, suggesting that it is suitable for Web-based obesity treatment.

Indexed as

Body WeightInternetSelf ReportBody Mass IndexFemaleHumansMaleObesitySex FactorsSocioeconomic FactorsWeight LossWeight Reduction Programs

Identifiers

PMID21882997
PMCPMC3241925

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.