Accuracy of self-reported weight collected through a web-based platform in a weight loss trial: Validation study of the POEMAS clinical trial

Alline M. Beleigoli, Andre Q. Andrade, Maria de Fátima H. Diniz, Roberta S. Alvares, Marina H. Ferreira, Leticia A. Silva, Marcia C. Rodrigues, Luma Jacomassi, Amanda G. Cerqueira, Antonio L. Ribeiro

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)
66 Downloads (Pure)

Abstract

Self-reported anthropometric data in web-based weight loss interventions may be inaccurate. We studied the agreement between online self-reported and measured weight in the course of the POEmaS randomized controlled trial. Measured weight was not different from reported one (- 0.4 kg; 95%CI -0.93 to 0.12). 95.6% of the cases were within the limits of agreement (Bland-Altman method). Self-reported weight collected online was accurate, which suggests that interventions and outcomes assessment can rely on these data.

Original languageEnglish
Title of host publicationMEDINFO 2019
Subtitle of host publicationHealth and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics
EditorsLucila Ohno-Machado, Brigitte Seroussi
PublisherIOS Press
Pages1637-1638
Number of pages2
Volume264
Edition1
ISBN (Electronic)978-1-64368-003-3
ISBN (Print) 978-1-64368-002-6
DOIs
Publication statusPublished - 21 Aug 2019
Event17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France
Duration: 25 Aug 201930 Aug 2019

Publication series

NameStudies in Health Technology and Informatics
Volume264
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference17th World Congress on Medical and Health Informatics, MEDINFO 2019
Country/TerritoryFrance
CityLyon
Period25/08/1930/08/19

Bibliographical note

'This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).'

Keywords

  • Body weight
  • Data accuracy
  • Ehealth

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