Cargando…

Validation of self-reported weights and heights in the avoiding diabetes after pregnancy trial (ADAPT)

BACKGROUND: Randomized controlled trials that test the effectiveness of mobile health-based weight loss programs are attractive to participants, funders, and researchers because of the low implementation cost, minimal participant burden, and the ability to recruit participants from longer distances....

Descripción completa

Detalles Bibliográficos
Autores principales: Paez, Kathryn A, Griffey, Susan J, Thompson, Jennifer, Gillman, Matthew W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4024012/
https://www.ncbi.nlm.nih.gov/pubmed/24886128
http://dx.doi.org/10.1186/1471-2288-14-65
_version_ 1782316607063719936
author Paez, Kathryn A
Griffey, Susan J
Thompson, Jennifer
Gillman, Matthew W
author_facet Paez, Kathryn A
Griffey, Susan J
Thompson, Jennifer
Gillman, Matthew W
author_sort Paez, Kathryn A
collection PubMed
description BACKGROUND: Randomized controlled trials that test the effectiveness of mobile health-based weight loss programs are attractive to participants, funders, and researchers because of the low implementation cost, minimal participant burden, and the ability to recruit participants from longer distances. Collecting weight data from geographically dispersed participants is a challenge. Relying on participant self-report is one approach to data collection, but epidemiologic studies indicate that self-reported anthropometric data may be inaccurate. METHODS: We provided women enrolled in a randomized controlled trial (RCT) of postpartum weight loss after gestational diabetes with a digital scale and training to collect and report weight via a web-based survey. To validate self-reported weights and heights, we visited 30 randomly selected women in their homes, with a reference scale and stadiometer, a mean of 34 days after the self-report. We ran linear regression models to identify characteristics that were associated with underreporting or overreporting of anthropometric measures. RESULTS: Of the 30 women we visited, 11 women (37%) were assigned to the weight loss intervention group and 19 women (63%) were in the control group. Mean age was 38.5 years (SD 4.5). The overall mean difference between participants’ self-reported weights and the weights obtained at their home visit was 0.70 kg (+1.92). Women assigned to the intervention group underreported their weight in comparison with the control group by 1.29 kg (95% CI −2.52, −0.06). The overall difference in collected to self-reported height was −0.56 cm (±1.91). No characteristics were associated with underreporting or overreporting of height. CONCLUSIONS: Our research suggests that by providing a digital scale and developing a weight collection protocol, researchers can train women to collect and record their own study weights with reasonable validity. To achieve the level of validity required for clinical trials, researchers should consider additional strategies to assure the validity of the data. TRIAL REGISTRATION: NCT01923350.
format Online
Article
Text
id pubmed-4024012
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-40240122014-05-17 Validation of self-reported weights and heights in the avoiding diabetes after pregnancy trial (ADAPT) Paez, Kathryn A Griffey, Susan J Thompson, Jennifer Gillman, Matthew W BMC Med Res Methodol Research Article BACKGROUND: Randomized controlled trials that test the effectiveness of mobile health-based weight loss programs are attractive to participants, funders, and researchers because of the low implementation cost, minimal participant burden, and the ability to recruit participants from longer distances. Collecting weight data from geographically dispersed participants is a challenge. Relying on participant self-report is one approach to data collection, but epidemiologic studies indicate that self-reported anthropometric data may be inaccurate. METHODS: We provided women enrolled in a randomized controlled trial (RCT) of postpartum weight loss after gestational diabetes with a digital scale and training to collect and report weight via a web-based survey. To validate self-reported weights and heights, we visited 30 randomly selected women in their homes, with a reference scale and stadiometer, a mean of 34 days after the self-report. We ran linear regression models to identify characteristics that were associated with underreporting or overreporting of anthropometric measures. RESULTS: Of the 30 women we visited, 11 women (37%) were assigned to the weight loss intervention group and 19 women (63%) were in the control group. Mean age was 38.5 years (SD 4.5). The overall mean difference between participants’ self-reported weights and the weights obtained at their home visit was 0.70 kg (+1.92). Women assigned to the intervention group underreported their weight in comparison with the control group by 1.29 kg (95% CI −2.52, −0.06). The overall difference in collected to self-reported height was −0.56 cm (±1.91). No characteristics were associated with underreporting or overreporting of height. CONCLUSIONS: Our research suggests that by providing a digital scale and developing a weight collection protocol, researchers can train women to collect and record their own study weights with reasonable validity. To achieve the level of validity required for clinical trials, researchers should consider additional strategies to assure the validity of the data. TRIAL REGISTRATION: NCT01923350. BioMed Central 2014-05-13 /pmc/articles/PMC4024012/ /pubmed/24886128 http://dx.doi.org/10.1186/1471-2288-14-65 Text en Copyright © 2014 Paez et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Paez, Kathryn A
Griffey, Susan J
Thompson, Jennifer
Gillman, Matthew W
Validation of self-reported weights and heights in the avoiding diabetes after pregnancy trial (ADAPT)
title Validation of self-reported weights and heights in the avoiding diabetes after pregnancy trial (ADAPT)
title_full Validation of self-reported weights and heights in the avoiding diabetes after pregnancy trial (ADAPT)
title_fullStr Validation of self-reported weights and heights in the avoiding diabetes after pregnancy trial (ADAPT)
title_full_unstemmed Validation of self-reported weights and heights in the avoiding diabetes after pregnancy trial (ADAPT)
title_short Validation of self-reported weights and heights in the avoiding diabetes after pregnancy trial (ADAPT)
title_sort validation of self-reported weights and heights in the avoiding diabetes after pregnancy trial (adapt)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4024012/
https://www.ncbi.nlm.nih.gov/pubmed/24886128
http://dx.doi.org/10.1186/1471-2288-14-65
work_keys_str_mv AT paezkathryna validationofselfreportedweightsandheightsintheavoidingdiabetesafterpregnancytrialadapt
AT griffeysusanj validationofselfreportedweightsandheightsintheavoidingdiabetesafterpregnancytrialadapt
AT thompsonjennifer validationofselfreportedweightsandheightsintheavoidingdiabetesafterpregnancytrialadapt
AT gillmanmattheww validationofselfreportedweightsandheightsintheavoidingdiabetesafterpregnancytrialadapt