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Differences in body mass index based on self‐reported versus measured data from women veterans
OBJECTIVE: The objective was to compare differences in body mass index (BMI) calculated with self‐reported versus clinically measured pre‐conception data from women veterans in California. METHODS: Veterans Health Administration (VHA) and California state birth certificate data were used to develop...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448139/ https://www.ncbi.nlm.nih.gov/pubmed/32874677 http://dx.doi.org/10.1002/osp4.421 |
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author | Breland, Jessica Y. Joyce, Vilija R. Frayne, Susan M. Phibbs, Ciaran |
author_facet | Breland, Jessica Y. Joyce, Vilija R. Frayne, Susan M. Phibbs, Ciaran |
author_sort | Breland, Jessica Y. |
collection | PubMed |
description | OBJECTIVE: The objective was to compare differences in body mass index (BMI) calculated with self‐reported versus clinically measured pre‐conception data from women veterans in California. METHODS: Veterans Health Administration (VHA) and California state birth certificate data were used to develop a cohort of women who gave birth from 2007–2012 and had VHA data available to calculate BMI (N = 1,326 mothers, 1,473 births). Weighted Kappa statistics assessed concordance between self‐reported and measured BMI. A linear mixed‐effects model with maximum likelihood estimation, adjusted for mother as a random effect, assessed correlates of differences in BMI. RESULTS: Mean BMI was in the overweight range based on self‐reported (26.2 kg/m(2), SD: 5.2) and measured (26.8 kg/m(2), SD: 5.2) data. Weighted Kappa statistics indicated good agreement between self‐reported and measured BMI (0.73, 95% CI: 0.70, 0.76). Compared to the normal weight group, groups with overweight or obesity were significantly more likely to have lower BMIs when calculated using self‐reported versus measured heights and weights, in unadjusted and adjusted models. The finding was pronounced for class 3 obesity, which was associated with a BMI underestimation of 6.4 kg/m(2). CONCLUSIONS: Epidemiologic research that guides the clinical care of pregnant women should account for potential under‐estimation of BMI in heavier women, and perform direct measurement where feasible. |
format | Online Article Text |
id | pubmed-7448139 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74481392020-08-31 Differences in body mass index based on self‐reported versus measured data from women veterans Breland, Jessica Y. Joyce, Vilija R. Frayne, Susan M. Phibbs, Ciaran Obes Sci Pract Short Communications OBJECTIVE: The objective was to compare differences in body mass index (BMI) calculated with self‐reported versus clinically measured pre‐conception data from women veterans in California. METHODS: Veterans Health Administration (VHA) and California state birth certificate data were used to develop a cohort of women who gave birth from 2007–2012 and had VHA data available to calculate BMI (N = 1,326 mothers, 1,473 births). Weighted Kappa statistics assessed concordance between self‐reported and measured BMI. A linear mixed‐effects model with maximum likelihood estimation, adjusted for mother as a random effect, assessed correlates of differences in BMI. RESULTS: Mean BMI was in the overweight range based on self‐reported (26.2 kg/m(2), SD: 5.2) and measured (26.8 kg/m(2), SD: 5.2) data. Weighted Kappa statistics indicated good agreement between self‐reported and measured BMI (0.73, 95% CI: 0.70, 0.76). Compared to the normal weight group, groups with overweight or obesity were significantly more likely to have lower BMIs when calculated using self‐reported versus measured heights and weights, in unadjusted and adjusted models. The finding was pronounced for class 3 obesity, which was associated with a BMI underestimation of 6.4 kg/m(2). CONCLUSIONS: Epidemiologic research that guides the clinical care of pregnant women should account for potential under‐estimation of BMI in heavier women, and perform direct measurement where feasible. John Wiley and Sons Inc. 2020-06-08 /pmc/articles/PMC7448139/ /pubmed/32874677 http://dx.doi.org/10.1002/osp4.421 Text en Published 2020. This article is a U.S. Government work and is in the public domain in the USA. Obesity Science & Practice published by World Obesity and The Obesity Society and John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Short Communications Breland, Jessica Y. Joyce, Vilija R. Frayne, Susan M. Phibbs, Ciaran Differences in body mass index based on self‐reported versus measured data from women veterans |
title | Differences in body mass index based on self‐reported versus measured data from women veterans |
title_full | Differences in body mass index based on self‐reported versus measured data from women veterans |
title_fullStr | Differences in body mass index based on self‐reported versus measured data from women veterans |
title_full_unstemmed | Differences in body mass index based on self‐reported versus measured data from women veterans |
title_short | Differences in body mass index based on self‐reported versus measured data from women veterans |
title_sort | differences in body mass index based on self‐reported versus measured data from women veterans |
topic | Short Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448139/ https://www.ncbi.nlm.nih.gov/pubmed/32874677 http://dx.doi.org/10.1002/osp4.421 |
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