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Prediction of Body Mass Index Using Concurrently Self-Reported or Previously Measured Height and Weight
OBJECTIVE: To compare alternative models for the imputation of BMI(M) (measured weight in kilograms/measured height in meters squared) in a longitudinal study. METHODS: We used data from 11,008 adults examined at wave III (2001–2002) and wave IV (2007–2008) in the National Longitudinal Study of Adol...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5127553/ https://www.ncbi.nlm.nih.gov/pubmed/27898706 http://dx.doi.org/10.1371/journal.pone.0167288 |
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author | Cui, Zhaohui Stevens, June Truesdale, Kimberly P. Zeng, Donglin French, Simone Gordon-Larsen, Penny |
author_facet | Cui, Zhaohui Stevens, June Truesdale, Kimberly P. Zeng, Donglin French, Simone Gordon-Larsen, Penny |
author_sort | Cui, Zhaohui |
collection | PubMed |
description | OBJECTIVE: To compare alternative models for the imputation of BMI(M) (measured weight in kilograms/measured height in meters squared) in a longitudinal study. METHODS: We used data from 11,008 adults examined at wave III (2001–2002) and wave IV (2007–2008) in the National Longitudinal Study of Adolescent to Adult Health. Participants were asked their height and weight before being measured. Equations to predict wave IV BMI(M) were developed in an 80% random subsample and evaluated in the remaining participants. The validity of models that included BMI constructed from previously measured height and weight (BMI(PM)) was compared to the validity of models that used BMI calculated from concurrently self-reported height and weight (BMI(SR)). The usefulness of including demographics and perceived weight category in those models was also examined. RESULTS: The model that used BMI(SR), compared to BMI(PM), as the only variable produced a larger R(2) (0.913 vs. 0.693), a smaller root mean square error (2.07 vs. 3.90 kg/m(2)) and a lower bias between normal-weight participants and those with obesity (0.98 vs. 4.24 kg/m(2)). The performance of the model containing BMI(SR) alone was not substantially improved by the addition of demographics, perceived weight category or BMI(PM). CONCLUSIONS: Our work is the first to show that concurrent self-reports of height and weight may be more useful than previously measured height and weight for imputation of missing BMI(M) when the time interval between measures is relatively long. Other time frames and alternatives to in-person collection of self-reported data need to be examined. |
format | Online Article Text |
id | pubmed-5127553 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-51275532016-12-15 Prediction of Body Mass Index Using Concurrently Self-Reported or Previously Measured Height and Weight Cui, Zhaohui Stevens, June Truesdale, Kimberly P. Zeng, Donglin French, Simone Gordon-Larsen, Penny PLoS One Research Article OBJECTIVE: To compare alternative models for the imputation of BMI(M) (measured weight in kilograms/measured height in meters squared) in a longitudinal study. METHODS: We used data from 11,008 adults examined at wave III (2001–2002) and wave IV (2007–2008) in the National Longitudinal Study of Adolescent to Adult Health. Participants were asked their height and weight before being measured. Equations to predict wave IV BMI(M) were developed in an 80% random subsample and evaluated in the remaining participants. The validity of models that included BMI constructed from previously measured height and weight (BMI(PM)) was compared to the validity of models that used BMI calculated from concurrently self-reported height and weight (BMI(SR)). The usefulness of including demographics and perceived weight category in those models was also examined. RESULTS: The model that used BMI(SR), compared to BMI(PM), as the only variable produced a larger R(2) (0.913 vs. 0.693), a smaller root mean square error (2.07 vs. 3.90 kg/m(2)) and a lower bias between normal-weight participants and those with obesity (0.98 vs. 4.24 kg/m(2)). The performance of the model containing BMI(SR) alone was not substantially improved by the addition of demographics, perceived weight category or BMI(PM). CONCLUSIONS: Our work is the first to show that concurrent self-reports of height and weight may be more useful than previously measured height and weight for imputation of missing BMI(M) when the time interval between measures is relatively long. Other time frames and alternatives to in-person collection of self-reported data need to be examined. Public Library of Science 2016-11-29 /pmc/articles/PMC5127553/ /pubmed/27898706 http://dx.doi.org/10.1371/journal.pone.0167288 Text en © 2016 Cui et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Cui, Zhaohui Stevens, June Truesdale, Kimberly P. Zeng, Donglin French, Simone Gordon-Larsen, Penny Prediction of Body Mass Index Using Concurrently Self-Reported or Previously Measured Height and Weight |
title | Prediction of Body Mass Index Using Concurrently Self-Reported or Previously Measured Height and Weight |
title_full | Prediction of Body Mass Index Using Concurrently Self-Reported or Previously Measured Height and Weight |
title_fullStr | Prediction of Body Mass Index Using Concurrently Self-Reported or Previously Measured Height and Weight |
title_full_unstemmed | Prediction of Body Mass Index Using Concurrently Self-Reported or Previously Measured Height and Weight |
title_short | Prediction of Body Mass Index Using Concurrently Self-Reported or Previously Measured Height and Weight |
title_sort | prediction of body mass index using concurrently self-reported or previously measured height and weight |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5127553/ https://www.ncbi.nlm.nih.gov/pubmed/27898706 http://dx.doi.org/10.1371/journal.pone.0167288 |
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