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Disparity Indices and Overweight: Frame of Reference
Purpose: The purpose of this study was to compare state rankings of body mass index (BMI) among three different indices of income disparities (i.e., low-, middle-, and high-income thresholds) and BMI. One measure of disparities was based on national standards and the other measure was based on state...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mary Ann Liebert, Inc., publishers
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6918515/ https://www.ncbi.nlm.nih.gov/pubmed/31872166 http://dx.doi.org/10.1089/heq.2019.0064 |
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author | Taylor, Wendell C. Durand, Casey P. Knell, Gregory |
author_facet | Taylor, Wendell C. Durand, Casey P. Knell, Gregory |
author_sort | Taylor, Wendell C. |
collection | PubMed |
description | Purpose: The purpose of this study was to compare state rankings of body mass index (BMI) among three different indices of income disparities (i.e., low-, middle-, and high-income thresholds) and BMI. One measure of disparities was based on national standards and the other measure was based on state-specific data. Methods: Data were from the 2016 Behavioral Risk Factor Surveillance System and analyzed in 2018. To assess differences between the two indices, Spearman Rank Order Correlation coefficient with a Bonferroni adjustment and kappa statistic were used. Results: Spearman rank-order correlation coefficient with a Bonferroni adjustment found that the two indices had a very weak monotonic relationship (ρ=0.11, p=0.46). The kappa value [κ (df=48)=0.02, p-value=0.43] revealed the indices were not concordant. The rankings of states based on national and state-specific disparity indices were distinctly different. Conclusion: Our study highlights the importance of choosing disparity indices. To analyze state similarities and differences, findings and interpretations are different when using a national standard applied to all states versus state-specific data as the frame of reference for the disparity index. Future research is needed to confirm the generalizability of our findings. In addition to income, our approach can be used with other sociodemographic variables such as age, race/ethnicity, sex, and education. The overall goal is to present a comprehensive and nuanced perspective of disparities contributing to the overweight/obesity epidemic. |
format | Online Article Text |
id | pubmed-6918515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Mary Ann Liebert, Inc., publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-69185152019-12-23 Disparity Indices and Overweight: Frame of Reference Taylor, Wendell C. Durand, Casey P. Knell, Gregory Health Equity Original Research Purpose: The purpose of this study was to compare state rankings of body mass index (BMI) among three different indices of income disparities (i.e., low-, middle-, and high-income thresholds) and BMI. One measure of disparities was based on national standards and the other measure was based on state-specific data. Methods: Data were from the 2016 Behavioral Risk Factor Surveillance System and analyzed in 2018. To assess differences between the two indices, Spearman Rank Order Correlation coefficient with a Bonferroni adjustment and kappa statistic were used. Results: Spearman rank-order correlation coefficient with a Bonferroni adjustment found that the two indices had a very weak monotonic relationship (ρ=0.11, p=0.46). The kappa value [κ (df=48)=0.02, p-value=0.43] revealed the indices were not concordant. The rankings of states based on national and state-specific disparity indices were distinctly different. Conclusion: Our study highlights the importance of choosing disparity indices. To analyze state similarities and differences, findings and interpretations are different when using a national standard applied to all states versus state-specific data as the frame of reference for the disparity index. Future research is needed to confirm the generalizability of our findings. In addition to income, our approach can be used with other sociodemographic variables such as age, race/ethnicity, sex, and education. The overall goal is to present a comprehensive and nuanced perspective of disparities contributing to the overweight/obesity epidemic. Mary Ann Liebert, Inc., publishers 2019-12-13 /pmc/articles/PMC6918515/ /pubmed/31872166 http://dx.doi.org/10.1089/heq.2019.0064 Text en © Wendell C. Taylor et al. 2019; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Taylor, Wendell C. Durand, Casey P. Knell, Gregory Disparity Indices and Overweight: Frame of Reference |
title | Disparity Indices and Overweight: Frame of Reference |
title_full | Disparity Indices and Overweight: Frame of Reference |
title_fullStr | Disparity Indices and Overweight: Frame of Reference |
title_full_unstemmed | Disparity Indices and Overweight: Frame of Reference |
title_short | Disparity Indices and Overweight: Frame of Reference |
title_sort | disparity indices and overweight: frame of reference |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6918515/ https://www.ncbi.nlm.nih.gov/pubmed/31872166 http://dx.doi.org/10.1089/heq.2019.0064 |
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