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Skin Deep: Enhanced Variable May Help Explain Racial Disparities in Type 2 Diabetes and Prediabetes
INTRODUCTION: The study refined definitions of type 2 diabetes and prediabetes (Pre-/T2D) via its four-category outcome variable. Respondents were identified as Pre-/T2D on the basis of (a) doctor’s diagnosis only (i.e., managed Pre-/T2D); (b) biomarker only (i.e., undiagnosed Pre-/T2D); or (c) both...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Healthcare
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5544614/ https://www.ncbi.nlm.nih.gov/pubmed/28616807 http://dx.doi.org/10.1007/s13300-017-0278-z |
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author | Lo, Celia C. Lara, Joanna Cheng, Tyrone C. |
author_facet | Lo, Celia C. Lara, Joanna Cheng, Tyrone C. |
author_sort | Lo, Celia C. |
collection | PubMed |
description | INTRODUCTION: The study refined definitions of type 2 diabetes and prediabetes (Pre-/T2D) via its four-category outcome variable. Respondents were identified as Pre-/T2D on the basis of (a) doctor’s diagnosis only (i.e., managed Pre-/T2D); (b) biomarker only (i.e., undiagnosed Pre-/T2D); or (c) both diagnosis and biomarker (i.e., unmanaged Pre-/T2D). The reference was Pre-/T2D not indicated. We linked the outcome to social structural and social support factors, health care-related factors, mental disorder, and lifestyle variables, for each racial/ethnic group. METHODS: We used the 2011–2012 and 2013–2014 National Health and Nutrition Examination Surveys to measure the four-category outcome and examine race/ethnicity’s role in explaining the outcome. RESULTS: We found Pre-/T2D to be associated with age, BMI, physical activity, income, education, receiving health services, and other factors. A moderating role for race/ethnicity was also confirmed. CONCLUSION: The racial disparities observed in our three main categories generally resulted from high levels of undiagnosed Pre-/T2D and high levels of diagnosed but unmanaged Pre-T2D. Race/ethnicity’s moderating role generally indicated that, through the factors BMI, age, and receiving health services, minority status (with its attendant disadvantages) could facilitate undiagnosed Pre-/T2D as well as Pre-/T2D indicated concurrently by diagnosis and biomarker. |
format | Online Article Text |
id | pubmed-5544614 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-55446142017-08-18 Skin Deep: Enhanced Variable May Help Explain Racial Disparities in Type 2 Diabetes and Prediabetes Lo, Celia C. Lara, Joanna Cheng, Tyrone C. Diabetes Ther Original Research INTRODUCTION: The study refined definitions of type 2 diabetes and prediabetes (Pre-/T2D) via its four-category outcome variable. Respondents were identified as Pre-/T2D on the basis of (a) doctor’s diagnosis only (i.e., managed Pre-/T2D); (b) biomarker only (i.e., undiagnosed Pre-/T2D); or (c) both diagnosis and biomarker (i.e., unmanaged Pre-/T2D). The reference was Pre-/T2D not indicated. We linked the outcome to social structural and social support factors, health care-related factors, mental disorder, and lifestyle variables, for each racial/ethnic group. METHODS: We used the 2011–2012 and 2013–2014 National Health and Nutrition Examination Surveys to measure the four-category outcome and examine race/ethnicity’s role in explaining the outcome. RESULTS: We found Pre-/T2D to be associated with age, BMI, physical activity, income, education, receiving health services, and other factors. A moderating role for race/ethnicity was also confirmed. CONCLUSION: The racial disparities observed in our three main categories generally resulted from high levels of undiagnosed Pre-/T2D and high levels of diagnosed but unmanaged Pre-T2D. Race/ethnicity’s moderating role generally indicated that, through the factors BMI, age, and receiving health services, minority status (with its attendant disadvantages) could facilitate undiagnosed Pre-/T2D as well as Pre-/T2D indicated concurrently by diagnosis and biomarker. Springer Healthcare 2017-06-14 2017-08 /pmc/articles/PMC5544614/ /pubmed/28616807 http://dx.doi.org/10.1007/s13300-017-0278-z Text en © The Author(s) 2017 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Research Lo, Celia C. Lara, Joanna Cheng, Tyrone C. Skin Deep: Enhanced Variable May Help Explain Racial Disparities in Type 2 Diabetes and Prediabetes |
title | Skin Deep: Enhanced Variable May Help Explain Racial Disparities in Type 2 Diabetes and Prediabetes |
title_full | Skin Deep: Enhanced Variable May Help Explain Racial Disparities in Type 2 Diabetes and Prediabetes |
title_fullStr | Skin Deep: Enhanced Variable May Help Explain Racial Disparities in Type 2 Diabetes and Prediabetes |
title_full_unstemmed | Skin Deep: Enhanced Variable May Help Explain Racial Disparities in Type 2 Diabetes and Prediabetes |
title_short | Skin Deep: Enhanced Variable May Help Explain Racial Disparities in Type 2 Diabetes and Prediabetes |
title_sort | skin deep: enhanced variable may help explain racial disparities in type 2 diabetes and prediabetes |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5544614/ https://www.ncbi.nlm.nih.gov/pubmed/28616807 http://dx.doi.org/10.1007/s13300-017-0278-z |
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