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Diabetes Numeracy: An overlooked factor in understanding racial disparities in glycemic control

OBJECTIVE: Understanding the reasons and eliminating the pervasive health disparities in diabetes is a major research, clinical, and health policy goal. We examined whether health literacy, general numeracy, and diabetes-related numeracy explain the association between African American race and poor...

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Autores principales: Osborn, Chandra Y., Cavanaugh, Kerri, Wallston, Kenneth A., White, Richard O., Rothman, Russell L.
Formato: Texto
Lenguaje:English
Publicado: American Diabetes Association 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2732142/
https://www.ncbi.nlm.nih.gov/pubmed/19401443
http://dx.doi.org/10.2337/dc09-0425
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author Osborn, Chandra Y.
Cavanaugh, Kerri
Wallston, Kenneth A.
White, Richard O.
Rothman, Russell L.
author_facet Osborn, Chandra Y.
Cavanaugh, Kerri
Wallston, Kenneth A.
White, Richard O.
Rothman, Russell L.
author_sort Osborn, Chandra Y.
collection PubMed
description OBJECTIVE: Understanding the reasons and eliminating the pervasive health disparities in diabetes is a major research, clinical, and health policy goal. We examined whether health literacy, general numeracy, and diabetes-related numeracy explain the association between African American race and poor glycemic control (A1C) in patients with diabetes. RESEARCH DESIGN AND METHODS: Adults with type 2 diabetes (n = 383) were enrolled in a cross-sectional study at primary care and diabetes clinics at three medical centers. Data collected included the following: self-reported race, health literacy, general numeracy, diabetes-related numeracy, A1C, and sociodemographic factors. A series of structural equation models were estimated to explore the interrelations between variables and test for mediation. RESULTS: In model 1, younger age (r = −0.21, P < 0.001), insulin use (r = 0.27, P < 0.001), greater years with diabetes (r = 0.16, P < 0.01), and African American race (r = 0.12, P < 0.01) were all associated with poorer glycemic control. In model 2, diabetes-related numeracy emerged as a strong predictor of A1C (r = −0.46, P < 0.001), reducing the association between African American and poor glycemic control to nonsignificance (r = 0.10, NS). In model 3, African American race and older age were associated with lower diabetes-related numeracy; younger age, insulin use, more years with diabetes, and lower diabetes-related numeracy were associated with poor glycemic control. CONCLUSIONS: Diabetes-related numeracy reduced the explanatory power of African American race, such that low diabetes-related numeracy, not African American race, was significantly related to poor glycemic control. Interventions that address numeracy could help to reduce racial disparities in diabetes.
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spelling pubmed-27321422010-09-01 Diabetes Numeracy: An overlooked factor in understanding racial disparities in glycemic control Osborn, Chandra Y. Cavanaugh, Kerri Wallston, Kenneth A. White, Richard O. Rothman, Russell L. Diabetes Care Original Research OBJECTIVE: Understanding the reasons and eliminating the pervasive health disparities in diabetes is a major research, clinical, and health policy goal. We examined whether health literacy, general numeracy, and diabetes-related numeracy explain the association between African American race and poor glycemic control (A1C) in patients with diabetes. RESEARCH DESIGN AND METHODS: Adults with type 2 diabetes (n = 383) were enrolled in a cross-sectional study at primary care and diabetes clinics at three medical centers. Data collected included the following: self-reported race, health literacy, general numeracy, diabetes-related numeracy, A1C, and sociodemographic factors. A series of structural equation models were estimated to explore the interrelations between variables and test for mediation. RESULTS: In model 1, younger age (r = −0.21, P < 0.001), insulin use (r = 0.27, P < 0.001), greater years with diabetes (r = 0.16, P < 0.01), and African American race (r = 0.12, P < 0.01) were all associated with poorer glycemic control. In model 2, diabetes-related numeracy emerged as a strong predictor of A1C (r = −0.46, P < 0.001), reducing the association between African American and poor glycemic control to nonsignificance (r = 0.10, NS). In model 3, African American race and older age were associated with lower diabetes-related numeracy; younger age, insulin use, more years with diabetes, and lower diabetes-related numeracy were associated with poor glycemic control. CONCLUSIONS: Diabetes-related numeracy reduced the explanatory power of African American race, such that low diabetes-related numeracy, not African American race, was significantly related to poor glycemic control. Interventions that address numeracy could help to reduce racial disparities in diabetes. American Diabetes Association 2009-09 2009-04-28 /pmc/articles/PMC2732142/ /pubmed/19401443 http://dx.doi.org/10.2337/dc09-0425 Text en © 2009 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details.
spellingShingle Original Research
Osborn, Chandra Y.
Cavanaugh, Kerri
Wallston, Kenneth A.
White, Richard O.
Rothman, Russell L.
Diabetes Numeracy: An overlooked factor in understanding racial disparities in glycemic control
title Diabetes Numeracy: An overlooked factor in understanding racial disparities in glycemic control
title_full Diabetes Numeracy: An overlooked factor in understanding racial disparities in glycemic control
title_fullStr Diabetes Numeracy: An overlooked factor in understanding racial disparities in glycemic control
title_full_unstemmed Diabetes Numeracy: An overlooked factor in understanding racial disparities in glycemic control
title_short Diabetes Numeracy: An overlooked factor in understanding racial disparities in glycemic control
title_sort diabetes numeracy: an overlooked factor in understanding racial disparities in glycemic control
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2732142/
https://www.ncbi.nlm.nih.gov/pubmed/19401443
http://dx.doi.org/10.2337/dc09-0425
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