Jennifer A Campbell1,2,3, Rebekah J Walker1,2, Aprill Z Dawson1,2, Leonard E Egede4,5,6. 1. Division of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI, 53226-3596, USA. 2. Center for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI, USA. 3. Joseph Zilber School of Public Health, University of Wisconsin Milwaukee, Milwaukee, WI, USA. 4. Division of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI, 53226-3596, USA. legede@mcw.edu. 5. Center for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI, USA. legede@mcw.edu. 6. Joseph Zilber School of Public Health, University of Wisconsin Milwaukee, Milwaukee, WI, USA. legede@mcw.edu.
Abstract
BACKGROUND: Diabetes is a burgeoning disease affecting more than 8% of the world population. Indigenous communities are disproportionately impacted by diabetes; however, limited data is available on prevalence and correlates of diabetes. METHODS: Data was collected from 211 Indigenous Kuna adults off the coast of Panamá in the San Blas region of the Caribbean. Diabetes and prediabetes were measured by HbA1c. Obesity was defined using the US BMI categories as well as categories defined by the WHO to assess obesity among Asian populations. Univariate analyses (chi2 tests) were used to investigate diabetes status and obesity by demographic factors. Logistic regression was used to examine the correlates of diabetes and obesity. RESULTS: Of the 211 adults, 13% had diabetes, 35% had prediabetes, and approximately 39% were obese. Using the Asian cut point for obesity, this number increased to 61%. Income was statistically significantly related to an HbA1c cut point of 6.5 (p = 0.005). Individuals who reported a monthly income of greater than $250 had increased odds of prediabetes and diabetes nearly sixfold for HbA1c of > 6.5 (OR 6.3; CI 1.43-28.45) and HbA1c of > 5.7 (OR 5.1; CI 1.03-26.14). CONCLUSIONS: These findings represent one of the first studies examining diabetes and prediabetes in indigenous Kuna of the San Blas region. Our findings suggest Kuna Indians may be at an increased risk for diabetes and prediabetes. Current national estimates for diabetes is considered low in this population. Greater understanding of determinants of diabetes and obesity are needed in order to address diabetes in this indigenous community.
BACKGROUND:Diabetes is a burgeoning disease affecting more than 8% of the world population. Indigenous communities are disproportionately impacted by diabetes; however, limited data is available on prevalence and correlates of diabetes. METHODS: Data was collected from 211 Indigenous Kuna adults off the coast of Panamá in the San Blas region of the Caribbean. Diabetes and prediabetes were measured by HbA1c. Obesity was defined using the US BMI categories as well as categories defined by the WHO to assess obesity among Asian populations. Univariate analyses (chi2 tests) were used to investigate diabetes status and obesity by demographic factors. Logistic regression was used to examine the correlates of diabetes and obesity. RESULTS: Of the 211 adults, 13% had diabetes, 35% had prediabetes, and approximately 39% were obese. Using the Asian cut point for obesity, this number increased to 61%. Income was statistically significantly related to an HbA1c cut point of 6.5 (p = 0.005). Individuals who reported a monthly income of greater than $250 had increased odds of prediabetes and diabetes nearly sixfold for HbA1c of > 6.5 (OR 6.3; CI 1.43-28.45) and HbA1c of > 5.7 (OR 5.1; CI 1.03-26.14). CONCLUSIONS: These findings represent one of the first studies examining diabetes and prediabetes in indigenous Kuna of the San Blas region. Our findings suggest Kuna Indians may be at an increased risk for diabetes and prediabetes. Current national estimates for diabetes is considered low in this population. Greater understanding of determinants of diabetes and obesity are needed in order to address diabetes in this indigenous community.
Authors: Dympna Leonard; Robyn McDermott; Kerin Odea; Kevin G Rowley; Poi Pensio; Edna Sambo; Aletia Twist; Raima Toolis; Simone Lowson; James D Best Journal: Aust N Z J Public Health Date: 2002-04 Impact factor: 2.939