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Identifying persons at risk for developing type 2 diabetes in a concentrated population of high risk ethnicities in Canada using a risk assessment questionnaire and point-of-care capillary blood HbA(1c) measurement

BACKGROUND: Amidst the growing health care burden created by diabetes, this study aimed to assess the utility of a prediabetes/type 2 diabetes risk questionnaire in high risk ethnic communities in Toronto Canada. METHODS: Participants (n = 691) provided questionnaire responses and capillary blood te...

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Detalles Bibliográficos
Autores principales: Rowan, Chip P, Miadovnik, Lisa A, Riddell, Michael C, Rotondi, Michael A, Gledhill, Norman, Jamnik, Veronica K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168061/
https://www.ncbi.nlm.nih.gov/pubmed/25196023
http://dx.doi.org/10.1186/1471-2458-14-929
Descripción
Sumario:BACKGROUND: Amidst the growing health care burden created by diabetes, this study aimed to assess the utility of a prediabetes/type 2 diabetes risk questionnaire in high risk ethnic communities in Toronto Canada. METHODS: Participants (n = 691) provided questionnaire responses and capillary blood tests collected via fingerstick and results were analysed for HbA(1c) using the Bio-Rad in2it point-of-care device. The Bland-Altman method was used to compare point-of-care HbA(1c) analysis (Bio-Rad, boronate affinity chromatography) to that using high performance liquid chromatography. ANOVA and linear regression were performed to investigate the relationship between questionnaire and blood data. RESULTS: Mean (±SD) HbA(1c) was 5.99% ± 0.84 and the Bland-Altman analysis revealed no significant biases HbA(1c) (bias = 0.039, 95% limits of agreement = -1.14 to 1.22). ANOVA showed that with increasing risk classification based on questionnaire answers (with the exception of "moderate"-to-"high"), there was a significant increase in mean HbA(1c) (Welch Statistic 30.449, p < 0.001). Linear regression revealed that the number of high risk parents, age category, BMI, physical activity participation and previous diagnosis of high blood sugar were significant contributors (p < 0.05) to the variance in HbA(1c). CONCLUSIONS: Though not a substitute for established diagnostic protocols, the use of a risk questionnaire can be an accurate, low cost, educational and time efficient method for assessment of type 2 diabetes risk. The early detection of prediabetes and type 2 diabetes is vital to increased awareness and opportunity for intervention with the goal of preventing or delaying the progression of type 2 diabetes and the known associated complications. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2458-14-929) contains supplementary material, which is available to authorized users.