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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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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
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author Rowan, Chip P
Miadovnik, Lisa A
Riddell, Michael C
Rotondi, Michael A
Gledhill, Norman
Jamnik, Veronica K
author_facet Rowan, Chip P
Miadovnik, Lisa A
Riddell, Michael C
Rotondi, Michael A
Gledhill, Norman
Jamnik, Veronica K
author_sort Rowan, Chip P
collection PubMed
description 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.
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spelling pubmed-41680612014-09-20 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 Rowan, Chip P Miadovnik, Lisa A Riddell, Michael C Rotondi, Michael A Gledhill, Norman Jamnik, Veronica K BMC Public Health Research Article 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. BioMed Central 2014-09-08 /pmc/articles/PMC4168061/ /pubmed/25196023 http://dx.doi.org/10.1186/1471-2458-14-929 Text en © Rowan et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Rowan, Chip P
Miadovnik, Lisa A
Riddell, Michael C
Rotondi, Michael A
Gledhill, Norman
Jamnik, Veronica K
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Research Article
url 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
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