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Fasting Triglycerides As a Predictor of Incident Diabetes, Insulin Resistance and β-cell Function in a Canadian First Nation

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Date 2017 Apr 14
PMID 28406758
Citations 8
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Abstract

Background: Diabetes prevalence is substantially higher among Canadian First Nations populations than the non-First Nation population. Fasting serum triglycerides have been found to be an important predictor of incident diabetes among non-indigenous populations. However, there is a great need to understand diabetes progression within specific ethnic groups, particularly First Nations populations.

Objective: The purpose of this study was to test for an association between fasting serum triglycerides and incident diabetes, changes in insulin resistance and changes in β-cell function in a Manitoba First Nation cohort.

Methods: Study data were from two diabetes screening studies in Sandy Bay First Nation in Manitoba, Canada, collected in 2002/2003 and 2011/2012. The cohort was composed of respondents to both screening studies (n=171). Fasting blood samples and anthropometric, health and demographic data were collected. A generalised linear model with Poisson distribution was used to test for an association between fasting triglycerides and incident diabetes.

Results: There were 35 incident cases of diabetes among 128 persons without diabetes at baseline. Participants who developed incident type 2 diabetes were significantly older and had significantly higher body mass index (BMI; p=0.012), total cholesterol (p=0.007), fasting triglycerides (p<0.001), and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) (p<0.001). Fasting triglyceride level was found to be a statistically significant positive predictor of incident diabetes independent of age, sex and waist circumference at baseline. Participants with triglycerides in the highest tertile (≥2.11 mmol/l) had a 4.0-times higher risk of developing incident diabetes compared to those in the lowest tertile (p=0.03). Notably, neither waist circumference nor BMI were significant predictors of incident diabetes independent of age, sex and triglycerides.

Conclusion: Fasting triglycerides may be useful as a clinical predictor of insulin resistance and diabetes development among First Nations populations. Unlike other ethnic groups, BMI and waist circumference may be less important factors in diabetes development.

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References
1.
FRIEDEWALD W, Levy R, Fredrickson D . Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972; 18(6):499-502. View

2.
Perry I, Wannamethee S, Walker M, Thomson A, Whincup P, Shaper A . Prospective study of risk factors for development of non-insulin dependent diabetes in middle aged British men. BMJ. 1995; 310(6979):560-4. PMC: 2548938. DOI: 10.1136/bmj.310.6979.560. View

3.
Ley S, Harris S, Connelly P, Mamakeesick M, Gittelsohn J, Wolever T . Utility of non-high-density lipoprotein cholesterol in assessing incident type 2 diabetes risk. Diabetes Obes Metab. 2012; 14(9):821-5. DOI: 10.1111/j.1463-1326.2012.01607.x. View

4.
Johnson J, Vermeulen S, Toth E, Hemmelgarn B, Ralph-Campbell K, Hugel G . Increasing incidence and prevalence of diabetes among the Status Aboriginal population in urban and rural Alberta, 1995-2006. Can J Public Health. 2009; 100(3):231-6. PMC: 6973863. View

5.
Dotevall A, Johansson S, Wilhelmsen L, Rosengren A . Increased levels of triglycerides, BMI and blood pressure and low physical activity increase the risk of diabetes in Swedish women. A prospective 18-year follow-up of the BEDA study. Diabet Med. 2004; 21(6):615-22. DOI: 10.1111/j.1464-5491.2004.01189.x. View