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Nutrient Patterns Associated with Fasting Glucose and Glycated Haemoglobin Levels in a Black South African Population

机译:南非黑人人群中与空腹血糖和糖化血红蛋白水平相关的营养模式

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Type 2 diabetes (T2D) burden is increasing globally. However, evidence regarding nutrient patterns associated with the biomarkers of T2D is limited. This study set out to determine the nutrient patterns associated with fasting glucose and glycated haemoglobin the biomarkers of T2D. Factor analysis was used to derive nutrient patterns of 2010 participants stratified by urban/rural status and gender. Principal Component Analysis (PCA) was applied to 25 nutrients, computed from the quantified food frequency questionnaires (QFFQ). Three nutrient patterns per stratum, which accounted for 73% of the variation of the selected nutrients, were identified. Multivariate linear regression models adjusted for age, BMI, smoking, physical activity, education attained, alcohol intake, seasonality and total energy intake were computed. Starch, dietary fibre and B vitamins driven nutrient pattern was significantly associated with fasting glucose (β = ?0.236 (?0.458; ?0.014); p = 0.037) and glycated haemoglobin levels (β = ?0.175 (?0.303; ?0.047); p = 0.007) in rural women. Thiamine, zinc and plant protein driven nutrient pattern was associated with significant reductions in glycated haemoglobin and fasting glucose ((β = ?0.288 (?0.543; ?0.033); p = 0.027) and (β = ?0.382 (?0.752; ?0.012); p = 0.043), respectively) in rural men. Our results indicate that plant driven nutrient patterns are associated with low fasting glucose and glycated haemoglobin levels.
机译:全球2型糖尿病(T2D)负担正在增加。但是,有关与T2D生物标志物相关的营养模式的证据有限。这项研究着手确定与空腹血糖和糖化血红蛋白相关的营养模式,这是T2D的生物标志物。因子分析用于得出按城市/农村状况和性别分层的2010年参与者的营养模式。将主成分分析(PCA)应用于从定量食物频率问卷(QFFQ)计算得出的25种营养素。确定了每个层的三种养分模式,它们占所选养分变化的73%。计算了针对年龄,BMI,吸烟,体育锻炼,受教育程度,酒精摄入,季节性和总能量摄入进行调整的多元线性回归模型。淀粉,膳食纤维和B族维生素驱动的营养模式与空腹血糖(β= 0.236(0.458; 0.014); 0.037)和糖化血红蛋白水平(β= 0.175(0.303; 0.047)显着相关; p = 0.007)。硫胺素,锌和植物蛋白驱动的营养模式与糖化血红蛋白和空腹血糖的显着降低有关((β=≤0.288(≤0.543;≤0.033); p = 0.027)和(β=≤0.382(≤0.752; 0.012) ); p = 0.043))。我们的结果表明,植物驱动的营养模式与低空腹血糖和糖化血红蛋白水平有关。

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