Dietary glycemic index and glycemic load in relation to HbA1c in Japanese obese adults: a cross-sectional analysis of the Saku Control Obesity Program.

Dietary glycemic index and glycemic load in relation to HbA1c in Japanese obese adults: a cross-sectional analysis of the Saku Control Obesity Program.
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DOI:
10.1186/1743-7075-9-79
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发表时间:
2012-09-10
影响因子:
4.5
通讯作者:
SCOP Study Group
SCOP Study Group
中科院分区:
医学3区
文献类型:
--
作者:
Goto M;Morita A;Goto A;Sasaki S;Aiba N;Shimbo T;Terauchi Y;Miyachi M;Noda M;Watanabe S;SCOP Study Group

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膳食血糖指数或负荷被认为在糖代谢中起重要作用。然而,很少有研究探讨亚洲人群中血糖指数(GI)或负荷(GL)与BMI之间的关系。在这项随机对照试验(佐久控制肥胖计划)的横断面分析中,我们检查了基线GI或GL与BMI(HbA 1c和空腹血糖[FPG]水平)、胰岛素抵抗(HOMA-IR)、β细胞功能(HOMA-β)和其他代谢风险因素(血脂水平、舒张压和收缩压以及肥胖测量)之间的关系。参与者是227名肥胖的日本女性和男性。我们使用多元线性回归模型和逻辑回归模型来调整潜在的混杂因素,如年龄、性别、内脏脂肪面积、总能量摄入和体力活动水平。调整潜在混杂因素后,GI与HbA 1c无关,但GL与HbA 1c呈正相关。对于GI的四分位数增加,HbA 1c校正均值分别为6.3%、6.7%、6.4%和6.4%(趋势P = 0.991)。对于GL的四分位数增加,HbA 1c校正均值分别为6.2%、6.2%、6.6%和6.5%(趋势P = 0.044)。此外,在HbA 1c ≥ 7.0%的受试者中,28例受试者中有20例(71%)的GL较高(≥中位数);与GL较低(<中位数)的受试者相比,GL较高的受试者中HbA 1c ≥ 7.0%的校正比值比为3.1(95%置信区间[CI] = 1.2 - 8.1)。此外,在FPG ≥ 150 mg/dL的16名受试者中,13名受试者(81.3%)的GL较高;与GL较低的受试者相比,GL较高的受试者中FPG ≥ 150 mg/dL的校正比值比为8.5(95%置信区间= 1.7至43.4)。相比之下,GI和GL与代谢危险因素无关。我们的研究结果表明,在日本肥胖人群中,血糖控制不良的参与者往往有较高的GL。
Dietary glycemic index or load is thought to play an important role in glucose metabolism. However, few studies have investigated the relation between glycemic index (GI) or load (GL) and glycemia in Asian populations. In this cross-sectional analysis of a randomized controlled trial, the Saku Control Obesity Program, we examined the relation between the baseline GI or GL and glycemia (HbA1c and fasting plasma glucose [FPG] levels), insulin resistance (HOMA-IR), β-cell function (HOMA-β), and other metabolic risk factors (lipid levels, diastolic and systolic blood pressure, and adiposity measures). The participants were 227 obese Japanese women and men. We used multiple linear regression models and logistic regression models to adjust for potential confounding factors such as age, sex, visceral fat area, total energy intake, and physical activity levels. After adjustments for potential confounding factors, GI was not associated with HbA1c, but GL was positively associated with HbA1c. For increasing quartiles of GI, the adjusted mean HbA1c were 6.3%, 6.7%, 6.4%, and 6.4% (P for trend = 0.991). For increasing quartiles of GL, the adjusted mean HbA1c were 6.2%, 6.2%, 6.6%, and 6.5% (P for trend = 0.044). In addition, among participants with HbA1c ≥ 7.0%, 20 out of 28 (71%) had a high GL (≥ median); the adjusted odds ratio for HbA1c ≥ 7.0% among participants with higher GL was 3.1 (95% confidence interval [CI] = 1.2 to 8.1) compared to the participants with a lower GL (<median). Further, among 16 participants with FPG ≥ 150 mg/dL, 13 participants (81.3%) had a higher GL; the adjusted odds ratio for FPG ≥ 150 mg/dL among participants with a higher GL was 8.5 (95% confidence interval = 1.7 to 43.4) compared to those with a lower GL. In contrast, GI and GL were not associated with metabolic risk factors other than glycemia. Our findings suggest that participants with poor glycemic control tend to have a higher GL in an obese Japanese population.
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