Lau Cathrine, Toft Ulla, Tetens Inge, Richelsen Bjørn, Jørgensen Torben, Borch-Johnsen Knut, Glümer Charlotte
Steno Diabetes Center, Gentofte, Denmark.
Am J Clin Nutr. 2006 Sep;84(3):641-5. doi: 10.1093/ajcn/84.3.641.
The few studies examining the potential associations between glycemic index (GI), glycemic load (GL), and body mass index (BMI) have provided no clear pictures. Underreporting of energy intake may be one explanation for this.
We examined the associations between GI, GL, and BMI by focusing on the confounding factor of total energy intake and the effect of exclusion of low energy reporters (LERs).
This was a cross-sectional study of 6334 subjects aged 30-60 y. Dietary intake was estimated from a food-frequency questionnaire. GI and GL were estimated by using white bread as the reference food. Underreporting of energy intake was assessed as reported energy intake divided by basal metabolic rate (EI/BMR); LERs were defined as those having an EI/BMR < 1.14. Univariate and multiple linear regression models were used to test for associations between GI, GL, and BMI. The confounders were sex, age, smoking, physical activity, alcohol intake, and energy intake. All analyses were conducted on 1) the entire population and 2) a subsample excluding LERs.
In the univariate analyses of the entire population, GL was inversely associated with BMI. No association was observed for GI. After full adjustment (including energy intake), both GI and GL were positively associated with BMI. When LERs were excluded, GL was positively associated with BMI in all analyses, and GI was positively associated with BMI in the multiple analyses.
We showed a positive association between GI, GL, and BMI. Energy adjustment and the exclusion of LERs significantly affected the results of the analysis; thus, we stress the importance of energy adjustment.
少数研究探讨了血糖生成指数(GI)、血糖负荷(GL)与体重指数(BMI)之间的潜在关联,但结果并不明确。能量摄入报告不足可能是原因之一。
我们通过关注总能量摄入的混杂因素以及排除低能量报告者(LERs)的影响,来研究GI、GL与BMI之间的关联。
这是一项对6334名30至60岁受试者的横断面研究。通过食物频率问卷估算饮食摄入量。以白面包为参考食物估算GI和GL。能量摄入报告不足通过报告的能量摄入量除以基础代谢率(EI/BMR)来评估;LERs定义为EI/BMR < 1.14的个体。使用单变量和多元线性回归模型来检验GI、GL与BMI之间的关联。混杂因素包括性别、年龄、吸烟、身体活动、酒精摄入和能量摄入。所有分析在1)总体人群和2)排除LERs的子样本上进行。
在总体人群的单变量分析中,GL与BMI呈负相关。未观察到GI与BMI的关联。在进行全面调整(包括能量摄入)后,GI和GL均与BMI呈正相关。排除LERs后,在所有分析中GL与BMI呈正相关,在多元分析中GI与BMI呈正相关。
我们发现GI、GL与BMI之间存在正相关。能量调整和排除LERs显著影响了分析结果;因此,我们强调能量调整的重要性。