Cancer Epidemiology Branch, Division of Cancer Epidemiology and Management, Research Institute, National Cancer Center, Ilsandong-gu, Goyang-si, Gyeonggi-do, South Korea.
Nutr Res. 2012 Mar;32(3):153-9. doi: 10.1016/j.nutres.2011.12.009. Epub 2012 Feb 6.
Intake of high-glycemic index (GI) food has been postulated to reduce satiety, resulting in an increased total energy intake and reduced access to body fat as fuel. Thus, we hypothesize that high dietary GI and glycemic load (GL) are associated with an increased prevalence of obesity in the Korean population. Dietary GI and GL were calculated for 933 Korean men and women based on dietary intake assessed by food frequency questionnaires and using a GI table developed from published GI databases in a cross-sectional design. Mean differences in dietary GL and carbohydrate intake between obese and nonobese men were statistically significant after adjusting for covariates (P = .027 and .021, respectively). High dietary GL and carbohydrate intake were negatively associated with the prevalence of obesity among men in a multivariate-adjusted logistic regression model (P for trend = .026 and .036, respectively). Statistically significant effects of dietary GI and GL on the prevalence of obesity among women were observed in a generalized linear model (P = .002 and .042, respectively) and a logistic regression model (P for trend < .001 and = .007, respectively), after adjusting for covariates. Women with higher dietary GI and GL were more likely to be obese, a result consistent with our hypothesis. However, an inverse association for dietary GL and carbohydrate and prevalence of obesity was found in men, suggesting that mechanisms contributing to the prevalence of obesity between sexes may be different.
高血糖指数(GI)食物的摄入被认为会降低饱腹感,导致总能量摄入增加,身体脂肪作为燃料的利用率降低。因此,我们假设高膳食 GI 和血糖负荷(GL)与韩国人群肥胖的患病率增加有关。根据横断面设计,通过食物频率问卷评估的饮食摄入量和使用从已发表的 GI 数据库开发的 GI 表,计算了 933 名韩国男性和女性的膳食 GI 和 GL。调整协变量后,肥胖男性和非肥胖男性之间膳食 GL 和碳水化合物摄入量的平均差异具有统计学意义(分别为 P =.027 和 P =.021)。在多变量调整的逻辑回归模型中,高膳食 GL 和碳水化合物摄入量与男性肥胖的患病率呈负相关(趋势 P 值分别为.026 和.036)。在广义线性模型(P =.002 和 P =.042)和逻辑回归模型(趋势 P 值 <.001 和 =.007)中,调整协变量后,膳食 GI 和 GL 对女性肥胖的患病率也有显著影响。女性的膳食 GI 和 GL 越高,肥胖的可能性就越大,这与我们的假设一致。然而,在男性中,膳食 GL 和碳水化合物与肥胖的患病率呈负相关,这表明导致男女肥胖患病率不同的机制可能不同。