Muhammad Harry Freitag Luglio, Sulistyoningrum Dian Caturini, Huriyati Emy, Lee Yi Yi, Manan Wan Muda Wan Abdul
Department of Nutrition and Health, Faculty of Medicine, Public Health, Nursing, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia.
United Nation University, Kuala Lumpur 16150, Malaysia.
J Nutr Metab. 2019 Jan 2;2019:9606054. doi: 10.1155/2019/9606054. eCollection 2019.
Coffee is suggested as an alternative option for weight loss but the relationship between coffee consumption and adiposity in population-based studies is still controversial. Therefore, this study was aimed at evaluating the relationship between coffee intake and adiposity in adults and to test whether uncoupling protein 2 (UCP2) gene variation was able to affect this relationship.
This was a cross-sectional study conducted in male and female adults living in the urban area of Yogyakarta, Indonesia. Adiposity was determined based on body weight, body mass index (BMI), percent body fat, and waist and hip circumference. Data on coffee consumption and other dietary components were collected using a semiquantitative food frequency questionnaire along with other caffeine-containing beverages such as tea, chocolate, and other beverages. The -866 G/A UCP2 gene variation was analyzed using polymerase chain reaction-restriction fragment length polymorphism. The correlation between coffee intake and adiposity was tested using linear regression test with adjustment for sex, age, energy intake, table sugar intake, and total caffeine intake.
In all subjects, coffee intake was inversely correlated with body weight ( = -0.122, =0.028), BMI ( = -0.157, =0.005), and body fat ( = -0.135, =0.009). In subjects with AA + GA genotypes, coffee intake was inversely correlated with body weight ( = -0.155, =0.027), BMI ( = -0.179, =0.010), and body fat ( = -0.148, =0.021). By contrast, in subjects with GG genotype, coffee intake was not correlated with body weight ( = -0.017, =0.822), BMI ( = -0.068, =0.377), and body fat ( = -0.047, =0.504).
We showed that coffee intake was negatively correlated with adiposity, and this was independent of total caffeine intake. Additionally, we showed that the -866 G/A UCP2 gene variation influences the relationship between coffee intake and adiposity.
咖啡被认为是一种减肥的替代选择，但在基于人群的研究中，咖啡摄入量与肥胖之间的关系仍存在争议。因此，本研究旨在评估成年人咖啡摄入量与肥胖之间的关系，并测试解偶联蛋白2（UCP2）基因变异是否会影响这种关系。
这是一项对居住在印度尼西亚日惹市区的成年男性和女性进行的横断面研究。根据体重、体重指数（BMI）、体脂百分比以及腰围和臀围来确定肥胖程度。使用半定量食物频率问卷收集咖啡摄入量和其他饮食成分的数据，以及其他含咖啡因的饮料，如茶、巧克力和其他饮品。采用聚合酶链反应-限制性片段长度多态性分析-866G/A UCP2基因变异。通过线性回归测试，在对性别、年龄、能量摄入、食糖摄入量和总咖啡因摄入量进行调整后，测试咖啡摄入量与肥胖之间的相关性。
在所有受试者中，咖啡摄入量与体重（r = -0.122，P = 0.028）、BMI（r = -0.157，P = 0.005）和体脂（r = -0.135，P = 0.009）呈负相关。在AA + GA基因型的受试者中，咖啡摄入量与体重（r = -0.155，P = 0.027）、BMI（r = -0.179，P = 0.010）和体脂（r = -0.148，P = 0.021）呈负相关。相比之下，在GG基因型的受试者中，咖啡摄入量与体重（r = -0.017，P = 0.822）、BMI（r = -0.068，P = 0.377）和体脂（r = -0.047，P = 0.504）无相关性。
我们发现咖啡摄入量与肥胖呈负相关，且这与总咖啡因摄入量无关。此外，我们发现-866G/A UCP2基因变异会影响咖啡摄入量与肥胖之间的关系。
