Thiébaut A C, Clavel-Chapelon F
Inserm U. 521, Institut Gustave-Roussy, 39, rue Camille-Desmoulins, 94805 Villejuif Cedex.
Bull Cancer. 2001 Oct;88(10):954-8.
Recent reviews have concluded that a high consumption of total, saturated or animal, fat could possibly increase the risk of breast cancer. However these results are highly dependent on the type of study; indeed, most of the prospective studies do not support this association. In this paper, we investigated the relationship between fat consumption and breast cancer risk in the E3N-Epic cohort, the French component of the European Prospective Investigation into Cancer and Nutrition. Assessment of fat consumption was based on daily intakes of food items and nutrients using a food-frequency questionnaire. Relative risk (RR) estimates were calculated using Cox's proportional hazards model. After an average of 3.4 years of follow-up, 838 cases of incident breast cancer were recorded in a study population of 65,879 women. The mean caloric intake was 2,073 kcal (SD 540), with 37% of calories coming from fat intake. Milk products and vegetable oils were the main sources of fat in the diet. We found a small positive association between fat intake and breast cancer risk. Compared with the lowest, women in the highest quartile of fat intake had a 37% higher risk of breast cancer (RR 1.37, CI95% = 0.99-1.89). There was no detectable association between fatty acids or food items contributing to fat intake and breast cancer risk. These analyses suggest there is a need for longer follow-up time to increase statistical power and confirm these tendencies.
近期综述得出结论,高摄入总脂肪、饱和脂肪或动物脂肪可能会增加患乳腺癌的风险。然而,这些结果高度依赖于研究类型;实际上,大多数前瞻性研究并不支持这种关联。在本文中,我们在E3N-Epic队列(欧洲癌症与营养前瞻性调查的法国部分)中研究了脂肪摄入量与乳腺癌风险之间的关系。脂肪摄入量的评估基于使用食物频率问卷对食物项目和营养素的每日摄入量。相对风险(RR)估计值使用Cox比例风险模型计算。在平均3.4年的随访后,在65879名女性的研究人群中记录了838例新发乳腺癌病例。平均热量摄入为2073千卡(标准差540),其中37%的热量来自脂肪摄入。乳制品和植物油是饮食中脂肪的主要来源。我们发现脂肪摄入量与乳腺癌风险之间存在微弱的正相关。与脂肪摄入量最低的四分位数组相比,最高四分位数组的女性患乳腺癌的风险高37%(RR 1.37,95%置信区间 = 0.99 - 1.89)。在构成脂肪摄入的脂肪酸或食物项目与乳腺癌风险之间未发现可检测到的关联。这些分析表明需要更长的随访时间以提高统计效力并确认这些趋势。