Tzonou A, Hsieh C C, Polychronopoulou A, Kaprinis G, Toupadaki N, Trichopoulou A, Karakatsani A, Trichopoulos D
Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115.
Int J Cancer. 1993 Sep 30;55(3):411-4. doi: 10.1002/ijc.2910550314.
In a hospital-based case-control study of common malignant epithelial tumors of the ovary, conducted in Athens (1989-1991), 189 cases were compared with 200 hospital visitor controls. Personal interviews were conducted in all cases and diet was ascertained through a semi-quantitative food frequency questionnaire. Nutrient intakes for individuals were estimated by multiplying the nutrient content of a typical portion size for each specified food item by the frequency at which the food was consumed per month and summing these estimates for all food items. Data were analyzed using logistic regression, controlling for non-dietary confounding factors, total energy intake and, among nutrients, mutual confounding influences. Adjusted odds ratios (rate ratios) for ovarian cancer, associated with particular nutritional variables, were expressed in terms of increments approximately equal to the standard deviations of (the residual of) the respective nutrients, on a daily basis. The adjusted odds ratios (and 95% confidence intervals) were 0.80 (0.65-0.99) for mono-unsaturated fat and 0.73 (0.61-0.87) for crude fiber. No substantial, statistically significant or consistent independent associations were noted for total energy, total protein, saturated fat, polyunsaturated fat, dietary cholesterol, total carbohydrates, sucrose, vitamin C, vitamin A, riboflavin or calcium. These associations, if causal, could explain to some extent the relatively low incidence of ovarian cancer in Greece and other Mediterranean countries as well as the increasing incidence trends noted in these countries during the last few decades.
在雅典开展的一项基于医院的卵巢常见恶性上皮肿瘤病例对照研究(1989 - 1991年)中,将189例病例与200名医院访客对照进行了比较。对所有病例进行了个人访谈,并通过半定量食物频率问卷确定饮食情况。通过将每种特定食物的典型份量的营养成分乘以每月食用该食物的频率,并将所有食物的这些估计值相加,来估算个体的营养摄入量。使用逻辑回归分析数据,控制非饮食混杂因素、总能量摄入以及营养素之间的相互混杂影响。与特定营养变量相关的卵巢癌调整比值比(率比),以每天大致等于各营养素(残差)标准差的增量表示。单不饱和脂肪的调整比值比(及95%置信区间)为0.80(0.65 - 0.99),粗纤维为0.73(0.61 - 0.87)。对于总能量、总蛋白质、饱和脂肪、多不饱和脂肪、膳食胆固醇、总碳水化合物、蔗糖、维生素C、维生素A、核黄素或钙,未发现实质性的、具有统计学意义或一致的独立关联。这些关联如果是因果关系,在一定程度上可以解释希腊和其他地中海国家卵巢癌发病率相对较低的情况,以及这些国家在过去几十年中观察到的发病率上升趋势。