Unit of Genetic Epidemiology, Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120 Heidelberg, Germany.
Br J Cancer. 2013 Jan 15;108(1):188-92. doi: 10.1038/bjc.2012.521. Epub 2012 Nov 20.
Research on the association between dietary patterns and breast cancer survival is very limited.
A prospective follow-up study was conducted in Germany, including 2522 postmenopausal breast cancer patients diagnosed in 2001-2005 with available food frequency questionnaire data. Vital status, causes of death, and recurrences were verified through the end of 2009. Principle component factor analysis was used to identify pre-diagnostic dietary patterns. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated with Cox proportional hazards models.
Two major dietary patterns were identified: 'healthy' (high intakes of vegetables, fruits, vegetable oil, sauces/condiments, and soups/bouillons) and 'unhealthy' (high intakes of red meat, processed meat, and deep-frying fat). Increasing consumption of an 'unhealthy' dietary pattern was associated with an increased risk of non-breast cancer mortality (highest vs lowest quartile: HR, 3.69; 95% CI, 1.66-8.17; P-trend <0.001). No associations with breast cancer-specific mortality and breast cancer recurrence were found. The 'healthy' dietary pattern was inversely associated with overall mortality (HR, 0.74; 95% CI, 0.47-1.15; P-trend=0.02) and breast cancer recurrence (HR, 0.71; 95% CI, 0.48-1.06; P-trend=0.02) in stage I-IIIa patients only.
Increasing intake of an 'unhealthy' pre-diagnostic dietary pattern may increase the risk of non-breast cancer mortality, whereas increasing intake of a 'healthy' pattern may reduce the risk of overall mortality and breast cancer recurrence.
关于饮食模式与乳腺癌生存之间关联的研究非常有限。
在德国进行了一项前瞻性随访研究,纳入了 2001-2005 年间诊断的 2522 例绝经后乳腺癌患者,这些患者具有可用的食物频率问卷数据。通过截止 2009 年底的生存状态、死亡原因和复发情况来进行验证。采用主成分因子分析来识别诊断前的饮食模式。使用 Cox 比例风险模型计算风险比(HR)和 95%置信区间(CI)。
确定了两种主要的饮食模式:“健康”(蔬菜、水果、植物油、调味料和汤/肉汤摄入量高)和“不健康”(红肉、加工肉和油炸脂肪摄入量高)。“不健康”饮食模式的消费增加与非乳腺癌死亡率升高相关(最高与最低四分位数相比:HR,3.69;95%CI,1.66-8.17;P 趋势<0.001)。未发现与乳腺癌特异性死亡率和乳腺癌复发相关的结果。“健康”饮食模式与总死亡率呈负相关(HR,0.74;95%CI,0.47-1.15;P 趋势=0.02),仅在 I-IIIa 期患者中与乳腺癌复发呈负相关(HR,0.71;95%CI,0.48-1.06;P 趋势=0.02)。
诊断前“不健康”饮食模式摄入的增加可能会增加非乳腺癌死亡率的风险,而“健康”模式摄入的增加可能会降低总死亡率和乳腺癌复发的风险。