Diet quality is associated with the risk of estrogen receptor-negative breast cancer in postmenopausal women.
Diet quality is associated with the risk of estrogen receptor-negative breast cancer in postmenopausal women.
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DOI：
10.1093/jn/136.2.466
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发表时间：
2006-02-01
影响因子：
4.2
通讯作者：
Holmes, MD
中科院分区：
文献类型：
--
作者：
Fung, TT;Hu, FB;Holmes, MD
新出现的证据表明，饮食质量指数可以作为疾病的预后指标。然而，这些指标预测乳腺癌风险的能力之前尚未进行过评估。我们评估了几种饮食质量评分与绝经后妇女患乳腺癌风险之间的关系。我们使用的指数是健康饮食指数（HEI），替代健康饮食指数（AHEI），饮食质量指数修订版（DQI-R），推荐食物评分（RFS）和替代地中海饮食评分（aMed）。我们从1984年至1998年在护士健康研究队列中的女性中进行了5次FFQ的饮食信息中计算饮食质量指数。使用考克斯比例风险模型计算相对风险（RR），并根据已知的乳腺癌风险因素进行调整。对雌激素受体阳性（ER+）和阴性（ER-）肿瘤进行单独分析。1984年至2002年，我们记录了3580例乳腺癌，其中2367例ER+，575例ER-。我们没有观察到饮食质量指数与总的或ER+乳腺癌风险之间的任何关联。然而，对于ER-乳腺癌，在调整了潜在的混杂因素后，最高与最低五分位数的FIR为0.78（95% CI = 0.59-1.04，趋势P = 0.01）AHEI，0.69 RFS（95% CI = 0.51-0.94，趋势P = 0.003）和aMed（0.79，95% CI = 0.60-1.03，趋势P = 0.03）。这些观察结果似乎是与得分的蔬菜成分负相关（趋势P = 0.01）的结果。我们得出结论，在AHEI、RFS和aMed中得分高的女性患ER-乳腺癌的风险较低。HEI和DQI-R在预测乳腺癌风险方面的价值有限。
Emerging evidence suggests that diet quality indices may serve as prognostic indicators of disease. However, the ability of these indices to predict breast cancer risk has not been evaluated previously. We assessed the association between several diet quality scores and the risk of breast cancer in postmenopausal women. The indices we used were the Healthy Eating Index (HEI), Alternate Healthy Eating Index (AHEI), Diet Quality Index-Revised (DQI-R), Recommended Food Score (RFS), and the alternate Mediterranean Diet Score (aMed). We calculated diet quality indices from dietary information collected in FFQ administered 5 times between 1984 and 1998 among women in the Nurses' Health Study cohort. Relative risks (RR) were computed using Cox proportional hazards models and adjusted for known risk factors for breast cancer. Separate analyses were conducted for estrogen receptor positive (ER+) and negative (ER-) tumors. Between 1984 and 2002, we documented 3580 cases of breast cancer, of which 2367 were ER+, and 575 were ER-. We did not observe any association between the diet quality indices and total or ER+ breast cancer risk. However, for ER- breast cancer, after adjusting for potential confounders, the FIR comparing highest to lowest quintiles were 0.78 (95% Cl = 0.59-1.04, P for trend = 0.01) for the AHEI, 0.69 (95% Cl = 0.51-0.94, P for trend = 0.003) for the RFS, and 0.79 (95% Cl = 0.60-1.03, P for trend = 0.03) for the aMed. These observations appeared to be the result of an inverse association (P for trend = 0.01) with the vegetable component of the scores. We conclude that women who scored high in AHEI, RFS, and aMed had a lower risk of ER- breast cancer. The HEI and DQI-R appeared to be of limited value in predicting breast cancer risk.