Department of Community Health, Brown University, Providence, RI 02903, USA.
J Nutr. 2011 Jul;141(7):1375-80. doi: 10.3945/jn.110.133140. Epub 2011 May 11.
Summary measures of cardiovascular risk have long been used in public health, but few include nutritional predictors despite extensive evidence linking diet and heart disease. Study objectives were to develop and validate a novel risk score in a case-control study of myocardial infarction (MI) conducted in Costa Rica during 1994-2004. After restricting the data set to healthy participants (n = 1678), conditional logistic regression analyses modeled associations of lifestyle factors (unhealthy diet, decreased physical activity, smoking, waist:hip ratio, low or high alcohol intake, and low socioeconomic status) with risk for MI. Using the estimated coefficients as weights for each component, a regression model was fit to assess score performance. The score was subsequently validated in participants with a history of chronic disease. Higher risk score values were associated with a significantly increased risk of MI [OR = 2.72 (95% CI = 2.28-3.24)]. The findings were replicated in a model (n = 1392) that included the best covariate measures available in the study [OR = 2.71 (95% CI = 2.26-3.26)]. Performance of the score in different subsets of the study population showed c-statistics ranging from 0.63 to 0.67. The new score presents a quantitative summary of modifiable cardiovascular risk factors in the study population.
心血管风险的综合指标长期以来一直被用于公共卫生领域,但很少有指标包括营养预测因素,尽管有大量证据表明饮食与心脏病之间存在关联。本研究旨在 1994-2004 年期间在哥斯达黎加进行的心肌梗死(MI)病例对照研究中开发和验证一种新的风险评分。在将数据集限制为健康参与者(n=1678)后,条件逻辑回归分析模型将生活方式因素(不健康的饮食、体力活动减少、吸烟、腰臀比、低或高酒精摄入以及低社会经济地位)与 MI 风险之间的关联进行建模。使用估计的系数作为每个组成部分的权重,拟合回归模型以评估评分表现。随后在患有慢性疾病的参与者中验证了该评分。较高的风险评分值与 MI 的风险显著增加相关[OR=2.72(95%CI=2.28-3.24)]。在包括研究中可用的最佳协变量测量值的模型(n=1392)中也得到了该发现的验证[OR=2.71(95%CI=2.26-3.26)]。评分在研究人群不同亚组中的表现显示 C 统计量范围在 0.63 至 0.67 之间。新评分提出了研究人群中可改变的心血管危险因素的定量综合指标。