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首页> 外文期刊>The American Journal of Cardiology >Obesity paradox rethinking: Do unequal sample sizes and racial differences matter?
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Obesity paradox rethinking: Do unequal sample sizes and racial differences matter?

机译:肥胖悖论的反思:不平等的样本量和种族差异重要吗?

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We recently read the report by Herrmann et al about body mass index (BMI) and its association with patients prognosis after acute myocardial infarction with great interest. According to our knowledge, in most similar previous studies, the study population was divided into 4 groups by standard categories of BMI: lean (< 18.5 or 20 kg/ m2), normal weight (18.5 or 20 to 25 kg/m2), overweight (25 to 30 kg/m2), and obese (>30 kg/m2). This grouping strategy did make sense but led to highly unequal sample sizes between groups. For example, in the report by Li et al,2 among 1,429 patients recruited, only 15 patients (0.98%) were lean and only 189 patients (13.4%) were obese. Similarly in the report by Kaneko et al,3 there were only 92 lean patients (7.6%) and 56 obese patients (4.6%) among the study population of 1,205 patients.
机译:我们最近非常感兴趣地阅读了Herrmann等人关于体重指数(BMI)及其与急性心肌梗死后患者预后的关系的报告。据我们所知,在以前的大多数类似研究中,按BMI的标准类别将研究人群分为4组:瘦(<18.5或20 kg / m2),正常体重(18.5或20至25 kg / m2),超重(25至30公斤/平方米)和肥胖(> 30公斤/平方米)。这种分组策略确实有意义,但导致组之间的样本量高度不相等。例如,在Li等人的报告2中,在招募的1,429位患者中,只有15位患者(0.98%)是瘦型的,只有189位患者(13.4%)是肥胖的。同样,在Kaneko等人的报告中3,在1,205名患者的研究人群中,只有92名瘦肉患者(7.6%)和56名肥胖患者(4.6%)。

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