Division of Constitutional Medicine/Diagnosis Research Group, Korea Institute of Oriental Medicine, 1672 Yuseongdae-ro, Yuseong-gu, Daejeon 305-811, Republic of Korea.
Evid Based Complement Alternat Med. 2012;2012:398759. doi: 10.1155/2012/398759. Epub 2012 Jun 25.
Objectives. Body measurement plays a pivotal role not only in the diagnosis of disease but also in the classification of typology. Sasang constitutional medicine, which is one of the forms of Traditional Korean Medicine, is considered to be strongly associated with body shape. We attempted to determine whether a Sasang constitutional analytic tool based on body shape information (SCAT-B) could predict Sasang constitution (SC). Methods. After surveying 23 Oriental medical clinics, 2,677 subjects were recruited and body shape information was collected. The SCAT-Bs for males and females were developed using multinomial logistic regression. Stepwise forward-variable selection was applied using the score statistic and Wald's test. Results. The predictive rates of the SCAT-B for Tae-eumin (TE), Soeumin (SE), and Soyangin (SY) types in males and females were 80.2%, 56.9%, and 37.7% (males) and 69.3%, 38.9%, and 50.0% (females) in the training set and were 74%, 70.1%, and 35% (males), and 67.4%, 66.3%, and 53.7% (females) in the test set, respectively. Higher constitutional probability scores showed a trend for association with higher predictability. Conclusions. This study shows that the Sasang constitutional analytic tool, which is based on body shape information, may be relatively highly predictive of TE type but may be less predictive when used for SY type.
目的。人体测量不仅在疾病诊断中起着关键作用,而且在分型分类中也起着关键作用。作为传统韩医学的一种形式的萨桑体质医学被认为与体型密切相关。我们试图确定基于体型信息的萨桑体质分析工具(SCAT-B)是否可以预测萨桑体质(SC)。
方法。在调查了 23 家东方医学诊所后,共招募了 2677 名受试者,并收集了体型信息。使用多项逻辑回归为男性和女性开发了 SCAT-B。使用得分统计和 Wald 检验进行逐步向前变量选择。
结果。男性和女性的 Tae-eumin(TE)、Soeumin(SE)和 Soyangin(SY)体型的 SCAT-B 的预测率在训练集中分别为 80.2%、56.9%和 37.7%(男性)和 69.3%、38.9%和 50.0%(女性),在测试集中分别为 74%、70.1%和 35%(男性)和 67.4%、66.3%和 53.7%(女性)。较高的体质概率得分与较高的可预测性呈正相关。
结论。这项研究表明,基于体型信息的萨桑体质分析工具可能对 TE 型具有较高的预测性,但对 SY 型的预测性可能较低。