[The use of discriminant analysis in the classification of the alcohol intake in a general adult population].

C Roggi, L Maccarini, E Merlo, S Silva, C Minoia
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Abstract

Different studies have highlighted the efficacy of some laboratory parameters as markers of the abuse of alcohol in alcoholics populations. The intent of the present study has been to verify if the same variables are able to discriminate the intake of alcohol also in a general population. The survey has been carried out on 510 subjects (224 males and 286 females), between 20 and 70 years old, living in a rural area in the North of Italy. Statistically relevant differences have been found amongst mean values of mean globular volume (VGM), containing hemoglobin (MCH), gamma-glutamil transferase (GGT), HDL cholesterol (ColHDL), tryglycerides, apoproteins-A (APO-A), serum glutamic-ossalacetic transaminase (SGOT), leukocyte, lead blood level in subgroups of population stratified according to drinking habits (heavy, moderate and medium drinkers). The discriminant function analysis, applied using all the 18 parameters as continuous variables, allows the correct classification of 57.84% of the cases amongst moderate, medium and heavy drinkers. The most influent selected variables result lead blood level, GGT, hematocrit and MCH. If we leave out the lead blood level (not weighted as a routine) the percentage falls to 52.35%. The analysis carried out on "extreme" groups (moderate and heavy drinkers) identifies as most influent the lead blood level, GGT, APO-A, and VGM variables, allowing the correct classification of 90.14% of the cases (83.39% excluding the lead blood level, selecting GGT, hematocrit, VGM and serum glutammic-piruvic transaminase. The casual reselection of samples confirms the obtained data, giving evidence of the independence of the used variables from particular characteristics of the sampled population.(ABSTRACT TRUNCATED AT 250 WORDS)

[在普通成年人酒精摄入量分类中使用判别分析]。
不同的研究强调了一些实验室参数作为酗酒人群滥用酒精的标志的功效。本研究的目的是验证相同的变量是否也能在一般人群中区分酒精摄入量。这项调查共有510人参与,其中男性224人,女性286人,年龄在20岁到70岁之间,居住在意大利北部的一个农村地区。在按饮酒习惯(重度、中度和中度饮酒者)分层的人群亚组中,平均球体积(VGM)、含血红蛋白(MCH)、γ -谷氨酰胺转移酶(GGT)、高密度脂蛋白胆固醇(ColHDL)、甘油三酯、载脂蛋白- a (APO-A)、血清谷氨转氨酶(SGOT)、白细胞、血铅水平的平均值之间存在统计学上的相关差异。使用所有18个参数作为连续变量进行判别函数分析,可以对中度、中度和重度饮酒者中的57.84%的病例进行正确分类。影响最大的选择变量为血铅水平、GGT、红细胞压积和MCH。如果我们忽略血铅水平(不作为常规加权),百分比下降到52.35%。在“极端”人群(中度和重度饮酒者)中进行的分析确定了对血铅水平、GGT、APO-A和VGM变量影响最大,90.14%的病例(排除血铅水平,选择GGT、血细胞比容、VGM和血清谷氨酸转氨酶)的正确分类率为83.39%。随机重新选择的样本证实了所获得的数据,证明了所使用的变量与样本总体的特定特征无关。(摘要删节250字)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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