Hill-Kapturczak Nathalie, Roache John D, Liang Yuanyuan, Karns Tara E, Cates Sharon E, Dougherty Donald M
Department of Psychiatry, The University of Texas Health Science Center at San Antonio, NRLC MC 7793, 7703 Floyd Curl Drive, San Antonio, TX, 78229-3900, USA.
Psychopharmacology (Berl). 2015 Jan;232(1):115-23. doi: 10.1007/s00213-014-3644-9. Epub 2014 Jun 13.
Previously, we reported methods to estimate peak breath alcohol concentrations (BrAC) from transdermal alcohol concentrations (TAC) under conditions where alcohol consumption was controlled to produce similar BrAC levels in both sexes.
This study characterized differences in the relationship between BrAC and TAC as a function of sex and developed a model to predict peak BrAC that accounts for known sex differences in peak BrAC.
TAC and BrAC were monitored during the consumption of a varying number of beers on different days. Both men (n=11) and women (n=10) consumed one, two, three, four, and five beers at the same rate in a 2-h period. Sex and sex-related variables were considered for inclusion in a multilevel model to develop an equation to estimate peak BrAC levels from TAC.
While peak BrAC levels were significantly higher in women than men, sex differences were not significant in observed TAC levels. This lack of correspondence was evidenced by significant sex differences in the relationship between peak TAC and peak BrAC. The best model to estimate peak BrAC accounted for sex-related differences by including peak TAC, time-to-peak TAC, and sex. This model was further validated using previously collected data.
The relationship between peak TAC and actual peak BrAC differs between men and women, and these differences can be accounted for in a statistical model to better estimate peak BrAC. Further studies are required to extend these estimates of peak BrAC to the outpatient environment where naturalistic drinking occurs.
此前,我们报告了在控制酒精摄入量以使男女的呼气酒精浓度峰值(BrAC)水平相似的条件下,从经皮酒精浓度(TAC)估算BrAC峰值的方法。
本研究描述了BrAC与TAC之间关系随性别变化的差异,并建立了一个预测BrAC峰值的模型,该模型考虑了已知的BrAC峰值性别差异。
在不同日期饮用不同数量啤酒的过程中监测TAC和BrAC。男性(n = 11)和女性(n = 10)在2小时内以相同速率分别饮用一、二、三、四和五瓶啤酒。将性别及与性别相关的变量纳入多级模型,以建立从TAC估算BrAC峰值水平的方程。
虽然女性的BrAC峰值水平显著高于男性,但观察到的TAC水平在性别上无显著差异。TAC峰值与BrAC峰值之间的关系存在显著性别差异,证明了这种不对应性。估算BrAC峰值的最佳模型通过纳入TAC峰值、达到TAC峰值的时间和性别来解释与性别相关的差异。该模型使用先前收集的数据进一步验证。
男性和女性的TAC峰值与实际BrAC峰值之间的关系不同,这些差异可在统计模型中得到解释,以更好地估算BrAC峰值。需要进一步研究将这些BrAC峰值估算扩展到自然饮酒的门诊环境。