Sociodemographic and clinical factors associated with transdermal alcohol concentration from the SCRAM biosensor among persons living with and without HIV.
Sociodemographic and clinical factors associated with transdermal alcohol concentration from the SCRAM biosensor among persons living with and without HIV.
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社会人口学和临床因素与经皮酒精浓度从SCRAM生物传感器之间的人与艾滋病毒和非艾滋病毒。
DOI：
10.1111/acer.14665
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发表时间：
2021-09
期刊：
影响因子：
--
通讯作者：
Wang Y
中科院分区：
文献类型：
--
作者：
Richards VL;Liu Y;Orr J;Leeman RF;Barnett NP;Bryant K;Cook RL;Wang Y
透皮酒精生物传感器可以通过测量透皮酒精浓度（TAC）来客观监测酒精的使用情况。然而，目前尚不清楚影响酒精代谢的社会人口学和临床因素如何与TAC相关。本研究的主要目的是在控制酒精使用水平的同时，研究社会人口学因素（性别、年龄、种族/民族）和临床因素（体重指数、肝酶：丙氨酸转氨酶（ALT）和天冬氨酸转氨酶（AST））、酒精使用障碍和HIV状态)与TAC的关系。我们分析了一项前瞻性研究的数据，该研究涉及使用安全连续远程酒精监测（SCRAM）生物传感器对人类免疫缺陷病毒（HIV）感染者和非HIV感染者戒酒的应急管理。43名参与者（年龄为56.6岁，63%为男性，58%为艾滋病毒携带者）的饮酒天数达到了183天。从SCRAM得出的两个指标：TAC峰值（反映醉酒水平）和TAC曲线下面积（TAC- auc；反映酒精量）是主要结果。自我报告的酒精使用（饮酒量/饮酒日）是主要的预测因子。为了检查感兴趣的因素是否与TAC相关，我们使用了个体广义估计方程（GEE），然后使用了一个多变量GEE模型来包括所有重要的预测因子，以检查它们与TAC的关联，而不是自我报告的酒精使用的影响。每日饮酒量（B=0.29, p<0.01）和AST升高（B=0.50, p=0.01）是TAC峰值的显著预测因子。在双变量水平上，HIV阳性状态、女性性别、AST升高和每天饮酒数量与TAC-AUC呈正相关；而在多变量水平上，只有自我报告的酒精使用（B=0.85, p<0.0001）和女性性别（B=0.67, p<0.05）是TAC-AUC的显著预测因子。HIV状态与TAC没有独立的关系。未来的研究在使用酒精生物传感器测量酒精使用时应考虑受试者的性别和肝功能。
Transdermal alcohol biosensors can objectively monitor alcohol use by measuring transdermal alcohol concentration (TAC). However, it is unclear how sociodemographic and clinical factors that influence alcohol metabolism are associated with TAC. The main aim of this study was to examine how sociodemographic factors (sex, age, race/ethnicity) and clinical factors (body mass index, liver enzymes: alanine aminotransferase [ALT] and aspartate transaminase [AST]), alcohol use disorder, and HIV status) were associated with TAC while controlling for level of alcohol use. We analyzed data from a prospective study involving contingency management for alcohol cessation among persons living with and without human immunodeficiency virus (HIV) that used the Secure Continuous Remote Alcohol Monitoring (SCRAM) biosensor. Forty-three participants (Mage=56.6 years; 63% male; 58% people living with HIV) yielded 183 SCRAM-detected drinking days. Two indices derived from SCRAM: peak TAC (reflects level of intoxication) and TAC area under the curve (TAC-AUC; reflects alcohol volume)— were the main outcomes. Self-reported alcohol use (drinks/drinking day) measured by Timeline Followback was the main predictor. To examine whether factors of interest were associated with TAC, we used individual Generalized Estimating Equations (GEE), followed by a multivariate GEE model to include all significant predictors to examine their associations with TAC beyond the effect of self-reported alcohol use. Number of drinks per drinking day (B=0.29, p<0.01) and elevated AST (B=0.50, p=0.01) were significant predictors of peak TAC. Positive HIV status, female sex, elevated AST, and number of drinks per drinking day were positively associated with TAC-AUC at the bivariate level; whereas only self-reported alcohol use (B=0.85, p<0.0001) and female sex (B=0.67, p<0.05) were significant predictors of TAC-AUC at the multivariate level. HIV status was not independently associated with TAC. Future studies should consider the sex and liver function of the participant when using alcohol biosensors to measure alcohol use.
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DOI：
10.1111/add.13767
发表时间：
2017-06
期刊：
Addiction (Abingdon, England)
影响因子：
--
作者：
Barnett NP;Celio MA;Tidey JW;Murphy JG;Colby SM;Swift RM
通讯作者：
Swift RM
影响因子：
4.4
作者：
Luczak, Susan E.;Hawkins, Ashley L.;Rosen, I. Gary
通讯作者：
Rosen, I. Gary
影响因子：
2.3
作者：
Dougherty, Donald M.;Charles, Nora E.;Hill-Kapturczak, Nathalie
通讯作者：
Hill-Kapturczak, Nathalie
在大型多种族基因组的关联研究中，饮酒差异的遗传因素因种族/种族而异。
影响因子：
11
作者：
Jorgenson E;Thai KK;Hoffmann TJ;Sakoda LC;Kvale MN;Banda Y;Schaefer C;Risch N;Mertens J;Weisner C;Choquet H
通讯作者：
Choquet H
DOI：
10.1111/j.1530-0277.2001.tb02242.x
发表时间：
2001-04-01
影响因子：
3.2
作者：
Baraona, E;Abittan, CS;Lieber, CS
通讯作者：
Lieber, CS