临床 AUDIT-C 筛查与高密度脂蛋白胆固醇之间的关系在初级保健患者亚群中均可观察到。

IF 3 Q2 SUBSTANCE ABUSE
Douglas Berger, Theresa E Matson, Malia Oliver, Helen E Jack, Jennifer F Bobb, Katharine A Bradley, Kevin A Hallgren
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引用次数: 0

摘要

背景:酒精使用障碍识别测试-消费(AUDIT-C)是一种经过验证的,过去一年酒精消费的规模标记,越来越多地用于基于人群的筛查和研究。与其他筛选问卷一样,AUDIT-C得分受到患者和系统因素的影响。高密度脂蛋白(HDL)胆固醇随饮酒增加,在初级保健中常规测量。研究人员使用AUDIT-C评分作为结果,可能会使用HDL作为酒精筛查表现的总体水平检查,例如,评估干预后AUDIT-C评分的变化在多大程度上反映了饮酒的变化或自我报告的变化。然而,AUDIT-C评分与HDL之间的关系仅在有限人群中进行了评估。方法:对290,091名Kaiser Permanente Washington初级保健患者进行了审计- c评分与HDL之间的横断面相关性研究,这些患者在常规审计- c筛查前365天或常规筛查后14天进行了HDL测量,作为临床护理的一部分。线性回归模型检验了AUDIT-C评分与HDL之间的关系,并探讨了社会人口学和临床特征对效果的影响。结果:AUDIT-C评分与HDL呈正相关,包括年龄、性别、种族、民族、地理上估计的社会经济地位、心血管疾病、酒精或药物治疗史、吸烟、接受降脂药物治疗的亚组,以及女性患者接受口服雌激素或黄体酮药物治疗的亚组。效应修正分析显示,大多数社会人口学和临床特征修正了AUDIT-C和HDL之间的关联。结论:AUDIT-C和HDL之间的关联存在于一系列社会人口统计学和临床亚组中。然而,社会人口学和临床特征的影响改变可能会限制在异质人群中评估酒精筛查评分有效性时使用该关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Associations between clinical AUDIT-C screens and HDL cholesterol are observed across primary care patient subgroups.

Background: The Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) is a validated, scaled marker of past-year alcohol consumption that is increasingly used in population-based screening and research. Like other screening questionnaires, AUDIT-C scores are influenced by patient and system factors affecting self-report. High-density lipoprotein (HDL) cholesterol increases with alcohol consumption and is routinely measured in primary care. Researchers using AUDIT-C scores as an outcome could potentially use HDL as a population-level check on the performance of alcohol screening, for example, to assess the extent to which changes in AUDIT-C scores after an intervention reflect changes in drinking or changes in self-report. However, the association between AUDIT-C scores and HDL has only been evaluated in limited populations.

Methods: Cross-sectional associations between AUDIT-C scores and HDL were examined in 290,091 Kaiser Permanente Washington primary care patients who had HDL measured as part of clinical care in the 365 days before or 14 days after routine screening with the AUDIT-C. Linear regression models examined the association between AUDIT-C scores and HDL and explored effect modification by sociodemographic and clinical characteristics.

Results: AUDIT-C scores were positively associated with HDL, including for subgroups defined by age, sex, race, ethnicity, geographically estimated socioeconomic status, presence of cardiovascular disease, history of alcohol or drug treatment, tobacco use, receipt of lipid-lowering medications, and, for female patients, receipt of oral estrogen or progestin medications. Effect modification analyses showed that most sociodemographic and clinical characteristics modified the association between AUDIT-C and HDL.

Conclusions: The association between AUDIT-C and HDL is present in a range of sociodemographic and clinical subgroups. However, effect modification by sociodemographic and clinical characteristics may limit the use of that association in assessing the validity of alcohol screening scores across heterogeneous populations.

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