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245463 Fingernail and hair ethyl glucuronide as a long-term alcohol biomarkerMonday, October 31, 2011
Alcohol biomarkers are an important alcohol treatment tool to detect past alcohol consumption and to identify alcohol-related medical conditions. Newer alcohol biomarkers such as ethyl glucuronide (EtG) represent a departure from older alcohol biomarkers in their ability to both detect alcohol specifically and minimal levels of alcohol use even days after consumption. We present results from a study that investigated fingernail and hair EtG as a long-term, up to 90-day, alcohol biomarker. The study sample was a representative group of undergraduate college students (N = 606) aged 18 to 25 who completed an online alcohol use survey and provided fingernail and hair clippings in 2010. The Timeline Followback interview was utilized to collect past 90-day daily drinking information in standard drink units. Logistic regression analysis which controlled for age, gender, and race revealed that total number of standard drinks in the past 90 days significantly predicted a positive fingernail EtG test (β = 0.008, p < .001). A second logistic regression analysis which controlled for age, gender, race, and chemical treatment of hair revealed that total number of standard drinks in the past 90 days significantly predicted a positive hair EtG test (β = 0.008, p < .001) while chemical treatment of hair (predominately female students) predicted a reduced probability of a positive hair EtG test (β = -0.512, p = .05). Newer, long-term alcohol biomarkers such as fingernail EtG (hair as a testing backup) may have gender unbiased utility for future inclusion in public health responses to alcohol-related problems.
Learning Areas:
Other professions or practice related to public healthPlanning of health education strategies, interventions, and programs Provision of health care to the public Learning Objectives:
Presenting author's disclosure statement:
Qualified on the content I am responsible for because: As Associate Scientist/Statistician in the Center for Addiction and Behavioral Health Research (CABHR), I provide data management and statistical support for various NIH-funded research projects. I am qualified to present since I have worked with the study data for over nine months and have conducted the analyses for this poster.
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.
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