PMID- 37986705 OWN - NLM STAT- Publisher LR - 20240521 IS - 1942-7611 (Electronic) IS - 1942-7603 (Print) IS - 1942-7603 (Linking) DP - 2023 Nov 20 TI - A multivariable analysis delineating hair color, hair dyeing, and hat wearing as predictors of level of cocaine and MDMA detection in human hair samples. LID - 10.1002/dta.3607 [doi] AB - Research suggests that hair color, hair dyeing, and perspiration can bias hair test results regarding drug exposure, but research is needed to examine such associations in a multivariable manner. In this epidemiology study, adults were surveyed entering nightclubs and dance festivals in New York City, and 328 provided hair samples, which were analyzed using ultra-high-performance liquid chromatography-tandem mass spectrometry to determine the level of detection of cocaine and 3,4-methylenedioxymethamphetamine (MDMA). Reporting use was not an inclusion criterion for analysis. We used two-part multivariable models to delineate associations of hair color, past-year hair dyeing, and frequency of past-month hat wearing (which may increase perspiration) in relation to any vs. no detection of cocaine and MDMA as well as level of detection, controlling for hair length, self-reported past-year cocaine/ecstasy/MDMA use, and age, sex, and race/ethnicity. Those reporting having dyed their hair were at increased odds of having any level of cocaine detected (adjusted odds ratio [aOR] = 3.75, 95% CI confidence interval [CI]: 1.85-6.70), and compared to those with brown hair, those with blond(e) hair on average had lower levels of cocaine (ng/mg) detected (beta = -7.97, p = 0.025). Those reporting having dyed their hair were at increased odds of having any level of MDMA detected (aOR = 3.05, 95% CI: 1.44-6.48), and compared to those who reported never wearing a hat, those who reported wearing a hat daily or almost daily on average had lower levels of MDMA (ng/mg) detected (beta = -6.61, p = 0.025). This study demonstrates the importance of using multivariable models to delineate predictors of drug detection. CI - (c) 2023 John Wiley & Sons, Ltd. FAU - Palamar, Joseph J AU - Palamar JJ AUID- ORCID: 0000-0002-8565-9415 AD - Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA. AD - Center for Drug Use and HIV/HCV Research, School of Global Public Health, New York University, New York, NY, USA. FAU - Cleland, Charles M AU - Cleland CM AD - Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA. AD - Center for Drug Use and HIV/HCV Research, School of Global Public Health, New York University, New York, NY, USA. FAU - Vincenti, Marco AU - Vincenti M AUID- ORCID: 0000-0002-6275-7194 AD - Department of Chemistry, University of Turin, Turin, Italy. AD - Centro Regionale Antidoping, Orbassano, Italy. FAU - Salomone, Alberto AU - Salomone A AD - Department of Chemistry, University of Turin, Turin, Italy. AD - Centro Regionale Antidoping, Orbassano, Italy. LA - eng GR - R01DA057289/DA/NIDA NIH HHS/United States GR - P30 DA011041/DA/NIDA NIH HHS/United States GR - R01 DA057289/DA/NIDA NIH HHS/United States GR - R01 DA044207/DA/NIDA NIH HHS/United States GR - R01DA044207/DA/NIDA NIH HHS/United States GR - P30DA01104/DA/NIDA NIH HHS/United States PT - Journal Article DEP - 20231120 PL - England TA - Drug Test Anal JT - Drug testing and analysis JID - 101483449 SB - IM PMC - PMC11102931 MID - NIHMS1946722 OTO - NOTNLM OT - MDMA OT - cocaine OT - hair color OT - hair testing COIS- CONFLICT OF INTEREST STATEMENT The authors declare no conflicts of interest. EDAT- 2023/11/21 06:42 MHDA- 2023/11/21 06:42 PMCR- 2025/05/20 CRDT- 2023/11/21 05:02 PHST- 2023/08/28 00:00 [revised] PHST- 2023/07/10 00:00 [received] PHST- 2023/11/01 00:00 [accepted] PHST- 2025/05/20 00:00 [pmc-release] PHST- 2023/11/21 06:42 [medline] PHST- 2023/11/21 06:42 [pubmed] PHST- 2023/11/21 05:02 [entrez] AID - 10.1002/dta.3607 [doi] PST - aheadofprint SO - Drug Test Anal. 2023 Nov 20:10.1002/dta.3607. doi: 10.1002/dta.3607.