Retrospective Hair Cortisol Concentrations from Pretreatment to Early Recovery in Alcohol Use Disorder.
Retrospective Hair Cortisol Concentrations from Pretreatment to Early Recovery in Alcohol Use Disorder.
复制标题
酒精使用障碍从预处理到早期恢复的回顾性头发皮质醇浓度。
DOI:
10.1093/alcalc/agaa127
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发表时间:
2021
期刊:
影响因子:
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通讯作者:
Nixon,SaraJo
中科院分区:
文献类型:
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作者:
Price,JulianneL;Nixon,SaraJo
Cortisol profiles are known to vary across phases of alcohol use disorder (AUD; e.g. chronic use, withdrawal and early/sustained recovery). These patterns have largely been established through between-subjects contrasts. Using a segmental hair cortisol concentrations (HCC) approach, retrospective longitudinal analyses are feasible. Here, we examine monthly cortisol secretion in treatment-seekers with AUD from alcohol use to abstinence. At ~6 weeks of recovery we collected hair samples from individuals with moderate-to-severe AUD. We examined HCC from three consecutive segments; proximal to the scalp representing the most recent month (sustained abstinence from alcohol), the midsegment representing the previous month in which abstinence was attained, and the distal segment representing 2 months prior during active drinking. Analyses examined main and interactive effects of segment and sex, controlling for monthly alcohol consumption. Best fit by a quadratic shape, within-subject change was significant (F1,15= 5.27,P= 0.04,ηpartial2= 0.26). The distal and midsegments did not differ from one another (P= 0.51). The proximal segment was significantly lower than both the distal (M∆= 0.200,P= 0.004) and mid (M∆= 0.175,P< 0.001) segments. An effect of sex approached significance suggesting women had modestly higher HCC than men (MWOMEN= 1.37 vs.MMEN= 1.02,P= 0.10). Consistent with previous cross-sectional reports, these data confirm nonlinear patterns of cortisol accumulation with elevations apparent during periods of alcohol consumption and a decrease in abstinence. Capturing these within-subject patterns via HCC trajectories may serve as a valuable resource in identifying profiles associated with increased risk and post-treatment outcomes.