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BACKGROUND We sought to compare self-reported alcohol consumption using Timeline Followback (TLFB) to biomarker-based evidence of significant alcohol use (phosphatidylethanol [PEth] > 20 ng/ml). Using data from patients with HIV (PWH) entering a clinical trial, we asked whether TLFB could predict PEth > 20 ng/ml and assessed the magnitude of association between TLFB and PEth level. METHODS We defined unhealthy alcohol use as any alcohol use in the presence of liver disease, at-risk drinking, or alcohol use disorder. Self-reported alcohol use obtained from TLFB interview was assessed as mean number of drinks/day and number of heavy drinking days over the past 21 days. Dried blood spot samples for PEth were collected at the interview. We used logistic regression to predict PEth > 20 ng/ml and Spearman correlation to quantify the association with PEth, both as a function of TLFB. RESULTS Among 282 individuals (99% men) in the analytic sample, approximately two-thirds (69%) of individuals had PEth > 20 ng/ml. The proportion with PEth > 20 ng/ml increased with increasing levels of self-reported alcohol use; of the 190 patients with either at-risk drinking or alcohol use disorder based on self-report, 82% had PEth > 20 ng/ml. Discrimination was better with number of drinks per day than heavy drinking days (AUC: 0.80 [95% CI: 0.74 to 0.85] vs. 0.74 [95% CI: 0.68 to 0.80]). The number of drinks per day and PEth were significantly and positively correlated across all levels of alcohol use (Spearman's R ranged from 0.29 to 0.56, all p values

BACKGROUND: It is widely accepted that the therapeutic alliance (TA) is a mediator of psychotherapy effects, but evidence is sparse that the TA is an actual mechanism of behavior change. The purpose of this study was to provide the first systematic evidence regarding the TA as a mechanism of change in the treatment of alcohol use disorder (AUD). METHODS: Participants were 155 adult men and women presenting for individual outpatient treatment of AUD. Each was randomly assigned to one of 6 experienced therapists, who did or did not receive over 3 study phases post-session participant feedback on his/her ratings of the TA. All participants received a 12-session version of cognitive behavioral therapy for AUD. Participants rated the TA by use of the California Psychotherapy Alliance Scale (CALPAS) and reported their daily alcohol consumption between-sessions and for one year post-treatment by use of the Timeline Followback Interview. Multilevel statistical models that partitioned within- and between-participant effects and between-therapist effects were run to test the effects of feedback condition on the alliance and alcohol use, and the effects of the alliance on alcohol use. RESULTS: The study’s main hypotheses that feedback causes an enhanced therapeutic alliance, and that the alliance is associated with better alcohol use outcomes, were not supported. CONCLUSIONS: Several methodological and substantive reasons for the pattern of findings are suggested, as well as directions for future research that would advance study of the TA as a mechanism of change in psychotherapy and in studying therapist effects on outcomes in general.

BACKGROUND Alcohol contributes to numerous annual deaths and various societal problems not just in adult, but also in adolescent, populations. Therefore, it is vital to find methods for reliably detecting alcohol use for early preventative measures. Research has shown phosphatidylethanol (PEth) to be superior to self-report instruments and indirect biomarkers for alcohol consumption in adult populations. However, the transferability onto an adolescent population has not yet been investigated. METHODS N = 106 adolescents and young adults aged between 13 and 21 years were included. PEth analysis using high-pressure liquid chromatography-tandem mass spectrometry was performed on dried blood spot samples. Self-report questionnaires for alcohol consumption (Alcohol Use Disorders Identification Test-Consumption, AUDIT-C, and Timeline Followback, TLFB) and drug and alcohol consumption (Detection of Alcohol and Drug Problems in Adolescents, DEP-ADO) were completed by each participant. RESULTS AUDIT-C scores showed large correlations with PEth 16:0/18:1 (rs = 0.732) and PEth 16:0/18:2 (rs = 0.661) concentrations. AUDIT-C with a cutoff value ≥3 was largely correlated with PEth 16:0/18:1 (η = 0.411) and showed a medium-sized correlation with PEth 16:0/18:2 (η = 0.397) concentrations. Using an AUDIT-C cutoff value ≥5 showed large correlations with both PEth 16:0/18:1 (η = 0.510) and PEth 16:0/18:2 (η = 0.497) concentrations, respectively. ROC curves indicated higher PEth concentrations are a good model for detecting positive AUDIT-C cutoff values (AUROC range: 0.800 to 0.849). PEth concentrations showed medium to large correlations with DEP-ADO and TLFB subscales (range rs = 0.469 to 0.746). CONCLUSION The results suggest that PEth is a reliable and objective marker for quantifying alcohol consumption in adolescents and young adults. This could be of importance for early preventative measures against hazardous alcohol consumption, which is increasingly common at younger ages.

Objectives The Timeline Followback (TLFB) was originally developed to assess alcohol consumption patterns (American Journal of Public Health, 86, 1996, 966) and has been increasingly modified for Web‐based use. Additionally, new modes of substance use administration have emerged, creating a need for an adaptable TLFB tool than can capture data such as cannabis product potency or prescription drug use. Our goal was to validate an online TLFB that reliably assesses a wide range of substances in greater detail. Methods Using a within‐subjects counterbalanced design, daily substance use data were collected from 50 college students over a 14‐day retrospective period using both the traditional in‐person TLFB and online TLFB (O‐TLFB). Results All substance use variables, including detailed measures of cannabis metrics, correlated significantly (r's ranged from .653 to .944, p, Using a within‐subjects counterbalanced design, a new online Timeline Followback (TLFB) tool was validated against the in‐person TLFB and other measures of substance use. Substance use variables, including detailed measures of cannabis metrics, correlated significantly between TLFB versions, suggesting the new online TLFB is an accessible, versatile, and secure tool for substance use assessment that is relevant to a variety of biomedical and psychological research contexts.

In addition to dichotomous measures of abstinence, smoking studies may use daily cigarette consumption as an outcome variable. These counts hold the promise of more efficient and detailed analyses than dichotomous measures, but present serious quality issues - measurement error and heaping - if obtained by retrospective recall. A doubly-coded dataset with a retrospective recall measurement (timeline followback, TLFB) and a more precise instantaneous measurement (ecological momentary assessment, EMA) serves as a calibration dataset, allowing us to predict EMA given TLFB and baseline factors. We apply this model to multiply impute precise cigarette counts for a randomized, placebo-controlled trial of bupropion with only TLFB measurements available. To account for repeated measurements on a subject, we induce correlation in the imputed counts. Finally, we analyze the imputed data in a longitudinal model that accommodates random subject effects and zero inflation. Both raw and imputed data show a significant drug effect for reducing the odds of non-abstinence and the number of cigarettes smoked among non-abstainers, but the imputed data provide efficiency gains. This method permits the analysis of daily cigarette consumption data previously deemed suspect due to reporting error and is applicable to other self-reported count data sets for which calibration samples are available. Copyright © 2015 John Wiley & Sons, Ltd.

BACKGROUND There is a need for an effective and feasible alcohol screening instrument. The aim of the study was to evaluate how the abbreviated versions of the Alcohol Use Disorders Identification Test (AUDIT) questionnaire perform in comparison with the original AUDIT and what the optimal cutoffs are when screening for heavy drinking among women. METHODS All the 40-year-old women in the city of Tampere, Finland, are invited yearly for a health screening. From 1 year, data from 894 women (response rate 68.2%) invited for a health screening were utilized in the study. The original 10-item AUDIT, AUDIT-C, Five Shot, AUDIT-PC, AUDIT-3, AUDIT-QF, and CAGE were evaluated against the Timeline Followback. Consumption of at least 140 g of absolute ethanol per week on average during the past month was considered heavy drinking. RESULTS In the Timeline Followback, the mean+/-SD weekly reported alcohol consumption was 45+/-67 g (range 0-936 g) of absolute ethanol. Of the women, 6.2% (55/894) were heavy drinkers. The optimal combination of sensitivity and specificity was reached for the AUDIT with cutoff > or =6, for the AUDIT-C with cutoff > or =5, for the Five Shot with cutoff > or =2.0, for the AUDIT-PC with cutoff > or =4, and for the AUDIT-QF with cutoff > or =4. When choosing the optimal cutoffs, the AUDIT-C, the Five Shot, the AUDIT-PC, and the AUDIT-QF performed as well as the 10-item AUDIT. With these cutoffs, sensitivities were 0.84 to 0.93 and specificities were 0.83 to 0.90. The AUDIT-3 and the CAGE did not perform as well as the other questionnaires. CONCLUSIONS The 10-item AUDIT, AUDIT-C, Five Shot, AUDIT-PC, and AUDIT-QF seem to be equally effective tools in screening for heavy drinking among middle-aged women. However, their applicability is achieved only if the cutoffs are tailored according to gender.

The authors evaluated the reliability of two pretreatment assessments (screening and intake) of cigarettes smoked per day (CPD) by the commonly used aggregate method. The validity of the aggregate method was also determined by comparison with results of the timeline followback (TLFB) method for the identical periods. The study participants were 49 outpatients undergoing nicotine patch treatment. The reliability of the two aggregate method evaluations of CPD was quite high by Pearson product-moment correlation (r) and good when based on the intraclass correlation. Correspondence between the CPD assessments based on the aggregate and TLFB methods for the two time-points ranged from fair (screening) to good (intake). Overall, the study findings indicate that the aggregate method provides reasonably consistent data.