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Alexithymia is a vulnerability factor for physical and mental illness that can significantly influence the daily function of alcohol-dependent patients. The aim of this study was to examine the indirect effect of obsessive thoughts and compulsive behaviors involving alcohol craving on the relationship between alexithymia, quality of life (QoL) of psychological well-being and health status. Three hundred and eighty-one outpatients (263 males and 118 females) in treatment for alcohol dependence completed self-report measures of alexithymia, alcohol craving, GHQ-28 (QoL-psychological well-being) and SF-36 (QoL-health status). Males scored significantly higher than females on aspects of alexithymia, and females reported significantly higher levels of alcohol craving. Path analysis showed an indirect effect of alcohol craving on the relationship between alexithymia, QoL-psychological well-being and self-reported QoL-health status for males only. The current study provides important new information about impaired self-reported health status and well-being among male alcohol-dependent treatment seekers with alexithymia.

Background: Alexithymia is a personality trait associated with emotion regulation difficulties. Up to 67% of alcohol-dependent patients in treatment have alexithymia. Objectives: The objective of this study was to investigate the direct and indirect effects of alexithymia, negative mood (stress, anxiety, and depression) and alcohol craving on alcohol dependence severity. Methods: Three hundred and fifty-five outpatients (mean age = 38.70, SD = 11.00, 244 males, range 18-71 years) undergoing Cognitive-Behavioral Therapy for alcohol dependence completed the Toronto Alexithymia Scale (TAS-20), Depression Anxiety Stress Scales (DASS-21), Obsessive Compulsive Drinking Scale (OCDS), and Alcohol Use Disorders Identification Test (AUDIT) prior to the first treatment session. Results: Alexithymia had an indirect effect on alcohol dependence severity, via both negative mood and alcohol craving (b = 0.03, seb = 0.008, 95% CI: 0.02-0.05). An indirect effect of negative mood on alcohol dependence via alcohol craving was also observed (b = 0.12, seb = 0.03, 95% CI: 0.07-0.16). Conclusions/importance: Alexithymia worked through negative mood and alcohol craving leading to increased alcohol dependence severity, indicating that craving had an indirect effect on the relationship between alexithymia and alcohol dependence severity. Targeting alcohol craving and negative mood for alcohol-dependent patients with alexithymia seems warranted.

Alexithymia and alcohol outcome expectancies were investigated in 355 alcohol-dependent treatment seekers. Patients with alexithymia gave stronger self-report ratings of expectancies of affective change related to beliefs that alcohol leads to negative mood states and assertion, that alcohol enhances social skills, compared to those without alexithymia. The findings suggest that alcohol-dependent outpatients with alexithymia may drink to experience intensified negative emotions and improved social functioning.

Alexithymia is characterized by difficulty identifying feelings, difficulty describing feelings, and an externally oriented thinking style. Alexithymia has been described as a trait-like risk factor for the development of alcohol use disorders. Few studies have investigated the absolute (whether mean scores change over time) and relative (extent to which relative differences among individuals remain the same over time) stability of alexithymia among men and women with alcohol dependence, or have considered potential underlying mechanisms. Social learning processes contribute to and maintain alcohol problems. The reinforcement of alcohol expectancies is one plausible mechanism that links the difficulties in emotional processing associated with alexithymia and alcohol use. The present study investigated the stability of alexithymia as well as alcohol expectancy as a mediator of alexithymia. Three hundred fifty-five alcohol-dependent patients were enrolled in a cognitive behavioral treatment program. Ninety-two alcohol-dependent patients completed assessments at baseline and at 3-month follow-up. Results indicated that total Toronto Alexithymia Scale (TAS-20; Bagby, Parker, & Taylor, 1994) mean score, difficulty identifying feelings, and difficulty describing feelings decreased significantly over time with a larger decrease in alexithymia mean scores for females. Externally oriented thinking mean scores did not change. The TAS-20 and its subfactors demonstrated significant correlations, from baseline to follow-up, which were stronger for males than for females. Regression analyses showed that the total TAS-20 mean scores, difficulty identifying feelings, and difficulty describing feelings were partially mediated through assertion alcohol expectancies. In conclusion, this suggests that alexithymia has relative stability and is a trait-like factor among alcohol-dependent treatment seekers.

Abstract: Background: Up to fifty percent of alcohol dependent individuals have alexithymia, a personality trait characterised by difficulties identifying and describing feelings, a lack of imagination and an externalised cognitive style. Although studies have examined alexithymia in relation to alcohol dependence, no research exists on mechanisms underlying this relationship. The present study examined the mediational effect of alcohol expectancies on alexithymia and alcohol dependence. Methods: 230 outpatients completed the Toronto Alexithymia Scale (TAS-20), the Drinking Expectancy Questionnaire (DEQ) and the Alcohol Use Disorder Identification Test (AUDIT). Results: Regression analysis showed that alexithymia and alcohol dependence was, in two of three cases, partially mediated through alcohol expectancy. Conclusions: Alcohol expectancies of assertion and affective change show promise as mediators of alcohol dependence in individuals with alexithymia. [Copyright &y& Elsevier]

Background: The Obsessive Compulsive Drinking Scale [OCDS; Anton et al., Alcohol Clin Exp Res 19 (1995), 92 ] is the most widely used measure of alcohol craving. There are no studies which comprehensively investigate the construct and concurrent validity of the OCDS in a severe alcohol dependent population. Methods: Three hundred and seventy alcohol-dependent patients were referred to a hospital-based alcohol treatment program. All participants completed the OCDS, the Alcohol Use Disorders Identification Test [AUDIT; Saunders et al., Addiction 88 (1993), 791 ] and provided demographic and alcohol consumption data. Results: The sample was randomly split into 2. Exploratory factor analysis and confirmatory factor analysis were conducted on these subsamples. Both analyses identified a 4-factor solution (compulsions, interference, obsessions and resisting obsessions). All factors showed sound internal consistency. Neither the factor scores nor the total OCDS score was related to baseline alcohol problems (AUDIT) or consumption. Conclusions: There was some support for the construct validity of the OCDS in this clinical group. Concurrent validity of the scale was not supported by these cross-sectional data. Future research should examine the predictive utility of the OCDS over time. [ABSTRACT FROM AUTHOR]

Objective: Cognitive–behavioural therapy (CBT) has been effectively used in the treatment of alcohol dependence. Clinical studies report that the anticraving drug naltrexone, is a useful adjunct to treatment. Currently, few data are available on the impact of adding this medication to programmes in more typical, outpatient, and rehabilitation settings. The objective of this study was to examine the impact on outcome of adding naltrexone to an established outpatient alcohol rehabilitation program which employed CBT. Method: Fifty patients participated in an established 12-week, outpatient, ‘contract’-based alcohol abstinence programme which employed CBT. They also received naltrexone 50 mg orally daily (CBT + naltrexone). Outcomes were compared with 50 historical, matched controls, all of whom participated in the same programme without an anticraving medication (CBT alone). All patients met DSM-IV criteria for alcohol dependence. Results: Programme attendance across the eight treatment sessions was lower in the CBT alone group (p < 0.001). Relapse to alcohol use occurred sooner and more frequently in the CBT alone group (p < 0.001). Rehabilitation programme completion at 12 weeks was 88% (CBT + naltrexone) compared with 36% for (CBT alone) (p < 0.001). Alcohol abstinence at 12 weeks was 76% (CBT + naltrexone) compared with 18% (CBT alone) (p < 0.001). Conclusion: When employing the same outpatient rehabilitation programme and comparing outcomes using matched historical controls, the addition of naltrexone substantially improves programme attendance, programme completion and reported alcohol abstinence. In a typical outpatient programme, naltrexone addition was associated with significantly improved programme participation, better outcomes and was well tolerated. [ABSTRACT FROM AUTHOR]

Abstract: Confirmatory factor analyses were conducted to evaluate the factorial validity of the Toronto Alexithymia Scale in an alcohol-dependent sample. Several factor models were examined, but all models were rejected given their poor fit. A revision of the TAS-20 in alcohol-dependent populations may be needed. [ABSTRACT FROM AUTHOR]

Background and Objectives: Clinical staff providing addiction treatment predict patient outcome poorly. Prognoses based on linear statistics are rarely replicated. Addiction is a complex non-linear behavior. Incorporating non-linear models, Machine Learning (ML) has successfully predicted treatment outcome when applied in other areas of medicine. Using identical assessment data across the two groups, this study compares the accuracy of ML models versus clinical staff to predict alcohol dependence treatment outcome in behavior therapy using patient data only.Methods: Machine learning models (n = 28) were constructed ('trained') using demographic and psychometric assessment data from 780 previously treated patients who had undertaken a 12 week, abstinence-based Cognitive Behavioral Therapy program for alcohol dependence. Independent predictions applying assessment data for an additional 50 consecutive patients were obtained from 10 experienced addiction therapists and the 28 trained ML models. The predictive accuracy of the ML models and the addiction therapists was then compared with further investigation of the 10 best models selected by cross-validated accuracy on the training-set. Variables selected as important for prediction by staff and the most accurate ML model were examined.Results: The most accurate ML model (Fuzzy Unordered Rule Induction Algorithm, 74%) was significantly more accurate than the four least accurate clinical staff (51%-40%). However, the robustness of this finding may be limited by the moderate area under the receiver operator curve (AUC = 0.49). There was no significant difference in mean aggregate predictive accuracy between 10 clinical staff (56.1%) and the 28 best models (58.57%). Addiction therapists favoured demographic and consumption variables compared with the ML model using more questionnaire subscales.Conclusions: The majority of staff and ML models were not more accurate than suggested by chance. However, the best performing prediction models may provide useful adjunctive information to standard clinically available prognostic data to more effectively target treatment approaches in clinical settings. [ABSTRACT FROM AUTHOR]