Prise en charge des patients avec des problèmes d'alcool: quelle efficacité? Quelques éléments de réponse à partir d'une revue de la littérature [Management of patients with alcohol problems: how effective? Several response factors based on a review of the literature]

What do we know about the effectiveness of various treatments of alcoholism? This review of literature shows that lack--or weaknesses--of published studies make it impossible to draw definite conclusions. Rigorous controlled studies show high rates of spontaneous remission and important uncertainties about specialised treatments of alcoholism. However, except for severe dependence that may well require a different approach, brief interventions conducted by non-specialists have proved highly effective for at-risk alcohol drinkers: based on minimal medical advice, they increase the chances of lowering alcohol consumption. General practitioners may thus represent on important link in the therapeutic chain.

Quality of life depends on the drinking pattern in alcohol-dependent patients.

AIMS: In patients with alcohol dependence, health-related quality of life (QOL) is reduced compared with that of a normal healthy population. The objective of the current analysis was to describe the evolution of health-related QOL in adults with alcohol dependence during a 24-month period after initial assessment for alcohol-related treatment in a routine practice setting, and its relation to drinking pattern which was evaluated across clusters based on the predominant pattern of alcohol use, set against the influence of baseline variables METHODS: The Medical Outcomes Study 36-Item Short-Form Survey (MOS-SF-36) was used to measure QOL at baseline and quarterly for 2 years among participants in CONTROL, a prospective observational study of patients initiating treatment for alcohol dependence. The sample consisted of 160 adults with alcohol dependence (65.6% males) with a mean (SD) age of 45.6 (12.0) years. Alcohol use data were collected using TimeLine Follow-Back. Based on the participant's reported alcohol use, three clusters were identified: 52 (32.5%) mostly abstainers, 64 (40.0%) mostly moderate drinkers and 44 (27.5%) mostly heavy drinkers. Mixed-effect linear regression analysis was used to identify factors that were potentially associated with the mental and physical summary MOS-SF-36 scores at each time point. RESULTS: The mean (SD) MOS-SF-36 mental component summary score (range 0-100, norm 50) was 35.7 (13.6) at baseline [mostly abstainers: 40.4 (14.6); mostly moderate drinkers 35.6 (12.4); mostly heavy drinkers 30.1 (12.1)]. The score improved to 43.1 (13.4) at 3 months [mostly abstainers: 47.4 (12.3); mostly moderate drinkers 44.2 (12.7); mostly heavy drinkers 35.1 (12.9)], to 47.3 (11.4) at 12 months [mostly abstainers: 51.7 (9.7); mostly moderate drinkers 44.8 (11.9); mostly heavy drinkers 44.1 (11.3)], and to 46.6 (11.1) at 24 months [mostly abstainers: 49.2 (11.6); mostly moderate drinkers 45.7 (11.9); mostly heavy drinkers 43.7 (8.8)]. Mixed-effect linear regression multivariate analyses indicated that there was a significant association between a lower 2-year follow-up MOS-SF-36 mental score and being a mostly heavy drinker (-6.97, P < 0.001) or mostly moderate drinker (-3.34 points, P = 0.018) [compared to mostly abstainers], being female (-3.73, P = 0.004), and having a Beck Inventory scale score ≥8 (-6.54, P < 0.001), at baseline. The mean (SD) MOS-SF-36 physical component summary score was 48.8 (10.6) at baseline, remained stable over the follow-up and did not differ across the three clusters. Mixed-effect linear regression univariate analyses found that the average 2-year follow-up MOS-SF-36 physical score was increased (compared with mostly abstainers) in mostly heavy drinkers (+4.44, P = 0.007); no other variables tested influenced the MOS-SF-36 physical score. CONCLUSION: Among individuals with alcohol dependence, a rapid improvement was seen in the mental dimension of QOL following treatment initiation, which was maintained during 24 months. Improvement was associated with the pattern of alcohol use, becoming close to the general population norm in patients classified as mostly abstainers, improving substantially in mostly moderate drinkers and improving only slightly in mostly heavy drinkers. The physical dimension of QOL was generally in the normal range but was not associated with drinking patterns.

Alcohol drinking, the metabolic syndrome and diabetes in a population with high mean alcohol consumption.

AIMS: To investigate the relationship of alcohol consumption with the metabolic syndrome and diabetes in a population-based study with high mean alcohol consumption. Few data exist on these conditions in high-risk drinkers. METHODS: In 6172 adults aged 35-75 years, alcohol consumption was categorized as 0, 1-6, 7-13, 14-20, 21-27, 28-34 and ≥ 35 drinks/week or as non-drinkers (0), low-risk (1-13), medium-to-high-risk (14-34) and very-high-risk (≥ 35) drinkers. Alcohol consumption was objectively confirmed by biochemical tests. In multivariate analysis, we assessed the relationship of alcohol consumption with adjusted prevalence of the metabolic syndrome, diabetes and insulin resistance, determined with the homeostasis model assessment of insulin resistance (HOMA-IR). RESULTS: Seventy-three per cent of participants consumed alcohol, 16% were medium-to-high-risk drinkers and 2% very-high-risk drinkers. In multivariate analysis, the prevalence of the metabolic syndrome, diabetes and mean HOMA-IR decreased with low-risk drinking and increased with high-risk drinking. Adjusted prevalence of the metabolic syndrome was 24% in non-drinkers, 19% in low-risk (P<0.001 vs. non-drinkers), 20% in medium-to-high-risk and 29% in very-high-risk drinkers (P=0.005 vs. low-risk). Adjusted prevalence of diabetes was 6.0% in non-drinkers, 3.6% in low-risk (P<0.001 vs. non-drinkers), 3.8% in medium-to-high-risk and 6.7% in very-high-risk drinkers (P=0.046 vs. low-risk). Adjusted HOMA-IR was 2.47 in non-drinkers, 2.14 in low-risk (P<0.001 vs. non-drinkers), 2.27 in medium-to-high-risk and 2.53 in very-high-risk drinkers (P=0.04 vs. low-risk). These relationships did not differ according to beverage types. CONCLUSIONS: Alcohol has a U-shaped relationship with the metabolic syndrome, diabetes and HOMA-IR, without differences between beverage types.

The influence of drinking pattern, at individual and aggregate levels, on alcohol-related negative consequences.

AIM: To determine the extent drinking patterns (at the individual and country level) are associated with alcohol-related consequences over and above the total alcohol the person consumes. METHODS: Hierarchical linear models were estimated based on general population surveys conducted in 18 countries participating in the GENACIS project. RESULTS: In general, the positive association between drinking pattern scores and alcohol-related consequences was found at both the individual and country levels, independent of volume of drinking. In addition, a significant interaction effect indicated that the more detrimental the country's drinking pattern, the less steep the association between the volume of drinking and its consequences. CONCLUSION: Drinking patterns have an independent impact on consequences over and above the relationship between volume and consequences.

Drinking Patterns and Their Predictive Factors in CONTROL: a 12-Month Prospective Study in a Sample of Alcohol-Dependent Patients Initiating Treatment.

Aims: To describe the drinking patterns and their baseline predictive factors during a 12-month period after an initial evaluation for alcohol treatment. Methods CONTROL is a single-center, prospective, observational study evaluating consecutive alcohol-dependent patients. Using a curve clustering methodology based on a polynomial regression mixture model, we identified three clusters of patients with dominant alcohol use patterns described as mostly abstainers, mostly moderate drinkers and mostly heavy drinkers. Multinomial logistic regression analysis was used to identify baseline factors (socio-demographic, alcohol dependence consequences and related factors) predictive of belonging to each drinking cluster. ResultsThe sample included 143 alcohol-dependent adults (63.6% males), mean age 44.6 ± 11.8 years. The clustering method identified 47 (32.9%) mostly abstainers, 56 (39.2%) mostly moderate drinkers and 40 (28.0%) mostly heavy drinkers. Multivariate analyses indicated that mild or severe depression at baseline predicted belonging to the mostly moderate drinkers cluster during follow-up (relative risk ratio (RRR) 2.42, CI [1.02-5.73, P = 0.045] P = 0.045), while living alone (RRR 2.78, CI [1.03-7.50], P = 0.044) and reporting more alcohol-related consequences (RRR 1.03, CI [1.01-1.05], P = 0.004) predicted belonging to the mostly heavy drinkers cluster during follow-up. Conclusion In this sample, the drinking patterns of alcohol-dependent patients were predicted by baseline factors, i.e. depression, living alone or alcohol-related consequences and findings that may inform clinicians about the likely drinking patterns of their alcohol-dependent patient over the year following the initial evaluation for alcohol treatment.

Which change talk dimensions are associated with subsequent drinking among young men receiving a brief motivational intervention in a non-clinical setting?

Background: Patient change talk (CT) during brief motivational interventions (BMI) has been linked with subsequent changes in drinking in clinical settings but this link has not been clearly established among young people in non-clinical populations. Objective: To determine which of several CT dimensions assessed during an effective BMI delivered in a non-clinical setting to 20-year old men are associated with drinking 6 months later. Methods: Of 125 individuals receiving a face-to-face BMI session (15.8 ± 5.4 minutes), we recorded and coded a subsample of 42 sessions using the Motivational Interviewing Skill Code 2.1. Each patient change talk utterance was categorized as `Reason´, `Ability´, `Desire´, `Need´, `Commitment´, `Taking steps´, or `Other´. Each utterance was graded according to its strength (absolute value from 1 to 3) and direction (i.e. towards (positive sign) or away (negative sign) from change/in favor of status quo). `Ability´, `Desire´, and `Need´ to change (`ADN´) were grouped together since these codes were too scarce to conduct analyses. Mean strength scores over the entire session were computed for each dimension and later dichotomized in towards change (i.e. mean core > 0) and away from change/in favor of status quo. Negative binomial regression models were used to assess the relationship between CT dimensions and drinking 6 months later, adjusting for drinking at baseline. Results: Compared to subjects with a `Taking steps´ score away from change/in favor of status quo, subjects with a positive `Taking steps´ score reported significantly less drinking 6 months later (Incidence Rate Ration [IRR] for drinks per week: 0.56, 95% Confidence Interval [CI] 0.31, 1.00). IRR (95%CI) for subjects with a positive `ADN´ score was 0.58, (0.32, 1.03). For subjects with a positive `Reason´, `Commitment´, and `Other´ scores, IRR (95%CI) were 1.28 (0.77; 2.12) 1.63 (0.85; 3.14) and 1.03 (0.61; 1.72), respectively. Conclusion: A change talk dimension reflecting steps taken towards change (`Taking steps´) is associated with less drinking 6 months later among young men receiving a BMI in a non-clinical setting. Encouraging patients to take steps towa change may be a worthy objective for clinicians and may explain BMI efficacy.

Predictive value of readiness, importance, and confidence in ability to change drinking and smoking.

BACKGROUND: Visual analog scales (VAS) are sometimes used to assess change constructs that are often considered critical for change. Aims of Study: 1.) To determine the association of readiness to change, importance of changing and confidence in ability to change alcohol and tobacco use at baseline with the risk for drinking (more than 21 drinks per week/6 drinks or more on a single occasion more than once per month) and smoking (one or more cigarettes per day) six months later. 2.) To determine the association of readiness, importance and confidence with alcohol (number of drinks/week, number of binge drinking episodes/month) and tobacco (number of cigarettes/day) use at six months. METHODS: This is a secondary analysis of data from a multi-substance brief intervention randomized trial. A sample of 461 Swiss young men was analyzed as a prospective cohort. Participants were assessed at baseline and six months later on alcohol and tobacco use, and at baseline on readiness to change, importance of changing and confidence in ability to change constructs, using visual analog scales ranging from 1-10 for drinking and smoking behaviors. Regression models controlling for receipt of brief intervention were employed for each change construct. The lowest level (1-4) of each scale was the reference group that was compared to the medium (5-7) and high (8-10) levels. RESULTS: Among the 377 subjects reporting unhealthy alcohol use at baseline, mean (SD) readiness, importance and confidence to change drinking scores were 3.9 (3.0), 2.7 (2.2) and 7.2 (3.0), respectively. At follow-up, 108 (29%) reported no unhealthy alcohol use. Readiness was not associated with being risk-free at follow-up, but high importance (OR 2.94; 1.15, 7.50) and high confidence (OR 2.88; 1.46, 5.68) were. Among the 255 smokers at baseline, mean readiness, importance and confidence to change smoking scores were 4.6 (2.6), 5.3 (2.6) and 5.9 (2.7), respectively. At follow-up, 13% (33) reported no longer smoking. Neither readiness nor importance was associated with being a non-smoker, whereas high confidence (OR 3.29; 1.12, 9.62) was. CONCLUSIONS: High confidence in ability to change was associated with favorable outcomes for both drinking and smoking, whereas high importance was associated only with a favorable drinking outcome. This study points to the value of confidence as an important predictor of successful change for both drinking and smoking, and shows the value of importance in predicting successful changes in alcohol use. TRIAL REGISTRATION NUMBER: ISRCTN78822107.

AT-RISK ALCOHOL USE IN YOUNG ADULTS - EFFECTIVENESS AND MECHANISMS OF BRIEF MOTIVATIONAL INTERVENTION AS A PRIMARY AND SECONDARY PREVENTION MEASURE

SummaryThe alcohol use of adolescents and young adults is one of the world's most important and costliest health problems. Particularly, binge drinking (i.e. drinking an important amount of alcohol in one occasion) among young people increase the risk of detrimental consequences such as blackouts, injuries, at-risk sexual behaviors, involvement in violent acts, academic failure, and suicide attempts. In countries with mandatory conscription mechanisms, such as Switzerland, the army provides a unique opportunity to reach a large portion of this high risk population. We used this sample to evaluate the prevalence of binge drinking among young men, to test the efficacy of brief motivational interventions (BMI) as a primary and secondary preventive measure, and to examine the mechanisms underlying BMI in this age group.We showed that binge drinking among young French-speaking Swiss men is less of an exception than it is the norm. Of those using alcohol, 75.5% had a binge drinking episode at least monthly, and 69.3% of all consumption reported in a one-week diary was due to binge drinking days.We used two different inclusion modes to evaluate the success of alcohol BMI. In the first randomized controlled trial, inclusion relied on a random selection of conscripts. BMI efficacy was evaluated in a sample of conscripts who visited the army recruitment centre that is potentially generalizable to the entire population. In the second randomized controlled trial, we included subjects voluntarily participating in BMI. This venue might be more realistic for young adults; it is more akin to the MI spirit, in which it is crucial for individuals to control their own decisions.Regarding BMI efficacy as a secondary prevention measure (i.e. to help decrease alcohol use among at-risk drinkers, defined here as those having a binge drinking episode at least monthly), it was effective among randomly selected at-risk drinkers, whereas it was not effective among at-risk drinkers who voluntarily showed up. Individuals who showed interest in BMI had more severe patterns of alcohol use, which may have made change more difficult and calls for treatment that is more intensive. BMI demonstrated a 20% reduction in weekly alcohol use among randomly selected participants, indicating potential interest in BMI implementation within similar community settings.Regarding BMI efficacy as a primary prevention measure (i.e. to help maintain low levels of use among low-risk drinkers), it had significant protective effects among low-risk drinkers voluntarily showing up whereas it was not effective among low-risk drinkers randomly selected. This suggests that BMI might help young individuals keep their drinking at low levels, especially when they are interested in discussing their alcohol use. Therefore, BMI has potentially promising uses in primary prevention efforts. The content of these interventions for low-risk drinkers who do not seek BMI on their own should be further evaluated.BMI mechanisms were addressed since little is known about exactly which elements of it work, or which of the counselor and subject communication behaviors are most effective in triggering behavior changes. The causal chain hypothesis developed in the motivational interviewing (MI) theory was followed, and it was found that counselor behaviors consistent with the MI approach (MICO) were significantly more likely to be followed by participant language in favor of change (change talk, CT), while behaviors inconsistent with MI (MIIN) were significantly less likely to do so. Several CT dimensions measured during BMI (particularly Ability, Desire, and Need to change) were predictive of change in alcohol use. Our findings lend strong support for the use of MICO behaviors and the avoidance of MIIN behaviors in eliciting CT, and point out that particular attention should be paid to the utterances in several sub-dimensions of CT and to the strength of expression, since these are good indicators of potential actual behavior change in future.RésuméLa consommation d'alcool chez les adolescents et les jeunes adultes est un des problèmes de santé les plus importants et les plus coûteux dans le monde. En particulier, les consommations importantes d'alcool en une occasion (binge drinking) parmi les jeunes adultes ont été liées à des conséquences telles que pertes de connaissance, accidents et blessures, comportements sexuels à risque, violences, difficultés scolaires et tentatives de suicide. Les pays qui, comme la Suisse, connaissent un processus de recrutement obligatoire pour l'armée offrent une opportunité unique d'atteindre une large portion de cette population à hauts risques. Nous avons utilisé cet échantillon pour évaluer la prévalence du binge drinking parmi les jeunes hommes, pour tester l'efficacité de l'intervention brève motivationnelle (IBM) comme mesure de prévention primaire et secondaire, et pour examiner les mécanismes sous-tendant ce type d'interventions.La première partie de cette étude montre que le binge drinking est moins une exception que la norme parmi les jeunes hommes suisses francophones. 75.5% des personnes consommant de l'alcool avaient au moins un épisode de binge drinking par mois et 69.3% du total des boissons alcoolisées reportées comme consommation de la semaine précédant le questionnaire avaient été consommées lors d'épisodes de binge drinking.Pour évaluer l'efficacité de l'IBM dans ce cadre, nous avons utilisé deux modes d'inclusion. Dans une première étude randomisée contrôlée, nous avons inclus des personnes sélectionnées au hasard parmi toutes celles se présentant au centre de recrutement, créant ainsi un groupe potentiellement représentatif de l'ensemble du collectif. Dans la deuxième étude randomisée contrôlée, nous avons inclus des sujets se présentant volontairement pour recevoir une IBM, prendre des volontaires pouvant être plus proche de la réalité et plus proche de l'esprit motivationnel dans lequel il est crucial que l'individu contrôle ses décisions.En regardant l'IBM comme mesure de prévention secondaire (c'est-à-dire aider à diminuer la consommation d'alcool chez les consommateurs à risque, définis ici comme au moins un épisode de binge drinking par mois), l'IBM était efficace lorsque les participants étaient inclus au hasard et inefficace lorsqu'ils étaient volontaires. Les jeunes hommes volontaires pour un IBM avaient un mode de consommation particulièrement sévère qui pourrait être plus difficile à changer et nécessiter un traitement plus intensif. Parmi les personnes sélectionnées au hasard, l'IBM permettait une diminution de 20% de la consommation hebdomadaire d'alcool, montrant l'intérêt potentiel d'une implémentation de ce type de mesures dans des contextes communautaires similaires.En ce qui concerne l'IBM comme mesure de prévention primaire (c'est-à-dire aider à maintenir une consommation à bas risque chez les consommateurs à bas risque), l'IBM avaient un effet protectif significatif parmi les jeunes hommes volontaires pour une IBM, mais pas d'effet chez ceux sélectionnés au hasard. Ces résultats suggèrent que l'IBM pourrait aider de jeunes personnes à maintenir un niveau de consommation à bas risque si celles-ci s'intéressent à discuter cette consommation et aurait ainsi un potentiel intéressant comme mesure de prévention primaire. Le contenu de l'IBM pour des consommateurs à bas risque non-volontaires pour une IBM devra encore être évalué.Nous avons ensuite examiné les mécanismes de l'IBM car son fonctionnement est encore peu expliqué et les comportements de l'intervenant et du sujet les plus à même de provoquer le changement ne sont pas bien définis. En suivant l'hypothèse d'une chaine causale développée dans la littérature de l'entretien motivationnel (EM), nous avons pu montrer qu'un discours en faveur du changement chez le sujet était plus probable après des comportements de l'intervenant recommandés dans l'EM et moins probable après des comportements à éviter dans l'EM ; et que plusieurs dimensions de ce discours en faveur du changement (notamment la capacité, le désir et le besoin de changer) prédisaient un changement effectif dans la consommation d'alcool. Ces résultats encouragent donc à utiliser des comportements recommandés dans l'EM pour favoriser un discours en faveur du changement. Ils montrent aussi qu'une attention particulière doit être portée à la fréquence et à la force avec laquelle sont exprimées certaines dimensions de ce discours car ceux-ci indiquent un potentiel changement effectif de comportement.Résumé vulgariséLa consommation d'alcool chez les adolescents et les jeunes adultes est un des problèmes de santé les plus importants et les plus coûteux dans le monde. En particulier, les consommations importantes d'alcool en une occasion (binge drinking) parmi les jeunes adultes augmentent fortement les risques de conséquences telles que pertes de connaissance, accidents et blessures, comportements sexuels à risque, violences, difficultés scolaires et tentatives de suicide. Les pays qui, comme la Suisse, connaissent un processus de recrutement obligatoire pour l'armée offrent une opportunité unique d'atteindre une large portion de cette population à hauts risques. Nous avons utilisé cet échantillon pour évaluer l'importance du phénomène de binge drinking, pour tester l'efficacité de l'intervention brève motivationnelle (IBM) comme mesure de prévention de la consommation à risque d'alcool, et pour examiner comment fonctionne ce type d'interventions.La première partie de cette étude montre que le binge drinking est moins une exception que la norme parmi les jeunes hommes suisses francophones. Trois quart des personnes consommant de l'alcool avaient au moins un épisode de binge drinking par mois. Presque 70% du total des boissons alcoolisées consommées durant la semaine précédant le questionnaire avaient été consommées lors d'épisodes de binge drinking.Nous avons ensuite mené deux études pour évaluer l'efficacité de l'IBM dans ce cadre. Dans une première étude, nous avons sélectionné des personnes au hasard parmi toutes celles se présentant au centre de recrutement, créant ainsi un groupe potentiellement représentatif de l'ensemble du collectif. Dans la deuxième étude, nous avons inclus toutes les personnes se présentant volontairement pour recevoir une IBM, prendre des volontaires pouvant être plus proche de la réalité et plus proche de l'approche motivationnelle dans laquelle il est crucial que l'individu contrôle ses décisions. Dans les deux études, nous testions l'efficacité de l'IBM comme mesure de prévention primaire et secondaire (voir ci-dessous).En regardant l'IBM comme mesure de prévention secondaire (c'est-à-dire aider à diminuer la consommation d'alcool chez les consommateurs à risque, définis ici comme au moins un épisode de binge drinking par mois), l'IBM était efficace lorsque les participants étaient inclus au hasard et inefficace lorsqu'ils étaient volontaires. Les jeunes hommes volontaires pour un IBM avaient un mode de consommation particulièrement sévère qui pourrait être plus difficile à changer et nécessiter un traitement plus intensif. Parmi les personnes sélectionnées au hasard, l'IBM permettait une diminution de 20% de la consommation hebdomadaire d'alcool, montrant l'intérêt potentiel de la mise en place de ce type de mesures dans des contextes communautaires similaires.En ce qui concerne l'IBM comme mesure de prévention primaire (c'est-à-dire aider à maintenir une consommation à bas risque chez les consommateurs à bas risque), l'IBM avaient un effet protectif parmi les jeunes hommes volontaires pour une IBM, mais pas d'effet chez ceux sélectionnés au hasard. Ces résultats suggèrent que l'IBM pourrait aider de jeunes personnes à maintenir un niveau de consommation à bas risque si celles-ci s'intéressent à discuter de cette consommation. Le contenu de l'IBM pour des consommateurs à bas risque non-volontaires pour une IBM devra encore être évalué.Nous avons ensuite examiné le fonctionnement de l'IBM et cherché quels comportements de l'intervenant et du jeune homme pouvaient être les plus à même d'amener à un changement dans la consommation. Nous avons pu montrer que 1) un discours en faveur du changement chez le jeune homme était plus probable après des comportements de l'intervenant recommandés dans l'approche motivationnelle et moins probable après des comportements non-recommandés ; et 2) plusieurs dimensions de ce discours en faveur du changement (notamment la capacité, le désir et le besoin de changer) prédisaient un changement effectif dans la consommation d'alcool. Ces résultats encouragent donc à utiliser des comportements recommandés dans l'EM pour favoriser un discours en faveur du changement. Ils montrent aussi qu'une attention particulière doit être portée à certaines dimensions de ce discours car celles-ci indiquent un potentiel changement effectif de comportement.

Who drinks most of the total alcohol in young men--risky single occasion drinking as normative behaviour.

AIMS: The objectives of this study were to analyse (a) the distribution of risky single-occasion drinking (RSOD) among 19-year-old men in Switzerland and (b) to show the percentage of all alcohol consumption in the form of RSOD. METHODS: The study was based on a census of Swiss francophone 19-year-old men consecutively reporting for processing. The study was conducted at Army Recruitment Center. The participants were 4116 recruits consecutively enrolling for mandatory army recruitment procedures between 23 January and 29 August in 2007. The measures were alcohol consumption measured in drinks of approximately 10 g of pure alcohol, number of drinking occasions with six or more drinks (RSOD) in the past 12 months and a retrospective 1 week drinking diary. RESULTS: 264 recruits were never seen by the research staff, 3536 of the remaining 3852 conscripts completed a questionnaire which showed that 7.2% abstained from alcohol and 75.5% of those drinking had an RSOD day at least monthly. The typical frequency of drinking was 1-3 days per week on weekends. The average quantity on weekends was about seven drinks, 69.3% of the total weekly consumption was in the form of RSOD days, and of all the alcohol consumed, 96.2% was by drinkers who had RSOD days at least once a month. CONCLUSION: Among young men, RSOD constitutes the norm. Prevention consequently must address the total population and not only high-risk drinkers.