140 resultados para Problematic alcohol use and other drugs

em Université de Lausanne, Switzerland


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AIM: This study examined whether problematic Internet use was associated with substance use among young adolescents and assessed whether this association accounted for the use of tobacco, alcohol, cannabis and other drugs. METHODS: Using the Internet Addiction Test, we divided a representative sample of 3067 adolescents in Switzerland (mean age 14 years) into regular and problematic Internet users. We performed a bivariate analysis and two logistic regression models, to analyse substances separately and simultaneously, and developed a log-linear model to define the associations between significant variables. RESULTS: Problematic Internet users were more likely to be female, to use substances, to come from nonintact families, to report poor emotional well-being and to be below average students. The first model showed significant associations between problematic users and each substance, with adjusted odds ratios of 2.05 for tobacco, 1.72 for alcohol, 1.94 for cannabis and 2.73 for other drugs. Only smoking remained significant in the second model, with an adjusted odds ratio of 1.71. CONCLUSION: Problematic Internet use is associated with other risky behaviours and may be an important early predictor of adolescent substance use. Therefore, it should be included in the psychosocial screening of adolescents.

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Objectives: The aim of this study was to evaluate the efficacy of brief motivational intervention (BMI) in reducing alcohol use and related problems among binge drinkers randomly selected from a census of 20 year-old French speaking Swiss men and to test the hypothesis that BMI contributes to maintain low-risk drinking among non-bingers. Methods: Randomized controlled trial comparing the impact of BMI on weekly alcohol use, frequency of binge drinking and occurrence of alcohol-related problems. Setting: Army recruitment center. Participants: A random sample of 622 men were asked to participate, 178 either refused, or missed appointment, or had to follow military assessment procedures instead, resulting in 418 men randomized into BMI or control conditions, 88.7% completing the 6-month follow-up assessment. Intervention: A single face-to-face BMI session exploring alcohol use and related problems in order to stimulate behaviour change perspective in a non-judgmental, empathic manner based on the principles of motivational interviewing (MI). Main outcome measures: Weekly alcohol use, binge drinking frequency and the occurrence of 12 alcohol-related consequences. Results: Among binge drinkers, we observed a 20% change in drinking induced by BMI, with a reduction in weekly drinking of 1.5 drink in the BMI group, compared to an increase of 0.8 drink per week in the control group (incidence rate ratio 0.8, 95% confidence interval 0,66 to 0,98, p = 0.03). BMI did not influence the frequency of binge drinking and the occurrence of 12 possible alcohol-related consequences. However, BMI induced a reduction in the alcohol use of participants who, after drinking over the past 12 months, experienced alcohol-related consequences, i.e., hangover (-20%), missed a class (-53%), got behind at school (-54%), argued with friends (-38%), engaged in unplanned sex (-45%) or did not use protection when having sex (-64%). BMI did not reduce weekly drinking in those who experienced the six other problems screened. Among non-bingers, BMI did not contribute to maintain low-risk drinking. Conclusions: At army conscription, BMI reduced alcohol use in binge drinkers, particularly in those who recently experienced alcohol-related adverse consequences. No preventive effect of BMI was observed among non-bingers. BMI is an interesting preventive option in young binge drinkers, particularly in countries with mandatory army recruitment.

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Background:  Heavy drinking and smoking during pregnancy are known to have a negative impact on the unborn child. However, the impact of low-to-moderate alcohol consumption and binge drinking has been debated recently. The aim of this study was to examine the relationship of moderate prenatal drinking and binge drinking with birthweight, being small for gestational age (SGA) at birth, preterm birth, and neonatal asphyxia. Methods:  Moderate alcohol drinking, binge drinking, and several possible confounders were assessed in 1,258 pregnant women; information on neonatal health was obtained at birth. Results:  Results indicate that 30.8% of the women drank at low levels (<2 glasses/wk), 7.9% drank moderately (2 to 4 glasses/wk), and 0.9% showed higher levels of drinking (≥5 glasses/wk); 4.7% reported binge drinking (defined as ≥3 glasses/occasion). 6.4% of the children were SGA (<10th percentile of birthweight adjusted for gestational age), 4.6% were preterm (<37th week of gestation), and 13.0% showed asphyxia (arterial cord pH <7.10 and/or arterial cord lactate >6.35 mmol and/or Apgar score <7 at 5 minutes). When controlling for maternal age, citizenship, occupational status, parity, smoking, use of prescription/over-the-counter drugs, illicit drug use, and child gender moderate drinking was related to lower birthweight (p < 0.01), and moderate drinking and binge drinking were associated with neonatal asphyxia at trend level (p = 0.06 and p = 0.09). Moderate drinking and binge drinking were not related to length of gestation. Conclusions:  In contrast to recent reviews in the field, our results assume that moderate drinking and binge drinking are risk factors for neonatal health.

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Background and aims: Few studies have examined whether subjective experiences during first cannabis use are related to other illicit drug (OID) use. This study investigated this topic. Methods: Baseline data from a representative sample of young Swiss men was obtained from an ongoing Cohort Study on Substance Use Risk Factors (N ¼ 5753). Logistic regressions were performed to examine the relationships between cannabis use and of subjective experiences during first cannabis use with 15 OID. Results: Positive experiences increased the likelihood of using hallucinogens (hallucinogens, salvia divinorum, spice; p50.015), stimulants (speed, ecstasy, cocaine, amphetamines/methamphetamines; p50.006) and also poppers, research chemicals, GHB/GBL, and crystal meth (p50.049). Sniffed drugs (poppers, solvents for sniffing) and ''hard'' drugs (heroin, ketamine, research chemicals, GHB/GBL and crystal meth) were more likely to be used by participants who experienced negative feelings on first use of cannabis (p50.034). Conclusion: Subjective feelings seemed to amplify the association of cannabis with OID. The risk increased for drugs with effects resembling feelings experienced on first cannabis use. Negative experiences should also be a concern, as they were associated with increased risk of using the ''hardest'' illicit drugs.

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BACKGROUND: The magnitude of risk conferred by the interaction between tobacco and alcohol use on the risk of head and neck cancers is not clear because studies have used various methods to quantify the excess head and neck cancer burden. METHODS: We analyzed individual-level pooled data from 17 European and American case-control studies (11,221 cases and 16,168 controls) participating in the International Head and Neck Cancer Epidemiology consortium. We estimated the multiplicative interaction parameter (psi) and population attributable risks (PAR). RESULTS: A greater than multiplicative joint effect between ever tobacco and alcohol use was observed for head and neck cancer risk (psi = 2.15; 95% confidence interval, 1.53-3.04). The PAR for tobacco or alcohol was 72% (95% confidence interval, 61-79%) for head and neck cancer, of which 4% was due to alcohol alone, 33% was due to tobacco alone, and 35% was due to tobacco and alcohol combined. The total PAR differed by subsite (64% for oral cavity cancer, 72% for pharyngeal cancer, 89% for laryngeal cancer), by sex (74% for men, 57% for women), by age (33% for cases <45 years, 73% for cases >60 years), and by region (84% in Europe, 51% in North America, 83% in Latin America). CONCLUSIONS: Our results confirm that the joint effect between tobacco and alcohol use is greater than multiplicative on head and neck cancer risk. However, a substantial proportion of head and neck cancers cannot be attributed to tobacco or alcohol use, particularly for oral cavity cancer and for head and neck cancer among women and among young-onset cases.

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Background: Alcohol use has beneficial as well as adverse consequences on health, but few studies examined its role in the development of age-related frailty. Objectives: To describe the cross-sectional and longitudinal association between alcohol intake and frailty in older persons. Design: The Lausanne cohort 65+ population-based study, launched in 2004. Setting: Community. Participants: One thousand five hundred sixty-four persons aged 65-70 years. Measurements: Annual data collection included demographics, health and functional status, extended by a physical examination every 3 years. Alcohol use (AUDIT-C), and Fried's frailty criteria were measured at baseline and 3-year follow-up. Participants were categorized into robust (0 frailty criterion) and vulnerable (1+ criteria). Results: Few participants (13.0%) reported no alcohol consumption over the past year, 57.8% were light-to-moderate drinkers, while 29.3% drank above recommended thresholds (18.7% "at risk" and 10.5% "heavy" drinkers). At baseline, vulnerability was most frequent in non-drinkers (43.0%), least frequent in light-to-moderate drinkers (26.2%), and amounted to 31.9% in "heavy" drinkers showing a reverse J-curve pattern. In multivariate analysis, compared to light-to-moderate drinkers, non-drinkers had twice higher odds of prevalent (adjOR: 2.24; 95%CI:1.39-3.59; p=.001), as well as 3-year incident vulnerability (adjOR: 2.00; 95%CI:1.02-3.91; p=.043). No significant association was observed among "at risk" and "heavy" drinkers. Conclusion: Non-drinkers had two-times higher odds of prevalent and 3-year incident vulnerability, even after adjusting for their baseline poorer health status. Although residual confounding is still possible, these results likely reflect a healthy survival effect among drinkers while those who experienced health- or alcohol-related problems stopped drinking earlier.

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BACKGROUND: According to the gateway hypothesis, tobacco use is a gateway of cannabis use. However, there is increasing evidence that cannabis use also predicts the progression of tobacco use (reverse gateway hypothesis). Unfortunately, the importance of cannabis use compared to other predictors of tobacco use is less clear. The aim of this study was to examine which variables, in addition to cannabis use, best predict the onset of daily cigarette smoking in young men. METHODS: A total of 5,590 young Swiss men (mean age = 19.4 years, SD = 1.2) provided data on their substance use, socio-demographic background, religion, health, social context, and personality at baseline and after 18 months. We modelled the predictors of progression to daily cigarette smoking using logistic regression analyses (n = 4,230). RESULTS: In the multivariate overall model, use of cannabis remained among the strongest predictors for the onset of daily cigarette use. Daily cigarette use was also predicted by a lifetime use of at least 50 cigarettes, occasional cigarette use, educational level, religious affiliation, parental situation, peers with psychiatric problems, and sociability. CONCLUSIONS: Our results highlight the relevance of cannabis use compared to other potential predictors of the progression of tobacco use and thereby support the reverse gateway hypothesis.

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BACKGROUND: The use of cannabis and other illegal drugs is particularly prevalent in male young adults and is associated with severe health problems. This longitudinal study explored variables associated with the onset of cannabis use and the onset of illegal drug use other than cannabis separately in male young adults, including demographics, religion and religiosity, health, social context, substance use, and personality. Furthermore, we explored how far the gateway hypothesis and the common liability to addiction model are in line with the resulting prediction models. METHODS: The data were gathered within the Cohort Study on Substance Use Risk Factors (C-SURF). Young men aged around 20 years provided demographic, social, health, substance use, and personality-related data at baseline. Onset of cannabis and other drug use were assessed at 15-months follow-up. Samples of 2,774 and 4,254 individuals who indicated at baseline that they have not used cannabis and other drugs, respectively, in their life and who provided follow-up data were used for the prediction models. Hierarchical logistic stepwise regressions were conducted, in order to identify predictors of the late onset of cannabis and other drug use separately. RESULTS: Not providing for oneself, having siblings, depressiveness, parental divorce, lower parental knowledge of peers and the whereabouts, peer pressure, very low nicotine dependence, and sensation seeking were positively associated with the onset of cannabis use. Practising religion was negatively associated with the onset of cannabis use. Onset of drug use other than cannabis showed a positive association with depressiveness, antisocial personality disorder, lower parental knowledge of peers and the whereabouts, psychiatric problems of peers, problematic cannabis use, and sensation seeking. CONCLUSIONS: Consideration of the predictor variables identified within this study may help to identify young male adults for whom preventive measures for cannabis or other drug use are most appropriate. The results provide evidence for both the gateway hypothesis and the common liability to addiction model and point to further variables like depressiveness or practising of religion that might influence the onset of drug use.

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INTRODUCTION AND AIMS: The positive relationship between alcohol use, gender and violence-related injury is well established. However, less is known about injuries when alcohol is used in combination with other drugs. DESIGN AND METHODS: Self-report information was collected on alcohol and illicit drug use in the 6 h before a violence-related injury in probability samples of patients presenting to emergency departments (n = 9686). RESULTS: Patients with violence-related injuries reported the highest rates of alcohol use (49% of men; 23% of women) and alcohol use combined with illicit drugs (8% of men; 4% of women) whereas non-violent injury patients reported lower rates of alcohol use (17% of men; 8% of women) and alcohol use combined with drugs (2% for men; 1% for women). Marijuana/hashish was the most commonly reported drug. The odds of a violent injury were increased when alcohol was used [men: odds ratio (OR) = 5.4, 95% confidence interval (CI) 4.6-6.3; women: OR = 4.0, 95% CI 3.0-5.5] or when alcohol was combined with illicit drug use before the injury (men: OR = 6.6, 95% CI 4.7-9.3; women: OR = 5.7, 95% CI = 2.7-12.2) compared with non-users. No significant change in the odds of a violent injury was observed for men or women when alcohol users were compared with alcohol and drug users. DISCUSSION AND CONCLUSIONS: The positive association between alcohol and violent injury does not appear to be altered by the added use of drugs. Additional work is needed to understand the interpersonal, contextual and cultural factors related to substance use to identify best prevention practices and develop appropriate policies. [Korcha RA, Cherpitel CJ, Witbrodt J, Borges G, Hejazi-Bazargan S, Bond JC, Ye Y, Gmel G. Violence-related injury and gender: The role of alcohol and alcohol combined with illicit drugs. Drug Alcohol Rev 2014;33:43-50].

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BACKGROUND: Peer pressure (PP) has been shown to play a major role in the development and continuation of alcohol use and misuse. To date, almost all the studies investigating the association of PP with alcohol use only considered the PP for misconduct but largely ignored other aspects of PP, such as pressure for peer involvement and peer conformity. Moreover, it is not clear whether the association of PP with alcohol use is direct or mediated by other factors. The aim of the present study was to investigate the association of different aspects of peer pressure (PP) with drinking volume (DV) and risky single-occasion drinking (RSOD), and to explore whether these associations were mediated by drinking motives (DM). METHODS: A representative sample of 5521 young Swiss men, aged around 20 years old, completed a questionnaire assessing their usual weekly DV, the frequency of RSOD, DM (i.e. enhancement, social, coping, and conformity motives), and 3 aspects of PP (i.e. misconduct, peer involvement, and peer conformity). Associations between PP and alcohol outcomes (DV and RSOD) as well as the mediation of DM were tested using structural equation models. RESULTS: Peer pressure to misconduct was associated with more alcohol use, whereas peer involvement and peer conformity were associated with less alcohol use. Associations of drinking outcomes with PP to misconduct and peer involvement were partially mediated by enhancement and coping motives, while the association with peer conformity was partially mediated by enhancement and conformity motives. CONCLUSIONS: Results suggest that PP to misconduct constitutes a risk factor, while peer conformity and peer involvement reflect protective factors with regard to alcohol use. Moreover, results from the mediation analyses suggest that part of the association of PP with alcohol use came indirectly through DM: PP was associated with DM, which in turn were associated with alcohol use.

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To create an instrument to be used in an outpatient clinic to detect adolescents prone to risk-taking behaviours. Based on previous research, five identified variables (relationship with parents and teachers, liking going to school, average grades, and level of religiosity) were used to create a screening tool to detect at least one of ten risky behaviours (tobacco, alcohol, cannabis and other illegal drugs use; sexual intercourse and sexual risky behaviour; driving while intoxicated, riding with an intoxicated driver, not always using a seat belt, and not always using a helmet). The instrument was tested using the Barcelona Adolescent Health Survey 1993. A Receiver Operating Characteristics curve was used to find the best cut-off point between high and low risk score. Odds ratios and 95% confidence intervals were calculated to detect at least one risky behaviour and for each individual behaviour. In order to assess its predictive value, the analysis was repeated using the Barcelona Adolescent Health Survey 1999. In both cases, analyses were conducted for the whole sample and for younger and older adolescents. Adolescents with a high-risk score were more likely to take at least one risky behaviour both when the whole sample was analysed and by age groups. With very few exceptions, the Behaviour Evaluation for Risk-Taking Adolescents showed significant odds ratios for each individual variable. CONCLUSION: The Behaviour Evaluation for Risk-Taking Adolescents has shown its potential as an easy to use instrument to screen for risk-taking behaviours. Future research must aim towards assessing this instrument's predictive value in the clinical setting and it's application to other populations.