25 August 2020 In Drinking Patterns

BACKGROUND: The consumption of addictive substances is common in adolescence and raises concerns about future addiction. We investigated addictive substance consumption among young people to inform the design of drug intervention programmes.

METHODS: Participants were a population-based sample of 14- to 24-year-olds from Paredes, northern Portugal. A self-report questionnaire measured social and health variables, including tobacco, alcohol and illicit drug consumption. Results Data were analysed for 731 valid responses. Participants who had drunk alcohol did so first at 14.7 years (mean); 15.3% (95% confidence intervals [CI]: 12.9-18.1) drank alcohol regularly (more than 1/week, adjusted for age and sex) (95% CI: 12.9-18.1). Participants who had smoked tobacco did so first at 14.8 years (mean); 16.6% (95% CI: 14.0-19.5) were regular smokers. Illicit drug consumption was reported by 16.7% of participants (95% CI: 14.2-19.6) and 10.4% consumed drugs regularly.

CONCLUSION: We found a high prevalence of addictive substance consumption, particularly alcohol. As cultural attitudes likely influence alcohol consumption, a multigenerational approach is needed to address adolescent consumption. Participants' main sources of drug information were family members. Strategies are needed to promote drug literacy in parents and other relatives to change adolescents' culturally acquired habits of addictive substance consumption.

25 August 2020 In Cancer

BACKGROUND: Alcohol consumption and cigarette smoking are associated with an increased risk of breast cancer (BC), but it is unclear whether these associations vary by a woman's familial BC risk.

METHODS: Using the Prospective Family Study Cohort, we evaluated associations between alcohol consumption, cigarette smoking, and BC risk. We used multivariable Cox proportional hazard models to estimate hazard ratios (HR) and 95% confidence intervals (CI). We examined whether associations were modified by familial risk profile (FRP), defined as the 1-year incidence of BC predicted by Breast Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA), a pedigree-based algorithm.

RESULTS: We observed 1009 incident BC cases in 17,435 women during a median follow-up of 10.4 years. We found no overall association of smoking or alcohol consumption with BC risk (current smokers compared with never smokers HR 1.02, 95% CI 0.85-1.23; consuming >/= 7 drinks/week compared with non-regular drinkers HR 1.10, 95% CI 0.92-1.32), but we did observe differences in associations based on FRP and by estrogen receptor (ER) status. Women with lower FRP had an increased risk of ER-positive BC associated with consuming >/= 7 drinks/week (compared to non-regular drinkers), whereas there was no association for women with higher FRP. For example, women at the 10th percentile of FRP (5-year BOADICEA = 0.15%) had an estimated HR of 1.46 (95% CI 1.07-1.99), whereas there was no association for women at the 90th percentile (5-year BOADICEA = 4.2%) (HR 1.07, 95% CI 0.80-1.44). While the associations with smoking were not modified by FRP, we observed a positive multiplicative interaction by FRP (pinteraction = 0.01) for smoking status in women who also consumed alcohol, but not in women who were non-regular drinkers.

CONCLUSIONS: Moderate alcohol intake was associated with increased BC risk, particularly for women with ER-positive BC, but only for those at lower predicted familial BC risk (5-year BOADICEA < 1.25). For women with a high FRP (5-year BOADICEA >/= 6.5%) who also consumed alcohol, being a current smoker was associated with increased BC risk.

25 January 2019 In Drinking & Eating Patterns

INTRODUCTION: Age of first drink is a key risk factor for adolescent high-risk alcohol use. The current study examined whether speed of escalation from first drink to first intoxication is an additional risk factor, and whether these two factors are associated with binge and high-intensity drinking among adolescents.

METHODS: Data collected in 2005-2017 from a nationally-representative sample of 11,100 U.S. 12th grade students participating in the Monitoring the Future study were coded to indicate grade of first drink, grade of first intoxication, and speed of escalation from first drink to first intoxication. Logistic regression models estimated bivariate and multivariable odds of past 2-week binge (5+ drinks in a row) and high-intensity (10+ drinks in a row) drinking in 12th grade.

RESULTS: Of those who reported intoxication by 12th grade, almost 60% reported first drunkenness in the same grade in which they first drank. The likelihoods of 12th grade binge and high-intensity drinking were significantly associated with both grade of first drink and speed of escalation to intoxication. Past two-week high-intensity drinking prevalence was 17.4% among those with immediate (same-grade) escalation from first drink to first intoxication; 15.8% among those with a 1-grade delay, and 12.6% among those with a 2+ grade delay to intoxication.

CONCLUSIONS: The majority of students escalate quickly from having their first drink to being intoxicated for the first time. Both earlier age of first drink and a faster escalation from first drink to first intoxication are important indicators of binge and high-intensity drinking risk among adolescents.

27 July 2018 In Social and Cultural Aspects

Despite the pervasive use of social media by young adults, there is comparatively little known about whether, and how, engagement in social media influences this group's drinking patterns and risk of alcohol-related problems. We examined the relations between young adults' alcohol-related social media engagement (defined as the posting, liking, commenting, and viewing of alcohol-related social media content) and their drinking behavior and problems. We conducted a systematic review and meta-analysis of studies evaluating the association of alcohol consumption and alcohol-related problems with alcohol-related social media engagement. Summary baseline variables regarding the social media platform used (e.g., Facebook and Twitter), social media measures assessed (e.g., number of alcohol photographs posted), alcohol measures (e.g., Alcohol Use Disorders Identification Test and Timeline Follow back Interview), and the number of time points at which data were collected were extracted from each published study. We used the Q statistic to examine heterogeneity in the correlations between alcohol-related social media engagement and both drinking behavior and alcohol-related problems. Because there was significant heterogeneity, we used a random-effects model to evaluate the difference from zero of the weighted aggregate correlations. We used metaregression with study characteristics as moderators to test for moderators of the observed heterogeneity. Following screening, 19 articles met inclusion criteria for the meta-analysis. The primary findings indicated a statistically significant relationship and moderate effect sizes between alcohol-related social media engagement and both alcohol consumption (r = 0.36, 95% CI: 0.29 to 0.44, p < 0.001) and alcohol-related problems (r = 0.37, 95% CI: 0.21 to 0.51, p < 0.001). There was significant heterogeneity among studies. Two significant predictors of heterogeneity were (i) whether there was joint measurement of alcohol-related social media engagement and drinking behavior or these were measured on different occasions and (ii) whether measurements were taken by self-report or observation of social media engagement. We found moderate-sized effects across the 19 studies: Greater alcohol-related social media engagement was correlated with both greater self-reported drinking and alcohol-related problems. Further research to determine the causal direction of these associations could provide opportunities for social media-based interventions with young drinkers aimed at reducing alcohol consumption and alcohol-related adverse consequences.

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