Heavy Drinking in University Students With and Without Attention-Deficit/Hyperactivity Disorder: Contributions of Drinking Motives and Protective Behavioral Strategies

This study examined rates of heavy drinking and alcohol problems in relation to drinking motives and protective behavioral strategies in university students with a documented current diagnosis of attention-deficit/hyperactivity disorder (ADHD; n = 31) compared with students with no history of ADHD (n = 146). Participants completed a Web-based questionnaire, and logistic regression models tested interactions between ADHD/comparison group membership and motives and protective strategies. Group differences in rates of heavy drinking and alcohol problems were not statistically significant, but medium-sized risk ratios showed that students without ADHD reported heavy drinking at a rate 1.44 times higher than students with ADHD and met screening criteria for problematic alcohol use at a rate of 1.54 times higher than students with ADHD. Other key findings were, first, that drinking to enhance positive affect (e.g., drinking because it is exciting), but not to cope with negative affect (e.g., drinking to forget your worries), predicted both heavy drinking and alcohol problems. Second, only protective behavioral strategies that emphasize alcohol avoidance predicted both heavy drinking and alcohol problems. Contrary to expectations, we found no ADHD-related moderation of effects of motives or protective strategies on our alcohol outcomes. Results of this study are limited by the small sample of students with ADHD but highlight tentative similarities and differences in effects of motives and strategies on drinking behaviors and alcohol problems reported by students with and without ADHD

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

Leveraging Time-Varying Covariates to Test Within- and Between-Person Effects and Interactions in the Multilevel Linear Model

Multilevel linear modeling (MLM) is a powerful and well-defined tool often used to evaluate time-varying associations between two or more variables measured in longitudinal studies. Such

Comparing within-person effects from multivariate longitudinal models

Several multivariate models are motivated to answer similar developmental questions regarding withinperson (intraindividual) effects between 2 or more constructs over time, yet the within-person effects tested by each model are distinct. In this article, the authors clarify the types of within-person inferences that can be made from each model. Whereas previous research has focused on detecting whether within-person effects exist over development, the present work can be used to understand the nature of these relationships. The authors compare each modeling approach using an example investigating the concurrent development of mother- child closeness and mother- child conflict. The findings demonstrate that fundamentally different conclusions about developmental processes may be reached depending on which model is used, and a framework is demonstrated for making sense of seemingly contradictory findings

Transitions to Adulthood

The transition to adulthood is a period of development marked by diversity in the paths taken by young people as they gradually become adults. In education and employment, young people face the challenges of an unpredictable job market and increasing demands for postsecondary degrees. In relations with parents, young people face the challenges of moving out of the parental home or continuing to live with parents into their mid-twenties. In romantic relationships, young people face the challenges of developing a capacity for emotional intimacy and choosing to cohabit or marry. Finally, young people must navigate social settings that encourage risky behaviors and cope with mental health difficulties, two challenges that threaten their well-being as they approach adulthood. Young people with access to resources are better able to cope with these challenges and show competence in adulthood. Individual differences and features of the family, peer, community, cultural, and societal contexts in which these challenges are faced will determine the extent to which each person's transition to adulthood is a success

Paths to success in young adulthood from mental health and life transitions in emerging adulthood

This study followed a school-based sample (N = 920) to explore how trajectories of depressive symptoms and expressed anger from age 18 to 25, along with important life transitions, predicted life and career satisfaction at age 32. A two-group (women and men) bivariate growth model revealed that higher depressive symptoms at age 18 predicted lower life satisfaction in men and women, and lower career satisfaction in women. Slower declines across emerging adulthood in women's depressive symptoms predicted lower life satisfaction, but slower declines in women's expressed anger predicted higher career satisfaction. Marital and employment-related transitions were differentially related to men's and women's life and career satisfaction. Paths to success in young adulthood are diverse and gendered

Losing sleep over it: Daily variation in sleep quantity and quality in canadian students' first seme

Daily covariation of sleep quantity and quality with affective, stressful, academic, and social experiences were observed in a sample of Canadian 17-19-year-olds in their first year of university. Participants (N=191) completed web-based checklists for 14 consecutive days during their first semester. Multilevel models predicting sleep quantity and quality from daily experiences indicated that more time on schoolwork, expecting a test, and alcohol use predicted less sleep whereas socializing predicted more sleep. More positive affect and no alcohol use predicted better sleep quality. Models predicting daily experiences from sleep the night before indicated that less sleep preceded increases in negative affect, decreases in schoolwork time, and a higher likelihood of socializing. Better sleep quality preceded increased positive affect, decreased negative affect and stress, and less time on schoolwork. These data are informative for understanding relations between sleep and daily experiences as they occur naturally in first-year university students

College Student Affect and Heavy Drinking: Variable Associations Across Days, Semesters, and People

This study tested associations between positive and negative affect and heavy drinking in 734 college students who completed daily diaries in 14-day bursts once per semester over 7 semesters (98 days per person). Three-level multilevel models tested whether affect and heavy drinking were linked across days, semesters, and persons. Higher daily, between-semester, and between-person positive affect were each associated with greater odds of heavy drinking on weekdays and on weekend days. A significant interaction with semester in college showed that the association between daily positive affect and heavy drinking on weekend days became stronger over time. That is, heavy drinking on a weekend day with higher positive affect was more likely in later years of college (OR = 2.93, Fall of 4th year), compared to earlier in college (OR = 1.80, Fall of 1st year). A similar interaction was found for between-semester positive affect and heavy drinking on weekdays. Higher daily negative affect was associated with a greater odds of heavy drinking on weekdays only for students who first began drinking in 7th grade or earlier (OR = 2.36). Results of this study highlight the importance of varied time spans in studying the etiology, consequences, and prevention of heavy drinking. Harm-reduction strategies that target positive affect-related drinking by encouraging protective behaviors during celebratory events may become increasingly important as students transition to later years of college

Rise and fall of sleep quantity and quality with student experiences across the first year of university

Covariations of self-reported sleep quantity (duration) and quality (disturbances) with affective, stressful, academic, and social experiences across the first year of university in 187 Canadian students (M age=18.4) were examined with multilevel models. Female students reported sleeping fewer hours on average than did male students. In months when negative affect and general levels of stress were higher, sleep quantity was lower. Poorer sleep quality was seen in students living away from home and reporting more financial stress at baseline. In addition, sleep quality was poorer in months when negative affect and general levels of stress were higher (attenuating the effect of financial stress) and better in months when students spent more days with friends. Three themes are presented to explore the mechanisms by which sleep quantity and quality rise and fall in tandem with experiences of the first year of university

Exploring or Floundering? The Meaning of Employment and Educational Fluctuations in Emerging Adulthood

Youth today spend years moving in and out of different education and employment statuses until they settle into stable employment. This 14-year Canadian longitudinal study reveals how month-to-month fluctuations in employment and educational statuses from age 19 to 25 predict employment success at age 32. Early employment instability was linked to lower income at age 32 and, among men, to lower occupational status and career satisfaction. However, for those who had made at least one career change, employment fluctuation had a positive effect on income and career satisfaction. Greater fluctuation in educational status was associated with higher occupational status at age 32. In general, labor market instability in the early 20smight best be described as floundering, while educational status changes more often reflect exploring