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

ABSTRACT: 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.

SUBMITTER: Howard AL

PROVIDER: S-EPMC5546638 | biostudies-other | 2017

REPOSITORIES: biostudies-other

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Project description:IntroductionRecent estimates suggest that there is a substantial number of Japanese students with developmental disabilities. This study aimed to examine potential associations between autistic, autistic subcomponents, and attention deficit/hyperactivity disorder (ADHD) traits with student performance (as measured by presenteeism) and class attendance among Japanese university students.MethodsParticipants comprised 721 students from different regions of Japan who completed a self-administered internet survey. Autistic and ADHD traits were measured using an abridged version of the autism spectrum quotient (AQ-Short) and adult ADHD self-report scale (ASRS). Presenteeism, which is an indicator of student performance, was assessed using the modified World Health Organization Health and Work Performance Questionnaire. Class attendance during the past year was self-reported by participants.ResultsStudents with high levels of autistic traits and high levels of ADHD traits were significantly more likely to report poor student performance (odds ratio [OR] = 3.07, 95% confidence interval [95% CI]: 1.90-4.96; and OR = 2.13, 95% CI: 1.32-3.42, respectively). Regarding autistic trait subcomponents, students with high levels of preference for routine (OR = 2.39, 95% CI: 1.38-4.13) and high levels of difficulties with social skills (OR = 1.81, 95% CI: 1.03-3.18) were also significantly more likely to report poor student performance. There were borderline significant associations between traits of attention-switching difficulties and poor student performance (OR = 1.78, 95% CI: 1.00-3.15). Regarding ADHD trait subcomponents, students with high levels of inattention (OR = 2.88, 95% CI: 1.32-6.26) were also significantly more likely to report poor student performance. Students with both high levels of autistic traits and high levels of ADHD traits were more likely to report poor student performance than those with high levels of only one trait type. There were, however, no statistically significant associations between these traits and low class attendance risk.ConclusionsSickness presenteeism was significantly associated with high levels of both autistic traits and ADHD traits among Japanese university students.

Project description:ObjectiveDisruptive mood dysregulation disorder (DMDD), characterized by severe irritability, and attention-deficit/hyperactivity disorder (ADHD) are highly comorbid. This is the first study to characterize neural and behavioral similarities and differences in attentional functioning across these disorders.MethodTwenty-seven healthy volunteers, 31 patients with DMDD, and 25 patients with ADHD (8 to 18 years old) completed a functional magnetic resonance imaging attention task. Group differences in intra-subject variability in reaction time (RT) were examined. The present functional magnetic resonance imaging analytic approach precisely quantified trial-wise associations between RT and brain activity.ResultsGroup differences manifested in the relation between RT and brain activity (all regions: p < .01, F > 2.54, partial eta-squared [ηp2] > 0.06). Patients with DMDD showed specific alterations in the right paracentral lobule, superior parietal lobule, fusiform gyrus, and cerebellar culmen. In contrast, patients with DMDD and those with ADHD exhibited blunted compensatory increases in activity on long RT trials. In addition, youth with DMDD exhibited increased activity in the postcentral gyrus, medial frontal gyrus, and cerebellar tonsil and declive (all regions: p < .05, F > 2.46, ηp2 > 0.06). Groups in the imaging sample did not differ significantly in intra-subject variability in RT (F2,79 = 2.664, p = .076, ηp2 = 0.063), although intra-subject variability in RT was significantly increased in youth with DMDD and ADHD when including those not meeting strict motion and accuracy criteria for imaging analysis (F2,96 = 4.283, p = .017, ηp2 = 0.083).ConclusionPatients with DMDD exhibited specific alterations in the relation between pre-stimulus brain activity and RT. Patients with DMDD and those with ADHD exhibited similar blunting of compensatory neural activity in frontal, parietal, and other regions. In addition, patients with DMDD showed increased RT variability compared with healthy youth. This work is the first to identify common and unique behavioral and neural signatures of DMDD and ADHD.

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

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