Attention-Deficit/Hyperactivity Disorder and Alcohol and Other Substance Use Disorders in Young Adulthood: Findings from a Canadian Nationally Representative Survey

The prevalence of cannabis use disorder in attention-deficit hyperactivity disorder: A clinical epidemiological meta-analysis

Studies have shown that individuals with attention-deficit hyperactivity disorder (ADHD) pose an increased risk for developing substance use disorders. Increased cannabis product accessibility and recent legislative changes have led to increased cannabis consumption, thereby increasing the risk of cannabis use disorder (CUD). The present meta-analysis explored the lifetime and current prevalence of CUD in ADHD. A systematic review was conducted using the following databases: PubMed, PsycINFO and Web of Science. A total of 14 articles were included and used to estimate the aggregate lifetime and current prevalence of CUD in ADHD alongside risk ratios comparing increased risk of CUD in ADHD versus control samples. Mixed and random-effects models indicated that lifetime and current prevalence rates of CUD in ADHD populations were 26.9% and 19.2%, respectively (although prediction intervals ranged from 12.4% to 48.8% and 5.5%-39.1%, respectively). Analysis of the risk ratios indicated that those with ADHD were at 2.85- and 2.91-times greater risk of a lifetime or current diagnosis of CUD, respectively, than those in the general population. Our findings support the need for additional research on the prevalence of CUD in those with ADHD, as well as the inclusion of CUD screening in the treatment of ADHD.

Unhealthy behaviors associated with mental health disorders: a systematic comparative review of diet quality, sedentary behavior, and cannabis and tobacco use

Background

There are well-established literatures documenting the associations between mental disorders and unhealthy behaviors such as poor diet quality, sedentary behavior, and cannabis and tobacco use. Few studies have attempted to understand the respective findings in light of each other, however.

Objective

The purpose of this review was to assemble comparable data for each behavior-disorder association and assess the associations in terms of their overall strength. The review aimed to include a representative, but not exhaustive, range of studies that would allow for explorative comparisons.

Methods

Eligible studies were identified via Pubmed searches and citation searching, restricted to publications no older than 2015 written in English. To obtain comparable data, only studies that reported findings as odds ratios were included, and risk of bias related to study samples, behavioral measurement disparities, and control variables was assessed via sensitivity analyses. Findings for each disorder were compared on the basis of different measures of central tendency.

Results

From 3,682 records, 294 studies were included. The review found evidence of associations between each of the four unhealthy behaviors and psychosis, depression, anxiety, bipolar disorder, attention-deficit/hyperactivity disorder (ADHD), and post-traumatic stress disorder (PTSD), while personality disorder was only investigated in relation to cannabis and tobacco use. In overall comparison, the associations were generally of similar strength, and only the association between cannabis use and personality disorder was exceptional in terms of being significantly stronger than its counterparts across disorders and across behaviors. Analyses of bias risk identified some influence from behavioral measurement disparities and lack of adequate statistical control, but findings were generally robust across a range of sensitivity analyses.

Conclusion

This explorative and comparative review found that poor diet quality, sedentary behavior, and cannabis and tobacco use are about equally strongly associated with a range of different mental disorders. Given the general nature of these associations, we should probably understand them to reflect a general and shared etiology. However, the findings in this review should be regarded as tentative until confirmed by more comprehensive investigations.

[Attention deficit hyperactivity disorder and substance use in adulthood-Guideline-conform diagnostics and treatment]

Attention deficit hyperactivity disorder (ADHD) is the most frequent developmental disorder in childhood, adolescence and adulthood. Substance use disorders are a frequent comorbidity in ADHD. The many different forms and severities of these comorbidities necessitate individual strategies in the diagnostics and treatment. Principally, ADHD and addictive disorders should be treated together whenever possible. The more acute or severe the dependence disorder is, the less priority can be given to the topic of ADHD and the lower are the chances of carrying out valid diagnostics and simultaneous treatment at the beginning of the treatment of the addictive disorder. The less severe and acute the addictive disorder is, the quicker the diagnostics and, if necessary, treatment of ADHD can be initiated. In this continuing education article, the customary means for diagnostics and pharmacotherapy as well as the special features that must be considered with respect to comorbidities of both disorders are presented.

Drinking among university students with a history of reading difficulties: motivational and personality risk factors for hazardous levels of consumption

An increasing number of students are entering university with reading difficulties-whether they be diagnosed or self-reported. Research demonstrates that university students who self-report a history of reading difficulties (HRD) have lower academic achievement and higher anxiety about academic performance as compared to peers without this history (NRD). Here we study other aspects of HRD students' university experiences, focusing on alcohol consumption. Specifically, we investigated the drinking motives and personality characteristics likely to increase risk of hazardous alcohol consumption among HRD vs. NRD undergraduates. We identified 42 HRD and 54 NRD participants based on responses to a reading history questionnaire. Participants completed questionnaires assessing hazardous drinking, drinking motives, and alcohol-risk personality traits. Both groups reported similarly high levels of hazardous drinking. HRD students reported drinking more to conform with peers, and less to enhance positive moods, than NRD students. HRD students also scored higher in the alcohol personality risk of impulsivity. Our results support a unique pattern of motives and personality risks among HRD students, a pattern that likely puts them at increased risk for sustained hazardous drinking. Clinical implications for preventing problem drinking among HRD undergraduates are considered.

ADHD and Mental Health Symptoms in the Identification of Young Adults with Increased Risk of Alcohol Dependency in the General Population-The HUNT4 Population Study

Symptoms of ADHD are strongly associated with alcohol use disorders, and mental health symptoms attenuate this relationship. There is limited knowledge about how specific symptoms of inattentiveness and hyperactivity/impulsivity can explain this association. We aimed to identify self-reported executive cognitive functioning and mental health and variables that may help identify subjects with an elevated risk of alcohol dependence in the general population. Data included 3917 subjects between 19 and 30 years old in the 4th Trøndelag Health Study. The Adult ADHD Self report Scale—Screener, the Hospital Anxiety and Depression Scale, and demographic variables were used as input variables. The alcohol screening instrument CAGE was used as the response variable for binary alcohol dependence risk. We used logistic regression and automated model selection to arrive at our final model that identified sex, age, inattentiveness, hyperactivity/impulsivity symptoms, and anxiety as predictors of having a CAGE score ≥2, achieving an area under the receiver operating characteristic curve of 0.692. A balanced accuracy approach indicated an optimal cut-off of 0.153 with sensitivity 0.55 and specificity 0.74. Despite attrition in the data, our findings may be important in the assessment of individual risk for alcohol dependency and when developing algorithms for risk triage in public health.