Dataset Information

Traffic Violations among Young People with Attention-Deficit Hyperactivity Disorder.

ABSTRACT:

Background

Evidence whether individuals with attention-deficit hyperactivity disorder (ADHD) are at increased risk for traffic violations/collisions is mixed. This study investigated the association between ADHD and traffic violations among youth and young adults; examined whether this association differed by age, sex, or comorbid mental or physical problems; and modelled factors associated with traffic violations among individuals with ADHD.

Methods

Data come from the 2012 Canadian Community Health Survey-Mental Health (CCHS-MH), a cross-sectional epidemiological study. The sample was restricted to youth and young adults aged 15 to 39 years and categorized into 3 groups: 15 to 19 years (n = 1886), 20 to 29 years (n = 3679), and 30 to 39 years (n = 3659). Lifetime ADHD and past-year contact with police for traffic violations were self-reported. Logistic regression models quantified the association between ADHD and traffic violations, stratified by age. Interactions were included to examine moderating effects.

Results

No evidence suggested an association between ADHD and past-year traffic violations (odds ratio [OR], 1.07; 95% confidence interval (CI), 0.64 to 1.79), age-specific estimates did not differ across age groups (P = 0.696), and no factors moderated the association. Three factors were found to increase odds for past-year traffic violations among individuals with ADHD: aged 20 to 29 years (OR, 3.84; 95% CI, 1.47 to 10.06), male sex (OR, 3.48; 95% CI, 1.39 to 8.59), and white ethnicity (OR, 5.62; 95% CI, 1.24 to 25.51).

Conclusions

Individuals with ADHD are not an at-risk group for traffic violations but instead share similar risk factors with individuals in the general population without ADHD-information useful for health professionals. Replication studies are needed to examine the robustness of these findings.

SUBMITTER: Ferro MA

PROVIDER: S-EPMC6610566 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Traffic Violations among Young People with Attention-Deficit Hyperactivity Disorder.

Ferro Mark A MA Leatherdale Scott T ST

Canadian journal of psychiatry. Revue canadienne de psychiatrie 20181028 7

<h4>Background</h4>Evidence whether individuals with attention-deficit hyperactivity disorder (ADHD) are at increased risk for traffic violations/collisions is mixed. This study investigated the association between ADHD and traffic violations among youth and young adults; examined whether this association differed by age, sex, or comorbid mental or physical problems; and modelled factors associated with traffic violations among individuals with ADHD.<h4>Methods</h4>Data come from the 2012 Canadi ...[more]

PMID: 30370781

Similar Datasets

Project description:BackgroundAttention deficit hyperactivity disorder (ADHD) is a complex neurodevelopmental disorder characterized by inattention, hyperactivity, and impulsivity. ADHD can affect the individual, the individual's family, and the community. ADHD is managed using pharmacological and nonpharmacological treatments, which principally involves others helping children and young people (CAYP) manage their ADHD rather than learning self-management strategies themselves. Over recent years, technological developments have meant that technology has been harnessed to create interventions to facilitate the self-management of ADHD in CAYP. Despite a clear potential to improve the effectiveness and personalization of interventions, there are currently no guidelines based on existing evidence or theories to underpin the development of technologies that aim to help CAYP self-manage their ADHD.ObjectiveThe aim of this study was to create evidence-based guidelines with key stakeholders who will provide recommendations for the future development of technological interventions, which aim to specifically facilitate the self-management of ADHD.MethodsA realist evaluation (RE) approach was adopted over 5 phases. Phase 1 involved identifying propositions (or hypotheses) outlining what could work for such an intervention. Phase 2 involved the identification of existing middle-range theories of behavior change to underpin the propositions. Phase 3 involved the identification and development of context mechanism outcome configurations (CMOCs), which essentially state which elements of the intervention could be affected by which contexts and what the outcome of these could be. Phase 4 involved the validation and refinement of the propositions from phase 1 via interviews with key stakeholders (CAYP with ADHD, their parents and specialist clinicians). Phase 5 involved using information gathered during phases 1 to 4 to develop the guidelines.ResultsA total of 6 specialist clinicians, 8 parents, and 7 CAYP were recruited to this study. Overall, 7 key themes were identified: (1) positive rewarding feedback, (2) downloadable gaming resources, (3) personalizable and adaptable components, (4) psychoeducation component, (5) integration of self-management strategies, (6) goal setting, and (7) context (environmental and personal). The identified mechanisms interacted with the variable contexts in which a complex technological intervention of this nature could be delivered.ConclusionsComplex intervention development for complex populations such as CAYP with ADHD should adopt methods such as RE, to account for the context it is delivered in, and co-design, which involves developing the intervention in partnership with key stakeholders to increase the likelihood that the intervention will succeed. The development of the guidelines outlined in this paper could be used for the future development of technologies that aim to facilitate self-management in CAYP with ADHD.

Dataset Information

Traffic Violations among Young People with Attention-Deficit Hyperactivity Disorder.

Background

Methods

Results

Conclusions

Publications

Traffic Violations among Young People with Attention-Deficit Hyperactivity Disorder.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure