| Title |
Adult attention-deficit hyperactivity disorder, risky behaviors, and motorcycle injuries: a case-control study
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, August 2015
|
| DOI | 10.2147/ndt.s87614 |
| Pubmed ID | |
| Authors |
Homayoun Sadeghi-Bazargani, Leili Abedi, Minoo Mahini, Shahrokh Amiri, Davoud Khorasani-Zavareh |
| Abstract |
The aim of this study was to assess the association of motorcycle traffic injuries with motorcycle riding behavior and subtypes of attention-deficit hyperactivity disorder (ADHD) while controlling for individual correlates of motorcycle traffic injuries. A case-control study was carried out in 298 patients with motorcycle trauma along with 151 control patients admitted to the Shohada and Imam Reza university hospitals as the two referral specialty centers in the East Azarbyjan Province of Iran in 2013. The Persian version of the Motorcycle Riding Behavior Questionnaire and the Persian version of Conner's Adult ADHD Rating Scales (the self-report short version) were used to assess riding behavior and screen for adult ADHD, respectively. The scale has four subscales, comprising subscale A (inattention), subscale B (hyperactivity, impulsivity), subscale C (A + C), and subscale D (ADHD index). The statistical analysis was done using Stata version 11. All subjects were male and aged 13-79 years. Approximately 54% of the participants were married and 13% had academic education. Approximately 18% of the motorcycle riders stated that their motorcycle riding was only for fun purposes. More than two thirds of the participants did not have a motorcycle riding license. Variables found to be significantly associated with motorcycle injuries in bivariate analysis included age, marital status, educational level, having a motorcycle riding license, using a helmet while riding, daily amount of riding, riding just for fun, riding behavior score, and ADHD scale scores. It was found in multivariate analysis that if the ADHD index (subscale D) score was used to assess the association of ADHD with motorcycle injuries, a protective role for ADHD was observed. However, the two other subscales showed a different predictive pattern for subscale A versus subscale B, with only subscale B increasing the likelihood of motorcycle traffic injuries. The score based on motorcycle rider behavior was found to be associated with motorcycle injuries. Other variables that were significant in multivariate models were the purpose of riding, educational level, economic status, and marital status. ADHD and riding behavior scores affect the likelihood of motorcycle traffic injuries among motorcycle riders independent of other injury indicators, and include education, purpose of riding, and economic status. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 16% |
| Student > Ph. D. Student | 11 | 16% |
| Student > Doctoral Student | 6 | 9% |
| Researcher | 6 | 9% |
| Student > Bachelor | 5 | 7% |
| Other | 11 | 16% |
| Unknown | 20 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 13% |
| Psychology | 8 | 11% |
| Engineering | 8 | 11% |
| Nursing and Health Professions | 4 | 6% |
| Neuroscience | 4 | 6% |
| Other | 13 | 19% |
| Unknown | 24 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 August 2015.
All research outputs
#16,048,009
of 25,374,917 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,583
of 3,132 outputs
Outputs of similar age
#146,209
of 276,431 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#52
of 92 outputs
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