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Post-traumatic stress disorder associated with life-threatening motor vehicle collisions in the WHO World Mental Health Surveys

Overview of attention for article published in BMC Psychiatry, July 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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1 news outlet
blogs
1 blog
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2 Facebook pages

Citations

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34 Dimensions

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139 Mendeley
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Title
Post-traumatic stress disorder associated with life-threatening motor vehicle collisions in the WHO World Mental Health Surveys
Published in
BMC Psychiatry, July 2016
DOI 10.1186/s12888-016-0957-8
Pubmed ID
Authors

Dan J. Stein, Elie G. Karam, Victoria Shahly, Eric D. Hill, Andrew King, Maria Petukhova, Lukoye Atwoli, Evelyn J. Bromet, Silvia Florescu, Josep Maria Haro, Hristo Hinkov, Aimee Karam, María Elena Medina-Mora, Fernando Navarro-Mateu, Marina Piazza, Arieh Shalev, Yolanda Torres, Alan M. Zaslavsky, Ronald C. Kessler

Abstract

Motor vehicle collisions (MVCs) are a substantial contributor to the global burden of disease and lead to subsequent post-traumatic stress disorder (PTSD). However, the relevant literature originates in only a few countries, and much remains unknown about MVC-related PTSD prevalence and predictors. Data come from the World Mental Health Survey Initiative, a coordinated series of community epidemiological surveys of mental disorders throughout the world. The subset of 13 surveys (5 in high income countries, 8 in middle or low income countries) with respondents reporting PTSD after life-threatening MVCs are considered here. Six classes of predictors were assessed: socio-demographics, characteristics of the MVC, childhood family adversities, MVCs, other traumatic experiences, and respondent history of prior mental disorders. Logistic regression was used to examine predictors of PTSD. Mental disorders were assessed with the fully-structured Composite International Diagnostic Interview using DSM-IV criteria. Prevalence of PTSD associated with MVCs perceived to be life-threatening was 2.5 % overall and did not vary significantly across countries. PTSD was significantly associated with low respondent education, someone dying in the MVC, the respondent or someone else being seriously injured, childhood family adversities, prior MVCs (but not other traumatic experiences), and number of prior anxiety disorders. The final model was significantly predictive of PTSD, with 32 % of all PTSD occurring among the 5 % of respondents classified by the model as having highest PTSD risk. Although PTSD is a relatively rare outcome of life-threatening MVCs, a substantial minority of PTSD cases occur among the relatively small proportion of people with highest predicted risk. This raises the question whether MVC-related PTSD could be reduced with preventive interventions targeted to high-risk survivors using models based on predictors assessed in the immediate aftermath of the MVCs.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 <1%
Unknown 138 99%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 15 11%
Researcher 14 10%
Student > Ph. D. Student 13 9%
Student > Bachelor 12 9%
Student > Master 11 8%
Other 29 21%
Unknown 45 32%
Readers by discipline Count As %
Medicine and Dentistry 27 19%
Psychology 24 17%
Nursing and Health Professions 10 7%
Social Sciences 9 6%
Business, Management and Accounting 4 3%
Other 13 9%
Unknown 52 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 11 October 2022.
All research outputs
#1,802,552
of 23,507,888 outputs
Outputs from BMC Psychiatry
#607
of 4,868 outputs
Outputs of similar age
#34,868
of 366,316 outputs
Outputs of similar age from BMC Psychiatry
#12
of 110 outputs
Altmetric has tracked 23,507,888 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,868 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 366,316 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.