Cited by 40Posttraumatic Stress Disorder ResearchTraumatic Brain Injury ResearchTraffic and Road Safety

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

Open access
Stein, Dan J., Karam, Elie G., Shahly, Victoria, Hill, Eric D., King, Andrew, Petukhova, Maria, Atwoli, Lukoye, Bromet, Evelyn J. +11 more·2016·BMC Psychiatry

Abstract

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/s12888-016-0957-8

Cites

60 of 62 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Prior WMH analyses have found models with dummy variables for three and four or more disorders and constant multiplier constraints to be useful.

    “Models of this form have been shpwn to be useful in a number of prior WMH analyses (e.g., Stein et al. 2016; McGrath et al. 2016).”

    From Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) surveys (2018) · cites this paper as Stein et al. 2016

    In Results > Predictors of PTSD (page unavailable), Stein et al. use a model in which each additional prior anxiety disorder from zero to three has the same incremental odds ratio. This supports the constant-multiplier aspect, but our copy does not show dummy variables for three and four or more disorders; it says three was the maximum count with enough respondents for a stable estimate. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Part of this paper’s reference list could not be split into single entries.

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Stein, D. J., Karam, E. G., Shahly, V., Hill, E. D., King, A., Petukhova, M., Atwoli, L., Bromet, E. J., Florescu, S., Haro, J. M., Hinkov, H., Karam, A., Medina-Mora, M. E., Navarro-Mateu, F., Piazza, M., Shalev, A., Torres, Y., Zaslavsky, A. M., & Kessler, R. C.
Affiliations
  • University of Cape Town (ZA)
  • University of Balamand (LB)
  • Harvard University (US)
  • Moi University (KE)
  • Stony Brook School (US)
  • National School of Public Health, Management and Professional Development (RO)
  • Parc Sanitari Sant Joan de Déu (ES)
  • National Center of Public Health and Analyses (BG)
  • NYU Langone Health (US)
  • Universidad CES (CO)
Corresponding author
Stein, Dan J.
Venue
BMC Psychiatry
Published
2016-07-22
Volume
16
Issue
1
Pages
257-257
ISSN
1471-244X (ISSN-L)
OpenAlex
W2486857726
Cited by
40
References
60
Citations by year
2026: 1 · 2025: 2 · 2024: 2 · 2023: 3 · 2022: 10 · 2021: 8 · 2020: 4 · 2019: 4 · 2018: 2 · 2017: 3 · 2016: 1
FWCI
4.46
Type
journal article
Language
en
Open access
Locations
  • BMC Psychiatry (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RECERCAT (Consorci de Serveis Universitaris de Catalunya) (publishedVersion, other-oa)
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
  • eCommons - AKU (Aga Khan University) (submittedVersion)
  • Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) (submittedVersion, cc-by)
  • Open University of Cape Town (University of Cape Town) (submittedVersion, cc-by)
Funders
  • National Institute of Mental Health (RO1 MH070884)
  • U.S. Public Health Service (R13-MH066849, R01-MH069864, R01-DA016558)
  • Fogarty International Center (FRICA RO3-TW006481)
Topics
  • Social Sciences › Psychology › Clinical Psychology › Posttraumatic Stress Disorder Research
  • Health Sciences › Medicine › Epidemiology › Traumatic Brain Injury Research
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
Keywords
post-traumatic stress disorder, traffic accidents, PTSD prevalence, PTSD risk factors, trauma survivors, PTSD prevention, cross-national comparison
MeSH terms
Accidents, Traffic, Adolescent, Adult, Child, Child, Preschool, Female, Health Surveys, Humans, Infant, Life Change Events, Male, Surveys and Questionnaires, Stress Disorders, Post-Traumatic, Prevalence, Diagnostic and Statistical Manual of Mental Disorders, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review