Skip to main content

Prevalence and correlates of post-traumatic stress disorder among survivors of road traffic accidents in Ethiopia



Post-traumatic stress disorder is the most common mental disorders occurring among survivors of road traffic accident. However, research into post-traumatic stress disorder and correlates in low and middle-income countries is limited. To the best of our knowledge, there is no published study of the post-traumatic stress disorder and associated factors conducted in Ethiopia. Therefore, this study aimed to determine the prevalence of post-traumatic stress disorder and associated factors among survivors of road traffic accident.


Institution based cross-sectional study was conducted in May 2016. Data were collected using a pretested, structured, standardized post-traumatic stress disorder Checklist-Specific version (PCL-S) questionnaire. Systematic sampling technique was used to select the study participants. Binary logistic regression analysis was used to identify associated factors. Odds ratio with 95% CI was computed to assess the strength of associations.


The prevalence of post-traumatic stress disorder was found to be 22.8% (CI 19.2, 26.6) among survivors of road traffic accident. In the multivariable analysis, Being female [AOR = 2.23, 95% CI 1.40, 3.56], having poor social support [AOR = 2.1, 95% CI 1.34, 3.46], duration since accident (1–3 months) [AOR = 1.72, 95% CI 1.07, 2.76] and having depression [AOR = 3.46, 95% CI 1.99, 5.99] were significantly associated with PTSD among survivors of road traffic accident.


In the current study the magnitude of post-traumatic stress disorder was high. Being female, poor social support, duration since the accident (1–3 months) and depression were found to be significant predictors of post-traumatic stress disorders. The finding suggests a need for early screening for post-traumatic disorder among survivors of road traffic accidents.


Road traffic accidents are a large and growing public health burden, especially in low income and middle-income countries [1,2,3]. According to the World Health Organization (WHO) (2015), globally, more than 1.2 million people die each year on the world’s roads, making road traffic accidents a leading cause of death globally [4]. According to the study in central Ethiopia between July 2007 and June 2012, there were 2335 RTAs registered in the eight police stations total of 515 people died in 389 (16.7%) of the accidents, while 549 (31.5%) and 681 (39%) people were severely and slightly injured, respectively. In addition, 316 (13.5%) and 290 (12.4%) of the crashes caused severe and slight injuries, respectively. The remaining collisions brought about only property damage [5].

Road traffic accidents (RTAs) can have serious and long-lasting consequences for survivors, both in terms of physical and psychological outcomes [6, 7]. The traumatic event such as RTA has a capacity to provoke fear, fear, helplessness, or horror in response to the treatment of injury or death [8].

According to DSM-IV, to be diagnosed with Post-Traumatic Stress Disorder (PTSD), a person must have re-experiencing symptoms (e.g. intrusive memories, nightmares), avoidance (e.g. avoiding reminders of the trauma) and hyperarousal (e.g. insomnia, startle response). Although it can begin right after a traumatic event, it is not diagnosed unless the symptoms last for at least 1 month, and either causes significant distress or interfere with work or home life [9]. The disorder may occur in people of any age who have been exposed to one or more exceptionally threatening or horrifying events [10]. In the adult population, the lifetime prevalence of PTSD found in community-based studies in approximately 8% [9].

Worldwide, PTSD is known as the most frequent mental disorder occurring in the aftermath of traumatic exposure [11]. It refers to deep emotional wounds results from exposure to an overwhelmingly stressful event, such as war, rape, accidents or physical abuse [12]. The epidemiologic research found that a considerable proportion of RTA survivors will develop psychological disorders following a RTA [13]. PTSD is the most common disorder following RTAs [14]. Prevalence rates of PTSD following a RTA vary from 6 to 45% depending on the study [15, 16]. Multiple factors can affect PTSD including being female, prior exposure to traumatic event, family and personal mental disorder history, lower education, low income, presence of comorbid mental disorder, trauma intensity, witnessing deaths that occurred during the RTA, lack of social support, unemployment after the event, persistent physical problem following the RTA and involvement in litigation/compensation [15, 17,18,19,20,21].

PTSD can have long-lasting consequences for recovery if left untreated, and it is associated with functional impairments and decreased health-related quality of life [21, 22]. Somatic symptoms were endorsed significantly more often by those who screened positive for PTSD than those who did not [23, 24]. PTSD generally increases absence from work [24]. The disorder is associated with substantial co-morbidity, such as depression and substance misuses, and significant economic burden [10].

Evidence indicated that post-traumatic stress disorder is the most common mental disorder occurring among survivors of road traffic accident [11]. It is also associated with personal suffering, morbidity, disability as well as poor quality of life [8, 10, 21, 22]. Despite this burden and consequences, there is a limited literature on the magnitude of PTSD and associated among survivors of road traffic accident in low and middle-income countries. Therefore, this study was intended to fill the gaps by assessing the prevalence and associated factors of PTSD among survivors of road traffic accident. It also helps to integrate mental health service in a primary healthcare unit by early diagnosis and timely treatment of comorbid cases.


Study setting and design

Institution based cross-sectional study was conducted at public hospitals in May 2016, Addis Ababa, Ethiopia. Of the 13 hospitals which are in Addis Ababa (capital city of Ethiopia), five hospitals which have organized orthopedic outpatient departments and wards were selected for our study. The included hospitals are Yekatit 12 hospital, Alert, Minilik II referral hospital, St. Paul millennium medical college branch—AaBETorthopedic, and Tikur Anbessa specialized hospital.

Study population

The study population consisted of all adult survivors of RTAs who were on follow up at public hospitals in Addis Ababa who were included in the sample. Survivors of RTAs who were critically ill were excluded from the study.

Sampling procedure

The sample size was determined based on single population proportion formula using Epi-info version 7 with a 95% CI, 5% margin of error and taking prevalence of post-traumatic stress disorder 13% from Kenya study [19]. Assuming a 10% non-response rate a total sample size of 531 persons who survived road traffic accident was required. Systematic sampling technique was used to select the study participants. Sampling interval was determined by dividing the total study population who had follow-up during four weeks data collection period by total sample size then the starting point was randomly selected.

Data collection

Data were collected by trained psychiatry nurses. The questionnaire was pre-tested by taking 5% of the calculated sample size. The questionnaire contains socio-demographic characteristics (age, education, occupation, marital status and others). Clinical factors were collected by semi-structured questionnaires.

Data on the magnitude of posttraumatic stress disorder was collected through interview using standard PCL questionnaire. The post-traumatic stress disorder Checklist (PCL) come in three versions: the PCL-Military (PCL-M), PCL-Specific (PCL-S) and PCL-Civilian (PCL-C). Selected for this study is the PCLS, the PCL-S (specific) asks about symptoms in relation to an identified “stressful experience “The PCL-S aims to link symptom endorsements to a specified event. The PCL-S is a 17-item self-report measure reflecting DSM-IV symptoms of PTSD. Responses range from 1 to 5, and the total score is computed by summing all items. A total symptom severity score (range = 17–85) can be obtained by summing the scores from each of the 17 items that have response options ranging from 1 “Not at all” to 5 “Extremely”. The cut point is dependent on the population and use of the measure. When the estimated prevalence of PTSD will be on a range of 16–39% and the setting is specialized medical clinics (such as TBI or pain) a cut-off 36–44 on the PCL-S is a good predictor of a PTSD diagnosis. Higher scores indicate the probability of PTSD, while lower scores indicate no probability of having PTSD [25]. Nineteen studies examined total score internal consistency and all returned values above 0.75. Populations included Veteran samples, victims of interpersonal violence, among patients treated for breast cancer (0.87–0.92), patients with severe mental illness, and community adults [26, 27].

Social support was collected by Oslo 3-item social support scale, Oslo 3-item social support scale is 3-item questionnaire commonly used to assess’ social support and it has been used in several studies, the sum score scale ranging from 3 to 14, which has three broad categories: “poor support” 3–8, “moderate support” 9–11 and “strong support” 12–14 [28]. It is reliable in pretest (Cronbach’s α = 0.57) [26].

Depression was measured by using Patient Health Questionnaire-9 (PHQ-9) which is a 9-item depression screening and diagnostic questionnaire for MDD based on DSM-IV criteria with sensitivity 86% and specificity 67%. The PHQ-9 appears to be a reliable and valid instrument that may be used to diagnose MDD among Ethiopian adults [29].

Data processing and analyses

Data were analyzed using SPSS version 20. Description of means, frequencies, proportions, and rates of the given data for each variable was calculated. Bivariate analysis was done to see the association of each independent variable with the outcome variable. Those variables having a p-value less than 0.2 were entered the multivariate logistic regression model to identify the effect of each independent variable with the outcome variables. A p-value of less than 0.05 was considered statistically significant, and an adjusted odds ratio with 95% CI was calculated to determine the association.

Ethical consideration

Ethical clearance was obtained after approval from the Institutional Review Board (IRB) of the College of Medicine and Health Sciences, the University of Gondar and from Amanuel Mental Specialized Hospital. The data collectors have clearly explained the aims of the study to the study participants. Information was collected after obtaining written consent from each participant. In addition, we offered the participant the right to withdraw from the study at any time during the study period. Confidentiality was maintained throughout the study. Patients who were found to have post-traumatic stress disorder were referred for further investigations.


Socio-economic and demographic characteristics

A total of 492 participants were included in the study, yielding a response rate of 92.65%. The mean ((± SD) age of the respondents was 30.12 (± 7.02) years. Among the respondents, 167 (33.9%) were in the age range of 26–35 years, 313 (63.6%) were male, 250 (50.8%) were married, 158 (32.1%) were attended secondary school, 204 (41.6%) were government and nongovernment employee, while 72 (14.6) were students. The median monthly income of the participants was 2000 ranges from 800 to 3000 ETB (Table 1).

Table 1 Distribution of road traffic accident survivors attending orthopedic unit of public hospitals, Addis Ababa, Ethiopia, 2016 (n = 492)

The accident-related event, and clinical characteristics of the respondents

Regarding accident-related characteristics, the majority of the participant (367 (74.6%)) were admitted after the accident and treated by surgical intervention, 117 (23.8%) of the participant received compensation for the accident, and 48 (9.8%) of the respondents witnessed the death of someone during the same accident.

From the total study participants, about 82 (16.7%) had depression, 7 (1.4%) had history of mental illness, 22 (4.5%) had a family history of mental illness and 40 (8.1%) had co-morbid medical or surgical illness. Regarding site of injury, about 275 (55.9%) had lower limb injury and 163 (33.13%) had upper extremity injury. In addition, about 230 (46.7%) were interviewed within 1–3 months of their accidents (Table 2).

Table 2 Description of accident related and clinical factors among road traffic accident survivors attending orthopedic unit of public hospitals, Addis Ababa, Ethiopia, 2016 (n = 492)

Psychosocial and substance-related factors of the respondent’s

About one-third of the participant with PTSD (190 (30.5%)) had poor social support, 208 (21.2%) had intermediate social support and 94 (10.6%) of the respondents had strong social support. Regarding current and lifetime substance use, more than half of the respondents (286 (58.1%) were lifetime alcohol users, and about half of the participants (253 (51.4%)) were current alcohol users (see Fig. 1).

Fig. 1
figure 1

Substance related characteristics of road traffic accident survivors attending orthopedic unit of public hospitals, Addis Ababa, Ethiopia, 2016

The prevalence of PTSD

In the current study, the magnitude of post-traumatic stress disorder was 22.8% with a CI of (19.2–26.6%). The prevalence rate was higher among females (32.4%) compared to males (17.25%). About 45.12% of the participants with PTSD had comorbid depression.

Factors associated with PTSD

Multivariable logistic regression revealed the sex of the respondent, social support, duration since accident and depression had also shown significance. Females were 2.23 times more likely developed PTSD than males (AOR = 2.23, 95% CI 1.40, 3.56), those who had poor social support more likely developed PTSD than their counterparts (AOR = 2.1, 95% CI 1.34, 3.46), the odds of developing PTSD among those with depression were 3.46 times higher as compared to those without depression (AOR = 3.46, 95% CI 1.99, 5.99) and participants who had 1–3 months length time post-accident were 1.72 times more likely developed PTSD than respondents who experienced RTA more than 3 months of duration (AOR = 1.72, 95% CI 1.07, 2.76) (Table 3).

Table 3 Bivariate and multivariable analysis of factors associated with post-traumatic stress disorder among road traffic accident survivors attending orthopedic unit of public hospitals, Addis Ababa, Ethiopia, 2016 (n-492)


The prevalence of PTSD

In this study, the prevalence of PTSD among survivors of RTAs and their possible associations with different variables were assessed. The findings from the current survey revealed a significant proportion of peoples who experienced RTA had PTSD. The prevalence of PTSD was found to be 22.8% (CI 19.2, 26.6) among survivors of RTA. The magnitude of this study was in line with the study done in Iran which was 19.2% [30], the finding also agreed with that of South Africans’ study who reported a PTSD prevalence of 22.9% at 1 month, about 19.6% percent at 3 months among trauma victims [31] and that of Nigerian study at 26.7% [32]. However, the finding of this study was lower than the Serbian study 36% [33]. The magnitude of PTSD among road traffic accident survivors vary widely as a result of the country of study, sample size, the time point of PTSD assessment and measure used to assess PTSD [15].

Contrarily, the finding of this study was higher compared to Kenya 13.3% [19] and study from Cape Town, revealed 12.2% of PTSD [31]. The possible explanation for the observed differences could be the difference in tool, which is Kenya’s study used both IES-R for screening and thereafter an experienced mental health clinician used the structured psychiatric interview (SPI) and the Diagnostic and Statistical Manual (DSM-IV) to make a diagnosis but the current study used only PCL-S which is a screening tool. In the case of South African’ study, the study was conducted 6-month of the post-accident period, but the current study assessed all RTA survivors from 1 month of the post-accident period.

Factors associated with PTSD

This study revealed that factors associated with PTSD for RTA survivors are being female, poor social support, depression and time length post-accident [1,2,3] months. The odds of developing PTSD among females was two times (AOR = 2.23, 95% CI 1.40, 3.56) compared to males following RTA. This may be due to different ways of responding to danger and expressing distress in two sexes and females have found to be more likely than males to experience intense fear, horror, or helplessness in response to a traumatic event. The finding was supported by other studies from Nigeria [18]. Studies conducted in different areas on gender differences in PTSD after MVA revealed the risk of developing PTSD at 1 month was 4.39 times greater in women than men and other meta-analyses of sex differences in the development of PTSD support the current finding [17, 34, 35].

Social support was significantly associated with PTSD in which those participants with poor social support were more than two times (AOR = 2.1, 95% CI 1.34, 3.46) more likely to have PTSD respectively as compared to those with strong social support. This is maybe because not having strong social support after exposure to traumatic injury may lead to poor mental health since positive social support appears to mitigate the negative effects of traumatic injury and those who have poor social support may not develop proper coping strategies after trauma. The current finding is supported by a study from New York on social bonds and PTSD which explains social support as a robust predictor of PTSD [15, 20].

In addition, depression was significantly associated with the presence of PTSD in this study. Those patients with depression were more than three times (AOR = 3.46, 95% CI 1.99, 5.99) more likely to have PTSD as compared to their counterparts. This could be due to the fact of having another psychiatric diagnosis increase the risk of developing PTSD and poor long-term health outcomes including impaired physical functioning and lower self-reported quality of life may contribute. The current finding was supported by international studies from Cape Town [31] and Nigeria [18].

Furthermore, duration since accident, is found to be significantly associated with PTSD; the odds of developing PTSD among patients who were experienced road traffic accident 1 to 3 month before data collection time were 1.72 times (AOR = 1.72; 95%CI 1.02, 2.76) more likely to have PTSD as compared to patients who were injured before 3 months of data collection time. The reason could be the gradual decline over the course of the year. This finding was supported by studies from California [17] and South Africa [31].

However, there has been disagreement in the literature regarding whether or not marital status, site of injury, involvement in litigation/compensation predicts later PTSD [24, 36, 37], who reported a positive association between marital status, occupational status, and site of injury. The possible reason could be the difference in time of study and the possible methodological difference in conducting the studies.

The strength and limitation of the study

The study has several strengths. First, the sample is large and from a well-defined catchment area. Second, we used the standardized instrument for measuring PTSD (post-traumatic stress checklist-specific version (PCL-S)).

A limitation of the study is that since the study assessed only the latest RTA that subjects were being treated for. Other different traumas that could have occurred in the subjects’ lifetime were not taken into account. These could have an influence on these results. Another limitation is due to the cross-sectional nature of the study of the association between different factors and PTSD does not imply causation.


In the current study, the magnitude of PTSD was high. Female sex, having poor social support, having depression and duration since accident [1,2,3] months were significantly associated with PTSD. Orthopedic clinics should develop guidelines to screen and treat PTSD among survivors from a RTA. Further research on risk factors of PTSD should be conducted to strengthen and broaden the current findings.


  1. Silas O, Adoga A, Isichei C, Echejoh G, Manasseh M, Olu-Silas R. Road traffic accident deaths as seen in a Tertiary Health Centre Jos University Teaching Hospital (JUTH). North Central, Nigeria: Jos; 2011.

    Google Scholar 

  2. Bun E. Road traffic accidents in Nigeria: a publichealth problem. Afrimedic J. 2012;3(2):34–5.

    Google Scholar 

  3. Hazen A, Ehiri JE. Road traffic injuries: hidden epidemic in less developed countries. J Natl Med Assoc. 2006;98(1):73.

    PubMed  PubMed Central  Google Scholar 

  4. Organization WH. Global status report on road safety 2013: supporting a decade of action: summary. Geneva: World Health Organization; 2013.

    Google Scholar 

  5. Mekonnen FH, Teshager S. Road traffic accident: the neglected health problem in Amhara National Regional State, Ethiopia. Ethiop J Health Dev. 2014;28(1):3–10.

    Google Scholar 

  6. Hassen A, Godesso A, Abebe L, Girma E. Risky driving behaviors for road traffic accident among drivers in Mekele city, Northern Ethiopia. BMC Res Notes. 2011;4(1):535.

    Article  Google Scholar 

  7. Gopinath B, Jagnoor J, Harris IA, Nicholas M, Maher CG, Casey P, et al. Comparison of health outcomes between hospitalised and non-hospitalised persons with minor injuries sustained in a road traffic crash in Australia: a prospective cohort study. BMJ Open. 2015;5(9):e009303.

    Article  Google Scholar 

  8. Seid M, Azazh A, Enquselassie F, Yisma E. Injury characteristics and outcome of road traffic accident among victims at Adult Emergency Department of Tikur Anbessa specialized hospital, Addis Ababa, Ethiopia: a prospective hospital based study. BMC Emerg Med. 2015;15(1):10.

    Article  Google Scholar 

  9. Friedman MJ, Keane TM, Resick PA. Handbook of PTSD: science and practice. New York: Guilford Press; 2007.

    Google Scholar 

  10. American Psychiatric Association. Diagnostic and statistical manual of mental disorders-IV-TR. Washington, DC: American Psychiatric Association; 2000.

    Google Scholar 

  11. Apolone G, Mosconi P, La Vecchia C. Post-traumatic stress disorder. N Engl J Med. 2002;346(19):1495.

    Article  Google Scholar 

  12. Mauri M, Petracca A, Miniati M, Fratta S, Fui E, Giunti I, et al. Estimates of prevalence and criteria comparison in DSM-5 versus DSM-IV-TR post-traumatic stress disorder in 111 survivors to the 2009 railway accident in Viareggio-Italy. Int J Emerg Ment Health. 2015;17(3):609–15.

    Article  Google Scholar 

  13. Mayou R, Bryant B, Ehlers A. Prediction of psychological outcomes one year after a motor vehicle accident. Am J Psychiatry. 2001;158(8):1231–8.

    Article  CAS  Google Scholar 

  14. Mayou R, Bryant B. Outcome 3 years after a road traffic accident. Psychol Med. 2002;32(4):671–5.

    PubMed  Google Scholar 

  15. Heron-Delaney M, Kenardy J, Charlton E, Matsuoka Y. A systematic review of predictors of posttraumatic stress disorder (PTSD) for adult road traffic crash survivors. Injury. 2013;44(11):1413–22.

    Article  Google Scholar 

  16. Mosaku K, Akinyoola A, Olasinde A, Orekha O. Predictors of posttraumatic stress in patients admitted to a trauma unit following road traffic accident (RTA). J Psychiatry. 2014;17:121.

    Article  Google Scholar 

  17. Hoskins M, Pearce J, Bethell A, Dankova L, Barbui C, Tol WA, et al. Pharmacotherapy for post-traumatic stress disorder: systematic review and meta-analysis. Br J Psychiatry. 2015;206(2):93–100.

    Article  Google Scholar 

  18. Iteke O, Bakare MO, Agomoh AO, Uwakwe R, Onwukwe JU. Road traffic accidents and posttraumatic stress disorder in an orthopedic setting in south-eastern Nigeria: a controlled study. Scand J Trauma Resusc Emerg Med. 2011;19(1):39.

    Article  Google Scholar 

  19. Ongecha-Owuor F, Kathuku D, Othieno C, Ndetei D. Post traumatic stress disorder among motor vehicle accident survivors attending the orthopaedic and trauma clinic at Kenyatta National Hospital, Nairobi. East Afr Med J. 2004;81(7):362–6.

    Article  CAS  Google Scholar 

  20. Hourani L, Williams J, Bray RM, Wilk JE, Hoge CW. Gender differences in posttraumatic stress disorder and help seeking in the US Army. J Women’s Health. 2016;25(1):22–31.

    Article  Google Scholar 

  21. Charuvastra A, Cloitre M. Social bonds and posttraumatic stress disorder. Annu Rev Psychol. 2008;59:301–28.

    Article  Google Scholar 

  22. Laffaye C, Cavella S, Drescher K, Rosen C. Relationships among PTSD symptoms, social support, and support source in veterans with chronic PTSD. J Trauma Stress. 2008;21(4):394–401.

    Article  Google Scholar 

  23. Qi W, Gevonden M, Shalev A. Prevention of post-traumatic stress disorder after trauma: current evidence and future directions. Curr Psychiatry Rep. 2016;18(2):20.

    Article  Google Scholar 

  24. Haagsma JA, Polinder S, Olff M, Toet H, Bonsel GJ, van Beeck EF. Posttraumatic stress symptoms and health-related quality of life: a two year follow up study of injury treated at the emergency department. BMC Psychiatry. 2012;12(1):1.

    Article  Google Scholar 

  25. Wilkins KC, Lang AJ, Norman SB. Synthesis of the psychometric properties of the PTSD checklist (PCL) military, civilian, and specific versions. Depress Anxiety. 2011;28(7):596–606.

    Article  Google Scholar 

  26. Maselesele VM, Idemudia ES. The role of social support in the relationship between mental health and posttraumatic stress disorder amongst orthopaedic patients. Curationis. 2013;36(1):1–7.

    Article  Google Scholar 

  27. Chossegros L, Hours M, Charnay P, Bernard M, Fort E, Boisson D, et al. Predictive factors of chronic post-traumatic stress disorder 6 months after a road traffic accident. Accid Anal Prev. 2011;43(1):471–7.

    Article  Google Scholar 

  28. Abiola T, Udofia O, Zakari M. Psychometric properties of the 3-item oslo social support scale among clinical students of Bayero University Kano, Nigeria. Malays J Psychiatry. 2013;22(2):32–41.

    Google Scholar 

  29. Gelaye B, Williams MA, Lemma S, Deyessa N, Bahretibeb Y, Shibre T, et al. Validity of the patient health questionnaire-9 for depression screening and diagnosis in East Africa. Psychiatry Res. 2013;210(2):653–61.

    Article  Google Scholar 

  30. Sadat Z, Abdi M, Aghajani M. Prevalence of posttraumatic stress disorder and related factors among patients discharged from critical care units in Kashan, Iran. Arch Trauma Res. 2015;4(4):e28466.

    Article  Google Scholar 

  31. Dickov A, Martinović-Mitrović S, Vučković N, Siladji-Mladenović D, Mitrović D, Jovičević M, et al. Psychiatric consequences of stress after a vehicle accident. Psychiatr Danub. 2009;21(4):483–9.

    PubMed  Google Scholar 

  32. Iteke O, Bakare MO, Agomoh AO, Uwakwe R, Onwukwe JU. Road traffic accidents and posttraumatic stress disorder in an orthopedic setting in South-Eastern Nigeria: a controlled study. Scand J Trauma Resusc Emerg Med. 2011;19:39.

    Article  Google Scholar 

  33. Saberi H, Abbasian H, Kashani MM, Esfahani AN. Post-traumatic stress disorder: a neglected health concern among commercial motor vehicle drivers. Int J Occup Environ Med. 2013;4:185–94.

    CAS  PubMed  Google Scholar 

  34. Brewin CR, Andrews B, Valentine JD. Meta-analysis of risk factors for posttraumatic stress disorder in trauma-exposed adults. J Consult Clin Psychol. 2000;68(5):748.

    Article  CAS  Google Scholar 

  35. Fullerton CS, Ursano RJ, Epstein RS, Crowley B, Vance K, Kao T-C, et al. Gender differences in posttraumatic stress disorder after motor vehicle accidents. Am J Psychiatry. 2001;158(9):1486–91.

    Article  CAS  Google Scholar 

  36. Ditlevsen DN, Elklit A. The combined effect of gender and age on post traumatic stress disorder: do men and women show differences in the lifespan distribution of the disorder? Ann Gen Psychiatry. 2010;9(1):32.

    Article  Google Scholar 

  37. Halligan SL, Yehuda R. Risk factors for PTSD. PTSD Res Q. 2000;11(3):1–3.

    Google Scholar 

Download references

Authors’ contributions

KY conceived the study and was involved in the study design, reviewed the article, analysis, report writing and drafted the manuscript GA, AG, and TA was involved in the study design, analysis and drafted the manuscript. All authors read and approved the final manuscript.


The authors acknowledge Amanuel mental specialized hospital for funding the study. The authors appreciate the study participants for their cooperation in providing the necessary information.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Ethical approval was obtained from the Institutional Review Board of the public hospital in Addis Ababa, University of Gondar and Amanuel Mental Specialized. Individuals who agreed to participate gave written consent. For those who were not literate, independent witnesses were invited to sign to indicate that the information had been read out correctly. Non-literate participants then gave a fingerprint to indicate consent. Confidentiality was maintained by omitting identifiers from the computer and privacy was ensured during the interview. All participants were given an information sheet and were only included in the study after providing informed consent.


This research work is funded by the Amanuel mental specialized hospital.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Kalkidan Yohannes.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yohannes, K., Gebeyehu, A., Adera, T. et al. Prevalence and correlates of post-traumatic stress disorder among survivors of road traffic accidents in Ethiopia. Int J Ment Health Syst 12, 50 (2018).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: