Study
Country
Design
N
PTE prevalence
PTSD assessment (instrument; criteria; index event)
PTSD prevalence
de Jong et al. (2001)**
Algeria
Randomly selected residents from Gouvernorat d’Algiers
653
War related (1*): 91.9 %
CIDI; DSM-IV; all PTEs
Lifetime: 37.4 %
Australia
Australian National Survey of Mental Health and Wellbeing (2007). Nationally representative sample (18–65)
8,841
Any PTE (29), 74.9 %; childhood (1*), 10.1 %; sexual (1*), 9.6 %
CIDI, modified; DSM-IV; worst
Lifetime, 7.2 %; past year, 4.4 %
War related (1*), 4.1 %; disaster (1*), 8.4 %; bereavement (1), 34.4 %
Ikin et al. (2004)**
Australia
Entire cohort of Gulf War veterans
1,381
–
CIDI; DSM-IV; unspecified
Lifetime, 1.3 % (prewar onset), 5.3 % (postwar onset); past year, 5.1 %
Rosenman (2002)
Australia
National Survey of Mental Health and Wellbeing (1997). Nationally representative sample (18+)
10,641
Any PTE (10), 57.4 %; sexual (1*), 10.6 %; war related (1), 3.2 %; disaster (1), 16.8 %
CIDI, modified; DSM-IV, ICD-10; worst
Past year: 1.5 % (DSM-IV), 3.6 % (ICD-10)
O’Toole et al. (1996)**
Australia
Australian Vietnam Veterans Health Study. National random sample of veterans who served from 1962 to 1972
641
–
DIS, AUSCID, Mississippi Scale; DSM-III; various
Lifetime, 17.1 % (DIS, all events), 11.7 % (DIS, combat related, 20.9 % (AUSCID); current, 11.6 % (AUSCID), 8.1 % (Mississippi)
Darves-Bornoz et al. (2008)
Belgium
ESEMeD. Nationally representative sample (18+)
1,043
–
CIDI; DSM-IV; worst
Past year: 0.8 %
Karam et al. (2013)
Brazil
São Paulo Megacity Study. Representative sample of the São Paulo metropolitan area (18+)
2,942
–
CIDI; DSM-IV; worst and random
Past year: 1.0 %
Karam et al. (2013)
Bulgaria
Bulgaria National Survey of Health and Stress. Nationally representative sample (18+)
2,233
–
CIDI; DSM-IV; worst and random
Past year: 0.9 %
de Jong et al. (2001)**
Cambodia
Randomly selected residents from three areas: (1) Odamgang I Commune in Sangke District in the Battambang province; (2) Veal Pong Commune in the Udong District in the Kampong Speu province; (3) Sang Kat Psar Doeum Kor in the capital, Phnom Penh
610
War related (1*): 74.4 %
CIDI; DSM-IV; all PTEs
Lifetime: 28.4 %
Canada
Canadian Community Health Survey – Canadian Forces Supplement. Representative sample of active Canadian Forces members (16–64)
8,441
–
CIDI; DSM-IV: worst
Lifetime, 6.5 %; past year, 2.3 %
Van Ameringen et al. (2008)
Canada
Nationally representative sample (18+)
2,991
Any PTE (18), 75.9 %; childhood (1), 9.3 %; sexual (1*), 21.9 %; war related (1*), 4.3 %; disaster (1), 15.6 %; bereavement (1), 41.1 %
Canadian Community Health Survey (based on CIDI); DSM-IV; worst
Lifetime, 9.2 %; current, 2.4 %
Benitez et al. (2009)
Chile
Chilean Study of Psychiatric Prevalence. Representative household sample in Santiago, Concepción, Cautín, and Iquique (15+)
2,978
Any PTE (11), 46.7 % (males), 33.2 % (females); sexual (1), 3.8 % (females), 1.0 % (males); war related (1), 0.1 % (females), 0.7 % (males); disaster (1), 5.6 % (females), 8.0 % (males); bereavement (1), 3.4 % (females), 1.8 % (males)
CIDI; DSM-III-R; unspecified
Lifetime: 4.4 %
Karam et al. (2013)
Colombia
Colombian National Study of Mental Health. Representative sample of urban areas (18–65)
2,381
–
CIDI; DSM-IV; worst and random
Past year: 0.3 %
Elkit (2002)
Denmark
Nationally representative sample of 8th graders (13–15)
390
Any PTE (20), 88.0 %; childhood (1*), 7.4 %; sexual (1*), 1.8 %; bereavement (1), 51.8 %
HTQ; DSM-III-R; worst
Lifetime: 9.0 %
Soosay et al. (2012)
East Timor
Whole population survey of two villages, one urban and one rural, broadly representative of the national population (18+)
1,245
Any PTE (16), 100 %; war related (1), 34.3 %; disaster (1*), 76.3 %; bereavement (1*), 18.3 %
HTQ; DSM-IV; unspecified
Current: 5.0 %
de Jong et al. (2001)**
Ethiopia
Randomly selected Eritrean refugees from temporary shelters in Addis Ababa
1,200
War related (1*), 78.0 %
CIDI; DSM-IV; all PTEs
Lifetime: 15.8 %
Darves-Bornoz et al. (2008)
France
ESEMeD. Nationally representative sample (18+)
1,436
–
CIDI; DSM-IV; worst
Past year: 2.3 %
de Jong et al. (2001)**
Gaza
Randomly selected residents of 3 refugee camps, 3 cities, and 2 resettlement areas
653
War related (1*): 59.3 %
CIDI; DSM-IV; all PTEs
Lifetime: 17.8 %
Hauffa et al. (2011)
Germany
Nationally representative household sample (14+)
2,510
Any PTE (12), 23.8 %; childhood (1), 1.5 %; sexual (1), 1.2 %; war related (1*), 5.5 %; disaster (1), 0.6 %
PSS; DSM-IV; unspecified
Lifetime: 2.9 %
Darves-Bornoz et al. (2008)
Germany
ESEMeD. Nationally representative sample (18+)
1,323
–
CIDI; DSM-IV; worst
Past year: 0.7 %
Maercker et al. (2008)
Germany
Nationally representative sample (14–93)
2,426
Any PTE (12), 28.0 % (females), 20.9 % (males); childhood (1), 1.2 %; sexual (1), 0.8 %; war related (1*), 8.2 %; disaster (1), 0.8 %
PSS, modified; DSM-IV; unspecified
Past month: 2.3 %
Bödvarsdottír and Elklit (2007)
Iceland
Nationally representative sample of 9th graders (13–15)
206
Any PTE (20), 77 %; sexual (1*), 3.9 %; childhood (1*), 5.8 %; bereavement (1), 42.7 %
HTQ; DSM-IV; worst
PTSD-like state at time of the event: 6.0 %
Alhasnawi et al. (2009)
Iraq
Iraq Mental Health Survey. Nationally representative household sample (18+)
4,332
–
CIDI; DSM-IV; unspecified
Lifetime, 2.5 %; past year, 1.1 %
Karam et al. (2013)
Israel
Israel National Health Survey. Nationally representative sample (21+)
4,849
–
CIDI; DSM-IV; worst
Past year: 0.4 %
Darves-Bornoz et al. (2008)
Italy
ESEMeD. Nationally representative sample (18+)
1,779
–
CIDI; DSM-IV; worst
Past year: 0.7 %
Kawakami et al. (2014)
Japan
WMH Japan Survey. Random sample from 1 metropolitan city, 2 urban cities, 8 rural municipalities (20+)
1,682
Any PTE (29), 60.7 %; childhood (1), 6.9 %; sexual (3), 4.3 %; war related (7), 8.7 %; bereavement (1), 23.7 %
CIDI; DSM-IV; worst and random
Lifetime, 1.3 %; past year, 0.7 %; past month, 0.2 %
Lebanon
Lebanese Evaluation of the Burden of Ailments and Needs of the Nation study. Nationally representative (18+)
2,857
War related (10): 68.8 %
CIDI; DSM-IV; unspecified
Lifetime, 3.4 %; past year, 1.6 %
Johnson et al. (2008)
Liberia
Nationally representative household sample (18+)
1,666
Sexual (1), 42.3 % (female former combatants), 9.2 % (female noncombatants), 32.6 % (male former combatants), 7.4 % (male former combatants); war related (1), 33.0 %
PSS, modified; DSM-IV; unspecified
Past month: 44 %
Domanskaité-Gota et al. (2009)
Lithuania
National representative sample of 9th graders (13–17)
183
Any PTE (2): 80.2 %. Childhood (1*), 4.4 %; sexual (1*), 4.4 %; bereavement (1), 24.2 %
HTQ; DSM-IV; worst
Lifetime: 6.1 %
Mexico
National Study of Psychiatric Epidemiology. Nationally representative sample (18–65)
5,286
Any PTE (28), 68 %; childhood (1), 18.3 %; sexual (1*), 5.4 %; war related (1), 1.0 %; disaster (1), 13.7 %; bereavement (1), 26.9 %
CIDI; DSM-IV, ICD-10; worst
Lifetime, 1.5 % (DSM-IV), 2.6 % (ICD-10); past year, 0.3 % (DSM-IV), 0.6 % (ICD-10); past month, 0.2 % (ICD-10)
Kadri et al. (2007)
Morocco
Representative household sample of Casablanca City residents (15+)
800
Any PTE (unspecified): 12.1 %
MINI; DSM-IV; unspecified
Current: 3.4 %
Bronner et al. (2009)
Netherlands
National representative sample (18+)
2,238
Any PTE (12), 52.2 %; sexual (1*), 7.6 %; war related (1), 1.9 %; disaster (1), 11.1 %; bereavement (1), 9.3 %
–
–
de Vries and Olff (2009)
Netherlands
Nationally representative sample (18–80)
1,087
Any PTE (36): 80.7 %. Childhood (1), 3.9 %; sexual (1*), 3.7 %; war related (1*), 16.3 %; disaster (1*), 7.5 %; bereavement (5), 51.4 %
CIDI; DSM-IV; worst
Lifetime: 7.4 %
Darves-Bornoz et al. (2008)
Netherlands
ESEMeD. Nationally representative sample (18+)
1,094
–
CIDI; DSM-IV; worst
Past year: 2.6 %
Karam et al. (2013)
New Zealand
New Zealand Mental Health Survey. Nationally representative sample (18+)
7,312
–
CIDI; DSM-IV; worst and random
Past year: 2.1 %
Bunting et al. (2013)
Northern Ireland
Northern Ireland Study of Health and Stress. Nationally representative household sample (18+)
1,986
Any PTE (28): 60.6 %. War related (12): 39.0 %
CIDI; DSM-IV; worst
Lifetime: 8.8 %; past year: 5.1 %
Karam et al. (2013)
People’s Republic of China
Beijing and Shanghai WMH Surveys. Representative sample of Beijing and Shanghai metropolitan areas (18–70)
1,628
–
CIDI; DSM-IV; worst and random
Past year: 0.2 %
de Albuquerque et al. (2003)
Portugal
Nationally representative sample of adults (18+)
2,606
Any PTE (10), “around 75 %”; sexual (1*), 0.9 %; war related (1), 7.4 %; disaster (1), 16.7 %; bereavement (1), 29.3 %
Short screening scale; DSM-IV; worst
Current: 7.9 %
Florescu et al. (2009)
Romania
Mental Health Study in Romania. Nationally representative household sample (18+)
2,357
–
CIDI; DSM-IV; unspecified
Past year: 0.7 %
Atwoli et al. (2013)
South Africa
South African Stress and Health Study. Nationally representative sample of household and hotel residents (18+)
4,315
Any PTE (27), 73.8 %; childhood (1), 12.9 %; sexual (3), 7.6 %; war related (6), 12.2 %; disaster (1*), 4.1 %; bereavement (1), 39.2 %
CIDI; DSM-IV; random
Lifetime, 2.3 %; past year, 0.7 %
Jeon et al. (2007)
South Korea
Korean Epidemiologic Catchment Area study. Nationally representative household sample (18–64)
6,258
Any PTE (1): 33.3 %. Sexual (1): 2.3 %. War related (1): 1.6 %. Disaster (1): 5.4 %
CIDI, Korean version; DSM-IV; worst
Lifetime: 1.7 %
Karam et al. (2013)
Spain
ESEMeD. Nationally representative sample (18+)
2,121
–
CIDI; DSM-IV; worst
Past year: 0.6 %
Landolt et al. (2013)
Switzerland
Nationally representative sample of 9th grade public school students (ages 12–20+, mean: 15.5)
6,787
Any PTE (13), 56.4 %; childhood (1), 6.9 %; sexual (1), 3.1 %; war related (1), 5.6 %; disaster (1*), 14.4 %; bereavement (1), 22.4 %
Adolescent version of the UCLA PTSD Reaction Index; DSM-IV; unspecified
Lifetime (for participants who experienced PTEs): 7.4 %
Karam et al. (2013)
Ukraine
Comorbid Mental Disorders during Periods of Social Disruption. Nationally representative sample (18+)
1,719
–
CIDI; DSM-IV; worst and random
Past year: 2.0 %
United Kingdom
2007 Adult Psychiatric Morbidity Survey. Nationally representative household sample (16+)
7,353
Childhood (1), 2.9 %; sexual (1*), 8.7 %
Trauma Screening Questionnaire; DSM-IV; unspecified
Past week (for n = 7,325): 2.9 %
Fear et al. (2010)**
United Kingdom
Three random military samples: (1) members deployed to Iraq from 1/2003 to 4/2003; (2) members deployed to Afghanistan from 4/2006 to 4/2007; and (3) replenishment sample of enlistees since 4/2003
9,990
–
PCL; DSM-IV; unspecified
Current: 4.2 % (regulars, deployed), 4.0 % (regulars, not deployed), 5.0 % (reservists, deployed), 1.8 % (reservists, not deployed)
McLaughlin et al. (2013)
United States
National Comorbidity Survey-Replication, Adolescent Supplement. Nationally representative household and school sample (13–17)
10,123
Any PTE (19), 61.8 %; childhood (1), 2.0 %; sexual (1*), 3.8 %; disaster (1), 14.8 %; bereavement (1), 28.2 %
CIDI; DSM-IV; worst
Lifetime: 4.7 %
United States
National Epidemiological Survey of Alcohol and Related Conditions. Nationally representative sample of noninstitutionalized adults (18+) living in households or group quarters; oversampling of Blacks, Hispanics, and persons 18–24 years old
34,653
Sexual (1), 8.7 %; disaster (1), 15.7 %; bereavement (1), 41.6 %
Module from the Alcohol Use Disorders and Associated Disabilities Interview Schedule; DSM-IV; worst
Lifetime: 6.4 %
United States
National Survey of Adolescents-Replication. Nationally representative household sample of English-speaking adolescents (12–17)
3,614
Sexual (1): 7.5 %
PTSD module of the National Survey of Adolescents and National Women’s Study; DSM-IV; unspecified
Past 6 months: 3.9 %
Smith et al. (2008)**
United States
Millennium Cohort Study. National population-based study of active duty and Reserve/National Guard personnel, pre- and post-deployment
50,128
–
PCL-C; DSM-IV; unspecified
Current, new onset, 7.6 % (deployed, exposed), 1.4 % (deployed, not exposed), 2.3 % (not deployed); current, persistent, 43.5 % (deployed, exposed), 26.2 % (deployed, not exposed), 47.6 % (not deployed)
United States
National Comorbidity Survey-Replication. Nationally representative sample of English-speaking adults (18+)
5,692
Any PTE (26), 86.9 %; childhood (1*), 19.0 %; sexual (1*), 19.1 %; war related (5), 10.4 %
CIDI; DSM-IV; worst and random
Past year: 3.5 %
Kang et al. (2003)**
United States
National Health Survey of Gulf War Era Veterans and Their Families. Random samples of Gulf and non-Gulf veterans
20,917
–
PCL; DSM-III; unspecified
Current: 12.1 % (Gulf veterans), 4.2 % (non-Gulf veterans)
United States
National Survey of Adolescents. Nationally representative sample (12–17)
4,023
Any PTE (24), 83.3 %; sexual (1), 13.0 % (females), 3.4 % (males)
Modified PTSD module from the National Women’s Study; DSM-IV; unspecified
Past 6 months: 5.0 %
Kessler et al. (1995)
United States
National Comorbidity Survey, Phase II. Representative sample of the noninstitutionalized civilian population (15–54) in the 48 contiguous states
5,877
Any PTE (10), 51.2 % (females), 60.7 % (males); childhood (1*), 4.8 % (females), 3.2 % (males); sexual (1*), 12.3 % (females), 2.8 % (males); war (1), 0.0 % (females), 6.4 % (males); disaster (1), 15.2 % (females), 18.9 % (females)
Revised DIS, CIDI; DSM-III-R; worst
Lifetime: 7.8 %
Finkelhor and Dziuba-Leatherman (1994)
United States
Nationally representative sample of adolescents (10–16) and their caretakers
2,000
Any PTE (6), 35.1 %; childhood (1*), 22.2 %; sexual (1*), 7.5 %
–
–
Resnick et al. (1993)
United States
National Women’s Study. Nationally representative sample; oversample of women aged 18–34
4,008
Any PTE (11), 68.9 %; sexual (1*), 14.3 %; bereavement (1), 13.4 %
Modified DIS from the National Vietnam Veterans Readjustment Study; DSM-III-R; unspecified
Lifetime, 12.3 %; current, 4.6 %
CDC (1988)**
United States
Vietnam Experience Study. Random sample of Vietnam veterans
2,490
–
DIS; DSM-III; combat related
Lifetime, 14.7 %; past month, 2.2 %
Kulka et al. (1988)**
United States
National Vietnam Veterans Readjustment Study. Representative sample of Vietnam veterans
1,632
–
SCID, Mississippi Scale for Combat-Related PTSD, Minnesota Multiphasic Personality Inventory; DSM-III; various
Lifetime, 30.9 % (males), 26.9 % (females); current, 15.2 % (males), 8.5 % (females)
Darves-Bornoz et al. (2008)
Western Europe (Spain, Italy, Germany, the Netherlands, Belgium, France)
ESEMeD. Representative samples (18+)
8,797
Any PTE (28), 63.6 %; childhood (1), 3.6 %; sexual (1*), 3.4 %; war related (1*), 3.4 %; disaster, 5.9 %; bereavement, 24.6 %
–
–
Although trauma exposure is common across the globe, there is marked variation among different countries in the incidence of specific events. At least four factors may influence cross-national differences. First, this divergence could reflect real differences in rates. For example, rape may be more common in high conflict zones and therefore result in higher prevalences (cf., higher rates among Liberian former combatants vs. noncombatants; Johnson et al. 2008). Second, there is cultural variation in the acceptability of reporting traumatic events, particularly sexual assault. Respondents’ embarrassment or fear of retaliation, which could be culturally mediated, likely influences reporting (e.g., Chan et al. 2013). Third, respondents might be less likely to report events that are considered normative. In this vein, regions in which one might expect more trauma exposure do not necessarily show a higher prevalence of traumatic events (e.g., marked variation in the prevalence of PTEs in postconflict settings; de Jong et al. 2001). Fourth, measurement issues, including inadequately worded questions, might also influence the accuracy of reports.
An additional consideration in making cross-study comparisons concerns variation in which traumatic events were assessed. Trauma inventories differ in both the number and types of events listed and each only provides information about the events that were included. More extensive inventories have been found to yield a higher prevalence of trauma exposure solely due to inclusion of additional events (Mills et al. 2011). Variation in which events are included is due in part to changing definitions of trauma in the Diagnostic and Statistic Manual of Mental Disorders (DSM). In the DSM-III and DSM-III-R, traumatic events were described as those that “occur outside the range of usual human experience.” In contrast, the DSM-IV and DSM-IV-R classified traumatic events as involving “actual or threatened death or serious injury, or threat to the physical integrity of self or others” (criterion A1), as well as an emotional response of “fear, helplessness, or horror” (criterion A2). This change increased prevalence of trauma exposure, although did not substantially alter the prevalence of posttraumatic stress disorder (PTSD) (Breslau and Kessler 2001). The recently released DSM-5 does not require an emotional response for an event to be considered traumatic, which is likely to further increase the prevalence of traumatic events.
2.2 Predictors and Correlates of Trauma Exposure
Within countries, trauma exposure varies by individual and group level characteristics. Three categories of predictors of traumatic events have been documented in epidemiological studies: demographic characteristics, within-individual factors, and social contextual factors.
2.2.1 Demographic Characteristics
Demographic variation in trauma exposure depends in part on the nature of the traumatic event. Some traumatic events are, by definition, confined to specific phases of the life span. For example, various traumatic events specify that the victim is a minor, such as child physical, sexual, and emotional abuse, and therefore occur only in childhood and adolescence. On the other end of the spectrum, elder abuse – including physical abuse, neglect, and exploitation by caregivers – is by definition specific to persons 65 years and older (e.g., Lowenstein et al. 2009). For traumatic events that can occur at any point during the life span, exposure generally decreases with age (e.g., Norris 1992), although there is variation among different classes of events. In the 1996 Detroit Area Survey of Trauma, for example, which surveyed adults up to 45 years old, exposure to assaultive violence, injuries, and trauma to a close friend or family member peaked between the ages of 16 and 20, and assaultive violence in particular declined sharply thereafter (Breslau et al. 1998). In contrast, the same study found the unexpected death of a loved one to be most frequent between the ages of 40 and 45.
Men are at increased risk of trauma exposure, both single and cumulative events, compared to women (e.g., Hatch and Dohrenwend 2007). However, gender differences depend on the specific characteristics of traumatic events. An epidemiological study in Mexico, for example, found gender differences by type of trauma (women reported more sexual assault; men reported more physical assault), timing of trauma (women reported more trauma in childhood; men reported more trauma in adolescence and adulthood), and relationship context (women reported more intimate partner and family violence; men reported more violence perpetrated by friends, acquaintances, and strangers) (Baker et al. 2005).
Only recently have researchers begun to study risk of traumatic events among sexual minorities. One epidemiological study found that lesbians, gay men, bisexuals, and heterosexuals with a history of same sex activity had a greater risk of childhood maltreatment, interpersonal violence, trauma to a loved one, or unexpected death of someone close than heterosexuals with no same sex attractions or partners (Roberts et al. 2010).
Lastly, findings on variation in trauma exposure by race and ethnicity have been mixed (Hatch and Dohrenwend 2007). Again, differences likely depend in part on the type of event. For example, studies have found that African Americans are at increased risk for physical assault and unexpected death of a friend or family member relative to Whites (e.g., Rheingold et al. 2004), whereas others have found them to be at lower risk of lifetime exposure and sexual assault (e.g., Norris 1992).
2.2.2 Within-Individual Factors
Prospective studies of children into early adulthood have identified several early risk factors – including aggressive, disruptive, and antisocial behaviors, hyperactivity, difficult temperament, and lower intelligence – for later trauma, particularly assaultive events (e.g., Breslau et al. 2006; Koenen et al. 2007; Storr et al. 2007). Other studies have shown that adolescents with a history of child physical and sexual abuse are at increased risk of exposure (e.g., Amstadter et al. 2011; Elwood et al. 2011). In contrast, a longitudinal birth cohort study in New Zealand found the presence of any juvenile psychiatric disorder (including anxiety, depressive, conduct, and attentional disorders), but not childhood maltreatment, to be a significant predictor of trauma exposure in early adulthood (Breslau et al. 2013).
Additional prospective studies have examined the role of adults’ psychological symptoms in predicting subsequent trauma exposure and suggest that classes of symptoms might be differentially related to different forms of exposure. For example, in the National Study of Women, PTSD symptoms were predictive of rape, whereas depression and drug use were predictive of physical assault (Acierno et al. 1999). In contrast, in a cohort of German adolescents and young adults, anxiety disorders and drug use were significantly associated with both assaultive and sexual trauma, whereas depression and alcohol and nicotine use were not (Stein et al. 2002).
2.2.3 Social Contextual Factors
Several studies have found income and education to be negatively associated with exposure, although others have shown either positive or no associations (Hatch and Dohrenwend 2007). Variation in findings is likely a function of both context and the type of trauma assessed. For example, a Mexican epidemiological study found that lower education and income increased risk for some events (e.g., sexual and physical assault, combat) and decreased risk for others (e.g., accidents, threats with weapons) (Norris et al. 2003).
In the same study, there was significant variation in the frequency of traumatic events among the four Mexican cities from which participants were recruited, indicating that geographic location or community characteristics influence exposure. Along these lines, studies in the USA have suggested that rates of assaultive violence are higher in urban, versus suburban, areas (e.g., Breslau et al. 1996).
Within communities, the family environment is an important factor in determining risk. Adolescents whose parents have lower education or who live with only one biological parent have higher rates of exposure than their counterparts (e.g., Landolt et al. 2013; McLaughlin et al. 2013). Parents’ psychological symptoms, including posttraumatic stress and drug abuse, also increase risk (e.g., Amstadter et al. 2011; Roberts et al. 2012).
2.3 Consequences of Trauma Exposure
The consequences of trauma exposure on psychological health can be profound and include PTSD, acute stress disorder (ASD), bereavement-related disorder (BRD), and other conditions.