Skip to main content
PMC home page
Epidemiologic Reviews logoLink to Epidemiologic Reviews
. 2018 Mar 27;40(1):134–145. doi: 10.1093/epirev/mxx015

Prevalence of Posttraumatic Stress Disorder in Prisoners

Gergõ Baranyi 1, Megan Cassidy 2, Seena Fazel 3, Stefan Priebe 2, Adrian P Mundt 4,5,✉
PMCID: PMC5982805  PMID: 29596582

Abstract

People involved with criminal justice frequently are exposed to violence and traumatic experiences. This may lead to posttraumatic stress disorder (PTSD); however, no review, to our knowledge, has synthetized findings in this setting. We conducted a systematic review and meta-analysis to estimate prevalence rates of PTSD in prison populations. Original studies in which prevalence rates of PTSD in unselected samples of incarcerated people were reported were systematically searched between 1980 and June 2017. Data were pooled using random-effects meta-analysis, and sources of heterogeneity for prespecified characteristics were assessed by meta-regression. We identified 56 samples comprising 21,099 imprisoned men and women from 20 countries. Point prevalence of PTSD ranged from 0.1% to 27% for male, and from 12% to 38% for female prisoner populations. The random-effects pooled point prevalence was 6.2% (95% confidence interval: 3.9, 9.0) in male prisoners and 21.1% (95% confidence interval: 16.9, 25.6) in female prisoners. The heterogeneity between the included studies was very high. Higher prevalence was reported in samples of female prisoners, smaller studies (n < 100), and for investigations based in high-income countries. Existing evidence shows high levels of PTSD among imprisoned people, especially women. Psychosocial interventions to prevent violence, especially against children and women, and to mitigate its consequences in marginalized communities must be improved. Trauma-informed approaches for correctional programs and scalable PTSD treatments in prisons require further consideration.

Keywords: mental health, meta-analysis, posttraumatic, prisoners, review, stress disorders

INTRODUCTION

The size of the prison population has grown worldwide over the last 2 decades. In 2015, there were more than 10.3 million people imprisoned (1). Women constitute 6.8% of the total prison population, and their proportion is rising in most countries (1). Prevalence rates of severe mental disorders are higher in imprisoned people than in the general population: Approximately 4% of those in jails and prisons are estimated to have psychotic illnesses, and greater than 10% of male and 14% of female prisoners are reported to have major depression (2). Prevalence rates of substance use disorders (3) and personality disorders (4) also have been found to be much higher in the prison population than in the general population. However, the prevalence of posttraumatic stress disorder (PTSD) in prison populations is not reliably known, despite several individual reports in which authors have stated PTSD is a major health problem in prisoners because of high rates of exposure to physical, sexual, and emotional violence in imprisoned people over their lifespan (5–7). Untreated PTSD reduces day-to-day functioning and adherence to treatment (8), and increases the risks of self-harm and suicide (9). In one study, 90% of the imprisoned people with PTSD were reported to have unmet needs for psychiatric care, including pharmacotherapy and psychological treatment, which is the highest rate among all mental disorders (10). PTSD treatments during imprisonment may have the potential to reduce barriers to complete correctional interventions, improve adherence to medical treatments, and improve the longer-term institutional and community rehabilitation.

To our knowledge, 1 systematic review (11) has been published on the prevalence of PTSD in sentenced prison populations; it included only 4 studies published until 2004, and the study authors suggested the prevalence of PTSD in sentenced prisoners is likely to be higher than in the general population and that women were disproportionately affected. The low number of studies precluded synthesizing the data. Since 2004, several prevalence studies of mental health problems in people involved with the criminal justice system have been published from a range of countries (2). The aim of the present work was to review systematically the literature on PTSD in prison populations worldwide, estimate the prevalence, and assess the heterogeneity between studies.

METHODS

This systematic review was conducted following the Meta-analysis of Observational Studies in Epidemiology guidelines (12) and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (13). The research protocol was registered on the Prospero database (CRD42015020899).

Search strategies

We conducted a systematic search of the literature covering the time from 1980, when PTSD as a diagnostic category was introduced in the Diagnostic and Statistical Manual of Mental Disorders, Third Edition (14), until June 2017. The search included the following: 1) online databases (i.e., Embase, Global Health, MEDLINE, and PsycINFO via OvidSP; PILOTS via ProQuest; National Justice Reference System; Scopus; Web of Science); 2) key journals (i.e., Criminal Behavior and Mental Health, International Journal of Law and Psychiatry, Journal of Traumatic Stress); 3) reference lists of identified papers and relevant systematic reviews (2, 11); and 4) unpublished literature (OpenGrey) and correspondence with authors (Figure 1).

Figure 1.

Figure 1.

Open in a new tab

Flow diagram showing the different stages of finding relevant studies on the prevalence of posttraumatic stress disorder in prison populations between 1980 and 2017.

For the online database searches, we used the following combined strategy of free-text strings and subject headings, indicated as [SH] in medical subject headings searches, related to 1) PTSD (Anxiety disorders [SH] OR Mental* OR Posttraumatic stress OR Post-traumatic stress OR Psych* OR PTSD OR Stress Disorders, Post-Traumatic [SH] OR Stress Disorders, Traumatic, Acute [SH] OR Stress disorder OR Stress reaction*); 2) prison settings (Correctional OR Custod* OR Detain* OR Detention OR Forensic Psychiatry [SH] OR Gaol* OR Imprison* OR Incarcerat* OR Inmate* OR Jail* OR Offend* OR Penal OR Prison* OR Prisons [SH] OR Prisoners [SH] OR Probat* OR Remand OR Sentenced); and 3) prevalence studies (Epidemiolog* OR Epidemiology [SH] OR Population* OR Prevalence [SH] OR Prevalence). Language restrictions were not applied. Non-English articles were translated.

Inclusion and exclusion criteria

We identified studies in which prevalence rates of PTSD in the general prison population were reported. The following inclusion criteria were applied: 1) data were collected from unselected general prison populations; 2) PTSD diagnoses were established with validated instruments as part of a clinical or research interview; and 3) PTSD diagnoses met the criteria of international classifications (i.e., of the Diagnostic and Statistical Manual of Mental Disorders or International Classification of Diseases). Studies meeting the following criteria were excluded: 1) selection of 1 particular age group, such as adolescents, or a particular offender type (15); 2) reporting diagnoses based on self-report questionnaires and/or medical records (16); 3) 2-stage sampling (i.e., screening and diagnostic interview), because this approach might lead to different prevalence estimates owing to the characteristics of the screening instruments (17); 4) not reporting the criterion of a traumatic event, key symptoms (i.e., re-experiencing, avoidance, hyperarousal) or a minimum symptom persistence (18); 5) no separate reports for female and male participants (19), unless the proportion of 1 sex represented less than 10% of the entire sample, in which case the study was considered representative for 1 sex (≥90%) (20, 21); and 6) when more than 1 publication reported data from the same sample, only the most comprehensive publication was retained.

One author (G.B.) screened abstracts and full texts. Another (M.C.) independently screened 20% of the studies. Disagreements between these 2 reviewers were resolved by consensus with a third reviewer (A.P.M.).

Data extraction

Two reviewers (G.B., M.C.) independently extracted information from the included studies. The following data were extracted: sex, mean age, legal status (i.e., remand, sentenced, or mixed), year of publication, year and country of data collection, sampling method, diagnostic instruments, diagnostic classification (according to Diagnostic and Statistical Manual of Mental Disorders or International Classification of Diseases), sample size, refusal rate, and number of imprisoned individuals diagnosed with PTSD. The following period(s) covered by the reported prevalence estimates were extracted: point (from point up to 6 months), 1-year, and lifetime prevalence rates. When relevant data were missing or further clarification was needed, the authors were contacted.

When the refusal rate was not available, the nonresponse rate was used. It was prespecified that samples with refusal rates of less than 15% were considered as low and samples with refusal rates of 15% or greater were consider as high in refusal rates (2). Because prevalence estimates may relate to the sample size, we subdivided the included samples into small (n ≤ 200) and large samples (n > 200). Samples with fewer than 100 participants were aggregated for meta-analyses by summarizing the numerators and denominators (2). When the year of data collection was not reported, we imputed a year on the basis of the mean difference between the year of publication and data collection (3 years). We included remand prisoners (i.e., jail inmates, pretrial, and/or awaiting sentencing) and sentenced prisoners. We classified the sample as remand or sentenced when greater than 90% of the study sample belonged to the corresponding category; otherwise, the sample was classified as mixed.

There is preliminary evidence for geographical differences in the prevalence estimates of mental disorders in prison populations (2). To account for possible differences, we classified the country of data collection in the included studies as a high-income country (HIC) or low- or middle-income country (LMIC), using the World Bank classification based on the gross national income per capita at the time of data collection. Because most of the studies were conducted in the United States, which has the largest prison population in the world (1), we also classified the country of data collection as United States versus any other country (non-US).

Quality assessment

The included studies were subject to quality appraisal by 2 reviewers (G.B., M.C.) who used a modified checklist, based on the Newcastle-Ottawa Scale (22), from a meta-analysis on the prevalence of depression (23). It assesses representativeness, sample size, participation rate, interviewer and quality of descriptive statistics (Web Appendix 1, available at https://academic.oup.com/aje). The total ratings range was from 0 to 6 points. Samples were considered of low quality if they scored from 0 to 2 points; medium quality, from 3 to 4 points; and high quality, from 5 to 6 points (ratings of all included samples are available in Web Table 1).

Statistical analysis

When prevalence estimates were separately reported for male and female, remand, sentenced and mixed, and cross-sectional and admission samples, they were acknowledged in the statistical analyses as different samples. As a consequence, the number of samples may be higher than the number of studies. Because prevalence estimates may differ according to the time covered in the interview, separate meta-analyses were conducted for point, 1-year, and lifetime prevalence rates of PTSD. To acknowledge the high heterogeneity between the samples, we used random-effects models to balance the weighting of studies for data syntheses (24). We used Wilson’s method (25) to calculate 95% confidence intervals for prevalence estimates. The approach produces asymmetric confidence intervals in studies with low prevalence rates. Freeman-Tukey double arcsine transformation was used to stabilize the variance before pooling (25). This procedure makes the normal distribution assumption more applicable to significance testing when the number is small and/or the proportion is close to the margins 0 and 1. Heterogeneity among studies was estimated based on Cochran Q and reported using I2 (and 95% confidence interval of the I2). I2 > 75% is considered indicative of high heterogeneity (26). We conducted sensitivity analyses including only high-quality studies and tested whether this reduced the overall heterogeneity.

Random-effects meta-regressions were conducted to assess the effects of sample characteristics on the prevalence rates of PTSD. When significant associations (P < 0.05) with PTSD prevalence rates were indicated in univariate analyses results, we retained variables for multivariate models. We calculated adjusted R2 as the proportion of variance between the samples that was explained by the variables. For significant study characteristics, prevalence rates were estimated in subgroup analyses. Meta-analyses were conducted with aggregated smaller samples (n < 100); meta-regressions were based on individual samples.

To explore publication bias, we first inspected funnel plots of the prevalence estimates against standard errors, and then conducted Egger regression tests to assess the symmetry of the funnel plots; these were performed separately for male and female samples. Differences of the study quality and small study bias were explored as possible reasons for asymmetric funnel plots (27). Statistical analyses were conducted with Stata, version 13 (StataCorp LP, College Station, Texas).

RESULTS

Thirty-six studies comprising 56 samples with a total of 21,099 imprisoned people met the inclusion criteria (main characteristics of the included studies are listed in Table 1; additional information is available in Web Table 2). Male prisoners constituted 76.4% (n = 16,111 participants) of the pooled samples; 23.6% (n = 4,988 participants) were female prisoners. The weighted mean age was 30.6 years. Studies were conducted in 20 countries, of which 14 were classified as HICs in the year of the data collection: Australia (28, 29), Austria (30), Canada (31–34), Chile (35), France (36), Germany (37–40), Iceland (41), Ireland (42), Netherlands (43), New Zealand (44), Spain (45, 46), Switzerland (47), United Kingdom (48, 49), and United States (50–56); and 7 were LMICs: Brazil (57), Chile (58), China (59), India (21), Iran (60), South Africa (20), and Turkey (61). The World Bank classification of Chile changed from LMIC to HIC over time.

Table 1.

Description of Included Samples Reporting the Prevalence of Posttraumatic Stress Disorder in Prison Populations, 1980–2017

First Author, Year (Reference No.) Country Income Group Sex Sample Size Type of Study Sampling Method Diagnostic Instrument Diagnostic Criteria Legal Status
Andreoli, 2014 (57)a Brazil LMIC Male 676 C Stratified random CIDI ICD-10 Sentenced
Andreoli, 2014 (57)a Brazil LMIC Female 617 C Stratified random CIDI ICD-10 Sentenced
Andreoli, 2014 (57)a Brazil LMIC Male 516 C Stratified random CIDI ICD-10 Remand
Assadi, 2006 (60) Iran LMIC Male 351 C Stratified random SCID DSM-IV Sentenced
Beaudette, 2016 (31)b Canada HIC Male 1,110 A Population SCID DSM-IV Sentenced
Bebbington, 2017 (48)a UK HIC Male 197 C Random PDS DSM-IV Mixed
Bebbington, 2017 (48)a UK HIC Female 171 C Random PDS DSM-IV Mixed
Boşgelmez, 2010 (61)b Turkey LMIC Male 30 C Stratified random SCID DSM-IV Mixed
Boşgelmez, 2010 (61)b Turkey LMIC Female 30 C Stratified random SCID DSM-IV Mixed
Brink, 2001 (32) Canada HIC Male 202 A Random SCID DSM-IV Sentenced
Brooke, 1996 (49) UK HIC Male 750 C Stratified random Clinical interview ICD-10 Remand
Bulten, 2009 (43) The Netherlands HIC Male 191 A Random MINI DSM-III-R Mixed
Butler, 2003 (28) Australia HIC Male 756 A Convenience CIDI ICD-10 Mixed
Butler, 2003 (28) Australia HIC Male 458 C Stratified random CIDI ICD-10 Sentenced
Butler, 2003 (28) Australia HIC Female 165 A Convenience CIDI ICD-10 Mixed
Butler, 2003 (28) Australia HIC Female 108 C Stratified random CIDI ICD-10 Sentenced
Derkzen, 2016 (34)a Canada HIC Female 154 C Population SCID DSM-IV Sentenced
Duburcq, 2004 (36)b France HIC Male 799 C Stratified random MINI DSM-IV Mixed
Duburcq, 2004 (36)b France, MQ HIC Male 100 C Stratified random MINI DSM-IV Mixed
Duburcq, 2004 (36)b France HIC Female 99 C Stratified random MINI DSM-IV Mixed
Dudeck, 2009 (37)b Germany HIC Male 102 C Population SCID DSM-IV Sentenced
Einarsson, 2009 (41)a Iceland HIC Male 90 A Population MINI DSM-IV Sentenced
Gunter, 2008 (50) US HIC Male 264 A Random MINI DSM-IV Sentenced
Gunter, 2008 (50) US HIC Female 56 A Random MINI DSM-IV Sentenced
Guthrie, 1998 (51) US HIC Male 100 C Random CAPS DSM-IV Sentenced
Hodgins, 1990 (33) Canada HIC Male 495 C Random DIS DSM-III Sentenced
Huang, 2006 (59) China LMIC Female 471 C Random CAPS DSM-IV Sentenced
Lynch, 2014 (52)a US HIC Female 233 C Random CIDI DSM-IV Sentenced
Lynch, 2014 (52)a US HIC Female 249 C Random CIDI DSM-IV Remand
Math, 2011 (21) India LMIC Male 1,197 A and C Population MINI DSM-IV and ICD-10 Sentenced
Math, 2011 (21) India LMIC Male 3,827 A and C Population MINI DSM-IV and ICD-10 Remand
Mir, 2015 (40) Germany HIC Female 150 A Population MINI DSM-IV Mixed
Missoni, 2003 (38)a Germany HIC Male 107 A Population DIA-X ICD-10 Remand
Mohan, 1997 (42) Ireland HIC Female 45 A Random SCAN DSM-IV Mixed
Mundt, 2013 (58)a Chile LMIC Male 855 C Stratified random CIDI DSM-IV Mixed
Mundt, 2013 (58)a Chile LMIC Female 153 C Stratified random CIDI DSM-IV Mixed
Mundt, 2016 (35) Chile HIC Male 229 A Systematic MINI DSM-IV Mixed
Mundt, 2016 (35) Chile HIC Female 198 A Population MINI DSM-IV Mixed
Naidoo, 2012 (20) South Africa LMIC Male 120 C Stratified random MINI and ICD-10 DSM-IV and ICD-10 Sentenced
Naidoo, 2012 (20) South Africa LMIC Male 73 C Stratified random MINI DSM-IV and ICD-10 Remand
Powell, 1997 (53) US HIC Male 118 C Stratified random DIS DSM-III-R Sentenced
Powell, 1997 (53) US HIC Male 95 C Stratified random DIS DSM-III-R Remand
Simpson, 1999 (44) New Zealand HIC Male 645 C Stratified random CIDI DSM-IV Sentenced
Simpson, 1999 (44) New Zealand HIC Male 441 C Population CIDI DSM-IV Remand
Simpson, 1999 (44) New Zealand HIC Female 162 C Population CIDI DSM-IV Sentenced
Stompe, 2010 (30) Austria HIC Male 100 A Population SCAN ICD-10 Sentenced
Stompe, 2010 (30) Austria HIC Male 100 A Population SCAN ICD-10 Remand
Teplin, 1996 (54) US HIC Female 1,272 A Stratified random DIS DSM-III-R Remand
Trestman, 2007 (55) US HIC Male 306 A Systematic CAPS DSM-IV Remand
Trestman, 2007 (55) US HIC Female 199 A Systematic CAPS DSM-IV Remand
Tye, 2006 (29) Australia HIC Female 103 C Population CIDI ICD-10 Mixed
Urbaniok, 2007 (47) Switzerland HIC Male 25 C Population PDS DSM-IV Remand
Vicens, 2011 (46) Spain HIC Male 707 C Stratified random SCID DSM-IV Sentenced
von Schönfeld, 2006 (39) Germany HIC Female 63 C Population SCID DSM-IV Sentenced
Zabala-Baños, 2016 (45)a Spain HIC Male 184 C Stratified random SCID DSM-IV Sentenced
Zlotnick, 1997 (56) US HIC Female 85 C Random SCID DSM-IV Sentenced
Open in a new tab

Abbreviations: A, admission; C, cross-sectional; CAPS, Clinician-Administered Posttraumatic Stress Disorder Scale for Diagnostic and Statistical Manual of Mental Disorders; CIDI, Composite International Diagnostic Interview; DIA-X, Diagnostic Expert System for Mental Disorders; DIS, Diagnostic Interview Schedule; DSM, Diagnostic and Statistical Manual of Mental Disorders; DSM-III-R, Diagnostic and Statistical Manual of Mental Disorders, Third Edition, Revised; DSM-IV, Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition; HIC, high-income country; ICD-10, International Statistical Classification of Diseases, Tenth Revision; LMIC, low- or middle-income country; MINI, Mini-International Neuropsychiatric Interview; MQ, Martinique; PDS, Posttraumatic Stress Diagnostic Scale; SCAN, Schedules for Clinical Assessment in Neuropsychiatry; SCID, Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders; UK, United Kingdom; US, United States.

a Authors provided additional data.

b Authors provided additional information about their studies.

Point prevalence of PTSD

Point prevalence of PTSD were reported in 50 samples from 20 countries including 19,011 participants (20, 21, 28, 30–32, 34–51, 53–57, 59–61). Aggregating small samples (n < 100), the point prevalence estimates of PTSD ranged from 0.1% to 27% for male prisoners, and from 12% to 38% for female prisoners. The pooled point prevalence was 6.2% (95% confidence interval (CI): 3.9, 9.0) in male prisoners and 21.1% (95% CI: 16.9, 25.6) in female prisoners (Figure 2). Heterogeneity was high for male (I2 = 97%, 95% CI: 97, 98) and female (I2 = 90%, 95% CI: 85, 94) samples. Excluding low- and medium-quality studies in sensitivity analysis, the heterogeneity was lower in male samples (92%, 95% CI: 90, 94), which reduced the pooled point prevalence to 5.9% (95% CI: 4.0, 8.2). The heterogeneity in the female samples did not materially change (Web Table 3).

Figure 2.

Figure 2.

Open in a new tab

Prevalence meta-analysis of point prevalence of posttraumatic stress disorder in male and female prisoners from studies published between 1980 and 2017. Samples are sorted by sex and high- versus low- or middle-income countries, as well as by ascending prevalence rates within the subgroups. Sample weights from random-effects meta-analyses may not sum to 100, because of rounding errors. Smaller samples (n < 100) were aggregated for male (20, 41, 47, 53, 61) and female subgroups (36, 39, 42, 50, 56, 61). CI, confidence interval; MQ, Martinique; UK, United Kingdom; US, United States.

Univariate meta-regression analyses showed significant sex differences in the point prevalence of PTSD: Female prisoners had higher prevalence rates than did male prisoners (β = 0.138, standard error of β (SE(β)) = 0.024, P < 0.001). We also found significantly higher rates in samples from HICs as compared with LMICs (β = −0.072, SE(β) = 0.030, P = 0.02), and specifically in samples from the United States (β = −0.093, SE(β) = 0.036, P = 0.01). There was a significant association of the sample size with the point prevalence of PTSD: Large studies (n > 200) had lower rates than small studies (β = −0.077, SE(β) = 0.027, P = 0.006). All other variables (e.g., legal status, diagnostic classification) were not significantly associated with the point prevalence of PTSD (Table 2).

Table 2.

Meta-Regression Analyses Assessing Prespecified Sample Characteristics as Possible Sources of Heterogeneity for the Prevalence of Posttraumatic Stress Disorder in Prisoner Populations

Variablea Point Prevalence of PTSD 1-Year Prevalence of PTSD Lifetime Prevalence of PTSD
β SE (β) P Valueb β SE P Valueb β SE P Valueb
Univariate Meta-Regression Analyses
 Age of prisoners (continuous) −0.003 0.004 0.49 −0.005 0.018 0.79 −0.004 0.012 0.76
 Year of data collection (continuous) −0.002 0.002 0.40 −0.010 0.010 0.34 0.001 0.005 0.77
 Sex: male vs. female 0.138 0.024 <0.001 0.156 0.067 0.04 0.227 0.051 <0.001
 Country group 1: HIC vs. LMIC −0.072 0.030 0.02 −0.200 0.049 0.002 −0.009 0.091 0.92
 Country group 2: US vs. non-US −0.093 0.036 0.01 –c −0.198 0.064 0.006
 Sampling: cross-sectional vs. admission 0.002 0.029 0.94 –c −0.072 0.084 0.40
 Penal status: sentenced vs. remand −0.013 0.034 0.71 –c 0.067 0.079 0.40
 Diagnostic classification: DSM vs. ICD −0.014 0.032 0.66 0.071 0.087 0.44 0.059 0.101 0.56
 Refusal rate: low (≤15%) vs. high (>15%) 0.020 0.027 0.47 0.191 0.052 0.001 0.074 0.074 0.33
 Sample size: small (n ≤ 200) vs. large (n > 200) −0.077 0.027 0.006 –c −0.102 0.075 0.19
Multivariate Meta-Regression Analyses Retaining Significant Variables
 Sex: male vs. female 0.119 0.023 <0.001 0.181 0.052 0.003
 Country group 1: HIC vs. LMIC −0.057 0.021 0.008
 Country group 2: US vs. non-US −0.037 0.028 0.18 −0.115 0.057 0.06d
 Sample size: small (n ≤ 200) vs. large (n > 200) −0.019 0.023 0.40
Open in a new tab

Abbreviations: DSM, Diagnostic and Statistical Manual of Mental Disorders; HIC, high-income country; ICD, International Statistical Classification of Diseases; LMIC, low- or middle-income country; PTSD, posttraumatic stress disorder; SE, standard error; US, United States.

a The reference category is given first.

b Statistical significance set at P < 0.05.

c Insufficient number of samples in at least 1 of the comparison groups.

dP for trend is statistically significant at < 0.1.

Significant predictors of the point prevalence of PTSD in univariate analyses were retained in a multivariate model. Sex (β = 0.119, SE(β) = 0.023, P < 0.001) and income group of the country (β = −0.057, SE(β) = 0.021, P = 0.008) remained significantly associated with the point prevalence of PTSD: Higher rates were reported for female prisoners and for samples from HICs (Table 2). The results of the model accounted for 89% of the between-sample variance. Following the results of the multivariate meta-regression, we estimated the sex-specific point prevalence of PTSD for the samples from HICs. The pooled point prevalence of PTSD was 7.5% (95% CI: 5.2, 10.2) in male samples and 23.3% (94% CI: 19.3, 27.7) in female samples from HICs. The heterogeneity was high in male (I2 = 94%, 95% CI: 92, 96) and female samples (I2 = 83%, 95% CI: 71, 90) from HICs. According to the results of the Egger test for asymmetry of funnel plots, a significant bias may exist in the male samples reporting point prevalence estimates of PTSD (P = 0.009), whereas there was no strong evidence for bias in the female samples (P = 0.49) (Web Figure 1).

One-year prevalence of PTSD

The 1-year prevalence of PTSD was reported in 12 samples from 4 countries including 4,889 participants (28, 29, 52, 57, 58). The 1-year prevalence estimates ranged from 1% to 22% for male prisoners and from 3% to 44% for female prisoners. Pooled 1-year prevalence estimates of PTSD were 9.9% (95% CI: 3.0, 20.2) for male prisoners and 26.1% (95% CI: 15.9, 37.8) for female prisoners. Heterogeneity was very high among male (I2 = 99%, 95% CI: 98, 99) and female samples (I2 = 96%, 95% CI: 93, 97). The heterogeneity did not significantly change when excluding low- and medium-quality samples from sensitivity analyses (Web Table 3).

By univariate meta-regression analyses assessing the heterogeneity, we found a significantly higher prevalence among female prisoners (P = 0.04) and among HICs as compared with LMICs (P = 0.002). High refusal rates also were associated with a higher 1-year prevalence (P = 0.001) (Table 2). Multivariate analyses were not conducted owing to the small number of samples. According to the results of the Egger test, funnel plots were not asymmetric in male (P = 0.56) and female samples (P = 0.22) reporting 1-year prevalence rates of PTSD (Web Figure 2).

Lifetime prevalence of PTSD

The lifetime prevalence of PTSD in prison populations was reported for 23 samples from 7 countries including 9,202 individuals (31–34, 37, 39, 44–46, 51–57, 59). Aggregating smaller samples (n < 100), lifetime prevalence estimates ranged from 4% to 32% in male and from 16% to 58% in female prisoners. Pooled lifetime prevalence estimates of PTSD were 17.8% (95% CI: 12.4, 23.9) in male prisoners and 40.4% (95% CI: 31.8, 49.3) in female prisoners (Figure 3). Heterogeneity was very high between male (I2 = 97%, 95% CI: 96, 98) and female samples (I2 = 96%, 95% CI: 94, 97). Excluding low- and medium quality samples in sensitivity analyses did not significantly change the heterogeneity in male and female samples (Web Table 3).

Figure 3.

Figure 3.

Open in a new tab

Prevalence meta-analysis of lifetime prevalence rates of posttraumatic stress disorder in male and female prisoners from studies published between 1980 and 2017. Samples are sorted by sex and non-US versus United States, as well as by ascending prevalence rates within the subgroups. Sample weights from random-effects meta-analysis may not sum to 100, because of rounding errors. Smaller female samples (n < 100) were aggregated (39, 56). CI, confidence interval; UK, United Kingdom; US, United States.

There were significant sex differences between male and female prisoners for the lifetime prevalence estimates in univariate meta-regression analyses (β = 0.227, SE(β) = 0.051, P < 0.001). In studies from the United States, significantly higher lifetime PTSD prevalence estimates were reported as compared with studies from other countries (β = −0.198, SE(β) = 0.064, P = 0.006) (Table 2).

According to results of multivariate meta-regression analyses including sex and country effects in a single model, lifetime prevalence of PTSD was significantly higher in female than male prisoners (β = 0.181, SE(β) = 0.052, P = 0.003). There was a trend for higher lifetime prevalence rates of PTSD in samples from the United States compared with samples from other countries (β = −0.115, SE(β) = 0.057, P = 0.06) (Table 2). Using the model, we could explain 62% of the between-sample variance. The sex-specific lifetime prevalence of PTSD was estimated for the samples from the United States: Pooled lifetime prevalence estimates of PTSD were 27.0% (95% CI: 18.7, 36.2) in male and 49.5% (95% CI: 37.3, 61.8) in female samples from the United States. The heterogeneity remained high in male (I2 = 82%, 95% CI: 46, 94) and female (I2 = 96%, 95% CI: 92, 97) samples. According to results of the Egger test, funnel plots were not asymmetric in male (P = 0.78) and female (P = 0.16) samples in which the lifetime prevalence of PTSD was reported (Web Figure 3).

DISCUSSION

This systematic review of the prevalence of PTSD in prison populations is based on 56 samples from 20 countries worldwide. Point, 1-year, and lifetime prevalence rates indicate high levels of PTSD in this population. Imprisoned women have prevalence rates of PTSD that are approximately 3-fold than those in men. Prisoners in HICs and, in particular, in the United States, had higher a PTSD prevalence than did imprisoned people in other countries. When data were pooled, the point prevalence of PTSD was 6% in male prison populations and 21% in female prison populations, the 1-year prevalence rates of PTSD were 10% in male and 26% in female, and the lifetime prevalence estimates of PTSD were 18% in male and 40% in female prison populations.

To our knowledge, this is the first review of the prevalence of PTSD in prisoners that includes a sufficient number of samples to perform data synthesis, meta-analyses, and quantitative assessment of sources for heterogeneity. The overall evidence is based on more than 21,000 assessments of individuals in prison. In this study, we provide pooled prevalence estimates for point, 1-year, and lifetime prevalence of PTSD in prison populations. Some limitations need to be highlighted. First, comorbid conditions of PTSD with other mental health and substance use disorders were typically not reported in the studies and not taken into account in this review, even though they may be important for clinical decisions and service development. Second, the high level of heterogeneity between samples could not be explained solely by the examined study characteristics and warrants cautious interpretation of the pooled prevalence estimates. Although our review did not reveal differences between individuals who were sentenced versus those on remand, or between cross-sectional samples and studies conducted at intake in the correctional system, it is possible that some subgroups, such as those returned on breaches or in solitary confinement, have higher rates of PTSD. Additional study characteristics, such as sampling techniques and the different diagnostic interviews used to assess PTSD, were not tested in our models, because of the small number of samples in each of the different groups, although they may explain part of the heterogeneity. Hence, an alternative approach would be to report prevalence ranges, which are provided.

Imprisoned people are mostly young, poor, and have substance use problems; many have histories of child abuse and are highly marginalized (7). Therefore, compared with the general population, several risk factors for PTSD are increased and high rates of PTSD may not be surprising. Nevertheless, a comparison with the general population may be helpful to contextualize the prevalence data reported here. According to studies conducted in Western countries, the point prevalence of PTSD has been estimated to be 1.2% in men and 2.7% in women (62), and the lifetime prevalence of PTSD has been estimated to be 5.0% in men and 10.4% in women in the general population (63). Compared with the general population, our results suggest an approximately 5-fold higher point prevalence of PTSD in male prisoners and an 8-fold higher point prevalence of PTSD in female prisoners. Thus, based on these findings, PTSD appears to be a common mental disorder in prison populations (7), and absolute numbers will be large. Of the 10.3 million prisoners worldwide (1), approximately 750,000 are likely to have a clinical diagnosis of PTSD. In the United States (1), this equates to more than 300,000 prisoners with PTSD, based on a current custodial population of 2.2 million. Given that most prisoners have short-term sentences, the numbers passing through prisons will be higher in any given 1-year period.

In contrast to previous reviews of mental disorders in prisoners (2, 3, 11), the present meta-analysis provides evidence for a significant sex difference in prevalence rates. PTSD in female prisoners is approximately 3 times more frequent than in male prisoners. This finding is consistent with research in the general population that indicates women are more likely to develop symptoms of PTSD after traumatic events than men and to have higher rates of PTSD (14). According to a literature review on sex differences of PTSD in community settings (64), there are several possible explanations of elevated rates in women, such as the type of trauma, age at trauma exposure, gender roles in society, and stress coping mechanisms. Female prisoners have particularly high rates of exposure to sexual violence before imprisonment and of exposure to violence during childhood (65). After experiencing a traumatic event, it is reported that women more often use maladaptive coping strategies to manage stress and trauma-related symptoms. More frequent and heavier use of substances, and passive and avoidance-focused coping styles are more common in women than in men (7, 64). In the context of increasing female prison populations in some countries, the higher prevalence of PTSD in female prisoners points toward a need to specifically consider this group in research and service development.

In addition, we have reported higher point prevalence and 1-year prevalence of PTSD in studies from HICs and higher lifetime prevalence of PTSD in studies from the United States. It is unclear whether prisoners from the United States and other HICs are more often exposed to traumatic events before or during imprisonment than prisoners from other countries or whether they are more likely to develop PTSD after traumatic experiences (66).

Imprisoned individuals with PTSD are more likely to have comorbid mental disorders, particularly substance use (7, 40, 56, 67), affective, and anxiety disorders (52, 67). The potential causal links between PTSD and these other disorders remain largely unclear. PTSD may be associated with a risk for repeat victimization, within and outside of the prison system (68). Moreover, exposure to violence and PTSD has been associated with violent behavior during imprisonment and elevated risks of reoffending afterward (69).

Several implications arise from our review. First, efforts to prevent child abuse and sex-related violence in marginalized populations should be improved (70). Stronger, early psychosocial interventions to mitigate traumatic experiences associated with violence and emotional abuse are needed in the community. Second, trauma-informed approaches should be considered for all correctional programs during incarceration and in the community. Rates of spontaneous long-term remission from PTSD are modest (71); therefore, methods of identifying prisoners with PTSD and providing effective treatments on a large scale would be desirable. Prisons are, in various respects, a challenging context for providing health care interventions and, for many imprisoned people, the duration of stay is not known at intake; sentences can be brief. Incarceration can also be a chance to reach people with mental disorders who otherwise might not access treatment. However, the evidence for psychological treatments in this setting is limited (72) and more trials are required to test to what extent established treatments for PTSD in community settings are effective in the prison context. In addition, trials that address how these treatments can be embedded in more complex interventions for the many treatment needs of prisoners are required. Alternatively, new and specific approaches should be developed, which may have to be group based to respond to the large unmet needs in prison populations.

Supplementary Material

Supplementary Data
Click here for additional data file. (369.3KB, pdf)

ACKNOWLEDGMENTS

Author affiliations: Center for Research on Environment Society and Health, School of GeoSciences, The University of Edinburgh, Edinburgh, United Kingdom (Gergõ Baranyi); Unit for Social and Community Psychiatry, WHO Collaborating Center for Mental Health Services Development, Queen Mary University of London, London, United Kingdom (Megan Cassidy, Stefan Priebe); Department of Psychiatry, University of Oxford, Oxford, United Kingdom (Seena Fazel); Medical Faculty, Universidad Diego Portales, Santiago, Chile (Adrian P. Mundt); and Medical School, Universidad San Sebastián, Puerto Montt, Chile (Adrian P. Mundt).

This work was funded by the German National Academic Foundation (to G.B.), the Wellcome Trust (grant 202836/Z/16/Z to S.F.), and the Comisión Nacional de Investigación Científica y Tecnológica (National Commission for Scientific and Technological Research), Ministry of Education, of the Republic of Chile (Fondo Nacional de Desarrollo Científico y Tecnológico (National Fund for Scientific and Technological Development) Regular, grant 1160260 to A.P.M.).

We thank Dr. Şükriye Boşgelmez, Dr. Manuela Dudeck, Dr. Bruno Falissard, Dr. Gisli H. Gudjonsson, Dr. Sharon Jakobowitz, Dr. Thanos Karatzias, Dr. Norbert Konrad, Dr. Shannon M. Lynch, Dr. Maíra Mendes dos Santos, Dr. Lynn A. Stewart, and Dr. María del Carmen Zabala-Baños for kindly providing additional data and information on their studies. We thank Dr. Victoria Bird and Lauren Greenberg for comments on the statistical analyses.

Conflict of interest: none declared.

Abbreviations

CI

confidence interval

HIC

high-income country

LMIC

low- or middle-income country

non-US

any other country other than the United States

PTSD

posttraumatic stress disorder

SE(β)

standard error of β

SH

subject heading. CI, confidence interval

HIC

high-income country

LMIC

low- or middle-income country

non-US

any other country other than the United States

PTSD

posttraumatic stress disorder

SE(β)

standard error of β

SH

subject heading

REFERENCES

  • 1. Walmsley R. World Prison Population List. 11th ed.London, UK: Institute for Criminal Policy Research; 2016. [Google Scholar]
  • 2. Fazel S, Seewald K. Severe mental illness in 33,588 prisoners worldwide: systematic review and meta-regression analysis. Br J Psychiatry. 2012;200(5):364–373. [DOI] [PubMed] [Google Scholar]
  • 3. Fazel S, Bains P, Doll H. Substance abuse and dependence in prisoners: a systematic review. Addiction. 2006;101(2):181–191. [DOI] [PubMed] [Google Scholar]
  • 4. Fazel S, Danesh J. Serious mental disorder in 23000 prisoners: a systematic review of 62 surveys. Lancet. 2002;359(9306):545–550. [DOI] [PubMed] [Google Scholar]
  • 5. Widom CS. Child abuse, neglect, and adult behavior: research design and findings on criminality, violence, and child abuse. Am J Orthopsychiatry. 1989;59(3):355–367. [DOI] [PubMed] [Google Scholar]
  • 6. Wolff N, Shi J. Childhood and adult trauma experiences of incarcerated persons and their relationship to adult behavioral health problems and treatment. Int J Environ Res Public Health. 2012;9(5):1908–1926. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Battle CL, Zlotnick C, Najavits LM, et al. . Posttraumatic stress disorder and substance use disorder among incarcerated women In: Ouimette P, Brown PJ, eds. Trauma and Substance Abuse: Causes, Consequences, and Treatment of Comorbid Disorders. Washington, DC: American Psychological Association; 2003:209–225. [Google Scholar]
  • 8. Kronish IM, Edmondson D, Li Y, et al. . Post-traumatic stress disorder and medication adherence: results from the Mind Your Heart study. J Psychiatr Res. 2012;46(12):1595–1599. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Bolton JM, Robinson J. Population-attributable fractions of Axis I and Axis II mental disorders for suicide attempts: findings from a representative sample of the adult, noninstitutionalized US population. Am J Public Health. 2010;100(12):2473–2480. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Jakobowitz S, Bebbington P, McKenzie N, et al. . Assessing needs for psychiatric treatment in prisoners: 2. Met and unmet need. Soc Psychiatry Psychiatr Epidemiol. 2017;52(2):231–240. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Goff A, Rose E, Rose S, et al. . Does PTSD occur in sentenced prison populations? A systematic literature review. Crim Behav Ment Health. 2007;17(3):152–162. [DOI] [PubMed] [Google Scholar]
  • 12. Stroup DF, Berlin JA, Morton SC, et al. . Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis of Observational Studies in Epidemiology (MOOSE) group. JAMA. 2000;283(15):2008–2012. [DOI] [PubMed] [Google Scholar]
  • 13. Moher D, Liberati A, Tetzlaff J, et al. . Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Int J Surg. 2010;8(5):336–341. [DOI] [PubMed] [Google Scholar]
  • 14. Nemeroff CB, Bremner JD, Foa EB, et al. . Posttraumatic stress disorder: a state-of-the-science review. J Psychiatr Res. 2006;40(1):1–21. [DOI] [PubMed] [Google Scholar]
  • 15. Collins JJ, Bailey SL. Traumatic stress disorder and violent behavior. J Trauma Stress. 1990;3(2):203–220. [Google Scholar]
  • 16. Wolff H, Sebo P, Haller DM, et al. . Health problems among detainees in Switzerland: a study using the ICPC-2 classification. BMC Public Health. 2011;11:245. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Corrado RR, Cohen I, Hart S, et al. . Comparative examination of the prevalence of mental disorders among jailed inmates in Canada and the United states. Int J Law Psychiatry. 2000;23(5–6):633–647. [DOI] [PubMed] [Google Scholar]
  • 18. Caraballo JN, Pérez-Pedrogo C, Albizu-García E. Assessing post-traumatic stress symptoms in a Latino prison population. Int J Prison Health. 2013;9(4):196–207. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Langeveld H, Melhus H. Are psychiatric disorders identified and treated by in-prison health services? Tidsskr Nor Laegeforen. 2004;124(16):2094–2097. [PubMed] [Google Scholar]
  • 20. Naidoo S, Mkize DL. Prevalence of mental disorders in a prison population in Durban, South Africa. Afr J Psychiatry (Johannesbg). 2012;15(1):30–35. [DOI] [PubMed] [Google Scholar]
  • 21. Math SB, Murthy P, Parthasarathy R, et al. . Mental health and substance use problems in prisons. The Bangalore Prison Mental Health Study: local lessons for national action. Bangalore, India: National Institute of Mental Health and Neuro Sciences; 2011.
  • 22. Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol. 2010;25(9):603–605. [DOI] [PubMed] [Google Scholar]
  • 23. Mata DA, Ramos MA, Bansal N, et al. . Prevalence of depression and depressive symptoms among resident physicians: a systematic review and meta-analysis. JAMA. 2015;314(22):2373–2383. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Borenstein M, Hedges LV, Higgins JP, et al. . A basic introduction to fixed-effect and random-effects models for meta-analysis. Res Synth Methods. 2010;1(2):97–111. [DOI] [PubMed] [Google Scholar]
  • 25. Nyaga VN, Arbyn M, Aerts M. Metaprop: a Stata command to perform meta-analysis of binomial data. Arch Public Health. 2014;72(1):39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Higgins JP, Thompson SG, Deeks JJ, et al. . Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Egger M, Davey Smith G, Schneider M, et al. . Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315(7109):629–634. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Butler T, Allnutt S. Mental Illness Among New South Wales’ Prisoners. Matraville, Australia: NSW Corrections Health Service; 2003. [Google Scholar]
  • 29. Tye CS, Mullen PE. Mental disorders in female prisoners. Aust N Z J Psychiatry. 2006;40(3):266–271. [DOI] [PubMed] [Google Scholar]
  • 30. Stompe T, Brandstatter N, Ebner N, et al. . Psychiatric disorders in prison inmates. J Neurol Neurochir Psychiatr. 2010;11(2):20–23. [Google Scholar]
  • 31. Beaudette JN, Stewart LA. National prevalence of mental disorders among incoming Canadian male offenders. Can J Psychiatry. 2016;61(10):624–632. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Brink JH, Doherty D, Boer A. Mental disorder in federal offenders: a Canadian prevalence study. Int J Law Psychiatry. 2001;24(4–5):339–356. [DOI] [PubMed] [Google Scholar]
  • 33. Hodgins S, Cote G. Prevalence of mental disorders among penitentiary inmates in Quebec. Can Ment Health. 1990;38(1):1–4. [Google Scholar]
  • 34. Derkzen D, Barker J, McMillan K, et al. . Rates of Current Mental Disorders Among Women Offenders in Custody in CSC. Ottawa, Canada: Correctional Service Canada; 2016. [Google Scholar]
  • 35. Mundt AP, Kastner S, Larraín S, et al. . Prevalence of mental disorders at admission to the penal justice system in emerging countries: a study from Chile. Epidemiol Psychiatr Sci. 2016;25(5):441–449. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Duburcq A, Coulomb S, Bonte J, et al. . Enquête de Prévalence sur les Troubles Psychiatriques en Milieu Carcéral (Phase 1 de l’Étude Épidémiologique) Rapport Final. Paris, France: CEMKA-EVAL; 2004. [Google Scholar]
  • 37. Dudeck M, Kopp D, Kuwert P, et al. . Prevalence of psychiatric disorders in prisoners with a short imprisonment: results from a prison in north Germany. Psychiatr Prax. 2009;36(5):219–224. [DOI] [PubMed] [Google Scholar]
  • 38. Missoni L, Utting F, Konrad N. Psychi(atri)sche Störungen bei Untersuchungsgefangenen. Ergebnisse und Probleme einer epidemiologischen Studie. ZfStrVo. 2003;52(6):323–332. [Google Scholar]
  • 39. von Schönfeld CE, Schneider F, Schröder T, et al. . Prevalence of psychiatric disorders, psychopathology, and the need for treatment in female and male prisoners. Nervenarzt. 2006;77(7):830–841. [DOI] [PubMed] [Google Scholar]
  • 40. Mir J, Kastner S, Priebe S, et al. . Treating substance abuse is not enough: comorbidities in consecutively admitted female prisoners. Addict Behav. 2015;46:25–30. [DOI] [PubMed] [Google Scholar]
  • 41. Einarsson E, Sigurdsson JF, Gudjonsson GH, et al. . Screening for attention-deficit hyperactivity disorder and co-morbid mental disorders among prison inmates. Nord J Psychiatry. 2009;63(5):361–367. [DOI] [PubMed] [Google Scholar]
  • 42. Mohan D, Scully P, Collins C, et al. . Psychiatric disorder in an Irish female prison. Crim Behav Ment Health. 1997;7(3):229–235. [Google Scholar]
  • 43. Bulten E, Nijman H, van der Staak C. Psychiatric disorders and personality characteristics of prisoners at regular prison wards. Int J Law Psychiatry. 2009;32(2):115–119. [DOI] [PubMed] [Google Scholar]
  • 44. Simpson A, Brinded P, Laidlaw T, et al. . The National Study of Psychiatric Morbidity in New Zealand Prisons: An Investigation of the Prevalence of Psychiatric Disorders Among New Zealand Inmates Wellington, New Zealand: Department of Corrections; 1999.
  • 45. Zabala-Baños MC, Segura A, Maestre-Miquel C, et al. . Mental disorder prevalence and associated risk factors in three prisons of Spain. Rev Esp Sanid Penit. 2016;18(1):13–23. [DOI] [PubMed] [Google Scholar]
  • 46. Vicens E, Tort V, Dueñas RM, et al. . The prevalence of mental disorders in Spanish prisons. Crim Behav Ment Health. 2011;21(5):321–332. [DOI] [PubMed] [Google Scholar]
  • 47. Urbaniok F, Endrass J, Noll T, et al. . Posttraumatic stress disorder in a Swiss offender population. Swiss Med Wkly. 2007;137(9–10):151–156. [DOI] [PubMed] [Google Scholar]
  • 48. Bebbington P, Jakobowitz S, McKenzie N, et al. . Assessing needs for psychiatric treatment in prisoners: 1. Prevalence of disorder. Soc Psychiatry Psychiatr Epidemiol. 2017;52(2):221–229. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Brooke D, Taylor C, Gunn J, et al. . Point prevalence of mental disorder in unconvicted male prisoners in England and Wales. BMJ. 1996;313(7071):1524–1527. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Gunter TD, Arndt S, Wenman G, et al. . Frequency of mental and addictive disorders among 320 men and women entering the Iowa prison system: use of the MINI-Plus. J Am Acad Psychiatry Law. 2008;36(1):27–34. [PubMed] [Google Scholar]
  • 51. Guthrie RK. The Prevalence of Posttraumatic Stress Disorder Among Federal Prison Inmates [dissertation]. Morgantown, WV: West Virginia University; 1998.
  • 52. Lynch SM, Dehart DD, Belknap JE, et al. . A multisite study of the prevalence of serious mental illness, PTSD, and substance use disorders of women in jail. Psychiatr Serv. 2014;65(5):670–674. [DOI] [PubMed] [Google Scholar]
  • 53. Powell TA, Holt JC, Fondacaro KM. The prevalence of mental illness among inmates in a rural state. Law Hum Behav. 1997;21(4):427–438. [DOI] [PubMed] [Google Scholar]
  • 54. Teplin LA, Abram KM, McClelland GM. Prevalence of psychiatric disorders among incarcerated women: I. Pretrial jail detainees. Arch Gen Psychiatry. 1996;53(6):505–512. [DOI] [PubMed] [Google Scholar]
  • 55. Trestman RL, Ford J, Zhang W, et al. . Current and lifetime psychiatric illness among inmates not identified as acutely mentally ill at intake in Connecticut’s jails. J Am Acad Psychiatry Law. 2007;35(4):490–500. [PubMed] [Google Scholar]
  • 56. Zlotnick C. Posttraumatic stress disorder (PTSD), PTSD comorbidity, and childhood abuse among incarcerated women. J Nerv Ment Dis. 1997;185(12):761–763. [DOI] [PubMed] [Google Scholar]
  • 57. Andreoli SB, Dos Santos MM, Quintana MI, et al. . Prevalence of mental disorders among prisoners in the state of Sao Paulo, Brazil. PLoS One. 2014;9(2):e88836. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Mundt AP, Alvarado R, Fritsch R, et al. . Prevalence rates of mental disorders in Chilean prisons. PLoS One. 2013;8(7):e69109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Huang G, Zhang Y, Momartin S, et al. . Prevalence and characteristics of trauma and posttraumatic stress disorder in female prisoners in China. Compr Psychiatry. 2006;47(1):20–29. [DOI] [PubMed] [Google Scholar]
  • 60. Assadi SM, Noroozian M, Pakravannejad M, et al. . Psychiatric morbidity among sentenced prisoners: prevalence study in Iran. Br J Psychiatry. 2006;188(2):159–164. [DOI] [PubMed] [Google Scholar]
  • 61. Boşgelmez S, Aker T, Köklük OA, et al. . Assessment of lifetime history of exposure to traumatic stressors by incarcerated adults with the Turkish version of the Traumatic Events Screening Instrument for Adults (TESI-A): a pilot study. J Trauma Dissociation. 2010;11(4):407–423. [DOI] [PubMed] [Google Scholar]
  • 62. Stein MB, Walker JR, Hazen AL, et al. . Full and partial posttraumatic stress disorder: findings from a community survey. Am J Psychiatry. 1997;154(8):1114–1119. [DOI] [PubMed] [Google Scholar]
  • 63. Kessler RC, Sonnega A, Bromet E, et al. . Posttraumatic stress disorder in the National Comorbidity survey. Arch Gen Psychiatry. 1995;52(12):1048–1060. [DOI] [PubMed] [Google Scholar]
  • 64. Olff M, Langeland W, Draijer N, et al. . Gender differences in posttraumatic stress disorder. Psychol Bull. 2007;133(2):183–204. [DOI] [PubMed] [Google Scholar]
  • 65. Caravaca Sánchez F, Luna A, Mundt A. Exposure to physical and sexual violence prior to imprisonment predicts mental health and substance use treatments in prison populations. J Forensic Leg Med. 2016;42:56–62. [DOI] [PubMed] [Google Scholar]
  • 66. Bracken PJ. Post-modernity and post-traumatic stress disorder. Soc Sci Med. 2001;53(6):733–743. [DOI] [PubMed] [Google Scholar]
  • 67. Gibson LE, Holt JC, Fondacaro KM, et al. . An examination of antecedent traumas and psychiatric comorbidity among male inmates with PTSD. J Trauma Stress. 1999;12(3):473–484. [DOI] [PubMed] [Google Scholar]
  • 68. Widom CS, Czaja SJ, Dutton MA. Childhood victimization and lifetime revictimization. Child Abuse Negl. 2008;32(8):785–796. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69. Ardino V, Milani L, Di Blasio P. PTSD and re-offending risk: the mediating role of worry and a negative perception of other people’s support. Eur J Psychotraumatol. 2013;4:21382. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Magruder KM, Kassam-Adams N, Thoresen S, et al. . Prevention and public health approaches to trauma and traumatic stress: a rationale and a call to action. Eur J Psychotraumatol. 2016;7:29715. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71. Morina N, Wicherts JM, Lobbrecht J, et al. . Remission from post-traumatic stress disorder in adults: a systematic review and meta-analysis of long term outcome studies. Clin Psychol Rev. 2014;34(3):249–255. [DOI] [PubMed] [Google Scholar]
  • 72. Yoon IA, Slade K, Fazel S. Outcomes of psychological therapies for prisoners with mental health problems: a systematic review and meta-analysis. J Consult Clin Psychol. 2017;85(8):783–802. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Data
Click here for additional data file. (369.3KB, pdf)

Articles from Epidemiologic Reviews are provided here courtesy of Oxford University Press

RESOURCES