{"title":"The prevalence of traumatic experiences and PTSD according to DSM-5 and ICD-11 in the German general population.","authors":"Amelie Pettrich, Yuriy Nesterko, Heide Glaesmer","doi":"10.1017/S2045796025100164","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>The Diagnostic and Statistical Manual of Mental Disorders - 5th Edition (DSM-5) and International Classification of Diseases - 11th Revision (ICD-11) employ different post-traumatic stress disorder (PTSD) criteria, necessitating updated prevalence estimates. Most of the existing evidence is still based on ICD-Tenth Revision and DSM-Fourth Edition criteria, leading to varied estimates across populations. This study provides current PTSD prevalence rates in the German general population, comparing DSM-5 and ICD-11 criteria and examines variations by age and gender.</p><p><strong>Methods: </strong>In a 2016 cross-sectional survey of 2404 adults (18-94 years) representative of the German general population, participants completed the Life-Events-Checklist for DSM-5 (LEC-5) for trauma exposure and the PTSD Checklist for DSM-5 (PCL-5) for PTSD symptoms. Probable PTSD diagnoses were based on DSM-5-, ICD-11-algorithms and suggested cut-off scores. Chi-square and McNemar's tests were used to test differences in prevalence rates by diagnostic framework, age and gender.</p><p><strong>Results: </strong>Of the total sample, 47.2% (<i>n</i> = 1135) reported experiencing at least one lifetime traumatic event (TE), with transportation accidents (7.3%) and life-threatening injuries (4.9%) being most common. Probable PTSD prevalence was 4.7% under both DSM-5 and ICD-11 criteria, and 2.6% based on a conservative cut-off normed for prevalence estimation. Gender and age were not significantly associated with TE exposure or PTSD prevalence, though trauma types varied: female participants more often reported sexual violence and severe suffering, while more male participants reported physical assaults and various types of accidents. DSM-5 and ICD-11 diagnostic algorithms had substantial yet not perfect agreement (<i>κ</i> = 0.62). Particularly within the re-experiencing symptoms, cluster agreement was only moderate (<i>κ</i> = 0.57). The cut-off method aligned more closely with DSM-5 (<i>κ</i> = 0.60) than ICD-11 algorithm (<i>κ</i> = 0.42).</p><p><strong>Conclusions: </strong>This study provides updated PTSD prevalence estimates for the German general population and underscores differences between DSM-5 and ICD-11 in identifying cases, particularly with respect to re-experiencing symptoms. These findings emphasize that while overall PTSD prevalence rates under DSM-5 and ICD-11 criteria are similar, the diagnostic frameworks identify partially distinct cases, reflecting differences in symptom definitions. This highlights the need to carefully consider the impact of evolving diagnostic criteria when interpreting prevalence estimates and comparing results across studies.</p>","PeriodicalId":11787,"journal":{"name":"Epidemiology and Psychiatric Sciences","volume":"34 ","pages":"e44"},"PeriodicalIF":6.1000,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12450535/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epidemiology and Psychiatric Sciences","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1017/S2045796025100164","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0
Abstract
Aims: The Diagnostic and Statistical Manual of Mental Disorders - 5th Edition (DSM-5) and International Classification of Diseases - 11th Revision (ICD-11) employ different post-traumatic stress disorder (PTSD) criteria, necessitating updated prevalence estimates. Most of the existing evidence is still based on ICD-Tenth Revision and DSM-Fourth Edition criteria, leading to varied estimates across populations. This study provides current PTSD prevalence rates in the German general population, comparing DSM-5 and ICD-11 criteria and examines variations by age and gender.
Methods: In a 2016 cross-sectional survey of 2404 adults (18-94 years) representative of the German general population, participants completed the Life-Events-Checklist for DSM-5 (LEC-5) for trauma exposure and the PTSD Checklist for DSM-5 (PCL-5) for PTSD symptoms. Probable PTSD diagnoses were based on DSM-5-, ICD-11-algorithms and suggested cut-off scores. Chi-square and McNemar's tests were used to test differences in prevalence rates by diagnostic framework, age and gender.
Results: Of the total sample, 47.2% (n = 1135) reported experiencing at least one lifetime traumatic event (TE), with transportation accidents (7.3%) and life-threatening injuries (4.9%) being most common. Probable PTSD prevalence was 4.7% under both DSM-5 and ICD-11 criteria, and 2.6% based on a conservative cut-off normed for prevalence estimation. Gender and age were not significantly associated with TE exposure or PTSD prevalence, though trauma types varied: female participants more often reported sexual violence and severe suffering, while more male participants reported physical assaults and various types of accidents. DSM-5 and ICD-11 diagnostic algorithms had substantial yet not perfect agreement (κ = 0.62). Particularly within the re-experiencing symptoms, cluster agreement was only moderate (κ = 0.57). The cut-off method aligned more closely with DSM-5 (κ = 0.60) than ICD-11 algorithm (κ = 0.42).
Conclusions: This study provides updated PTSD prevalence estimates for the German general population and underscores differences between DSM-5 and ICD-11 in identifying cases, particularly with respect to re-experiencing symptoms. These findings emphasize that while overall PTSD prevalence rates under DSM-5 and ICD-11 criteria are similar, the diagnostic frameworks identify partially distinct cases, reflecting differences in symptom definitions. This highlights the need to carefully consider the impact of evolving diagnostic criteria when interpreting prevalence estimates and comparing results across studies.
期刊介绍:
Epidemiology and Psychiatric Sciences is a prestigious international, peer-reviewed journal that has been publishing in Open Access format since 2020. Formerly known as Epidemiologia e Psichiatria Sociale and established in 1992 by Michele Tansella, the journal prioritizes highly relevant and innovative research articles and systematic reviews in the areas of public mental health and policy, mental health services and system research, as well as epidemiological and social psychiatry. Join us in advancing knowledge and understanding in these critical fields.