RESUMO
OBJECTIVE: Although there is emerging evidence for the factorial validity of the distinction between post-traumatic stress disorder (PTSD) and complex PTSD (CPTSD) proposed in ICD-11, such evidence has been predominantly based on using selected items from individual scales that describe these factors. We have attempted to address this gap in the literature by testing a range of alternative models of disorders of traumatic stress using a broader range of symptoms and standardized measures. METHOD: Participants in this cross-sectional study were a sample of individuals who were referred for psychological therapy to a National Health Service (NHS) trauma centre in Scotland (N = 195). Participants were recruited over a period of 18 months and completed measures of stressful life events, DSM-5 PTSD, emotion dysregulation, self-esteem and interpersonal difficulties. RESULTS: Overall, results indicate that a structural model incorporating six first-order factors (re-experiencing, avoidance of traumatic reminders, sense of threat, affective dysregulation, negative self-concept and disturbances in relationships) and two second-order factors (PTSD and disturbances in self-organization [DSO]) was the best fitting. The model presented with good concurrent validity. Childhood trauma was found to be more strongly associated with DSO than with PTSD. CONCLUSION: Our results are in support of the ICD-11 proposals for PTSD and CPTSD.
Assuntos
Transtornos de Estresse Pós-Traumáticos/psicologia , Estudos Transversais , Manual Diagnóstico e Estatístico de Transtornos Mentais , Feminino , Humanos , Acontecimentos que Mudam a Vida , Masculino , Modelos Psicológicos , Escalas de Graduação PsiquiátricaRESUMO
INTRODUCTION: Suicide is a tragic outcome with devastating consequences. In 2018, Scotland experienced a 15% increase in suicide from 680 to 784 deaths. This was marked among young people, with an increase of 53% in those aged 15-24, the highest since 2007. Early intervention in those most at risk is key, but identification of individuals at risk is complex, and efforts remain largely targeted towards universal suicide prevention strategies with little evidence of effectiveness.Recent evidence suggests childhood adversity is a predictor of subsequent poor social and health outcomes, including suicide. This protocol reports on methodology for harmonising lifespan hospital contacts for childhood adversity, mental health, and suicidal behaviour. This will inform where to 1) focus interventions, 2) prioritise trauma-informed approaches, and 3) adapt support avenues earlier in life for those most at risk. METHODS: This study will follow a case-control design. Scottish hospital data (physical health SMR01; mental health SMR04; maternity/birth record SMR02; mother's linked data SMR01, SMR04, death records) from 1981 to as recent as available will be extracted for people who died by suicide aged 10-34, and linked on Community Health Index unique identifier. A randomly selected control population matched on age and geography at death will be extracted in a 1:10 ratio. International Classification of Disease (ICD) codes will be harmonised between ICD9-CM, ICD9, ICD10-CM and ICD10 for childhood adversity, mental health, and suicidal behaviour. RESULTS: ICD codes for childhood adversity from four key studies are reported in two categories, 1) Maltreatment or violence-related codes, and 2) Codes suggestive of maltreatment. 'Clinical Classifications Software' ICD codes to operationalise mental health codes are also reported. Harmonised lifespan ICD categories were achieved semi-automatically, but required labour-intensive supplementary manual coding. Cross-mapped codes are reported. CONCLUSION: There is a dearth of evidence about touchpoints prior to suicide. This study reports methods and harmonised ICD codes along the lifespan to understand hospital contact patterns for childhood adversity, which come to the attention of hospital practitioners. KEY WORDS: Childhood Adversity, Adverse Childhood Experiences, Mental Health, Self-harm, Suicide, Suicidality, Violence, Hospital episodes, Routine Data, Data Linkage, Study Protocol.