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					Child Abuse and Women’s Mental Health: Moderating Processes Dr. Adeline Lee DPscyh(Clin) Presentation outline  Background  Research Questions & Aims  Project 1-Women Survivors  Design & Participants  Measures  Statistical Analyses  Results  Implications/Summary  Limitations  Conclusion Background  Women exposed to childhood maltreatment have a higher risk of developing Mental Illnesses.  PTSD, Depression and Anxiety  Hospital admissions (suicide & self-injury)  Adverse childhood ecology:  Attachment with parents/caregiver  Physiological vulnerabilities  Current lack of standard definition Background cont’  This Study’s Definition  Child sexual abuse (CSA): adult involving child in any sexual activity  Physical child abuse (PCA): adult physically injures a child intentionally  Emotional child abuse (ECA): no adequate affection and attention  Child neglect (CNeg): unmet basic needs  Witnessing family violence (WFV) : witnessing or being aware of violence  Multi-form abuse Background cont’  CSA, PCA & ECA independently associated with  mental illnesses  Multi-form abuse  CSA, PCA and ECA: 23 fold increase risk of PTSD1   inpatient admission   risk of BPD and adult self harm 1Schneider, R., Baumrind, N., & Kimerling, R. (2007). Exposure to child abuse and risk for mental health problems in women. Violence & Victims, 22(5), 620-631. Background cont’  However it is unclear whether:  Different forms of maltreatment is related to specific psychiatric illnesses in adulthood  The moderating interaction between different types of abuse when exploring women’s mental health  Lack of studies on ECA, CNeg and WFV Research Qs & Aims RQ: What is the relationship b/t forms of child abuse and severity in symptoms of depression, anxiety and PTSD?  extent to which all five types of child abuse (PCA, ECA, CSA, CNeg and WFV) simultaneously predict depression, anxiety and post-traumatic stress symptoms RQ: What are the moderating interactions between the five different abuse types on the depression, anxiety and PTSD? Design & Participants  Cross sectional survey of 108 women who have experienced any form of childhood abuse  Exclusion criteria: Non-English speakers & women deemed too unwell to participate by clinicians  Recruitment  - By referral from GP and other health practitioners  - By advertisement/flyers in hospitals, medical community health centres and universities  - By open advertisement in general media Measures  Childhood Maltreatment History  Comprehensive Childhood Maltreatment Scale – Adult version (CCMS-A)      Child sexual abuse (CSA) Physical child abuse (PCA) Emotional childhood abuse (ECA) Childhood neglect (CNeg) Witnessing family violence (WFV) Measures cont’  Symptom severity of mental illnesses  Beck Depression inventory 2nd Ed (BDI-II)  Beck Anxiety Inventory (BAI)  Post traumatic Stress Checklist- civilian version (PCL-C)  Formal mental illness diagnoses  MINI International Neuropsychiatric Interview (MINI)  Help seeking behavior and experience  What helped Statistical Analyses  Descriptive analyses such as percentages and means  Hierarchical multiple linear regression analyses predict severity of depression, anxiety and PTSD and to assess for additional contributions of moderator-interactions among abuse types  To understand the moderating relationship between abuse types on mental health, plots and post-hoc probing of significant interactions between abuse types was conducted 5/24/2017 Monash Alfred Psychriatry Reseacrh Centre Results  Results from 108 women survivors  Mean age = 40.7 years (range 20-59 years)  The majority of women:  single/never married (42.1%)  live alone / with unrelated other (35.5%)  completed university degree (43.9%)  part-time employed (28%)  household yearly income over $12001 (86.8%) Results CCMS-A Frequency (%) of women endorsing abuse type and CCMS-A mean (SD) N=107 Child Abuse Type Frequency (%)* 105 (98.1) Mean CCMS-A Score (SD) 13.81 (7.3) Physical Child Abuse 98 (91.6) 5.66 (5.7) Witnessing Family Violence 101 (94.4) 4.60 (2.4) Child Neglect 83 (77.6) 5.1 (5.3) Child Sexual Abuse 67 (62.6) 10.92 (14.5) Emotional Child Abuse Total Score 40.01 (20.71) *Participants reporting their caregivers at least ‘occasionally’ engaged in the behaviours within the CA subscales are classified as having experienced the corresponding CA types Results BAI, BDI-II & PCL-C BAI Severity Category BDI-II Severity Category Severe 16, 15% Minimal 31, 29% Moderate 32, 29% Severe 25, 23% Minimal 40, 38% Moderate 25, 23% Mild, 17 16% Mild 28, 26% Total Mean Score 15.0 SD=9.9 PCL-C Severity Category No PTSD 54, 50% Probab le PTSD 53, 50% Total Mean Score 43.0 SD=16 Total Mean Score 15.0 SD=9.9 Results BDI-II HMR (Interactions) Adj. R2 Step 1 CCMS-A Scales .13**  R2 Change .18** WFV -.21* CNeg .30** CSA .24* Step 2 CCMS-A Scales .20 .14 WFV -.28** CNeg .37** CSA .25** PCAxWFV -.51** ECAxWFV .31* Results BDI-II Significant Interactions Plots 35 30 25 20 WFV=+1SD 15 30 10 25 5 0 PCA=-1SD PCA=+1SD BDI BDI WFV=-1SD 20 WFV=-1SD 15 WFV=+1SD 10 5 0 ECA=-1SD ECA=+1SD Results BAI HMR (Interactions) Adj. R2 Step 1 CCMS-A Scales .06*  R2 Change .11* WFV -.24* CNeg .22* Step 2 CCMS-A Scales WFV .05 .08 -.27* Results PCL-C HMR (Interactions) Adj. R2 Step 1 CCMS-A Scales .12* R2 Change .13* CNeg Step 2 CCMS-A Scales  .28** .15 .11 WFV -.24* CNeg .34** PCAxWFV -.50** ECAxWFV .33* Socio demographic Age was significantly correlated to PCL-C, therefore was entered in step of the PCL-C model. Age was only significant in the first step. Results PLC-C Significant Interactions Plots 70 60 50 WFV=+1SD 30 20 60 10 50 0 PCA=-1SD PCA=+1SD 40 PCL-C PCL-C WFV=-1SD 40 WFV=-1SD 30 WFV=+1SD 20 10 0 ECA=-1SD ECA=+1SD Implications / Summary  High prevalence of depression, anxiety and post-traumatic stress in women survivors of child abuse  Presence of multiple/co-occurring abuse types  Impact of child neglect on depression and trauma after controlling for other child abuse types Implications / Summary  Interaction between child abuse types WFV and PCA  Higher levels of physical child abuse were found to be associated with higher levels of depression and posttraumatic stress only when family violence was witnessed infrequently.  Normalization of violence  Lowers internalization  Victims supporting each other Implications / Summary  Interaction between child abuse types WFV and ECA  When family violence was frequently witnessed, higher levels of ECA were associated with higher levels of post-traumatic stress  Dose response theory  PCA and ECA are likely to co-occur with WFV  Experience of physical abuse and emotional abuse are different or may have different mechanisms Implications / Summary  Clinical complexity as depression, anxiety and PTSD are highly comorbid disorders for child abuse survivors and have diagnostic symptoms in common  Victims may not report their abuse experiences when presenting for assistance  Consider comprehensive trauma assessment to more effectively identify, support and engage with survivors Limitations  Cross-sectional not causal  Despite fulfilling power calculations will benefit from larger sample size to further explore interactions  Retrospective assessment  Generalizability as only focused on child abuse survivors Conclusion  Complex relationship found between child abuse and depression, anxiety and PTSD  Future research to consider all forms of child abuse and account for interactions when assessing mental health outcomes  Utilizing standardized assessment  behavioral questions  collects frequency and severity of abuse  differentiates types of perpetrators  Longitudinal studies References          Briere, J., & Scott, C. (2006). Principles of trauma therapy: A guide to symptoms, evaluation and treatment. California: Sage Publication. Carlin, A. S., Kemper, K., Ward, N. G., Sowell, H., & et al. (1994). The Effect of Differences in Objective and Subjective Definitions of Childhood Physical Abuse on Estimates of Its Incidence and Relationship to Psychopathology. Child Abuse & Neglect, 18(5), 393-399. Foa, E. B. (2000). Psychosocial treatment of posttraumatic stress disorder. Journal of Clinical Psychiatry, 61(Suppl 5), 43-48. Higgins, D., McCabe, M., & Ricciardelli, L. (2003). Child maltreatment, family characteristics and adult adjustment mediating and moderating processes. Journal of Aggression, Maltreatment & Trauma, 6(2), 61-86. Green, J., McLaughlin, K., Berglund, P., BGruber, M., Sampson, N., Zaslavsky, A., & Kessler, R. (2010). Childhood adversities and adult psychiatric disorder in the national comorbidity survey replication i associations with first onset of dsm-iv disorders. Archives of General Psychiatry, 67(2), 113-123. McLaughlin, K. A., Green, J. G. P., Gruber, M. J., Sampson, N. A., Zaslavsky, A. M., & Kessler, R. C. (2010). Childhood adversities and adult psychiatric disorders in the national comorbidity survey replication ii: Associations with persistence of dsm-iv disorders. Archives of General Psychiatry February, 67(2), 124-132. Miller, S., Wolff, M., & Scott, S. T. (2000). Eating Disorders, Child Maltreatment, and PostTraumatic Stress in Women. Family Violence & Sexual Assault Bulletin, 16(4), 17-22. Schneider, R., Baumrind, N., & Kimerling, R. (2007). Exposure to child abuse and risk for mental health problems in women. Violence & Victims, 22(5), 620-631. Wilkinson, P., & Goodyear, I. (2011). Childhood adversity and allostatic overload of the hypothalamic–pituitary–adrenal axis: A vulnerability model for depressive disorders. Development and psychopathology, 23(4), 1017-1037. Acknowledgments This research was supported by the Australian Postgraduate Award and Mental Health Postgraduate Scholarship Scheme, both from the Australian Government awarded to Dr. Adeline Lee Thank You Questions… Author contact email: [email protected]
 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
                                             
                                             
                                             
                                             
                                             
                                             
                                             
                                             
                                            