Latent Class Analysis to Determine High-Risk Profiles of Adverse Childhood Experiences and their Interactions with Psychological Resources, High-Risk Behaviours, and Physical and Mental Disorders
Applied/Translational Research
Care Continuum
Singapore Health Biomedical Congress
National Healthcare Group
31 December 2021
Identify latent classes of individuals with adverse childhood experiences and their interactions with psychological and. Person-centered approaches and ACE profiling provide valuable insights for trauma-focused, tailored interventions.
Year Submitted: 2021
Published Date: 31 December 2021
Tags: Applied/Translational Research, Care Continuum, Quantitative Research, Population Health, Physical Health, Mental Health
About this Content
Aims
Identify latent classes of individuals with adverse childhood experiences and their interactions with psychological and behavioral factors.
Background
Adverse childhood experiences (ACEs) are highly variable and understudied in relation to long-term impacts on mental and physical health.
Methods
Latent class analysis of 4,441 participants; socio-demographic data, ACEs, and psychological resources evaluated using R and Mplus statistical software.
Results
Identified three classes of ACE profiles: Low Adversities (86.2%), Emotionally Neglected and Bullied (7.6%), and Multiple Adversities (6.1%). Significant mental health and behavioral differences were noted across classes.
Conclusion
Person-centered approaches and ACE profiling provide valuable insights for trauma-focused, tailored interventions.
Lessons Learnt
Interventions targeting social support and positive mental health can mitigate suicidality risks associated with ACEs.
Additional Information
Published in the Journal of Affective Disorders (Impact Factor: 4.839). Recognized with a Gold award at SHBC 2021 (Singapore Allied Health Award).
Keywords
Adverse Childhood Experiences, Trauma, Suicide Prevention
Innovators' Details
Innovators' Details
Healthcare Cluster(s) | National Healthcare Group |
Organization(s) Involved | Institute of Mental Health |
Platform(s) | Singapore Health Biomedical Congress |
Healthcare Professional Group(s) | Allied Health |
Applicable Specialty or Discipline | General Research, Psychology, Paediatrics |
Project Lead(s) | Jianlin Liu |
Project Member(s) | Edimansyah Abdin |
Connect with this contributor!
Dr. Jianlin Liu - jianlinliu@imh.com.sg
Project Attachment
C400_IMH_SHBC_2021_Latent_Class_Analysis_to_Determine_High_Risk_Profiles_of_Adverse_Childhood.pdf