Latent profiles of early developmental vulnerabilities in a New South Wales child population at age 5 years

Autor: Maina Kariuki, Stacy Tzoumakis, Sally Brinkman, Melissa J. Green, Felicity Harris, Kimberlie Dean, Marilyn Chilvers, Vaughan J. Carr, Nicole O’Reilly, Kristin R. Laurens
Přispěvatelé: Green, Melissa J, Tzoumakis, Stacy, Laurens, Kristin R, Dean, Kimberlie, Kariuki, Maina, Harris, Felicity, O'Reilly, Nicole, Chilvers, Marilyn, Brinkman, Sally A, Carr, Vaughan J
Rok vydání: 2017
Předmět:
Male
risk profiles
Pediatrics
Psychological intervention
0302 clinical medicine
Child of Impaired Parents
Pregnancy
Risk Factors
Child Abuse
Early childhood
Child
Psychiatry
Mental Disorders
05 social sciences
Censuses
General Medicine
16. Peace & justice
Latent class model
Psychiatry and Mental health
Child
Preschool

Prenatal Exposure Delayed Effects
Cohort
Female
Medical Record Linkage
New South Wales
medicine.symptom
mental health
050104 developmental & child psychology
medicine.medical_specialty
Risk Assessment
03 medical and health sciences
children
medicine
Humans
0501 psychology and cognitive sciences
Problem Behavior
business.industry
Australia
early childhood
Criminals
Mental illness
medicine.disease
Child development
Mental health
030227 psychiatry
Low birth weight
Socioeconomic Factors
record linkage
business
Demography
Zdroj: Australian & New Zealand Journal of Psychiatry. 52:530-541
ISSN: 1440-1614
0004-8674
Popis: Objective: Detecting the early emergence of childhood risk for adult mental disorders may lead to interventions for reducing subsequent burden of these disorders. We set out to determine classes of children who may be at risk for later mental disorder on the basis of early patterns of development in a population cohort, and associated exposures gleaned from linked administrative records obtained within the New South Wales Child Development Study. Methods: Intergenerational records from government departments of health, education, justice and child protection were linked with the Australian Early Development Census for a state population cohort of 67,353 children approximately 5 years of age. We used binary data from 16 subdomains of the Australian Early Development Census to determine classes of children with shared patterns of Australian Early Development Census–defined vulnerability using latent class analysis. Covariates, which included demographic features (sex, socioeconomic status) and exposure to child maltreatment, parental mental illness, parental criminal offending and perinatal adversities (i.e. birth complications, smoking during pregnancy, low birth weight), were examined hierarchically within latent class analysis models. Results: Four classes were identified, reflecting putative risk states for mental disorders: (1) disrespectful and aggressive/hyperactive behaviour, labelled ‘misconduct risk’ ( N = 4368; 6.5%); (2) ‘pervasive risk’ ( N = 2668; 4.0%); (3) ‘mild generalised risk’ ( N = 7822; 11.6%); and (4) ‘no risk’ ( N = 52,495; 77.9%). The odds of membership in putative risk groups (relative to the no risk group) were greater among children from backgrounds of child maltreatment, parental history of mental illness, parental history of criminal offending, socioeconomic disadvantage and perinatal adversities, with distinguishable patterns of association for some covariates. Conclusion: Patterns of early childhood developmental vulnerabilities may provide useful indicators for particular mental disorder outcomes in later life, although their predictive utility in this respect remains to be established in longitudinal follow-up of the cohort.
Databáze: OpenAIRE