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 |
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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 |
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