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.
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http://dx.doi.org/10.1177/0004867417740208 | DOI Listing |
J Neurol
January 2025
Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, 18 Innovation Walk, Clayton, Victoria, 3800, Australia.
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Research Flagship Center for Inequalities, Interventions and New Welfare State, University of Turku.
This preregistered longitudinal study examined the long-term effects of the COVID-19 pandemic on academic self-efficacy and cognitive reappraisal in early adolescence. It followed and compared two cohorts over 4 years: one prepandemic (11-14 years, 2016-2019) and one during the pandemic (2019-2022). The study analyzed annual well-being surveys merged with school enrolment data from South Australian public schools ( = 28,307, 49% female).
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Department of General Surgery, Joondalup Health Campus, Perth, Western Australia, Corner Grant Boulevard & Shenton Avenue, Joondalup, Western Australia, Australia, 6027.
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Trials
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Women's Health, Te Whatu Ora Te Toka Tumai Auckland, 2 Park Road, Grafton, Auckland, 1023, New Zealand.
Background: The approach to induction of labour differs internationally, with timing of amniotomy being controversial. Some institutions favour performing artificial rupture of membranes prior to commencement of oxytocin infusion, with the belief that the labour will progress more efficiently. In other institutions, the approach recommended is for oxytocin infusion with intact amniotic membranes until the person has reached the active phase of labour, citing risk of infection with early amniotomy.
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January 2025
Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Bipolar disorder is a leading contributor to the global burden of disease. Despite high heritability (60-80%), the majority of the underlying genetic determinants remain unknown. We analysed data from participants of European, East Asian, African American and Latino ancestries (n = 158,036 cases with bipolar disorder, 2.
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