Publications by authors named "F Mitrou"

Purpose: Despite the volume of accumulating knowledge from prospective Aboriginal cohort studies, longitudinal data describing developmental trajectories in health and well-being is limited. The linkage of child and carer cohorts from a historical cross-sectional survey with longitudinal health-service and social-service administrative data has created a unique and powerful data resource that underpins the Western Australian Aboriginal Child Health Survey (WAACHS) linked data study. This study aims to provide evidence-based information to Aboriginal communities across Western Australia, governments and non-government agencies on the heterogeneous life trajectories of Aboriginal children and families.

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This study explores the allocation of time, particularly to sleep, among children and adolescents in response to daily daylight variation. Utilising a dataset of over 50,000 time-use diaries from two Australian cohorts spanning 16 years and employing an individual fixed effects estimator, we uncover a substantial causal impact of daily daylight duration on sleep patterns. Our findings reveal that days with longer daylight hours are associated with a decrease in total sleep duration, primarily driven by a later sleep onset time.

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Growing up in socioeconomic disadvantage increases risk of peer bullying at school. Both socioeconomic status and involvement in bullying are predictive of a range of adverse developmental outcomes. However, neither (a) the mechanisms whereby disadvantage increases bullying risk nor (b) the developmental outcomes for which bullying may mediate disadvantage are clear.

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Purpose: To estimate the prevalence, distribution, and co-occurrence of mental ill-health and substance use among gender and sexuality diverse young people relative to their cisgender and heterosexual peers in Australia using population-level, nationally representative data.

Methods: We utilised Wave 8 (2018) data from the Longitudinal Study of Australian Children (N = 3037, M = 18.4) collected via an assessment protocol comprising interviews, direct observations, and assessments (on average 60 min per survey occasion).

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Studies on health insurance coverage often rely on measures self-reported by respondents, but the accuracy of such measures has not been thoroughly validated. This paper is the first to use linked Australian National Health Survey and administrative population tax data to explore the accuracy of self-reported private health insurance (PHI) coverage in survey data. We find that 11.

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