Publications by authors named "A H Leyland"

Objective: There is limited evidence on how the physical health of children and young people (CYP) who are care experienced (eg, in foster or out-of-home care) compares to the general population. UK research suggests that the prevalence of some chronic conditions may be similar for these groups.

Design: We undertook longitudinal population-wide data linkage of social care, prescription and hospitalisation records for care experienced and general population CYP born 1990-2004, followed from birth to August 2016.

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Objectives: This study investigated sustainability and multimorbidity alongside barriers to employment including health and policy to demonstrate intersectional impact on return-to-work success within a UK welfare-to-work programme.

Design: Cohort study design: The study calculated the proportion of time spent employed after experiencing a job start and the proportion retaining work over 6 months. Employment/unemployment periods were calculated, sequence-index plots were produced and visualisations were explored by benefit type and age.

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Importance: Prenatal diet may be causally related to autism; however, findings are inconsistent, with a limited body of research based on small sample sizes and retrospective study designs.

Objective: To investigate the associations of prenatal dietary patterns with autism diagnosis and autism-associated traits in 2 large prospective cohorts, the Norwegian Mother, Father, and Child Cohort Study (MoBa), and the Avon Longitudinal Study of Parents and Children (ALSPAC).

Design, Setting, And Participants: This cohort study used data from MoBa and ALSPAC birth cohort studies conducted across Norway and in the Southwest of England, respectively.

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Preschool childcare is considered an important policy for reducing inequalities in children's cognitive and socio-emotional development, although the population-level benefits for children under three years, is less clear. We examined the potential for childcare across the whole early years' period to benefit mental health and reduce inequalities, under different hypothetical policy scenarios, in the Growing Up in Scotland study. Marginal structural logistic regression models estimated odds ratios (ORs) to quantify inequalities in mental health and consider how these would be altered under different hypothetical scenarios.

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