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The effectiveness of community friendship groups on participant social and mental health: a meta-analysis

Social disconnectedness and isolation are risk factors for poor mental health. Community-based friendship group interventions have been designed to increase an individual's social capital and consequently their mental wellbeing. Structured and unstructured friendship groups reflect two distinct approaches to friendship group interventions.

Protocol for the development of a core outcome set for neonatal sepsis (NESCOS)

Neonatal sepsis is a serious public health problem; however, there is substantial heterogeneity in the outcomes measured and reported in research evaluating the effectiveness of the treatments. Therefore, we aim to develop a Core Outcome Set (COS) for studies evaluating the effectiveness of treatments for neonatal sepsis.

The Effectiveness of Strategies to Improve User Engagement With Digital Health Interventions Targeting Nutrition, Physical Activity, and Overweight and Obesity: Systematic Review and Meta-Analysis

Digital health interventions (DHIs) are effective in improving poor nutrition, physical inactivity, overweight and obesity. There is evidence suggesting that the impact of DHIs may be enhanced by improving user engagement. However, little is known about the overall effectiveness of strategies on engagement with DHIs.

In safe hands: child health data storage, linkage and consent for use

While there is potential for societal benefit from linkage and integration of large datasets, there are gaps in our understanding of the implications for children and young people, and limited inclusion of their views within this discourse. We aimed to understand the views and expectations of children, young people and their parents/caregivers in Aotearoa New Zealand regarding child health data storage, linkage and consent for use.

The effects of sleep duration on child health and development

Children and adolescents spend more than one-third of their time sleeping. Yet, we know little about the causal impact of sleeping on their development. This paper is the first to exploit variation in local daily daylight duration measured on pre-determined diary dates across the same individuals through time as an instrument in an individual fixed effects regression model to draw causal estimates of sleep duration on a comprehensive set of child development indicators. 

Invasive fungal disease in children with solid tumors: An Australian multicenter 10-year review

Invasive fungal disease (IFD) occurs less frequently during treatment for solid compared to hematological malignancies in children, and risk groups are poorly defined. Retrospective national multicenter cohort data (2004-2013) were analyzed to document prevalence, clinical characteristics, and microbiology of IFD.

Behavioural and neuropsychological outcomes in children exposed in utero to maternal labour epidural analgesia

Recent studies report conflicting results regarding the relationship between labour epidural analgesia (LEA) in mothers and neurodevelopmental disorders in their offspring. We evaluated behavioural and neuropsychological test scores in children of mothers who used LEA.

Australian children's physical activity and screen time while in grandparental care

The objective of this study was to explore Australian children's engagement in physical activity and screen time while being cared for by their grandparents.

A Pilot Group Program for Parents of Trans Young People at a Specialized Pediatric Gender Diversity Service

Parental support is strongly associated with protective factors across a range of child health outcomes for trans young people. Commonly, parents report barriers to supporting their child such as lack of understanding and difficulty in accessing information and support regarding gender diversity.

Severe outcomes of malaria in children under time-varying exposure

In malaria epidemiology, interpolation frameworks based on available observations are critical for policy decisions and interpreting disease burden. Updating our understanding of the empirical evidence across different populations, settings, and timeframes is crucial to improving inference for supporting public health.