Skip to content

Search

Supporting the Social-Emotional Well-Being of Elementary School Students Who Are Deaf and Hard of Hearing: A Pilot Study

Children who are Deaf and Hard of Hearing, their parents, Teachers of the Deaf, and other community stakeholders were involved in co-designing a web-based resource to support students' social-emotional well-being.

Airway smooth muscle thickness and contraction are enhanced by intra-amniotic lipopolysaccharide in an ovine model of premature birth

Abnormalities of the airway smooth muscle (ASM) layer in asthma may develop before birth. We hypothesize that antenatal inflammation causes physiological abnormalities of the ASM that predisposes asthma. This study determined the short-term effects of antenatal inflammation on the developing ASM.

Chronic Pain in Young People with Cerebral Palsy: Activity Limitations and Coping Strategies

To describe the effect of chronic pain on the activities of children and adolescents with cerebral palsy, to describe coping strategies, and to examine associations between effect of pain on activities, coping strategies, and level of pain.

Starting the SToP trial: Lessons from a collaborative recruitment approach

Recruitment in research can be challenging in Australian Aboriginal contexts. We aimed to evaluate the SToP (See, Treat, Prevent skin infections) trial recruitment approach for Aboriginal families to identify barriers and facilitators and understand the utility of the visual resource used.

Reproducibility of plasma glucose responses to moderate-intensity exercise in individuals with type 1 diabetes

To examine the within-person variability in plasma glucose responses to moderate-intensity morning exercise in young individuals with type 1 diabetes after overnight fasting and under basal insulin conditions.

The Future Proofing Study: Design, methods and baseline characteristics of a prospective cohort study of the mental health of Australian adolescents

The Future Proofing Study (FPS) was established to examine factors associated with the onset and course of mental health conditions during adolescence. This paper describes the design, methods, and baseline characteristics of the FPS cohort.

Goal motives and mental contrasting with implementation intentions facilitate strategic goal persistence and disengagement

In three experiments, we examine the role of motives underlying goal pursuit and the metacognitive strategy of mental contrasting with implementation intentions (MCII) to predict the strategic use of self-regulation responses (persistence, disengagement, and reengagement) when faced with attainable, unattainable, or multiple goals.

The effects of acamprosate on maternal and neonatal outcomes in a mouse model of alcohol use disorders

Despite the teratogenic effects of alcohol, little is known about the safety of pharmacotherapies such as acamprosate for the treatment of alcohol use disorders in pregnancy. The aims of this study were to investigate, in a mouse model, the effects of maternally administered acamprosate on maternal and neonatal health, offspring neurodevelopment and behaviour, as well as examine whether acamprosate reduces the neurological harm associated with alcohol consumption in pregnancy.

The health-related quality of life of lung cancer patients with EGFR-The Kids-related skin adverse drug reactions and its relationship with coping style and self-management

The status and associated factors of the health-related quality of life of non-small-cell lung cancer patients under targeted anti-cancer therapy have not been investigated. Self-management and coping style have been proven to be closely related to patients’ health-related quality of life.

Development of prognostic model for preterm birth using machine learning in a population-based cohort of Western Australia births between 1980 and 2015

Preterm birth is a global public health problem with a significant burden on the individuals affected. The study aimed to extend current research on preterm birth prognostic model development by developing and internally validating models using machine learning classification algorithms and population-based routinely collected data in Western Australia.