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In this paper we provide an integrative synthesis of eight systematic reviews that compromise our systematic review series entitled ‘Population Perspectives on Nurturing Relational Health from Early Life’. We reflect on what we know, what we don’t know, and what we need to know to better safeguard the interpersonal world of the child.
Despite the various traumatic events that a young person living with type 1 diabetes (T1D) may experience, little is known about the burden and manifestation of traumatic stress in this population. Though mental health outcomes have been explored generally, medical trauma-sensitive approaches to understanding these experiences remain limited. We utilised a qualitative descriptive approach to explore the impact of T1D on young people’s mental health through the paediatric medical traumatic stress model.
People with intellectual disabilities living in group homes often have complex health needs, are high health service users and need support from their service provider to access health services. In Australia, little is known about the types and amounts of these supports.
Gratitude has consistently been associated with various beneficial health-related outcomes, including subjective wellbeing, positive mental health, and positive physical health. In light of such effects, positive psychology researchers and practitioners have often implemented gratitude interventions in an attempt to build individuals' orientations toward appreciation and thankfulness. Recent meta-analyses and reviews have revealed, however, that these interventions often have mixed effects on gratitude or other health outcomes.
Children living with a rare disease often endure a lengthy journey to diagnosis, commonly referred to as a diagnostic odyssey. This journey significantly impacts their physical, mental and financial wellbeing, in addition to that of their families. The diagnostic odyssey is often characterised by anxiety and stress surrounding the uncertainty of the future. This is experienced by the patient as well as by the family.
Rates of mental illness are disproportionately high for young adult and higher education (e.g., university student) populations. As such, universities and tertiary institutions often devote significant efforts to services and programs that support and treat mental illness and/or mental distress. However, within that portfolio of treatment approaches, structured exercise has been relatively underutilised and greater research attention is needed to develop this evidence base.
Psychological distress in the early postpartum period can have long-lasting deleterious effects on a mother's well-being and negatively affect her infant's development. Intervention approaches based in contemplative practices such as mindfulness and loving-kindness and compassion are intended to alleviate distress and cultivate well-being and can be delivered effectively as digital mental health interventions.
The reciprocal relationship between psychiatric and substance use disorders is well-known, yet it remains largely unknown whether mental health morbidity causally leads to addictive behaviours. This paper utilises a fixed effects instrumental variables model, which is identified by time-varying sources of plausibly exogenous variations in mental health, and a nationally representative panel dataset from Australia to present robust evidence on the causal impact of mental distress on cigarette smoking and alcohol drinking behaviours.
Mental health problems are common among university students, yet many students do not seek professional help. Digital mental health interventions can increase students' access to support and have been shown to be effective in preventing and treating mental health problems. However, little is known about the extent to which students implement therapeutic skills from these programs in everyday life (ie, skill enactment) or about the impact of skill enactment on outcomes.
The dual-factor model of mental health proposes that high wellbeing and low distress are necessary to define mental health. This study used latent profile analysis to identify mental health profiles in a sample of 3,587 Australian grade 6 students and explored the association between mental health profiles and school outcomes measured in grades 7 and 9.