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Background: Regular contact with specialist care has been linked to better diabetes outcomes for young people with type 1 diabetes (YPwT1D), but evidence is limited to population‐based service usage and outcomes. Aims: This observational 5‐year study sought to capture YPwT1D living in the study catchment area (covering metropolitan, regional and rural Australia) as they transitioned to adult‐based diabetes healthcare services and to describe their glycaemic control and complication rates, service usage and associated factors. Methods: Records between 2010 and 2014 in a public healthcare specialist diabetes database were extracted, care processes and outcomes were described, and associations were sought between episodes of care (EOC) and potentially predictive variables. Results: Annual cohort numbers increased yearly, but without significant differences in demographic characteristics. Each year around 40% had no reported planned specialist care, and the average number of planned EOC decreased significantly year on year. Overall, mean HbA1c levels also reduced significantly, but with higher values recorded for those living in non‐metropolitan than metropolitan areas (achieving significance in 3 out of 5 years). Diabetes complication assessments were only reported in 37–46%, indicating one in five with retinopathy and hypertension affecting one in three to five young people. Conclusions: Findings highlight the importance of investment to address the specific needs of adolescents and young adults and demonstrate the need for better support during these vulnerable early years, particularly for non‐metropolitan residents. This will entail changes to funding mechanisms, the health workforce and infrastructure, and new models of care to provide equity of access and quality of specialist care. [ABSTRACT FROM AUTHOR]

The cornerstone of obesity treatment is behavioural weight management, resulting in significant improvements in cardio-metabolic and psychosocial health. However, there is ongoing concern that dietary interventions used for weight management may precipitate the development of eating disorders. Systematic reviews demonstrate that, while for most participants medically supervised obesity treatment improves risk scores related to eating disorders, a subset of people who undergo obesity treatment may have poor outcomes for eating disorders. This review summarises the background and rationale for the formation of the Eating Disorders In weight-related Therapy (EDIT) Collaboration. The EDIT Collaboration will explore the complex risk factor interactions that precede changes to eating disorder risk following weight management. In this review, we also outline the programme of work and design of studies for the EDIT Collaboration, including expected knowledge gains. The EDIT studies explore risk factors and the interactions between them using individual-level data from international weight management trials. Combining all available data on eating disorder risk from weight management trials will allow sufficient sample size to interrogate our hypothesis: that individuals undertaking weight management interventions will vary in their eating disorder risk profile, on the basis of personal characteristics and intervention strategies available to them. The collaboration includes the integration of health consumers in project development and translation. An important knowledge gain from this project is a comprehensive understanding of the impact of weight management interventions on eating disorder risk. [ABSTRACT FROM AUTHOR]

Background: There is evidence that physical activity (PA), sitting time, and obesity may impact cognition, but few studies have examined this in young women. Methods: Healthy women (18–35 y), without conditions that impair cognition, were recruited for this cross-sectional study. Participants completed anthropometric and validated computerized cognitive assessments (IntegNeuro™). Performance on 5 cognitive domains (impulsivity, attention, information processing, memory, and executive function) was reported as z scores. Sitting hours and weekly PA calculated from time in low-, moderate-, and high-intensity activity were obtained via the International Physical Activity Questionnaire. Analysis of variance/analysis of covariance, chi-square, and linear regression were used. Results: 299 (25.9 [5.1] y) women (low PA = 19%; moderate PA = 40%; high PA = 41%) participated. High PA women had lower body mass index (high PA = 26.1 [6.5]; moderate PA = 30.0 [8.7]; low PA = 31.0 [11.1] kg/m2; P <.001) and less sitting time (high PA = 6.6 [3.1]; moderate PA = 7.7 [2.8]; low PA = 9.3 [3.6] hr/weekday; P <.0001). Cognitive function was within normal ranges and did not differ between any PA groups (P =.42). Adjusting for body mass index, C-reactive protein, or sitting hours did not alter results. Weak correlations were found between time in high-intensity activity and impulsivity (b = 0.12, r2 =.015; P =.04), and between sitting hours and information processing efficiency (b = −0.18, r2 =.03; P =.002). Valuesare presented as mean (SD). Conclusions: Cognitive function was within the normal range, regardless of PA or sitting time. [ABSTRACT FROM AUTHOR]

Objectives: 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. Methods: The FPS is an Australian school‐based prospective cohort study with an embedded cluster‐randomized controlled trial examining the effects of digital prevention programs on mental health. Data sources include self‐report questionnaires, cognitive functioning, linkage to health and education records, and smartphone sensor data. Participants are assessed annually for 5 years. Results: The baseline cohort (N = 6388, M = 13.9 years) is broadly representative of the Australian adolescent population. The clinical profile of participants is comparable to other population estimates. Overall, 15.1% of the cohort met the clinical threshold for depression, 18.6% for anxiety, 31.6% for psychological distress, and 4.9% for suicidal ideation. These rates were significantly higher in adolescents who identified as female, gender diverse, sexuality diverse, or Aboriginal and/or Torres Strait Islander (all ps < 0.05). Conclusions: This paper provides current and comprehensive data about the status of adolescent mental health in Australia. The FPS cohort is expected to provide significant insights into the risk, protective, and mediating factors associated with development of mental health conditions during adolescence. [ABSTRACT FROM AUTHOR]

Summary: Consuming a greater proportion of total energy intake earlier in the day rather than in the evening is proposed to positively influence weight loss and health, potentially due to greater synchronization of human body circadian rhythms. This systematic review provides an update on existing evidence regarding earlier distributed eating patterns in weight loss interventions. Using a robust search strategy in five electronic databases, nine randomized controlled trials investigating the impact of energy intake distribution on weight loss were identified. Following critical appraisal, a random‐effects meta‐analyses found that, in the context of an energy‐reduced diet, distributing energy intake with a focus on earlier intake resulted in significantly greater weight loss (−1.23 kg; 95% CI 2.40, −0.06, p = 0.04). Improvements in HOMA‐IR, fasting glucose, and LDL cholesterol were also seen. The current study provides a timely update on the evidence linking distribution of total daily energy intake and health, showing that a focus on earlier intakes can result in greater short‐term weight loss compared with later intakes. Future studies are needed to elucidate the impact that earlier intakes may have on weight management and metabolic health. [ABSTRACT FROM AUTHOR]

Objective: To investigate associations between measured and perceived weight, and symptoms of depression in rural Australian adolescents. Method: At baseline a prospective rural adolescent cohort study collected demographic data, measured weight and height, weight self-perception, and presence of depression (Short Mood and Feelings Questionnaire). Using World Health Organisation's (WHO) age and gender body mass index (BMI) standardisations, participants were classified into four perceptual groups: PG1 healthy/perceived healthy; PG2 overweight/perceived overweight; PG3 healthy/perceived overweight; and PG4 overweight/perceived healthy. Logistic regression analyses explored relationships between these groups and symptoms of depression. Results: Data on adolescents (n = 339) aged 9–14. PG1 contained 63% of participants, PG2 18%, PG3 4% and PG4 14%. Across the cohort, 32% were overweight and 13% had symptoms of depression. PG2 (overweight/perceived overweight) were more likely to experience symptoms of depression than PG1 (healthy/perceived healthy; Adjusted Odds Ratio [AOR] 3.1, 95% CI 1.5–6.7). Females in PG3 (healthy/perceived overweight) were more likely to experience symptoms of depression (38%) than males (14%) and females in PG1 (10%, AOR 5.4, 95% CI 1.1–28.2). Conclusions: Results suggest that perceptions of being overweight may be a greater predictor for symptoms of depression than actual weight. This has public health implications for youth mental health screening and illness prevention. [ABSTRACT FROM AUTHOR]