The impacts of an mHealth intervention targeting parents on health service usage and out-of-pocket costs in the first 9 months of life: The Growing healthy app.

Mobile health (mHealth) interventions provide a low-cost, scalable approach to supporting parents with infant feeding advice with the potential to reduce health care visits and associated costs for infant feeding support. This Australian study examined the impact of the Growing healthy (GH) app on health service utilisation and out-of-pocket costs for families in the first 9 months of their infants life. A quasi-experimental study with a comparison group was conducted in 2015-2016 with an mHealth intervention group (GH app, n = 301) and a nonrandomized usual care group (n = 344). The GH app aimed to support parents of young infants with healthy infant feeding behaviours from birth to 9 months of age. App-generated notifications directed parents to age-and feeding-specific content within the app. Both groups completed surveys at baseline when infants were less than 3 months old (T1), at 6 months (T2) and 9 months (T3) of age. At T3, participants reported health services used and any out-of-pocket costs for advice on infant feeding, growth or activity. App users had lower odds (odds ratio: 0.38 95% confidence interval: 0.25, 0.59) of using one or more services and had lower number of visits to a general practitioner (1.0 vs. 1.5 visits, p = 0.003) and paediatrician (0.3 vs. 0.4 visits, p = 0.049) compared to the usual care group. There was no difference in out-of-pocket costs between groups. Provision of an evidenced-based infant feeding app may provide substantial savings to the health system and potentially to parents through fewer primary health care and paediatrician visits.

A protocol of a pilot randomised trial (Action-RESPOND) to support rural and regional communities with implementing community-based systems thinking obesity prevention initiatives.

BACKGROUND: Over a quarter of children aged 2-17 years living in Australia are overweight or obese, with a higher prevalence reported in regional and remote communities. Systems thinking approaches that seek to support communities to generate and implement locally appropriate solutions targeting intertwined environmental, political, sociocultural, and individual determinants of obesity have the potential to ameliorate this. There have however been reported challenges with implementation of such initiatives, which may be strengthened by incorporating implementation science methods. METHODS: This pilot randomised controlled trial protocol outlines the development and proposed evaluation of a multicomponent implementation strategy (Action-RESPOND). to increase the implementation of community-based systems thinking child obesity prevention initiatives The target of this intervention is ten rural and regional communities (or local government areas as the unit of allocation) within Northeast Victoria who were participants in a whole-of-systems intervention (RESPOND). Action-RESPOND builds on this intervention by assessing the impact of offering additional implementation strategies to five communities relative to usual care. The development of the multicomponent implementation strategy was informed by the Promoting Action on Research Implementation in Health Services (PARIHS) framework and consists of seven implementation strategies primarily delivered via 'facilitation' methods. Implementation strategies aimed to ensure initiatives implemented are i) evidence-based, ii) address community's specific needs and iii) are suitable for local context. Strategies also aimed to increase the community's capacity to implement, through iv) improving the health promotion team's implementation knowledge and skills, fostering v) leadership, vi) physical resources and vii) community culture to drive implementation. The feasibility, acceptability, potential impact, and cost of the strategy will be assessed at baseline and follow up using surveys administered to key representatives within the community and internal records maintained by the research team. DISCUSSION: By leveraging an existing community-based whole-of-systems intervention, Action-RESPOND offers a unique opportunity to collect pilot feasibility and early empirical data on how to apply implementation and systems science approaches to support obesity prevention in rural and regional communities in Victoria.

Supporting the next generation of prevention research leaders to conduct effective research-policy partnerships.

Successful research-policy partnerships rely on shared vision, dedicated investment, and mutual benefits. To ensure the ongoing value of chronic disease prevention research, and support research translation and impact, Australia needs funding, university, and policy systems that incentivise and support emerging leaders to drive effective partnerships.

How much is invested in obesity prevention in Australia? An analysis of major research and Federal Government funding, 2013-2022.

Objective and importance of study: Overweight and obesity are the second leading risk factors for death and non-communicable disease in Australia. This study aimed to examine the Australian Federal Government funding landscape for population-level obesity prevention from 2013 to 2022. STUDY TYPE: A retrospective analysis and narrative synthesis of publicly available data on obesity prevention funding from the Federal Government and major federally funded Australian research organisations. METHODS: Searches were conducted of Australian Federal Government Budget documents and funding announcements from the National Health and Medical Research Council (NHMRC), Australian Research Council (ARC) and Medical Research Future Fund (MRFF). Funding allocations targeting obesity prevention, or the prevention of risk factors associated with obesity, were included. These were determined by the presence of keywords related to obesity, unhealthy diet, physical activity and sedentary behaviour. Data were extracted verbatim, coded and narratively synthesised by funding source. RESULTS: From 2013 to 2022, 186 funding allocations for obesity prevention in Australia were identified, totalling approximately A$778 million. The proportion of funding allocated to obesity prevention compared to the total annual budget of each funding source was relatively low: NHMRC = 1.1%; ARC = 0.2%; MRFF = 0.8%; Federal Government = 0.1% (of health budget). Funding for obesity prevention initiatives fluctuated over time. CONCLUSIONS: Findings underscore the need for strategic and ongoing funding allocation to support obesity prevention research, implementation and sustainment of evidence-based obesity prevention initiatives in Australia.

Collaborating with end-users in evidence synthesis: case studies for prevention in the first 2000 days.

BACKGROUND: Evidence synthesis is an important tool to inform decision-making in public health policy and practice. Collaborative approaches to evidence synthesis involving researchers and the end-users of their research can enhance the relevance of the evidence for policy and practice and overcome the limitations of traditional evidence synthesis methods. Despite its benefits, collaboration is not consistently integrated into evidence-synthesis methods. Type of program or service: Collaborative evidence synthesis for public health policy and practice. METHODS: Reflecting on our experiences of undertaking collaborative evidence syntheses with end-users to inform policy and practice around preventive health in the first 2000 days of life, we have collated our key learnings to inform future collaborations in public health research. RESULTS: Key themes generated from our reflections were: 1) establish genuine partnerships early on with stakeholders, leveraging existing trusted relationships; 2) identify common goals; 3) prioritise evidence synthesis aims and objectives to ensure they are policy and practice relevant; and 4) maintain transparent, two-way communication. LESSONS LEARNT: Collaboration involving researchers and end-users enhances knowledge synthesis methodologies, increases relevance and accessibility of the evidence for end-users, and strengthens research-policy relationships.

Model-Based Economic Evaluations of Interventions for Dementia: An Updated Systematic Review and Quality Assessment.

BACKGROUND: There has been an increase in model-based economic evaluations of interventions for dementia. The most recent systematic review of economic evaluations for dementia highlighted weaknesses in studies, including lack of justification for model assumptions and data inputs. OBJECTIVE: This study aimed to update the last published systematic review of model-based economic evaluations of interventions for dementia, including Alzheimer's disease, with a focus on any methodological improvements and quality assessment of the studies. METHODS: Systematic searches in eight databases, including PubMed, Cochrane, Embase, CINAHL, PsycINFO, EconLit, international HTA database, and the Tufts Cost-Effectiveness Analysis Registry were undertaken from February 2018 until August 2022. The quality of the included studies was assessed using the Philips checklist and the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) 2022 checklist. The findings were summarized through narrative analysis. RESULTS: This review included 23 studies, comprising cost-utility analyses (87%), cost-benefit analyses (9%) and cost-effectiveness analyses (4%). The studies covered various interventions, including pharmacological (n = 10, 43%), non-pharmacological (n = 4, 17%), prevention (n = 4, 17%), diagnostic (n = 4, 17%) and integrated (n = 1, 4%) [diagnostics-pharmacologic] strategies. Markov transition models were commonly employed (65%), followed by decision trees (13%) and discrete-event simulation (9%). Several interventions from all categories were reported as being cost effective. The quality of reporting was suboptimal for the Methods and Results sections in almost all studies, although the majority of studies adequately addressed the decision problem, scope, and model-type selection in their economic evaluations. Regarding the quality of methodology, only a minority of studies addressed competing theories or clearly explained the rationale for model structure. Furthermore, few studies systematically identified key parameters or assessed data quality, and uncertainty was mostly addressed partially. CONCLUSIONS: This review informs future research and resource allocation by providing insights into model-based economic evaluations for dementia interventions and highlighting areas for improvement.

The range of outcomes and outcome measurement instruments collected in multisectoral community-based obesity prevention interventions in children: A systematic review.

Multicomponent and multisectoral community-based interventions (CBIs) have proven potential in preventing overweight and obesity in children. Synthesizing evidence on the outcomes collected and reported in such CBIs is critical for the evidence of effectiveness and cost-effectiveness. This systematic review aimed to identify the range of outcomes and outcome measurement instruments collected and reported in multisectoral and multicomponent CBIs for obesity prevention in children. A systematic search updated an existing review and extended the search to 11 academic databases (2017-2023) and gray literature. Outcomes were classified into outcome domains, and common measurement instruments were summarized. Seventeen outcome domains from 140 unique outcomes were identified from 45 included interventions reported in 120 studies. The most frequently collected outcome domains included anthropometry and body composition (91% of included interventions), physical activity (84%), dietary intake (71%), environmental (71%), and sedentary behavior (62%). The most frequently collected outcomes from each of these domains included body mass index (89%), physical activity (73%), fruit and vegetable intake (58%), school environment (42%), and screen time (58%). Outcome measurement instruments varied, particularly for behavioral outcomes. Standardization of reported outcomes and measurement instruments is recommended to facilitate data harmonization and support quantifying broader benefits of CBIs for obesity prevention.

Cost-effectiveness of reducing children's sedentary time and increasing physical activity at school: the Transform-Us! intervention.

BACKGROUND: Improving physical activity and reducing sedentary behavior represent important areas for intervention in childhood in order to reduce the burden of chronic disease related to obesity and physical inactivity in later life. This paper aims to determine the cost-effectiveness of a multi-arm primary school-based intervention to increase physical activity and/or reduce sedentary time in 8-9 year old children (Transform-Us!). METHODS: Modelled cost-utility analysis, using costs and effects from a cluster randomized controlled trial of a 30-month intervention that used pedagogical and environmental strategies to reduce and break up sedentary behaviour (SB-I), promote physical activity (PA-I), or a combined approach (PA + SB-I), compared to current practice. A validated multiple-cohort lifetable model (ACE-Obesity Policy model) estimated the obesity and physical activity-related health outcomes (measured as change in body mass index and change in metabolic equivalent task minutes respectively) and healthcare cost-savings over the cohort's lifetime from the public-payer perspective, assuming the intervention was delivered to all 8-9 year old children attending Australian Government primary schools. Sensitivity analyses tested the impact on cost-effectiveness of varying key input parameters, including maintenance of intervention effect assumptions. RESULTS: Cost-effectiveness results demonstrated that, when compared to control schools, the PA-I and SB-I intervention arms were "dominant", meaning that they resulted in net health benefits and healthcare cost-savings if the intervention effects were maintained. When the costs and effects of these intervention arms were extrapolated to the Australian population, results suggested significant potential as obesity prevention measures (PA-I: 60,780 HALYs saved (95% UI 15,007-109,413), healthcare cost-savings AUD641M (95% UI AUD165M-$1.1B); SB-I: 61,126 HALYs saved (95% UI 11,770 - 111,249), healthcare cost-savings AUD654M (95% UI AUD126M-1.2B)). The PA-I and SB-I interventions remained cost-effective in sensitivity analysis, assuming the full decay of intervention effect after 10 years. CONCLUSIONS: The PA-I and SB-I Transform-Us! intervention arms represent good value for money and could lead to health benefits and healthcare cost-savings arising from the prevention of chronic disease in later life if intervention effects are sustained. TRIAL REGISTRATION: International Standard Randomized Controlled Trial Number (ISRCTN83725066). Australia and New Zealand Clinical Trials Registry Number (ACTRN12609000715279).

What Interventions are Cost Effective in Reducing Violence Against Women? A Scoping Review.

PURPOSE: To systematically summarise the recent literature on the cost and cost effectiveness of interventions implemented to reduce violence against women (VAW) and decision frameworks guiding resource allocation. METHOD: A scoping review of scholarly and grey literature on the cost-effectiveness and/or resource allocation for interventions addressing intimate partner violence (IPV), dating violence and non-partner sexual violence perpetrated against women aged 15 years and over. All settings and contexts were eligible, with papers published in English between 2010 and March 2023 included. RESULTS: Nineteen papers fulfilled the inclusion criteria reporting the cost, cost savings and/or cost effectiveness of 24 interventions to prevent IPV and to a lesser extent, other forms of interpersonal violence. Among the 16 economic evaluation studies reviewed, four types of interventions were cost effective in multiple settings or studies, including community activism (Uganda, Ghana), gender transformative interventions with couples and individuals (Ethiopia, Rwanda), specific justice and law enforcement measures (USA) and a combined personnel training, support, and referral programme in General Practice in the UK. Other interventions were cost effective in a single study or had conflicting evidence. Three remaining papers conducted a partial evaluation or cost appraisal providing limited information on the cost or cost-savings of other implemented interventions. No frameworks on resource allocation for the prevention of VAW were identified. CONCLUSION: While there is some evidence of cost effectiveness emerging for interventions implemented in specific contexts, overall, we find the recent evidence on costs and cost effectiveness of interventions for the prevention of VAW to be limited. Embedding economic evaluation in future effectiveness trials will build critical evidence needed to inform policy and resource allocation decisions based on the value-for-money of interventions. Modelling the benefits and costs of interventions to better understand the societal impacts of programmes at scale is a further research opportunity.

Spillover effects of childhood obesity prevention interventions: A systematic review.

BACKGROUND: Childhood obesity prevention initiatives are complex interventions that aim to improve children's obesity-related behaviors and provide health promoting environments. These interventions often impact individuals, communities, and outcomes not primarily targeted by the intervention or policy. To accurately capture the effectiveness and cost-effectiveness of childhood obesity prevention interventions, an understanding of the broader impacts (or spillover effects) is required. This systematic review aims to assess the spillover effects of childhood obesity prevention interventions. METHODS: Six academic databases and two trial registries were searched (2007-2023) to identify studies reporting quantifiable obesity-related and other outcomes in individuals or communities not primarily targeted by an obesity prevention intervention. Critical appraisal was undertaken for studies that reported statistically significant findings, and a narrative synthesis of the data was undertaken. RESULTS: Twenty academic studies and 41 trial records were included in the synthesis. The most commonly reported spillovers were diet or nutrition-related, followed by BMI and physical activity/sedentary behavior. Spillovers were mostly reported in parents/caregivers followed by other family members. Nine of the 20 academic studies reported statistically significant spillover effects. CONCLUSION: Limited evidence indicates that positive spillover effects of childhood obesity prevention interventions can be observed in parents/caregivers and families of targeted participants.

A systematic review of economic evidence for community-based obesity prevention interventions in children.

Multicomponent community-based obesity prevention interventions that engage multiple sectors have shown promise in preventing obesity in childhood; however, economic evaluations of such interventions are limited. This systematic review explores the methods used and summarizes current evidence of costs and cost-effectiveness of complex obesity prevention interventions. A systematic search was conducted using 12 academic databases and grey literature from 2006 to April 2022. Studies were included if they reported methods of costing and/or economic evaluation of multicomponent, multisectoral, and community-wide obesity prevention interventions. Results were reported narratively based on the Consolidated Health Economic Evaluation Reporting Standards. Seventeen studies were included, reporting costing or economic evaluation of 13 different interventions. Five interventions reported full economic evaluations, five interventions reported economic evaluation protocols, two interventions reported cost analysis, and one intervention reported a costing protocol. Five studies conducted cost-utility analysis, three of which were cost-effective. One study reported a cost-saving return-on-investment ratio. The economic evidence for complex obesity prevention interventions is limited and therefore inconclusive. Challenges include accurate tracking of costs for interventions with multiple actors, and the limited incorporation of broader benefits into economic evaluation. Further methodological development is needed to find appropriate pragmatic methods to evaluate complex obesity prevention interventions.

Longitudinal relationships between sub-clinical depression, sub-clinical eating disorders and health-related quality of life in early adolescence.

OBJECTIVE: A comprehensive understanding of the relationship between depressive symptoms and eating disorder (ED) symptoms requires consideration of additional variables that may influence this relationship. Health-related quality of life (HRQOL) has been associated with both depression and EDs; however, there is limited evidence to demonstrate how all three variables interact over time. This study sought to explore the bi-directional relationships between depressive symptoms, ED symptoms and HRQOL in a large community sample of young adolescents METHOD: Adolescents (N = 1393) aged between 11 and 14 years (M = 12.50, SD = 0.38) completed an online survey measuring depressive symptoms, ED symptoms and HRQOL. Two-level autoregressive cross-lagged models with three variables (i.e., depressive symptoms, HRQOL and ED) assessed across two time points (T1 and T2) were created to address the study aims. RESULTS: HRQOL was found to predict depressive symptoms and depressive symptoms were found to predict ED symptoms. Components of HRQOL (i.e., social relationships and ability to cope) were found to share a differential relationship with depressive symptoms. Inability to cope predicted depressive symptoms and depressive symptoms predicted negative social relationships. EDs were found to predict reduced HRQOL and negative social relationships. DISCUSSION: Findings suggest prevention and early intervention programs designed to address adolescent depression should focus on improving HRQOL. Future research should assess the relationship between HRQOL and individual ED symptoms (e.g., body-related ED symptoms, restrictive symptoms) as a means of exploring relationships that may have been masked by assessing ED symptoms using a total score. PUBLIC SIGNIFICANCE: This study sought to explore how eating disorders, depressive symptoms, and health-related quality of life (HRQOL) relate over time in a sample of young adolescents. Findings indicate adolescents who self-reported lower levels of HRQOL, including a reduced ability to cope, are at risk of experiencing depressive symptoms. Adolescents should be provided with the tools to develop problem-focused coping strategies as a means of reducing depressive symptoms.

Transform-Us! cluster RCT: 18-month and 30-month effects on children's physical activity, sedentary time and cardiometabolic risk markers.

OBJECTIVE: To test the efficacy of the Transform-Us! school- and home-based intervention on children's physical activity (PA), sedentary behaviour (SB) and cardiometabolic risk factor profiles. METHODS: A 30-month 2×2 factorial design cluster randomised controlled trial delivered in 20 primary schools (148 Year 3 classes) in Melbourne, Australia (2010-2012), that used pedagogical and environmental strategies to reduce and break up SB, promote PA or a combined approach, compared with usual practice. Primary outcomes (accelerometry data; n=348) were assessed at baseline, 18 and 30 months. Secondary outcomes included body mass index (BMI) and waist circumference (WC) (n=564), blood pressure (BP) (n=537) and biomarkers (minimum n=206). Generalised linear mixed models estimated the interactive effects of the PA and SB interventions on the outcomes. If there was no interaction, the main effects were assessed. RESULTS: At 18 months, there were intervention effects on children's weekday SB (-27 min, 95% CI: -47.3 to -5.3) for the PA intervention, and on children's average day PA (5.5 min, 95% CI: 0.1 to 10.8) for the SB intervention. At 30 months, there was an intervention effect for children's average day SB (-33.3 min, 95% CI: -50.6 and -16.0) for the SB intervention. Children's BMI (PA and SB groups) and systolic BP (combined group) were lower, and diastolic BP (PA group) was higher. There were positive effects on WC at both time points (SB intervention) and mixed effects on blood parameters. CONCLUSIONS: The Transform-Us! PA and SB interventions show promise as a pragmatic approach for reducing children's SB and adiposity indicators; but achieving substantial increases in PA remains challenging. TRIAL REGISTRATION: ISRCTN83725066; ACTRN12609000715279.

Development of a checklist of standard items for processing individual participant data from randomised trials for meta-analyses: Protocol for a modified e-Delphi study.

Individual participant data meta-analyses enable detailed checking of data quality and more complex analyses than standard study-level synthesis of summary data based on publications. However, there is limited existing guidance on the specific systematic checks that should be undertaken to confirm and enhance data quality for individual participant data meta-analyses and how to conduct these checks. We aim to address this gap by developing a checklist of items for data quality checking and cleaning to be applied to individual participant data meta-analyses of randomised trials. This study will comprise three phases: 1) a scoping review to identify potential checklist items; 2) two e-Delphi survey rounds among an invited panel of experts followed by a consensus meeting; and 3) pilot testing and refinement of the checklist, including development of an accompanying R-markdown program to facilitate its uptake.

Core outcome set for early intervention trials to prevent obesity in childhood (COS-EPOCH): Agreement on "what" to measure.

BACKGROUND: Heterogeneity in the outcomes collected and reported in trials of interventions to prevent obesity in the first five years of life highlights the need for a core outcome set to streamline intervention evaluation and synthesis of effects. This study aimed to develop a core outcome set for use in early childhood obesity prevention intervention studies in children from birth to five years of age (COS-EPOCH). METHODS: The development of the core outcome set followed published guidelines and consisted of three stages: (1) systematic scoping review of outcomes collected and reported in early childhood obesity prevention trials; (2) e-Delphi study with stakeholders to prioritise outcomes; (3) meeting with stakeholders to reach consensus on outcomes. Stakeholders included parents/caregivers of children aged ≤ five years, policy-makers/funders, researchers, health professionals, and community and organisational stakeholders interested in obesity prevention interventions. RESULTS: Twenty-two outcomes from nine outcome domains (anthropometry, dietary intake, sedentary behaviour, physical activity, sleep, outcomes in parents/caregivers, environmental, emotional/cognitive functioning, economics) were included in the core outcome set: infant tummy time; child diet quality, dietary intake, fruit and vegetable intake, non-core food intake, non-core beverage intake, meal patterns, weight-based anthropometry, screentime, time spent sedentary, physical activity, sleep duration, wellbeing; parent/caregiver physical activity, sleep and nutrition parenting practices; food environment, sedentary behaviour or physical activity home environment, family meal environment, early childhood education and care environment, household food security; economic evaluation. CONCLUSIONS: The systematic stakeholder-informed study identified the minimum outcomes recommended for collection and reporting in early childhood obesity prevention trials. Future work will investigate the recommended instruments to measure each of these outcomes. The core outcome set will standardise guidance on the measurement and reporting of outcomes from early childhood obesity prevention interventions, to better facilitate evidence comparison and synthesis, and maximise the value of data collected across studies.

Exploring the economics of public health intervention scale-up: a case study of the Supporting Healthy Image, Nutrition and Exercise (SHINE) cluster randomised controlled trial.

BACKGROUND: The costs and benefits of an intervention within the intervention testing phase may differ from those experienced when that intervention is implemented and delivered at scale. Yet limited empirical work has been undertaken to explore how economic constructs related to implementation and scale-up might have an impact on intervention cost. The aim of this study was to explore the potential economic impacts of implementation and scale-up on a healthy weight and body image intervention tested in a Type II translational research trial. METHODS: The Supporting Healthy Image, Nutrition and Exercise (SHINE) study is a cluster randomised controlled trial, aiming to deliver universal education about healthy nutrition, physical activity and wellbeing behaviours to adolescents in Australian secondary schools. Data on the cost of the intervention were collected alongside the trial using standard micro-costing techniques. Semi-structured interviews were conducted with key intervention stakeholders to explore the potential economic impacts of implementation and scale-up. Thematic content analysis was undertaken by two authors. RESULTS: Fifteen intervention group schools participated in the 8-week online intervention targeting students in 2019 (99 Grade 7 classes; 2,240 students). Booster sessions were delivered during one class session in Grades 8 and 9, in 2020 and 2021 respectively. Time costs of intervention delivery and co-ordination comprised the majority (90%) of intervention cost as per the trial, along with costs associated with travel for intervention training and equipment. Themes related to the benefit of the intervention emerged from interviews with six intervention stakeholders, including the potential for economies of scale afforded by online delivery. Contextual themes that may have an impact on intervention implementation and scale included acceptability across all school sectors, availability and reliability of IT infrastructure for intervention delivery and variations in population characteristics. A number of key alterations to the intervention program emerged as important in supporting and sustaining intervention scale-up. In addition, significant implementation costs were identified if the intervention was to be successfully implemented at scale. CONCLUSIONS: The findings from this study provide important information relevant to decisions on progression to a Type III implementation trial, including budget allocation, and will inform modelled economic evaluation.

Bi-directional associations between depressive symptoms and eating disorder symptoms in early adolescence.

Despite frequently co-occurring, the temporal relationship between depression and eating disorder symptoms remains poorly understood. This exploratory study sought to investigate the reciprocal relationship between depressive symptoms and (1) shape and weight dissatisfaction, (2) shape and weight overvaluation, (3) preoccupation with shape or weight, (4) preoccupation with food, (5) dietary restraint and (6) binge eating in early adolescence. Adolescents (N = 1393) aged between 11.4 and 13.9 years (M = 12.50, SD = 0.38) completed the Centre for Epidemiological Depression Scale-Revised and Eating Disorder Examination Questionnaire-Adolescent version at the beginning of secondary school (T1) and 12-months later (T2). Cross-lagged models were created to assess the reciprocal relationship between depressive symptoms and ED symptoms. Depressive symptoms at T1 predicted shape and weight dissatisfaction, shape and weight overvaluation, preoccupation with shape or weight, preoccupation with food, dietary restraint and binge eating at T2. Shape and weight dissatisfaction and binge eating were the only ED symptoms at T1 to predict depressive symptoms at T2. Findings suggest young adolescents who experience depressive symptoms in their first year of secondary school are at-risk of developing ED symptoms over the subsequent 12-month period.

Cost-effectiveness of scaling up a whole-of-community intervention: The Romp & Chomp early childhood obesity prevention intervention.

BACKGROUND: Given the high prevalence of early childhood overweight and obesity, more evidence is required to better understand the cost-effectiveness of community-wide interventions targeting obesity prevention in children aged 0-5 years. OBJECTIVES: To assess the cost-effectiveness of the Romp & Chomp community-wide early childhood obesity prevention intervention if delivered across Australia in 2018 from a funder perspective, against a no-intervention comparator. METHODS: Intervention costs were estimated in 2018 Australian dollars. The annual Early Prevention of Obesity in Childhood micro-simulation model estimated body mass index (BMI) trajectories to age 15 years, based on end of trial data at age 3.5 years. Results from modelled cost-effectiveness analyses were presented as incremental cost-effectiveness ratios (ICERs): cost per BMI unit avoided, and cost per quality-adjusted life year (QALY) gained at age 15 years. RESULTS: All Australian children aged 0-5 years (n = 1 906 075) would receive the intervention. Total estimated intervention cost and annual cost per participant were AUD178 million and AUD93, respectively, if implemented nationally. The ICERs were AUD1 126 per BMI unit avoided and AUD26 399 per QALY gained (64% probability of being cost-effective measured against a AUD50 000 per QALY threshold). CONCLUSIONS: Romp & Chomp has a fair probability of being cost-effective if delivered at scale.

A scoping review of outcomes commonly reported in obesity prevention interventions aiming to improve obesity-related health behaviors in children to age 5 years.

This scoping review was undertaken as the first stage of development of the Core Outcome Sets for Early Prevention of Obesity in CHildhood (COS-EPOCH). The aim of this review is to identify the outcomes collected and reported in randomized controlled trials of early childhood obesity prevention interventions. A systematic scoping review was undertaken following published guidelines. Trial registries and Medline were searched, and records retrieved were screened by two reviewers. Included trials aimed to prevent childhood obesity in the first 5 years of life and were randomized. Data were extracted using a standardized form. Outcomes were assigned to outcome domains, and similar definitions within each domain were merged, based on key literature and expert consensus. Outcome and domain frequencies were estimated and presented in outcome matrices. Eighteen outcome domains were identified from 161 included studies: "anthropometry," "dietary intake," "physical activity," "sedentary behaviour," "emotional functioning/wellbeing," "feeding," "cognitive/executive functioning," "sleep," "other," "study-related," "parenting practices," "motor skill development," "environmental," "blood and lymphatic system," "perceptions and preferences," "quality of life," and "economic," "oral health." The most frequently reported outcome domain was anthropometry (92% of studies), followed by dietary intake (77%) and physical activity (60%). 221 unique outcomes were identified, indicating a high degree of heterogeneity. Body mass index was the only outcome reported in >50% of studies. The considerable heterogeneity in outcomes supports the need for the development of COS-EPOCH.