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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.

Abstract Objective: To explore the differences in social norms around parents’ food provision in different provision contexts and by demographics. Design: Qualitative study using story completion methodology via an online survey in September 2021. Adults 18+ with or without children were randomised to one of three story stems focusing on food provision in different contexts; food provision at home (non-visitor), with visitors present and with the involvement of sport. Stories were coded and themed using thematic analysis. A content analysis was performed to determine count and frequency of codes in stories by participant demographics and story assumptions. Setting: Australia. Participants: Adults (n 196). Results: Nine themes were identified from the data resulting in four social norms around providing healthy foods and justifying non-adherence to healthy eating guidelines, evolution of family life and mealtime values, the presence of others influencing how we engage with food provision and unhealthy foods used as incentives/rewards in sport. Following content analysis, no differences of themes or norms by participant demographics or story assumptions were found. Conclusions: We identified pervasive social norms around family food provision and further identified how contextual factors resulted in variations or distinct norms. This highlights the impact context may have on the social norms parents face when providing food to their children and the opportunities and risks of leveraging these social norms to influence food choice in these contexts. Public health interventions and practitioners should understand the influence of context and social environments when promoting behaviour change and providing individualised advice. Future research could explore parents’ experiences of these norms and to what extent they impact food choice.

Abstract Objective: To determine the reach, adoption, implementation and effectiveness of an intervention to increase children’s vegetable intake in long day care (LDC). Design: A 12-week pragmatic cluster randomised controlled trial, informed by the multiphase optimisation strategy (MOST), targeting the mealtime environment and curriculum. Children’s vegetable intake and variety was measured at follow-up using a modified Short Food Survey for early childhood education and care and analysed using a two-part mixed model for non-vegetable and vegetable consumers. Outcome measures were based on the RE-AIM framework. Setting: Australian LDC centres. Participants: Thirty-nine centres, 120 educators and 719 children at follow-up. Results: There was no difference between intervention and waitlist control groups in the likelihood of consuming any vegetables when compared with non-vegetable consumers for intake (OR = 0·70, (95 % CI 0·34–1·43), P = 0·32) or variety (OR = 0·73 (95 % CI 0·40–1·32), P = 0·29). Among vegetable consumers (n 652), there was no difference between groups in vegetable variety (exp(b): 1·07 (95 % CI:0·88–1·32, P = 0·49) or vegetable intake (exp(b): 1·06 (95 % CI: 0·78, 1·43)), P = 0·71) with an average of 1·51 (95 % CI 1·20–1·82) and 1·40 (95 % CI 1·08–1·72) serves of vegetables per day in the intervention and control group, respectively. Intervention educators reported higher skills for promoting vegetables at mealtimes, and knowledge and skills for teaching the curriculum, than control (all P < 0·001). Intervention fidelity was moderate (n 16/20 and n 15/16 centres used the Mealtime environment and Curriculum, respectively) with good acceptability among educators. The intervention reached 307/8556 centres nationally and was adopted by 22 % eligible centres. Conclusions: The pragmatic self-delivered online intervention positively impacted educator’s knowledge and skills and was considered acceptable and feasible. Intervention adaptations, using the MOST cyclic approach, could improve intervention impact on children’ vegetable intake.

Abstract Objective: This study aimed to examine the theoretical potential of meal kit subscription services in Australia to promote parental food literacy using the retrospective application of behaviour change frameworks. Design: A one-week subscription was purchased for all Australian-based meal kit subscription services (n 9) to access content and features available to subscribers. Behaviour change techniques (BCTs) identified in the subscription and meal planning features, meal kit delivery (i.e. ingredients and recipes) and website were coded using the behaviour change technique taxonomy (BCTTv1) and associated behaviour change frameworks. Identified BCTs were mapped to the theoretical domains framework to identify potential mechanisms of action for influencing parental food literacy development. Setting: Australia. Results: Thirty-five BCTs were identified across the nine meal kit services reviewed, ranging from nineteen to twenty-nine BCTs per company. Sixteen BCTs were common to all meal kits services, from the hierarchical clusters of ‘goals and planning’, ‘shaping knowledge’, ‘social support’, ‘natural consequences’, ‘comparison of behaviour’, ‘repetitions and substitution’, ‘associations’, ‘reward and threat’, ‘antecedents’ and ‘regulation’. Across the meal kit services, the most frequently identified mechanisms of action were motivation (n 27) and capability (n 19). Conclusion: These findings support the applicability of behaviour change frameworks to commercial meal kit subscription services and provide a theory-informed process for identifying BCTs that may be relevant for promoting parental food literacy within this context. Further research is required to explore how families engage with meal kit subscription services to determine the exposure and delivery of identified BCT content and to evaluate the potential influence on food literacy development.

The Eating Disorders In weight-related Therapy (EDIT) Collaboration brings together data from randomised controlled trials of behavioural weight management interventions to identify individual participant risk factors and intervention strategies that contribute to eating disorder risk. We present a protocol for a systematic review and individual participant data (IPD) meta-analysis which aims to identify participants at risk of developing eating disorders, or related symptoms, during or after weight management interventions conducted in adolescents or adults with overweight or obesity. We systematically searched four databases up to March 2022 and clinical trials registries to May 2022 to identify randomised controlled trials of weight management interventions conducted in adolescents or adults with overweight or obesity that measured eating disorder risk at pre- and post-intervention or follow-up. Authors from eligible trials have been invited to share their deidentified IPD. Two IPD meta-analyses will be conducted. The first IPD meta-analysis aims to examine participant level factors associated with a change in eating disorder scores during and following a weight management intervention. To do this we will examine baseline variables that predict change in eating disorder risk within intervention arms. The second IPD meta-analysis aims to assess whether there are participant level factors that predict whether participation in an intervention is more or less likely than no intervention to lead to a change in eating disorder risk. To do this, we will examine if there are differences in predictors of eating disorder risk between intervention and no-treatment control arms. The primary outcome will be a standardised mean difference in global eating disorder score from baseline to immediately post-intervention and at 6- and 12- months follow-up. Identifying participant level risk factors predicting eating disorder risk will inform screening and monitoring protocols to allow early identification and intervention for those at risk.

IntroductionEarly life parent-focused interventions can effectively improve infant and child nutrition and movement (physical activity and sedentary behavior) as well as parents' health behaviors. Scale-up of such interventions to real-world settings is essential for population-wide benefits. When progressing to scale-up, intervention components may be modified to reflect contextual factors and promote feasibility of scale-up. The INFANT program, an efficacious early life nutrition and movement behavioral intervention began as a randomized controlled trial (RCT), was modified after a small-scale translation, and is currently being scaled-up in Victoria, Australia. This study mapped and compared discrete intervention components of both the original RCT and the scaled-up version of INFANT to examine modifications for scaling up.MethodsDiscrete intervention components, specifically the target behaviors (child-related and parent-related behaviors), delivery features and behavior change techniques (BCTs) from the RCT and the scaled-up program were coded and mapped using established frameworks and taxonomies. Publications and unpublished materials (e.g., facilitator notes, handouts, videos, app) were coded. Coding was performed independently in duplicate, with final coding validated in a meeting with interventionists. Interventionists reported the rationale for modifications made.ResultsThe INFANT RCT and scaled-up version targeted the same obesity prevention-related nutrition and movement behaviors. Key modified delivery features at scale-up included reduced number of sessions, a broader range of professionals facilitating groups, the addition of a mobile app for parents replacing hard-copy materials and tangible tools (e.g., pedometers), and broadening of content (e.g., early feeding, updated 24-h movement guidelines). BCTs used across the RCT and scale-up sessions were unchanged. However, the BCTs identified in the between-session support materials were almost double for the scale-up compared with the RCT, primarily due to the reduced number of sessions and the app's capacity to include more content.ConclusionsINFANT is one of few early life nutrition and movement behavioral interventions being delivered at scale. With INFANT as an example, this study provides critical understanding about what and why intervention components were altered as the RCT was scaled-up. Unpacking these intervention modifications provides important insights for scale-up feasibility, outcome effects, and how to optimize implementation strategies for population-level benefits.

Abstract Background Early childhood is a critical window for preventing obesity and chronic disease. Yet, 1 in 4 Australian children aged 5 years and under are affected by overweight or obesity; and significant proportions of children under 5 years fail to meet guidelines for diet quality, physical activity (PA), screen time, and sleep. Consequently, effective interventions to promote healthy lifestyle behaviors and prevent obesity during early childhood are needed. Community playgroups provide an opportunity for parents, carers, and children to meet in a safe and relaxed environment to play and share information. The structure, low cost and reach of playgroups provide a unique platform to engage parents in a scalable program to promote healthful lifestyle behaviors and prevent childhood obesity. However, the evidence base for the effectiveness of health promotion programs delivered in community playgroup settings is limited and lacking credible evidence from rigorously conducted randomized controlled trials. Methods The Healthy Conversations @ Playgroup randomized controlled trial (RCT) aims to address the underlying behavioral risk factors for obesity by helping parents take effective steps to improve their child’s dietary, PA, screen time, and sleep behaviors. The intervention program comprises 10 “healthy conversations” led by a trained peer facilitator, designed to increase parents’ behavioral capability and self-efficacy to implement autonomy-supportive parenting practices. The program will be delivered biweekly during regularly scheduled playgroup sessions over 10-weeks. Effectiveness will be tested in a 2-arm cluster RCT involving 60 community playgroups in three states across Australia. After baseline assessments, participating playgroups will be randomly allocated to either intervention or wait-list control conditions. Primary outcomes (vegetable intake, discretionary foods, daily PA, screen time, sleep duration, and body mass index [BMI] z-score) will be assessed at baseline, immediately post-intervention (10-weeks; T2) and 6-months post-intervention (T3). Outcomes will be assessed for differential change at T2 and T3. Discussion The Healthy Conversations @ Playgroup trial will rigorously evaluate a novel peer-led intervention program to promote healthful lifestyle behaviors and prevent obesity in children and families attending community playgroups. If effective, the program could be immediately scaled-up and delivered in community playgroups across Australia. Trial registration Trial registered 22nd January 2021 with the Australian and New Zealand Clinical Trials Registry ( ACTRN12621000055808 ).

Behaviour change technique (BCT) taxonomies provide one approach to unpack the complexity of childhood obesity prevention interventions. This scoping review sought to examine how BCT taxonomies have been applied to understand childhood obesity prevention interventions targeting children aged 12 years or under and/or their caregivers. A systematic search was conducted in Medline, Embase, PsycINFO, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, CINAHL and PROSPERO, to capture all eligible research up to February 2021. No limits were placed on country, language, publication dates, or full text availability. Eligible studies included any study design that applied a BCT taxonomy and evaluated behavioural childhood obesity prevention interventions targeting children aged 12 years or under and/or their parents or caregivers. Sixty-three records, describing 54 discrete studies were included; 32 applied a BCT taxonomy prospectively (i.e., to design interventions) and 23 retrospectively (i.e., to assess interventions), 1 study did both. There was substantial variation in the methods used to apply BCT taxonomies and to report BCT-related methods and results. There was a paucity of detail reported in how BCTs were selected in studies applying BCT taxonomies prospectively. Our review provides important insight into the application of BCT taxonomies in childhood obesity prevention and several ongoing challenges, pointing to the need for best practice reporting guidance.

Sales of plant-based ‘meat’ and ‘milk’—products that mimic the visual and functional characteristics of animal-source foods—have increased rapidly during the past decade and are predicted to continue to increase. As plant-based ‘meat’ and ‘milk’ are nutritionally dissimilar to the animal-source originals, this study aimed to estimate the nutritional implications for the Australian population of substituting ‘Easily Swappable’ animal-source meat and dairy milk with plant-based imitation products. Computer simulation modelling was undertaken using dietary intake data collected in 2011–12 from a nationally representative survey sample. Conservative and Accelerated dietary transition scenarios were modelled in which various amounts of dairy milk and animal-source meat were replaced with plant-based ‘milk’ and plant-based ‘meat’, for the entire population and for various sub-populations. The scenarios were based on sales reports and economic projections. Modelling revealed that the intake of nutrients already at risk of inadequate intake, such as iodine and vitamin B12 (particularly for females), zinc (particularly for males) and n-3 long-chain fatty acids (for adults), would likely be adversely impacted in an Accelerated scenario. In conclusion, widespread replacement of dairy milk and animal-source meat with plant-based ‘milk’ and ‘meat’ may increase the risk of nutritional inadequacies in the Australian population. Messages and policy actions promoting the transition to more environmentally sustainable diets should be designed to avoid such adverse nutritional impacts.

(1) Background: weight-management interventions vary in their delivery features and intervention strategies. We aimed to establish a protocol to identify these intervention components. (2) Methods: a framework was developed through literature searches and stakeholder consultation. Six studies were independently coded by two reviewers. Consensus included recording conflict resolutions and framework changes. (3) Results: more conflicts occurred for intervention strategies compared to delivery features; both required the updating of definitions. The average coding times were 78 min (SD: 48) for delivery features and 54 min (SD: 29) for intervention strategies. (4) Conclusions: this study developed a detailed framework and highlights the complexities in objectively mapping weight-management trials.

Abstract Background Snack eating occasions contribute approximately a third of children’s energy intake, with approximately half of all unhealthy foods consumed during snack times. Therefore, it is critical to understand the drivers of primary food providers’ snack provision. The study aims were to determine the relative importance of physical resources and social supports when primary food providers are choosing snacks to provide to their child, and to investigate how these attributes differ in social versus non-social occasions, and between subgroups of primary food providers based on socio-economic position. Methods Primary food providers of three to seven-year olds completed an online discrete choice experiment, by making trade-offs when completing repeated, hypothetical choice tasks on the choice of snacks to provide to their child in: 1) non-social and 2) social condition. Choice tasks included two alternatives consisting of varying attribute (i.e. factor) levels, and an opt-out option. The order of conditions shown were randomized across participants. Multinomial logit model analyses were used to determine utility weights for each attribute. Results Two-hundred and twenty-five primary food providers completed the study, providing 1125 choice decisions per condition. In the non-social condition, the top three ranked attributes were type of food (utility weight 1.94, p

This study aimed to understand clinician, researcher and consumer views regarding factors which influence eating disorder (ED) risk during behavioral weight management, including individual risk factors, intervention strategies and delivery features. Eighty-seven participants were recruited internationally through professional and consumer organizations and social media and completed an online survey. Individual characteristics, intervention strategies (5-point scale) and delivery features (important/unimportant/unsure) were rated. Participants were mostly women (n = 81), aged 35–49 y, from Australia or United States, were clinicians and/or reported lived experience of overweight/obesity and/or ED. There was agreement (64% to 99%) that individual characteristics were relevant to ED risk, with history of ED, weight-based teasing/stigma and weight bias internalization having the highest agreement. Intervention strategies most frequently rated as likely to increase ED risk included those with a focus on weight, prescription (structured diets, exercise plans) and monitoring strategies, e.g., calorie counting. Strategies most frequently rated as likely to decrease ED risk included having a health focus, flexibility and inclusion of psychosocial support. Delivery features considered most important were who delivered the intervention (profession, qualifications) and support (frequency, duration). Findings will inform future research to quantitatively assess which of these factors predict eating disorder risk, to inform screening and monitoring protocols.

Interventions are required to reduce children’s consumption of discretionary foods and drinks. To intervene we need to identify appropriate discretionary choice targets. This study aimed to determine the main discretionary choice contributors to energy and key nutrient intakes in children aged 2–18 years. Secondary analyses were performed with population weighted, single 24 h dietary recall data from the 2011–2012 National Nutrition and Physical Activity Survey. Cakes, muffins, and slices; sweet biscuits; potato crisps and similar snacks; and, processed meats and sugar-sweetened drinks were relatively commonly consumed and were within the top three to five contributors to per capita energy, saturated fat, sodium, and/or added sugars. Per consumer intake identified cereal-based takeaway foods; cakes, muffins and slices; meat pies and other savoury pastries; and, processed meats as top contributors to energy, saturated fat, and sodium across most age groups. Subgroups of sugar-sweetened drinks and cakes, muffins and slices were consistently key contributors to added sugars intake. This study identified optimal targets for interventions to reduce discretionary choices intake, likely to have the biggest impact on moderating energy intake while also reducing intakes of saturated fat, sodium and/or added sugars.

Abstract Background The early years is a critical stage to establish optimal nutrition and movement behaviours. Community playgroups are a relaxed environment for parents with a focus on social connection and supporting parents in their role as ‘First Teachers’. Playgroups are therefore an opportunistic setting to promote health behaviours in the early years. To support parents with young children around healthy lifestyle behaviours, the Healthy Conversations @ Playgroup program was delivered in urban and regional areas, across three Australian jurisdictions between 2021–2023. Objective This qualitative evaluation aimed to understand how the Healthy Conversations @ Playgroup program was experienced by parents, playgroup coordinators and peer facilitators. Design Semi-structured virtual interviews and focus groups were conducted with parents, playgroup coordinators (i.e., person responsible for coordinating the playgroup) and peer facilitators (i.e., trained facilitator for the program) that participated in the Healthy Conversations @ Playgroup study. Transcripts were analysed following a thematic analysis approach. Results Twenty-eight playgroup parents, coordinators or peer facilitators participated in one of 8 focus groups or 5 interviews. Four themes were developed: Program strengths and challenges; Setting strengths and challenges; Factors that impact program delivery; Participant’s suggestions for future program delivery. Conclusions The Healthy Conversations @ Playgroup program was valued by parents, providing validation and normalisation of parenting practices, and fostering a shared experience of parenting. Playgroups are a convenient setting for families to attend. The dynamic and distracting nature of the playgroup setting were carefully considered when designing the program. Strategies to further enhance program engagement could include use of coordinator or parent champions, tailored delivery, and extending the reach to other family members. Trial registration Australian New Zealand Clinical Trials Registry ACTRN12621000055808, registered 22 January 2021, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=380890

Introduction: Dietary guidelines worldwide emphasize the importance of consuming vegetables as part of a healthy diet. Despite this, translating this information into messages for consumers that change behavior has been difficult. There have been population-level social marketing campaigns as well as several smaller campaigns directed specifically toward children, which have demonstrated small increases in consumption. However, achieving meaningful and sustained increases in children's vegetable consumption remains a challenge. This article describes the process of synthesizing the published literature and translating these findings to inform the development of 7 best practice guidelines to increase children's vegetable intake. Methods: The first step in this process was a systematic review of scientific literature to identify the components of interventions that were associated with successfully increasing vegetable intake. The synthesis of effective intervention components was guided by the Behavior Change Wheel. These scientific findings were translated to guidelines for best practice. This process involved a team of nutrition and behavioral researchers and nutrition practitioners translating the science into actionable advice that could be adopted by a range of stakeholders. The 6 selected stakeholders included long daycare centers, after-hours school care providers, primary schools, industry groups and growers, researchers, and government policy makers. Stakeholders were involved in the development process through surveys and interviews to understand their requirements for resources to support adoption of the best practice guidelines within each setting and within the context of existing practice. Results: The guidelines center on coordination of effort, with a focus on components such as planning, environmental restructuring, barrier reduction, feedback, and monitoring. In consultation with key stakeholders, a range of resources were developed for each setting to support the implementation of best practice, with the aim of achieving meaningful increases in intake. The resources and tools have been made available at http://www.vegkit.com.au. Conclusions: The translation of knowledge into practice is not traditionally included as part of the research process. Therefore, combining the process of reviewing the science and translating the evidence to stakeholder resources to influence practice in 1 research study is novel, and the study could be used to guide future research translation activities within and beyond the field of public health nutrition.

Childhood obesity remains a major public health issue and priority area for action. Promisingly, obesity prevention interventions in the first 2000 days of life have shown modest effectiveness in improving health behaviours and healthy weight status in children. Yet, researchers in this field face several challenges. This can lead to research waste and impede progress towards delivering effective, scalable solutions. In this perspective article, we describe some of the key challenges in early childhood obesity prevention and outline innovative and collaborative solutions to overcome these. Combining these solutions will accelerate the generation of high-quality evidence that can be implemented into policy and practice.

Daily routines may influence children and adolescents’ eating patterns, however the influence of days of the week on dietary intake has rarely been explored. This study aimed to examine discretionary choices intake in the context of diet quality on weekdays versus weekends. A secondary analysis was conducted using the Australian National Nutrition and Physical Activity Survey 2011–2012. Differences in discretionary choices intake and diet quality on weekdays versus weekends, were examined using ANCOVA analyses. Associations between child and parent-proxy characteristics and weekday/weekend discretionary choices intake were examined using multivariable regression models. Primary analyses included 2584 Australian 2–17-year-olds. There were small differences in discretionary choices intake and diet quality between weekdays and weekends in all age subgroups. Compared to weekdays, intakes on weekends were characterized by a higher intake of discretionary choices, and lower total Dietary Guidelines Index for Children and Adolescents (DGI-CA) scores across the age subgroups (all p < 0.01). Parent-proxy discretionary choices intake and child age were predictors of weekday and weekend discretionary choices intake. Parent-proxy obesity weight status compared with healthy weight status was a predictor of weekend intake, while parent-proxy education level was a predictor of weekday discretionary choices intake. Future intervention strategies should target discretionary choices intake on both weekdays and weekends.

Parents are an ideal target to reduce children’s unhealthy food intake. Motivation is one component of behavior change; however, there is a paucity of research exploring parental motivation in unhealthy food provision. This study aimed to understand the relationships between, and relative importance of, constructs of parents’ reflective motivation and children’s intake of unhealthy foods. An online survey captured parent-rated reflective motivation constructs based on the health action process approach (HAPA) model, and children’s intake of unhealthy food using the short food survey. The HAPA model includes constructs of self-efficacy, risk perception, outcome expectancies, intention, and planning. Structural equation modelling was used to examine relationships between constructs and the HAPA model in its structural form. Four-hundred and ninety-five parents of three to seven-year olds completed the study. Model fit statistics (X2 = 210.03, df = 83, p < 0.001; Comparative fit index (CFI) = 0.96; Tucker Lewis index (TLI) = 0.94) supported suitability of the HAPA model. The HAPA model explained 9.2% of the variance in children’s unhealthy food intake. Constructs of self-efficacy (action to maintenance β = 0.69; maintenance to recovery β = 0.70; maintenance to planning β = 0.82) were found to be the most important constructs for reducing children’s unhealthy food intake, followed by planning (to unhealthy food intake β = −0.32) and intention (to planning β = 0.21). This study provides an initial insight into parental motivation and identifies primary intervention targets to enhance parental motivation to reduce unhealthy food provision, and subsequently children’s unhealthy food intake.

We would like to submit the following correction to our recently published paper [1] because there was an error in the median intake ratio calculation used in the substitution strategies.[...]