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Issue Addressed: Support for broad policies to prevent childhood obesity is not clear. This study aimed to investigate the level of support for state government health promotion policies among mothers with infants and its associated factors., Methods: This secondary analysis of data from 1155 mothers in NSW assessed approval for six policy options derived from public health approaches to obesity. Descriptive statistics were used to show the extent of policy approval across the cohort. Logistic regression models tested associations between perceived susceptibility and perceived severity of childhood obesity and approval of each policy option., Results: The proportion of mothers who felt these policy options were 'about the right amount' (56%-68%) or 'not going far enough' (24%-36%), collectively represented 89%-95% approval of government intervention. In comparison, 5%-11% felt that these policies were 'going too far'. Factors associated with their levels of support varied between each policy option, based on mothers' characteristics and perceptions of childhood obesity., Conclusion: These findings indicate high support for government intervention to prevent obesity among mothers in NSW and support health promotion advocacy in this area. SO WHAT?: Governments should give due consideration to implementing each of the six policy options and prioritise the implementation of restrictions on fast food advertising in publicly owned or controlled areas., (© 2020 Australian Health Promotion Association.)

Interventions for obesity prevention in early childhood (first 5 years of life) are likely to have a significant preventive health impact. This mapping review identified recommended policy options for the Australian Federal Government (AFG) by comparing countries with similar population, income, and language to Australia. Policies were mapped in six countries using two matrices. The first matrix examined policy context, describing obesity prevention governance. The second matrix examined policy content, compared with global recommendations. Policies were grouped into downstream (healthcare), midstream (lifestyle and settings), and upstream (determinants of health, including food and built environments). Results identified variance in obesity governance across the six countries including policy coherence, leadership, institutional drivers, and overlapping responsibility across different levels of government. While countries tended to have more downstream or midstream policies, upstream policies were more likely when countries had invested in system-wide approaches to obesity such as developing a national obesity strategy, having separate food/nutrition and physical activity plans, and a dedicated preventive health agency. This study recommends a range of initiatives for the AFG to strengthen policies for the prevention of obesity in early childhood, including prioritising the development of a national food/nutrition strategy., (© 2019 World Obesity Federation.)

Background: Difficulties engaging families with overweight children to enrol into programs aimed at reducing childhood obesity have been well documented. During the implementation of the Parenting, Eating and Activity for Child Health Program (PEACH™) over a large geographical area (Queensland (QLD), Australia), a natural experiment developed. This experiment provided an opportunity to observe if there was a difference in enrolment for families with overweight children with a weight criterion (referred to as the period with a Targeted Eligibility Criterion (TEC)) compared to when a weight criterion was removed (the period referred to as Universal Eligibility Criterion (UEC)). We also examined the eligibility criterion's relationship with attendance, parental concern about their child's weight, estimation of overweight and obesity from parent-reported data., Methods: A secondary analysis of baseline data from 926 overweight/obese children from 817 families enrolled in PEACH™ QLD was performed. Analyses were adjusted to control for the presence of clustered data. Bivariate statistics were performed using Pearson chi-square test with the second-order Rao-Scott correction, and Mann-Whitney U-test for non-parametric continuous variables. Generalized Estimating Equations (GEE) explored the association between weight status-based eligibility criteria and enrolment of overweight children. GEE were adjusted for sex, age and socioeconomic index and stratified for weight category., Results: Compared to obese children, overweight children were almost twice as likely to be enrolled when the program did not have weight status-based eligibility criteria (during UEC period) (OR = 1.90 (CI 95% 1.35-2.68, p <  0.001)). Parents of overweight children enrolled during the UEC period were more likely to regard their child's weight as less of a concern than during the TEC period (UEC 67% vs. TEC 45%, p = 0.036). Children whose parent-reported data underestimated their weight category were more likely to be enrolled while the program did not have weight-related eligibility criteria OR = 2.27 (CI 1.38-3.70, p <  0.01). Program session attendance did not appear to be impacted by the changes in eligibility criteria., Conclusions: The omission of weight criteria for healthy lifestyle programs is a consideration for health professionals and decision-makers alike when encouraging the enrolment of children who are overweight into healthy lifestyle programs., Trial Registration: ACTRN12617000315314 . Retrospectively registered 28 February 2017.

Background: PEACH™QLD translated the PEACH™ Program, designed to manage overweight/obesity in primary school-aged children, from efficacious RCT and small scale community trial to a larger state-wide program. This paper describes the lessons learnt when upscaling to universal health coverage., Methods: The 6-month, family-focussed program was delivered in Queensland, Australia from 2013 to 2016. Its implementation was planned by researchers who developed the program and conducted the RCT, and experienced project managers and practitioners across the health continuum. The intervention targeted parents as the agents of change and was delivered via parent-only group sessions. Concurrently, children attended fun, non-competitive activity sessions. Sessions were delivered by facilitators who received standardised training and were employed by a range of service providers. Participants were referred by health professionals or self-referred in response to extensive promotion and marketing. A pilot phase and a quality improvement framework were planned to respond to emerging challenges., Results: Implementation challenges included engagement of the health system; participant recruitment; and engagement. A total of 1513 children (1216 families) enrolled, with 1122 children (919 families) in the face-to-face program (105 groups in 50 unique venues) and 391 children (297 families) in PEACH™ Online. Self-referral generated 68% of enrolments. Unexpected, concurrent and, far-reaching public health system changes contributed to poor program uptake by the sector (only 56 [53%] groups delivered by publicly-funded health organisations) requiring substantial modification of the original implementation plan. Process evaluation during the pilot phase and an ongoing quality improvement framework informed program adaptations that included changing from fortnightly to weekly sessions aligned with school terms, revision of parent materials, modification of eligibility criteria to include healthy weight children and provision of services privately. Comparisons between pilot versus state-wide waves showed comparable prevalence of families not attending any sessions (25% vs 28%) but improved number of sessions attended (median = 5 vs 7) and completion rates (43% vs 56%)., Conclusions: Translating programs developed in the research context to enable implementation at scale is complex and presents substantial challenges. Planning must ensure there is flexibility to accommodate and proactively manage the system changes that are inevitable over time., Trial Registration: ACTRN12617000315314 . This trial was registered retrospectively on 28 February, 2017.

Background: Parenting, Eating and Activity for Child Health (PEACH™) is a multicomponent treatment program delivered over ten group sessions to parents of overweight/obese primary school-aged children. It has been shown to be efficacious in an RCT and was recently translated to a large-scale community intervention funded by the Queensland (Australia) Government. Engagement (enrolment and attendance) was critical to achieving program outcomes and was challenging. The purpose of the present study was to examine sample characteristics and mediating factors that potentially influenced program attendance., Methods: Data collected from parents who attended at least one PEACH™ Queensland session delivered between October 2013 and October 2015 (47 programs implemented in 29 discrete sites), was used in preliminary descriptive analyses of sample characteristics and multilevel single linear regression analyses. Mediation analysis examined associations between socio-demographic and parent characteristics and attendance at group sessions and potential mediation by child and parent factors., Results: 365/467 (78%) enrolled families (92% mothers) including 411/519 (79%) children (55% girls, mean age 9 ± 2 years) attended at least one session (mean 5.6 ± 3.2). A majority of families (69%) self-referred to the program. Program attendance was greater in: advantaged (5.9 ± 3.1 sessions) vs disadvantaged families (5.4 ± 3.4 sessions) (p < 0.05); partnered (6.1 ± 3.1 sessions) vs un-partnered parents (5.0 ± 3.1 sessions) (p < 0.01); higher educated (6.1 ± 3.0 sessions) vs lower educated parents (5.1 ± 3.3 sessions) (p = 0.02); and self-referral (6.1 ± 3.1) vs professional referral (4.7 ± 3.3) (p < 0.001). Child (age, gender, pre-program healthy eating) and parent (perceptions of child weight, self-efficacy) factors did not mediate these relationships., Conclusions: To promote reach and effectiveness of up-scaled programs, it is important to identify ways to engage less advantaged families who carry higher child obesity risk. Understanding differences in referral source and parent readiness for change may assist in tailoring program content. The influence of program-level factors (e.g. facilitator and setting characteristics) should be investigated as possible alternative mediators to program engagement.