https://nova.newcastle.edu.au/vital/access/manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:54361 Wed 28 Feb 2024 15:26:46 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:49641 Wed 28 Feb 2024 14:52:45 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:40817 Wed 20 Jul 2022 13:44:22 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:25099 Wed 14 Dec 2016 15:28:30 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:10433 Wed 11 Apr 2018 15:39:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:24246 Australia and New Zealand Journal of Public Health.]]> Wed 11 Apr 2018 15:37:09 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:31114 Wed 11 Apr 2018 15:35:12 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:14166 Wed 11 Apr 2018 11:20:11 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:30877 Wed 11 Apr 2018 11:00:54 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:24174 Wed 11 Apr 2018 10:48:24 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:26853 Wed 11 Apr 2018 10:14:29 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:21671 Wed 11 Apr 2018 10:03:48 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:18580 Wed 11 Apr 2018 09:15:14 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:44661 Wed 06 Mar 2024 15:12:50 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:38126 Wed 04 Aug 2021 15:14:30 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:53963 Tue 23 Jan 2024 12:39:20 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:30957 Tue 03 Sep 2019 18:31:12 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:36423 Thu 30 Apr 2020 11:19:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:39504 Thu 28 Jul 2022 15:11:48 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:45425 Thu 27 Jul 2023 10:07:40 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:39017 p < 0.01). Centre provision of intentional healthy eating learning experiences (estimate −0.56; p = 0.01) and the use of feeding practices that support children’s healthy eating (estimate −2.02; p = 0.04) were significantly associated with reduced child intake of saturated fat. Interventions to improve child nutrition in centres should focus on a range of healthy eating practices, including the availability of foods packed within lunchboxes.]]> Thu 25 Jan 2024 13:23:29 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:54298 Thu 15 Feb 2024 14:52:31 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:37423 60) that guide design and evaluation of implementation and scale-up processes. Therefore, we sought to recommend conceptual frameworks that can be used to design, inform, and evaluate implementation of physical activity (PA) and nutrition interventions at different stages of the program life cycle. We also sought to recommend a minimum data set of implementation outcome and determinant variables (indicators) as well as measures and tools deemed most relevant for PA and nutrition researchers. Methods: We adopted a five-round modified Delphi methodology. For rounds 1, 2, and 3 we administered online surveys to PA and nutrition implementation scientists to generate a rank order list of most commonly used; i) implementation and scale-up frameworks, ii) implementation indicators, and iii) implementation and scale-up measures and tools. Measures and tools were excluded after round 2 as input from participants was very limited. For rounds 4 and 5, we conducted two in-person meetings with an expert group to create a shortlist of implementation and scale-up frameworks, identify a minimum data set of indicators and to discuss application and relevance of frameworks and indicators to the field of PA and nutrition. Results: The two most commonly referenced implementation frameworks were the Framework for Effective Implementation and the Consolidated Framework for Implementation Research. We provide the 25 most highly ranked implementation indicators reported by those who participated in rounds 1–3 of the survey. From these, the expert group created a recommended minimum data set of implementation determinants (n = 10) and implementation outcomes (n = 5) and reconciled differences in commonly used terms and definitions. Conclusions: Researchers are confronted with myriad options when conducting implementation and scale-up evaluations. Thus, we identified and prioritized a list of frameworks and a minimum data set of indicators that have potential to improve the quality and consistency of evaluating implementation and scale-up of PA and nutrition interventions. Advancing our science is predicated upon increased efforts to develop a common ‘language’ and adaptable measures and tools.]]> Thu 12 Nov 2020 18:13:51 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:11202 Sat 24 Mar 2018 08:13:35 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:11400 Sat 24 Mar 2018 08:09:59 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:10281 Sat 24 Mar 2018 08:09:09 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:21000 p = <0.01), indicating that for every one point increase in implementation score, ECEC services were 38% more likely to be fully implementing the policies and practices. The findings highlight the opportunities for improving implementation of obesity prevention interventions in this setting by developing interventions that address such factors.]]> Sat 24 Mar 2018 07:50:38 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:23442 Sat 24 Mar 2018 07:12:55 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:29506 n = 19; 70%). Twenty-three studies targeted adults (17 showed significant health improvements) and four studies targeted children (two demonstrated significant health improvements). Twenty-one studies targeted physical activity (14 showed significant health improvements), 13 studies targeted diet (seven showed significant health improvements) and five studies targeted sedentary behaviour (two showed significant health improvements). More studies (n = 12; 63%) of those reporting significant effects detected between-group improvements in the health behaviour or related health outcomes, whilst fewer studies (n = 8; 42%) reported significant within-group improvements. A larger proportion of multi-component interventions (8 out of 13; 62%) showed significant between-group improvements compared to stand-alone app interventions (5 out of 14; 36%). Eleven studies reported app usage statistics, and three of them demonstrated that higher app usage was associated with improved health outcomes. Conclusions: This review provided modest evidence that app-based interventions to improve diet, physical activity and sedentary behaviours can be effective. Multi-component interventions appear to be more effective than stand-alone app interventions, however, this remains to be confirmed in controlled trials. Future research is needed on the optimal number and combination of app features, behaviour change techniques, and level of participant contact needed to maximise user engagement and intervention efficacy.]]> Mon 19 Aug 2024 15:50:06 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:48103 Fri 23 Aug 2024 12:20:28 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:53846 Fri 19 Jan 2024 10:18:45 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:53069 50% of their time working with individuals with overweight/obesity, usually in private practice (47%). Two thirds of respondents had accessed best practice guidelines, but only 12% had completely read best practice guidelines. General healthy eating was the most frequent dietary approach used (77%). Seventy-five percent (n = 56) of dietitians reported that dietary interventions were selected based on client preference. Almost half of dietitians rated their knowledge and level of skill in management of obesity as good. Approximately 60% (n = 41) dietitians reported their skill gap was related to providing behavioural therapy/counselling. Results of the current survey indicate that use of best practice guidelines is low. However, dietitians surveyed reported that they had a good understanding of obesity management and choose a client centred approach to management, which is in line with current recommendations. Professional development activities, particularly regarding behavioural counselling are of particular interest to dietitians working with individuals with obesity.]]> Fri 17 Nov 2023 11:46:36 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:16527 50%) of products listed on the menu. Outcome data will be collected via a comprehensive menu audit, conducted by dietitians blind to group allocation. Intervention effectiveness will be assessed using logistic regression models adjusting for baseline values. Discussion: The proposed trial will represent a novel contribution to the literature, being the first randomised trial internationally to examine the effectiveness of an intervention to facilitate implementation of a healthy canteen policy.]]> Fri 16 Aug 2024 13:08:29 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:51748 Fri 15 Sep 2023 18:22:08 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:55925 Fri 05 Jul 2024 16:44:13 AEST ]]>