https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52745 n = 96) was shown to be effective in weight loss, adherence to healthy lifestyle behaviors, and cardiorespiratory fitness in overweight and obese men. A full effectiveness trial is now needed. Aims: To determine the effectiveness and cost effectiveness of Rugby Fans In Training-NZ (RUFIT-NZ) on weight loss, fitness, blood pressure, lifestyle change, and health related quality of life (HRQoL) at 12- and 52-weeks. Methods: We conducted a pragmatic, two-arm, multi-center, randomized controlled trial in NZ with 378 (target 308) overweight and obese men aged 30-65 years, randomized to an intervention group or wait-list control group. The 12-week RUFIT-NZ program was a gender-sensitised, healthy lifestyle intervention delivered through professional rugby clubs. Each intervention session included: i) a 1-h workshop-based education component focused on nutrition, physical activity, sleep, sedentary behavior, and learning evidence-based behavior change strategies for sustaining a healthier lifestyle; and 2) a 1-h group-based, but individually tailored, exercise training session. The control group were offered RUFIT-NZ after 52-weeks. The primary outcome was change in body weight from baseline to 52-weeks. Secondary outcomes included change in body weight at 12-weeks, waist circumference, blood pressure, fitness (cardiorespiratory and musculoskeletal), lifestyle behaviors (leisure-time physical activity, sleep, smoking status, and alcohol and dietary quality), and health-related quality of life at 12- and 52-weeks. Results: Our final analysis included 200 participants (intervention n = 103; control n = 97) who were able to complete the RUFIT-NZ intervention prior to COVID-19 restrictions. At 52-weeks, the adjusted mean group difference in weight change (primary outcome) was -2.77 kg (95% CI -4.92 to -0.61), which favored the intervention group. The intervention also resulted in favorable significant differences in weight change and fruit and vegetable consumption at 12-weeks; and waist circumference, fitness outcomes, physical activity levels, and health-related quality of life at both 12 and 52 weeks. No significant intervention effects were observed for blood pressure, or sleep. Incremental cost-effective ratios estimated were $259 per kg lost, or $40,269 per quality adjusted life year (QALY) gained. Conclusion: RUFIT-NZ resulted in sustained positive changes in weight, waist circumference, physical fitness, self-reported physical activity, selected dietary outcomes, and health-related quality of life in overweight/obese men. As such, the program should be recommended for sustained delivery beyond this trial, involving other rugby clubs across NZ.]]> Wed 28 Feb 2024 16:35:22 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52435 Wed 28 Feb 2024 15:36:33 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37031 Wed 24 Nov 2021 15:50:13 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51408 Wed 15 May 2024 09:42:31 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45429 Wed 13 Mar 2024 15:49:55 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:4381 Wed 11 Apr 2018 18:36:44 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15732 Wed 11 Apr 2018 17:05:14 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:13782 Wed 11 Apr 2018 16:59:23 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:7737 Wed 11 Apr 2018 16:33:59 AEST ]]> https://ogma.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.]]> Wed 11 Apr 2018 16:16:34 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:6807 Wed 11 Apr 2018 16:11:59 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:7507 Wed 11 Apr 2018 16:09:00 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11860 Wed 11 Apr 2018 15:38:40 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:4315 Wed 11 Apr 2018 15:21:56 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15419 Wed 11 Apr 2018 14:54:08 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:6949 Wed 11 Apr 2018 14:39:58 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14799 Wed 11 Apr 2018 13:55:47 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15680 Wed 11 Apr 2018 13:55:09 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11863 Wed 11 Apr 2018 13:25:47 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16752 Wed 11 Apr 2018 13:13:35 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19670 Wed 11 Apr 2018 12:43:57 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30123 Wed 11 Apr 2018 12:41:28 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14809 Wed 11 Apr 2018 12:33:26 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11861 Wed 11 Apr 2018 11:37:13 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15553 Wed 11 Apr 2018 11:33:58 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29476 50% ‘green’ items, as assessed via standardised menu audits undertaken by trained dietitians. For each primary outcome, between-group differences were assessed using Fisher’s exact test under an intention to treat approach. Results: There was insufficient evidence to conclude the intervention had a positive impact on the proportion of intervention schools with no ‘red’ or ‘banned’ items on their menu (RR = 2.8; 95% CI: 0.9 to 8.9; p = 0.0895), or on the proportion of intervention schools with more than 50% ‘green’ items (RR = 1.5; 95% CI: 0.7 to 3.2; p = 0.2568). These findings remained non-significant in the multiple imputation analyses. Intervention schools were significantly more likely to have a lower percentage of ‘red’ items (p-value: 0.007) and a higher percentage of ‘green’ items on the menu (p-value: 0.014). This remained statistically significant in the multiple imputation analyses for ‘red items’ (p-value: 0.0081) but not for ‘green’ items (p-value: 0.0910). Conclusions: While there was insufficient statistical evidence to suggest that this multicomponent audit and feedback intervention was effective in improving primary schools’ compliance with a healthy canteen policy, the intervention demonstrated some positive impact in reducing the availability of ‘red’ items on the menu.]]> Wed 11 Apr 2018 11:32:26 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14686 Wed 11 Apr 2018 11:24:09 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27612 Wed 11 Apr 2018 11:17:27 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:6948 Wed 11 Apr 2018 11:12:15 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11866 Wed 11 Apr 2018 11:09:47 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:6817 Wed 11 Apr 2018 11:09:23 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22166 Wed 11 Apr 2018 11:03:41 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22748 Healthy Habits telephone-based parent intervention. Method: Analysis was conducted using 2-month (immediate) and 12-month (sustained) follow-up data from a cluster randomised control trial of a home food environment intervention to increase the fruit and vegetable consumption of preschool children. Using recursive path analysis, a series of mediation models were created to investigate the direct and indirect effects of immediate and sustained changes to characteristics of the home food environment (fruit and vegetable availability, accessibility, parent intake, parent providing behaviour, role-modelling, mealtime eating practices, child feeding strategies, and pressure to eat), on the change in children's fruit and vegetable consumption. Results: Of the 394 participants in the randomised trial, 357 and 329 completed the 2- and 12-month follow-up respectively. The final mediation model suggests that the effect of the intervention on the children's fruit and vegetable consumption was mediated by parent fruit and vegetable intake and parent provision of these foods at both 2- and 12-month follow-up. Conclusion: Analysis of data from the Healthy Habits trial suggests that two environmental variables (parental intake and parent providing) mediate the immediate and sustained effect of the intervention, and it is recommended these variables be targeted in subsequent home food environment interventions to bring about immediate and sustained changes in child fruit and vegetable intake. Trial registration:ACTRN12609000820202.]]> Wed 11 Apr 2018 10:45:59 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15547 Wed 11 Apr 2018 10:43:23 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27611 Wed 11 Apr 2018 10:27:15 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21677 Wed 11 Apr 2018 10:20:05 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26853 Wed 11 Apr 2018 10:14:29 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25317 Wed 11 Apr 2018 10:00:24 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14832 Wed 11 Apr 2018 09:49:46 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:6947 Wed 11 Apr 2018 09:47:17 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15675 Wed 11 Apr 2018 09:13:37 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30201 Wed 09 Mar 2022 15:59:26 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24818 Wed 09 Mar 2022 15:58:49 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29895 Wed 06 Nov 2019 12:48:57 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44033 75%). The total cost of the program was $415,112 AUD (2018) ($17,296 per school; $117.30 per student). Conclusions: The adapted implementation intervention provides policy makers and researchers with an effective and potentially cost-effective model for scaling-up the delivery of PA4E1 in secondary schools. Further assessment of sustainability is warranted. Trial registration: Australian New Zealand Clinical Trials Registry ACTRN12617000681358 prospectively registered 12th May 2017.]]> Wed 05 Oct 2022 15:25:23 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33860 Wed 04 Sep 2019 09:48:03 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38160 0.05), and the intervention significantly improved the ASI (all p < 0.05). A more favourable ASI score was associated with improved symptoms of depression, anxiety, stress, QOL-mental and of energy and fatigue (all p < 0.05). The intervention effects on symptoms of depression ([AB; 95%CI] -0.31; - 0.60,-0.11), anxiety (- 0.11; - 0.27,-0.01), stress (- 0.37; - 0.65,-0.174), QOL-mental (0.53; 0.22, 1.01) and ratings of energy and fatigue (0.85; 0.33, 1.63) were mediated by ASI. At 6 months the magnitude of association was larger although the overall pattern of results remained similar. Conclusions: Improvements in the overall physical activity and sleep behaviours of adults partially mediated the intervention effects on mental health and quality of life outcomes. This highlights the potential benefit of improving the overall pattern of physical activity and sleep on these outcomes. Trial registration: Australian New Zealand Clinical Trial Registry: ACTRN12617000680369; ACTRN12617000376347. Universal Trial number: U1111–1194-2680; U1111–1186-6588. Human Research Ethics Committee Approval: H-2016- 0267; H-2016–0181.]]> Wed 04 Aug 2021 18:44:37 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15532 Tue 24 Aug 2021 14:39:28 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15510 Tue 24 Aug 2021 14:35:07 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53963 Tue 23 Jan 2024 12:39:20 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51130 Tue 22 Aug 2023 15:51:44 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9371 Tue 10 Apr 2018 15:10:55 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38072 Tue 03 Aug 2021 19:17:27 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41310 Tue 02 Aug 2022 14:16:37 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35757 Thu 28 Oct 2021 13:04:00 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45406 Thu 27 Oct 2022 17:08:40 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30430 3), subdivided into eight 2 cm sub-cubes for estimating smaller food volumes. Compared with currently used measures such as cups and spoons, the IFU™ standardizes estimation of food volumes with metric measures. The IFU™ design is based on binary dimensional increments and the cubic shape facilitates portion size education and training, memory and recall, and computer processing which is binary in nature. Methods: The performance of the IFU™ was tested in a randomized between-subject experiment (n = 128 adults, 66 men) that estimated volumes of 17 foods using four methods; the IFU™ cube, a deformable modelling clay cube, a household measuring cup or no aid (weight estimation). Estimation errors were compared between groups using Kruskall-Wallis tests and post-hoc comparisons. Results: Estimation errors differed significantly between groups (H(3) = 28.48, p < .001). The volume estimations were most accurate in the group using the IFU™ cube (Mdn = 18.9%, IQR = 50.2) and least accurate using the measuring cup (Mdn = 87.7%, IQR = 56.1). The modelling clay cube led to a median error of 44.8% (IQR = 41.9). Compared with the measuring cup, the estimation errors using the IFU™ were significantly smaller for 12 food portions and similar for 5 food portions. Weight estimation was associated with a median error of 23.5% (IQR = 79.8). Conclusions: The IFU™ improves volume estimation accuracy compared to other methods. The cubic shape was perceived as favourable, with subdivision and multiplication facilitating volume estimation. Further studies should investigate whether the IFU™ can facilitate portion size training and whether portion size education using the IFU™ is effective and sustainable without the aid. A 3-dimensional IFU™ could serve as a reference object for estimating food volume.]]> Thu 24 Mar 2022 11:35:31 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35758 Thu 24 Mar 2022 11:35:11 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51181 Thu 24 Aug 2023 14:31:12 AEST ]]> https://ogma.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://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49323 Thu 11 May 2023 15:00:26 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46055 Thu 10 Nov 2022 11:14:04 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24232 Thu 09 Dec 2021 10:12:16 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28372 Thu 04 Nov 2021 10:39:02 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38346 Mon 30 Aug 2021 15:53:18 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37943 Mon 29 Jan 2024 18:44:37 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51974 50% of schools adhered to the majority of strategies (11 of the 14 components); and acceptability was > 50% agreement for all strategies. The incremental cost per additional minute of physical activity scheduled per week was $27 per school (Uncertainty Interval $24, $31). Conclusions: PACE can be successfully delivered across multiple regions and to a large number of schools. Given the ongoing and scalable benefits of PACE, it is important that we continue to extend and improve this program while considering ways to reduce the associated cost.]]> Mon 25 Sep 2023 10:58:56 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32026 Mon 23 Sep 2019 11:59:16 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32775 Mon 23 Sep 2019 10:47:46 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51102 Mon 21 Aug 2023 14:53:16 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51101 Mon 21 Aug 2023 14:46:33 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43424  0.9) and good internal consistency (Cronbach’s Alphas > 0.7). Both measures showed initial discriminant validity, with significant differences (P< 0.001) between those who reported assisting their parents with dinner preparation and those who did not. Additionally, CooC11 was significantly correlated with an adult cooking measure and had a significant responsiveness to change (P< 0.01). Conclusions: The CooC11 and CooC7 are the first validated age-appropriate measures for assessing children’s perceived Cooking Competence for ages 8–12 and 6–7 years respectively. They can be used to evaluate the efficacy of children’s cooking intervention studies or school nutrition education programmes.]]> Mon 19 Sep 2022 08:39:07 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52515 Mon 16 Oct 2023 10:38:42 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37430  80%). Conclusions: Through the application of multiple implementation support strategies, secondary schools were able to overcome commonly known barriers to implement evidence based school PA practices. As such practices have been shown to result in an increase in adolescent PA and improvements in weight status, policy makers and practitioners responsible for advocating PA in schools should consider this implementation approach more broadly when working with schools. Follow-up is required to determine whether practice implementation is sustained. Trial registration: Australian New Zealand Clinical Trials Registry ACTRN12617000681358 registered 12th May 2017.]]> Mon 16 Nov 2020 17:11:49 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54770 Mon 11 Mar 2024 15:08:40 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37823 Mon 10 May 2021 15:39:43 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52332 Mon 09 Oct 2023 14:49:52 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39059 familism (inclusion and impact on whole family) was recommended for the program goals and activities. Gender roles for mothers and fathers, and differences in how fathers interact with male and female children, emerged and should be considered in program activities. Several barriers to father engagement surfaced, including lack of time due to work schedules, physically demanding jobs, concerns of caring for children without mother, fathers’ current fitness/weight, and lack of knowledge of how to eat more healthfully. The reading level of the HDHK materials was too high for some parents. Conclusion: Findings from these formative qualitative studies informed the cultural adaptation of HDHK for Hispanic families, to account for literacy level, cultural values, and barriers to participation and engagement.]]> Mon 02 May 2022 16:30:40 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24525 Fri 25 Sep 2020 13:38:39 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29919 Fri 24 Aug 2018 09:03:02 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51750 Fri 15 Sep 2023 18:22:11 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54683  70 out of 100/ and ~ 35 out of 50) the association strength increased for both moderate- and vigorous-intensity physical activity. There were sex interactions for locomotor skills only, specifically for vigorous activity with boys having a stronger positive association than girls. Conclusions: There appears to be a threshold for object control skill proficiency that children need to reach to enhance their physical activity levels which provides support for a motor skill "proficiency barrier". This provides a tangible benchmark for children to achieve in motor competence programs.]]> Fri 08 Mar 2024 11:45:45 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54662 Fri 08 Mar 2024 10:56:51 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40370 Fri 08 Jul 2022 16:16:39 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41558 Fri 05 Aug 2022 14:31:00 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49831 Fri 02 Jun 2023 16:03:52 AEST ]]>