https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43734 Wed 28 Sep 2022 10:44:01 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46428 P < .001 to P = .001). Captains were similar to their teammates except in regard to age, with captains being 2.6 years younger (P = .003). Conclusions: Results support hypotheses that self-selected teams are likely to contain individuals with similar characteristics, highlighting potential to leverage team-based health interventions to target specific populations by instructing individuals with risk characteristics to form teams to help change behavior.]]> Wed 23 Nov 2022 10:35:26 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24278 Wed 11 Apr 2018 18:17:05 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22705 n=174) were randomly allocated to the face-to-face, group-based intervention (six, theory-based two-hour sessions delivered over 8weeks targeting healthy eating and physical activity [PA]) or wait-list control (after completion of 20-week data collection). Assessment of the primary outcome (pedometer-assessed mean daily step counts) and secondary outcomes (diet and alcohol intake [Food Frequency Questionnaire], self-reported PA, weight, body mass index, and waist circumference) were assessed at baseline, 8-and 20-weeks. Results: There was a significant difference between the change over time in the intervention group and the control group. At 20weeks, the intervention group had increased by 478 steps, and the control group had decreased by 1282 steps; this represented an adjusted mean difference of 1761 steps (184 to 3337; P=0.0028). Significant intervention effects for secondary outcomes, included a half serving increase in vegetable intake (difference 39g/day; 95% CI: 12 to 67; P=0.02), weight loss (kg) (difference -1.5kg; 95% CI, -2.6 to -0.3; P=0.014) and change in body mass index (kg/m2) (difference -0.55kg/m2; 95% CI, -0.97 to -0.13; P=0.012). No significant intervention effects were found for self-reported PA, total sitting time, waist circumference, fruit, energy, fibre, alcohol, meat, or fat consumption. Conclusions: The ENRICH intervention was effective for improving PA, weight, body mass index, and vegetable consumption even with the inclusion of multiple cancer types and carers. As an example of successful research translation, the Cancer Council NSW has subsequently adopted ENRICH as a state-wide program. Trial registration: Australian New Zealand Clinical Trials Register identifier: ANZCTRN1260901086257.]]> Wed 11 Apr 2018 15:23:38 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22228 Wed 11 Apr 2018 10:59:37 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15153 Wed 11 Apr 2018 10:24:47 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:28806 M _age = 13.2 years, SD = 0.4) from 12 secondary schools located in low-income communities. At baseline, participants completed SCT scales related to physical activity (i.e., self-efficacy, intention, parental support, and outcome expectations). At baseline and 12-month follow-up (postintervention), participants wore accelerometers for 7 days. Structural equation modeling was used to determine if Time 1 measures predicted physical activity at 12-month follow-up after adjusting for baseline activity. Results: The model explained 28% and 34% of the variance in physical activity and intention, respectively. Model fit indexes indicated the data were a good fit to the model; however, only self-efficacy was associated with physical activity at 12 months. There was no support for intention or outcome expectations as proximal determinants of behavior. Self-efficacy was associated with outcome expectations and parental support; however, only outcome expectations predicted intention. Conclusions: Current findings indicate a large proportion of the variance for physical activity and intention remains unexplained and that the proposed pathways in the SCT model were not fully supported. Future model testing may need to consider augmentation or integration of theoretical models, which may include ecological components if we are to advance our understanding of physical activity behavior in this subgroup of the adolescent population.]]> Wed 04 Sep 2019 11:33:46 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34746 Tue 03 Sep 2019 18:01:40 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21720 Sat 24 Mar 2018 07:52:44 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20195 Sat 24 Mar 2018 07:51:31 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38860 Mon 29 Jan 2024 17:51:04 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32769 Mon 23 Sep 2019 11:36:52 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54723 Mon 11 Mar 2024 11:58:41 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47913 Mon 06 Feb 2023 16:06:00 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31243 Fri 24 Aug 2018 09:05:05 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49173 Fri 05 May 2023 15:37:24 AEST ]]>