https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 Associations between physical activity and quality of life in a population-based sample of kidney cancer survivors https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17989 Wed 11 Apr 2018 14:22:59 AEST ]]> Alberta Diabetes and Physical Activity Trial (ADAPT): a randomized theory-based efficacy trial for adults with type 2 diabetes - rationale, design, recruitment, evaluation, and dissemination https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9361 Wed 11 Apr 2018 14:11:31 AEST ]]> Correlates of physical activity in a population-based sample of kidney cancer survivors: an application of the theory of planned behavior https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19670 Wed 11 Apr 2018 12:43:57 AEST ]]> Moderators of Exercise Effects on Cancer-related Fatigue: A Meta-analysis of Individual Patient Data. https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40943 Wed 10 May 2023 10:32:14 AEST ]]> Social-ecological correlates of physical activity in kidney cancer survivors https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23937 age= 64.4 ± 11.1 years, 63.2 % male, and 82.2 % having localized kidney cancer. In the final multivariate model, meeting PA guidelines was associated with disease stage (OR = 0.25, p =.005), having drug therapy (OR = 3.98, p =.009), higher levels of instrumental attitudes (OR = 1.66, p =.053), higher levels of intention (OR = 1.72, p =.002), and the perceived presence of many retail shops in the neighborhood (OR = 1.37, p =.032). Conclusions: Meeting PA guidelines in KCS were associated with various aspects of the social-ecological model. Implications for Cancer Survivors: Understanding the social-ecological correlates for PA can provide insight into future interventions designed to increase PA in KCS. Prime targets for PA promotion should consider treatment-related factors, promote the benefits of PA, and enhance positive perceptions of the built environment.]]> Wed 09 Mar 2022 16:02:22 AEDT ]]> Translating research into practice: Outcomes from the Healthy Living after Cancer partnership project https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54244 Tue 13 Feb 2024 13:18:32 AEDT ]]> A test of cognitive mediation in a 12-month physical activity workplace intervention: does it explain behaviour change in women? https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9371 Tue 10 Apr 2018 15:10:55 AEST ]]> Physical activity preferences and type 2 diabetes: exploring demographic, cognitive, and behavioral differences https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9373 Sat 24 Mar 2018 10:45:36 AEDT ]]> Protection motivation theory and the prediction of physical activity among adults with type 1 or type 2 diabetes in a large population sample https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9369 Sat 24 Mar 2018 10:45:36 AEDT ]]> Physical activity and stages of change: a longitudinal test in types 1 and 2 diabetes samples https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9376 Sat 24 Mar 2018 10:45:35 AEDT ]]> Predictors of physical activity in adults with type 2 diabetes https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15483 Sat 24 Mar 2018 08:21:26 AEDT ]]> Determinants of quality of life in adults with type 1 and type 2 diabetes https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:13337 Sat 24 Mar 2018 08:17:02 AEDT ]]> Development and evaluation of a theory-based physical activity guidebook for breast cancer survivors https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9980 Sat 24 Mar 2018 08:14:24 AEDT ]]> Determinants of quality of life in type 2 diabetes population: the inclusion of personality https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12324 Sat 24 Mar 2018 08:11:37 AEDT ]]> Physical activity and health-related quality of life in young adult cancer survivors: a Canadian provincial survey https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12229 Sat 24 Mar 2018 08:08:07 AEDT ]]> Feasibility and preliminary efficacy of adding behavioral counseling to supervised physical activity in kidney cancer survivors: a randomized controlled trial https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20786 Sat 24 Mar 2018 08:06:01 AEDT ]]> Correlates of resistance training in post-treatment breast cancer survivors https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19909 Sat 24 Mar 2018 08:03:46 AEDT ]]> Prevalence, correlates, and psychosocial outcomes of sport participation in young adult cancer survivors https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19452 Sat 24 Mar 2018 08:02:25 AEDT ]]> Associations between sitting time and quality of life in a population-based sample of kidney cancer survivors https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19456 Sat 24 Mar 2018 08:02:24 AEDT ]]> Testing the utility of three social-cognitive models for predicting objective and self-report physical activity in adults with type 2 diabetes https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21309 n = 287, 53.8% males, mean age = 61.6 ± 11.8 years). Theoretical constructs across the three theories were tested to prospectively predict PA behaviour (objective and self-report) across three 6-month time intervals (baseline-6, 6-12, 12-18 months) using structural equation modelling. PA outcomes were steps/3 days (objective) and minutes of MET-weighted PA/week (self-report). Results: The mean proportion of variance in PA explained by these models was 6.5% for objective PA and 8.8% for self-report PA. Direct pathways to PA outcomes were stronger for self-report compared with objective PA. Conclusions: These theories explained a small proportion of the variance in longitudinal PA studies. Theory development to guide interventions for increasing and maintaining PA in adults with type 2 diabetes requires further research with objective measures. Theory integration across social-cognitive models and the inclusion of ecological levels are recommended to further explain PA behaviour change in this population. Statement of contribution What is already known on this subject? Social-cognitive theories are able to explain partial variance for physical activity (PA) behaviour. What does this study add? The testing of three theories in a longitudinal design over 3, 6-month time intervals. The parallel use and comparison of both objective and self-report PA measures in testing these theories.]]> Sat 24 Mar 2018 07:54:40 AEDT ]]> Testing mediator variables in a physical activity intervention for women with type 2 diabetes https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21370 n = 93) from the control group (standard PA materials, n = 44) and the full intervention group (control + stage-matched printed material and telephone counseling, n = 49) of a larger PA intervention trial were included. PA outcomes were minutes of MET weighted moderate and vigorous PA/week (self-report) and steps/3-days (objective) recorded at baseline and 12-months. Social-cognitive constructs were measured and tested in a mediating variable framework. Results: Perceived behavioral control and barrier self-efficacy mediated intervention effects on objective PA (proportion of intervention effect mediated = 18% and 24% respectively). Intention was a mediator of objective PA (23%). Conclusion: Perceived behavior control, barrier self-efficacy, and intention are effective mechanisms of PA behavior change in women with T2DM.]]> Sat 24 Mar 2018 07:51:26 AEDT ]]> Determinants of physical activity in young adult cancer survivors https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28488 Sat 24 Mar 2018 07:39:36 AEDT ]]> A systematic review and meta-analysis of social cognitive theory-based physical activity and/or nutrition behavior change interventions for cancer survivors https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28997 n = 12) revealed a significant intervention effect for physical activity (standardized mean difference (SMD) = 0.33; P < 0.01). Most studies (six out of eight) that targeted dietary change reported significant improvements in at least one aspect of diet quality. No SCT constructs were associated with intervention effects. There were no consistent trends relating to intervention delivery method or whether the intervention targeted single or multiple behaviors. Conclusions: SCT-based interventions demonstrate promise in improving physical activity and diet behavior in cancer survivors, using a range of intervention delivery modes. Further work is required to understand how and why these interventions offer promise for improving behavior. Implications for Cancer Survivors: SCT-based interventions targeting diet or physical activity are safe and result in meaningful changes to diet and physical activity behavior that can result in health improvements.]]> Sat 24 Mar 2018 07:29:24 AEDT ]]> Changes in motivational outcomes following a supervised physical activity program with behavioral counseling in kidney cancer survivors: a pilot study https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27590 Sat 24 Mar 2018 07:23:41 AEDT ]]> Physical activity preferences in a population-based sample of kidney cancer survivors https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22176 Sat 24 Mar 2018 07:14:59 AEDT ]]> A survey of physical activity programming and counseling preferences in young-adult cancer survivors https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23561 Sat 24 Mar 2018 07:14:10 AEDT ]]> Dropout from exercise trials among cancer survivors—An individual patient data meta-analysis from the POLARIS study https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54664 28.4 kg/m2 , performing supervised resistance or unsupervised mixed exercise (19.8% dropout) or had low-medium education and performed aerobic or supervised mixed exercise (13.5%). The lowest dropout was found for participants with BMI >28.4 kg/m2 and high education performing aerobic or supervised mixed exercise (5.1%), and participants with BMI ≤28.4 kg/m2 exercising during (5.2%) or post (9.5%) treatment. Conclusions: There are several systematic differences between cancer survivors completing and dropping out from exercise trials, possibly affecting the external validity of exercise effects.]]> Fri 08 Mar 2024 10:56:56 AEDT ]]> Effects and moderators of exercise on quality of life and physical function in patients with cancer: an individual patient data meta-analysis of 34 RCTs https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33527 difference_in_effect = 0.13, 95%CI = 0.03;0.22) and PF (βdifference_in_effect = 0.10, 95%CI = 0.01;0.20) were significantly larger for supervised than unsupervised interventions. In conclusion, exercise, and particularly supervised exercise, effectively improves QoL and PF in patients with cancer with different demographic and clinical characteristics during and following treatment. Although effect sizes are small, there is consistent empirical evidence to support implementation of exercise as part of cancer care.]]> Fri 03 Dec 2021 10:34:03 AEDT ]]>