https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45226 Wed 26 Oct 2022 15:49:16 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36176 Wed 26 Feb 2020 12:56:32 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27538 Wed 23 Feb 2022 16:06:32 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48612 Wed 22 Mar 2023 14:50:47 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22154 2 tests were performed for nominal data and the Wilcoxon rank sum test for ordinal and non-parametric data. Results: About 100% of dietitians had received initial weight management training and 85% had participated in professional development training, compared with 18 and 19% of HPs, respectively, although 70% believed it was within their scope of practice to provide evidence-based advice. Dietitian respondents achieved a higher median score (maximum 10) in the following areas (practice = 6.5, knowledge = 8.0, confidence = 8.3) when compared with HP respondents (practice = 4.2, knowledge = 7.0, confidence = 5.4). The median attitude score for both groups was 6.0. Conclusions: HPs are receptive to providing evidence-based weight loss messages to overweight/obese clients in their current practice. However, weight management training is required to enhance HPs' knowledge and skills in order to increase confidence and improve practice skills. Dietitians can assist HPs to ensure that clear, consistent, evidence-based messages are delivered to overweight clients throughout the health-care system.]]> Wed 19 Apr 2023 13:50:55 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39145 N = 389, 16.0 ± 0.4 years, 41.10% female) completed the HIIT-SQ, and factorial validity of the measurement model was explored. Phase 3: Adolescents (N = 100, age 12–14 years, 44% female) completed the HIIT-SQ twice (1 week apart) to evaluate test–retest reliability. Confirmatory factor analysis of the final six items (mean = 3.43–6.73, SD = 0.99–25.30) revealed adequate fit, χ²(21) = 21, p = .01, comparative fit index = .99, Tucker–Lewis index = .99, root mean square of approximation = .07, 90% confidence interval [.04, .11]. Factor loading estimates showed that all items were highly related to the factor (estimates range: 0.81–0.90). Intraclass coefficients and typical error values were .99 (95% confidence interval [.99, 1.00]) and .22, respectively. This study provides preliminary evidence for the validity and reliability of scores derived from the HIIT-SQ in adolescents.]]> Wed 18 May 2022 12:22:41 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35716 Wed 17 Jun 2020 11:10:02 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40958 Wed 15 Feb 2023 14:52:49 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49608 Wed 14 Jun 2023 18:15:45 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36962 Wed 11 Nov 2020 14:13:55 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15776 Wed 11 Apr 2018 16:59:53 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:22151 2 = 0.14; P = 0.01). For daughters' CPM, mothers' logistic support (P = 0.03), mothers' CPM (P = 0.02) and outcome expectations (P = 0.01) were all significant (R² = 0.24). For daughters' % SED, mothers' logistic support (P = 0.02) was significant (R² = 0.11). Conclusions for Practice: A number of maternal behaviors, social-cognitive and parenting correlates were found to be significantly associated with daughters' physical activity. Experimental studies are warranted, targeting mothers as the primary agents of change to increase physical activity among girls.]]> Wed 11 Apr 2018 16:37:00 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16751 Wed 11 Apr 2018 16:36:30 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23597 Wed 11 Apr 2018 16:32:58 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9374 Wed 11 Apr 2018 16:18:02 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9285 Wed 11 Apr 2018 16:17:28 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25742 Wed 11 Apr 2018 16:16:27 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11906 Wed 11 Apr 2018 16:12:48 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27083 2 h/day). In total, 322 adolescents (mean age = 14.4 ± 0.6 years) from eight secondary schools in New South Wales, Australia were recruited. The S4HM intervention was guided by Self-Determination Theory and included: an interactive seminar, eHealth messaging, a behavioral contract and parental newsletters. The primary outcome was recreational screen-time. Secondary outcomes included mental health (i.e., well-being, psychological distress, self-perceptions), objectively measured physical activity, and body mass index (BMI). Outcome analyses were conducted using linear mixed models and mediation was examined using a product-of-coefficients test. Results: At post-intervention, significant reductions in screen-time were observed in both groups, with a greater reduction observed in the intervention group (− 50 min/day versus − 29 min, p < 0.05 for both). However, the adjusted difference in change between groups was not statistically significant (mean = − 21.3 min/day, p = 0.255). There were no significant intervention effects for mental health outcomes, physical activity or BMI. Significant mediation effects for autonomous motivation were found. Conclusions: Participants in both the S4HM intervention and control groups significantly reduced their screen-time, with no group-by-time effects. Enhancing autonomous motivation might be a useful intervention target for trials aimed at reducing adolescents' recreational screen-time.]]> Wed 11 Apr 2018 16:06:47 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15599 Wed 11 Apr 2018 16:02:57 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16081 Wed 11 Apr 2018 15:57:59 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:18907 Wed 11 Apr 2018 15:25:21 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17077 863 =1.31, P =.19). At 1-month follow-up, 93 participants were categorized as matched and 195 as mismatched. They preferred text mode (493/803, 61.4%) over combined (216/803, 26.9%) and video modes (94/803, 11.7%). After the intervention, 20% (26/132) of matched-group participants and 34% (96/282) in the mismatched group changed their delivery mode preference. Time effects were significant for all physical activity outcomes (total physical activity: F_2,801 = 5.07, P = .009; number of activity sessions: F_2,801 = 7.52, P < .001; walking: F_2,801 = 8.32, P < .001; moderate physical activity: F_2,801 = 9.53, P < .001; and vigorous physical activity: F_2,801 = 6.04, P = .002), indicating that physical activity increased over time for both matched and mismatched groups. Matched-group participants improved physical activity outcomes slightly more than those in the mismatched group, but interaction effects were not significant. Physical activity advice acceptability (content scale: t₃₆₈ = .10, P = .92; layout scale: t₃₆₈ = 1.53, P = .12) and website usability (layout scale: t₄₂₆ = .05, P = .96; ease of use scale: t₄₂₆ = .21, P = .83) were generally high and did not differ between the matched and mismatched groups. The only significant difference (t₆₂₁ = 2.16, P = .03) was in relation to total time spent on the website: the mismatched group spent significantly more time on the website (14.4 minutes) than the matched group (12.1 minutes). Conclusion: Participants’ preference regarding delivery mode may not significantly influence intervention outcomes. Consequently, allowing participants to choose their preferred delivery mode may not increase effectiveness of Web-based interventions.]]> Wed 11 Apr 2018 15:23:17 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:13548 Wed 11 Apr 2018 15:16:53 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20221 Wed 11 Apr 2018 15:04:06 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14180 Wed 11 Apr 2018 15:03:10 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:30200 Wed 11 Apr 2018 14:51:59 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12902 Wed 11 Apr 2018 14:41:34 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30990 Wed 10 Jul 2019 15:13:10 AEST ]]> 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 ]]> 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:14521 Wed 04 Sep 2019 11:33:44 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:18826 Wed 04 Sep 2019 10:59:40 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25667 Wed 04 Sep 2019 10:38:01 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25481 Wed 04 Sep 2019 10:18:46 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31353 Wed 04 Sep 2019 09:49:26 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37395 Wed 04 Nov 2020 19:01:03 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38655 Wed 04 May 2022 15:19:55 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:49038 Wed 03 May 2023 13:48:10 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37221 Wed 02 Sep 2020 15:42:07 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25741 Wed 02 Oct 2019 10:21:26 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31075 Wed 01 Apr 2020 12:50:31 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32859 Tue 31 Jul 2018 11:48:17 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25428 Tue 24 Mar 2020 10:43:25 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25799 Tue 24 Mar 2020 10:43:11 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15536 Tue 24 Aug 2021 14:37:58 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32770 Tue 23 Jul 2019 12:46:17 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27589 Tue 23 Jul 2019 08:48:12 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35674 Tue 22 Oct 2019 11:50:11 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37700 Tue 16 Mar 2021 17:51:59 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41937 ecofit intervention will be evaluated using a two-arm randomized controlled trial. A total of 240 adults (aged 18-80) will be recruited and randomly allocated to either the ecofit intervention or a 'wait-list' control group. Both groups will have access to the two types of outdoor park exercise equipment, but the intervention group will be given access to the purpose-built ecofit app and a 90-min introductory group training session. To promote social support, participants can enrol in a group of up to four individuals and access the ecofit Facebook group. The ecofit app include workout plans that can be tailored to different locations, difficulty levels and workout-types (i.e., resistance-only or combined resistance and aerobic workouts). Outcome assessments will be conducted at baseline, 3- (primary-end point) and 9-months follow-up. The primary outcomes are upper and lower body muscular fitness. The secondary outcomes include physical activity, body composition, aerobic fitness, body mass index, self-report resistance-based physical activity, and mental health outcomes. The cost-effectiveness of the study will also be evaluated. Discussion: ecofit is an innovative, multi-component physical activity intervention that integrates smartphone technology, social support and the outdoor built environment to promote community-based aerobic and resistance-based physical. The findings will be used to guide future interventions and to support councils to promote community-based physical activity through the use of local outdoor exercise equipment. Trial registration: ACTRN12619000868189.]]> Tue 16 Aug 2022 10:40:22 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55086 Tue 09 Apr 2024 12:05:46 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37736 Tue 08 Aug 2023 10:33:20 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43883 Tue 04 Oct 2022 13:45:44 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30960 Tue 04 Jun 2019 13:26:08 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34917 Tue 03 Sep 2019 18:18:26 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33756 Tue 03 Sep 2019 17:57:42 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33018 Tue 03 Sep 2019 17:54:23 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39068 n = 160) from an m-health physical activity and sleep intervention were analyzed to examine scale validity. Additional participants (n = 20) were recruited to compute test–retest reliability. Four of seven constructs correlated significantly with sleep hygiene practice (r = −0.17 to −0.36). The scales generally displayed unidimensional component structures. Internal consistency was good to excellent (α = 0.76–0.92). Test–retest reliability was good to excellent (ICC = 0.61–0.84). Though satisfactory, these findings warrant replication in larger samples.]]> Tue 03 May 2022 16:53:32 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41392 Tue 02 Aug 2022 17:47:29 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44808 Thu 27 Oct 2022 12:43:51 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51212 80%) reported normal levels of depression, anxiety or stress. Relative to baseline levels, significant reductions of depression, anxiety, stress and the SF12 mental health component were observed in the pooled intervention group at 3 and 9 months. Relative to the control group, significant reductions were observed in the pooled intervention group for depression and stress (3-months only) and anxiety (3- and 9-months), but not quality of life. Conclusion: A web-based physical activity intervention can result in positive mental health outcomes, even in the absence of device-measured physical activity improvements. However, these findings need to be confirmed in future studies.]]> Thu 24 Aug 2023 15:01:49 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45012 2 tests). Results: Preference for an intervention group prior to randomization did not significantly (all P’s > .05 using 95% confidence interval) impact step counts (differences of <600 steps/day between groups) or study participation. Conclusion: Future research should continue to address whether the strength of preferences influence study outcome and participation and whether the study preferences change over time.]]> Thu 23 Mar 2023 13:53:33 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48974 Thu 20 Apr 2023 12:08:46 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36287 -1. The purpose of this study was to examine the effect of a school-based intervention focused on resistance training (RT) for adolescents. Methods: The "Resistance Training for Teens" intervention was evaluated using a cluster-randomized, controlled trial with 607 adolescents (50.1% girls; 14.1 T 0.5 yr) from 16 secondary schools. Teachers were trained to deliver the intervention, which included the following: (i) an interactive student seminar; (ii) a structured physical activity program, focused on RT; (iii) lunchtime fitness sessions; and (iv) Web-based smartphone apps. The primary outcome was muscular fitness (MF) and secondary outcomes included body mass index, RT skill competency, flexibility, physical activity, self-efficacy, and motivation. Assessments were conducted at baseline, 6 months (postprogram; primary end point), and 12 months (follow-up). Outcomes were assessed using linear mixed models, with three potential moderators tested using interaction terms (and subgroup analyses where appropriate). Results: For the primary outcome (MF), a group-time effect was observed at 6 months for the upper body (2.0 repetitions; 95% confidence interval (CI), 0.8-3.2), but not the lower body (-1.4 cm; 95% CI, -4.7-1.9). At 6 months, there were intervention effects for RT skill competency and self-efficacy, but no other secondary outcomes. Effects for upper body MF and RT skill competency were sustained at 12 months. Despite overall no effect for body mass index, there was a group-time effect at 12 months among students whowere overweight/obese at baseline (-0.55 kg·m^-2; 95% CI, -1.01 to -0.08). Conclusions: The school-based RT intervention resulted in immediate and sustained improvements in upper body MF and RT skill competency, demonstrating an effective and scalable approach to delivering RT within secondary schools.]]> Thu 19 Mar 2020 17:51:33 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25504 Thu 17 Mar 2022 14:36:18 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48087 Thu 16 Mar 2023 10:16:03 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43283 Thu 15 Sep 2022 12:30:39 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48152 Thu 09 Mar 2023 09:37:38 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38626 Thu 09 Dec 2021 14:48:14 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35722 Thu 07 Nov 2019 09:43:54 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:23923 Thu 03 Feb 2022 12:19:47 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33483 Thu 03 Feb 2022 12:19:16 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38631 Thu 02 Dec 2021 13:45:24 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46627 Mon 28 Nov 2022 13:38:41 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26816 Mon 23 Sep 2019 14:06:26 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25456 Mon 23 Sep 2019 12:57:08 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32776 Mon 23 Sep 2019 11:07:29 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32763 Mon 23 Jul 2018 12:49:18 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48523 Ps < 0.015). In particular, the more participants were sedentary in their everyday life, the less they felt well and energized. Exploratory analyses of the temporal course of these effects supported our findings. Sedentary behavior can be seen as a general risk factor because it impacts both somatic and mental health. Most importantly, physical activity and sedentary behavior showed independent effects on mood dimensions. Accordingly, future studies should consider the two sides of the physical behavior coin: How should physical activity be promoted? and How can sedentary behavior be reduced?]]> Mon 20 Mar 2023 17:42:41 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44545 Mon 17 Oct 2022 09:31:31 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17551 Mon 06 Apr 2020 12:14:32 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54108 Mon 05 Feb 2024 09:56:03 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42977 Mon 04 Sep 2023 16:11:57 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47188 d = 0.48, 95% CI: -2.26, -0.33, p = 0.009) and sleep hygiene (d = 0.40, 95% CI: -3.10, -0.19, p = 0.027). Differences in MVPA were not significant (d = 0.24, 95% CI: -35.53, 254.67, p = 0.139). Changes in MVPA were mediated by self-efficacy, perceived capability, environment, social support, intentions and planning, some of which showed inconsistent mediation (suppression). None of the hypothesised psychosocial factors mediated sleep outcomes. Changes in sleep hygiene mediated changes in sleep quality. Conclusions: Several psychosocial factors mediated changes in physical activity but not in sleep outcomes. Mediation effects of sleep hygiene on sleep quality highlight the importance of providing evidence-based strategies to improve sleep quality.]]> Fri 30 Jun 2023 10:17:36 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42182 Fri 19 Aug 2022 09:43:19 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53132 Fri 17 Nov 2023 11:38:13 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38376 Fri 10 Sep 2021 10:31:31 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51525 Fri 08 Sep 2023 12:11:13 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49192 Fri 05 May 2023 15:51:19 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30382 Fri 03 Dec 2021 10:34:10 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24091 50 years) and BMI category (25.0-29.9, 30.0-35.9, and 35.0-40 kg/m²) and individually randomized (1:1 ratio) to the intervention (n=53) or waitlist control groups (n=48). Intervention: The intervention group received the PULSE Program, which contained print and video resources on weight loss (Self-Help, Exercise and Diet using Internet Technology [SHED-IT] Weight Loss Program), diet modification, and exercise for Type 2 diabetes mellitus prevention. The waitlist control group received no information until 6 months. Main outcome measures: Data were collected from September 2012 to September 2013 and analyzed in 2014-2015. Linear mixed models (intention-to-treat) were used to determine group X time interactions (differences between groups in changes over time) at 6 months for the primary outcome (weight), glycated hemoglobin, and several secondary outcomes (significance level, p<0.05). Results: Differences between groups in mean changes from baseline to 6 months (group x time interaction) favored the intervention over control group for weight loss (-5.50 kg, 95% CI=-7.40 kg, -3.61 kg, p<0.001, Cohen's d=1.15), glycated hemoglobin (-0.2%, 95% CI=-0.3%, -0.1%, p=0.002, d=0.64), and BMI, waist circumference, body fat percentage, aerobic fitness, and lower body muscular fitness (all p<0.05). No group × time effects were observed for fasting plasma glucose, upper body muscular fitness, physical activity, or energy intake. Conclusions: The PULSE Program improved several Type 2 diabetes mellitus risk factors in men, including weight and glycated hemoglobin. These findings provide evidence for a self-administered and gender-tailored lifestyle intervention, which has potential for dissemination in community settings.]]> Fri 03 Dec 2021 10:33:45 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37431 Fri 03 Dec 2021 10:32:45 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49825 Fri 02 Jun 2023 16:24:40 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51361 Fri 01 Sep 2023 13:41:53 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51360 Fri 01 Sep 2023 13:41:32 AEST ]]>