https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Verifying Head Impacts Recorded by a Wearable Sensor using Video Footage in Rugby League: a Preliminary Study https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43693 M = 76.1 g, SD = 17.0) than impacts that did not result in a concussion (M = 34.2g, SD = 18.0; Cohen’s d = 2.4). Conclusions: The vast majority (94%) of impacts ≥ 20 g captured by the x-patch™ sensor were video verified in semi-professional rugby league games. The use of a secondary source of information to verify impact events recorded by wearable sensors is beneficial in clarifying game events and exposure levels.]]> Wed 28 Sep 2022 09:34:05 AEST ]]> The M.A.D.E (Mothers and Daughters Exercising) 4 Life pilot randomised control trial: a theory-based, physical activity intervention targeting mothers and their daughters https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22452 Wed 11 Apr 2018 16:40:02 AEST ]]> Maternal correlates of objectively measured physical activity in girls https://nova.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 ]]> The validation of a self-report measure and physical activity of Australian Aboriginal and Torres Strait Islander and non-Indigenous rural children https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:10560 Wed 11 Apr 2018 16:11:16 AEST ]]> Using deep learning to assess eating behaviours with wrist-worn inertial sensors https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40792 Wed 06 Mar 2024 15:18:41 AEDT ]]> Testing social-cognitive theory to explain physical activity change in adolescent girls from low-income communities https://nova.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 ]]> Methodological considerations and impact of school-based interventions on objectively measured physical activity in adolescents: a systematic review and meta-analysis https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31354 Wed 04 Sep 2019 09:49:34 AEST ]]> Impact of a web-based personally tailored physical activity intervention on depression, anxiety, stress and quality of life: Secondary outcomes from a randomized controlled trial https://nova.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 ]]> OREBA: a dataset for objectively recognizing eating behavior and associated intake https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38697 Thu 13 Jan 2022 14:41:12 AEDT ]]> Associations between children's active travel and levels of physical activity and sedentary behavior https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28422 b=0.18, p=0.01) but not with their sedentary behavior, light or total physical activity. Active travel modes to school were not associated with children's sedentary behavior or physical activity across intensities. No statistically significant differences by sex were detected in the observed associations. However, the positive association between active travel modes to non-school destinations and moderate-to-vigorous physical activity neared statistical significance in boys (b=0.15, p=0.07) but not in girls. Conclusions: Active travel was positively associated with children's physical activity but not their sedentary behavior levels. Active travel to non-school destinations may have more potential to increase children's moderate-to-vigorous physical activity levels, than active travel to school.]]> Sat 24 Mar 2018 07:29:05 AEDT ]]> A monitoring system to provide feedback on student physical activity during physical education lessons https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36638 Mon 29 Aug 2022 13:38:28 AEST ]]> Video Analysis and Verification of Direct Head Impacts Recorded by Wearable Sensors in Junior Rugby League Players https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48688 Mon 27 Mar 2023 15:56:46 AEDT ]]> Validity and responsiveness to change of the Active Australia Survey according to gender, age, BMI, education, and physical activity level and awareness https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35696 Fri 25 Oct 2019 12:59:19 AEDT ]]> Assessing eating behaviour using upper limb mounted motion sensors: a systematic review https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35694 Fri 25 Oct 2019 12:31:21 AEDT ]]> Best practice guidelines for the measurement of physical activity levels in stroke survivors: a secondary analysis of an observational study. https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42987 Fri 09 Sep 2022 13:56:21 AEST ]]> Motor skill competence and moderate- and vigorous-intensity physical activity: a linear and non-linear cross-sectional analysis of eight pooled trials https://nova.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 ]]> Deep learning for intake gesture detection from wrist-worn inertial sensors: the effects of data preprocessing, sensor modalities, and sensor positions https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39083 1=.778 ). As for data preprocessing, results show that applying a consecutive combination of mirroring, removing gravity effect, and standardization was beneficial for model performance, while smoothing had adverse effects. We further investigate the effectiveness of using different combinations of sensor modalities (i.e., accelerometer and/or gyroscope) and sensor positions (i.e., dominant intake hand and/or non-dominant intake hand).]]> Fri 06 May 2022 15:21:38 AEST ]]>