https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48699 Wed 29 Mar 2023 11:20:40 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41137 3 months), pain with palpation of the LHBT, and positive results on a combination of tests including active shoulder flexion, Speed’s, Hawkins Kennedy, Neer, and Yergason’s tests participated in this case series. Validated self-reported outcome measures including the mean numeric pain rating scale (NPRS) and Quick Disabilities of the Arm, Shoulder and Hand (QuickDASH) were taken at baseline. Participants were treated with two to eight sessions of DN to the LHBT and an ECE program and stretching of the biceps muscle. At discharge, patients completed the global rating of change (GROC), QuickDASH and NPRS. Results: Patients had an improved mean NPRS of 3.9 (SD, 1.3; p < 0.001), QuickDASH of 19.01% (SD, 10.8; p < 0.02) and GROC +5.4 (SD, 1.3). Conclusion: Findings from this case series suggest that DN and ECE may be beneficial for the management of patients with chronic LHBT tendinopathy. Further research on the efficacy of this novel treatment approach is warranted.]]> Wed 27 Jul 2022 12:48:25 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48591 Wed 22 Mar 2023 08:39:40 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48067 Wed 22 Feb 2023 15:49:05 AEDT ]]> https://nova.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://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48359 Wed 15 Mar 2023 11:41:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51654 Wed 13 Sep 2023 10:02:21 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52430 Wed 11 Oct 2023 12:12:51 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14731 Wed 11 Apr 2018 16:34:41 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29830 Wed 11 Apr 2018 15:24:32 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15971 Wed 11 Apr 2018 14:50:44 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:18513 Wed 11 Apr 2018 12:49:01 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:16732 Wed 11 Apr 2018 11:31:00 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14115 Wed 11 Apr 2018 10:47:10 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14732 Wed 11 Apr 2018 10:45:24 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41677 Wed 10 Aug 2022 14:12:21 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41668 n = 52; mean age 16.0 ± 1.0 years) from one club participated in this study. Functional Movement Screen scores, height, and mass were collected at the beginning of the preseason. Training, match exposure, and injury incidence data (non-contact match and training injuries with three levels of severity) were recorded for each individual athlete throughout the season. Linear and logistic regression analyses were conducted to investigate the association between Functional Movement Screen score (continuous score, ≤ 14 or > 14, and three subscores) and injury risk, whilst controlling for exposure time. The mean Functional Movement Screen score for the sample was 13.4 (95% CI: 11.0–14.0). A total of 72 non-contact injuries were recorded (incidence rate: 18.7 per 1000 exposure hours; 95% CI: 11.6–24.8). There were no statistically significant associations between non-contact injury and Functional Movement Screen score for any of the analyses conducted. Our results suggest that the Functional Movement Screen does not reflect non-contact injury risk in elite adolescent rugby league players. Further research should investigate whether a more sport-specific movement screen in the preseason can more effectively predict injury risk in this population.]]> Wed 10 Aug 2022 13:16:26 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41021 Wed 09 Nov 2022 10:08:13 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25917 Wed 08 Jan 2020 11:43:42 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:11848 Wed 08 Jan 2020 11:36:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14082 Wed 08 Jan 2020 11:36:42 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26846 Wed 08 Jan 2020 11:29:45 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31765 Wed 08 Jan 2020 11:29:45 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:12197 Wed 08 Jan 2020 11:29:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:13784 Wed 08 Jan 2020 11:29:43 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31406 Wed 08 Jan 2020 11:28:03 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:23592 Wed 08 Jan 2020 11:27:19 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29977 Wed 08 Jan 2020 11:25:59 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34516 Wed 08 Jan 2020 11:22:42 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33392 Wed 08 Jan 2020 10:26:43 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30407 Wed 05 Feb 2020 11:04:22 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48775 Wed 05 Apr 2023 14:02:54 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28386 n = 211, response rate 81%) supervising physiotherapy students from 10 universities across 5 states and territories in Australia. Results: Half (48%) of respondents had never heard of CPRs, and a further 25% had never used CPRs. Only 27% reported using CPRs, and of these half (51%) were rarely if ever teaching CPRs to students in the clinical setting. However most respondents (81%) believed CPRs assisted in the development of clinical reasoning skills and few (9%) were opposed to teaching CPRs to students. Users of CPRs were more likely to be male (p <. 0.001), have post-professional qualifications (p = 0.020), work in private practice (p <. 0.001), and work in the area of musculoskeletal physiotherapy (p <. 0.001) compared with non-users. The CPRs most commonly known, used and taught were the Ottawa Ankle Rule, the Ottawa Knee Rule, and Wells' Rule for Deep Vein Thrombosis. Conclusions: Students are unlikely to be learning about CPRs on clinical placement, as few clinical educators use them. Clinical educators will require training in CPRs and assistance in teaching them if students are to better learn about implementing CPRs in physiotherapy clinical practice.]]> Wed 04 Sep 2019 10:37:43 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33220 Wed 04 Sep 2019 09:55:38 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33375 Wed 04 Mar 2020 09:06:29 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35686 Wed 02 Sep 2020 15:53:28 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25741 Wed 02 Oct 2019 10:21:26 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54545 Tue 27 Feb 2024 20:40:18 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35547  1 year after surgery. Univariate elationships were identified for each predictor variable, then significant variables (P > 0.15) were entered into a multivariate logistic regression model to identify the most parsimonious group of predictor variables for each chronic opioid use classification. Likelihood ratios were derived from the most robust groups of variables. Results: There were 1642 participants (mean age 32.5 years, SD 8.2, 54.1% male). Nine predictor variables met the criteria after bivariate analysis for potential inclusion in each multivariate model. Eight variables: socioeconomic status (from enlisted rank family), prior use of opioid medication, prior use of non-opioid pain medication, high health-seeking behavior before surgery, a preoperative diagnosis of insomnia, mental health disorder, or substance abuse were all predictive of chronic opioid use in the final model (seven variables for three or more opioid prescriptions; four variables for opioid use still at 1 year; all< 0.05). Post-test probability of having three or more opioid prescriptions was 93.7% if five of seven variables were present, and the probability of still using opioids after 1 year was 69.6% if three of four variables were present. Conclusion: A combination of variables significantly predicted chronic opioid use in this cohort. Most of these variables were mediators, indicating that modifying them may be feasible, and the potential focus of interventions to decrease the risk of chronic opioid use, or at minimum better inform opioid prescribing decisions. This clinical prediction rule needs further validation.]]> Tue 27 Aug 2019 12:14:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46420 Tue 22 Nov 2022 15:53:35 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54392 Tue 20 Feb 2024 21:05:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46299 n = 1746; 2.0%); however, these individuals had almost twice the mean costs of knee-related medical care ($1557 versus %802) and medical visits (8.4 versus 4.0). Patients with prior opioid use were more likely to have at least 1 recurrent episode of knee pain (relative risk 1.58, 95% CI 1.51, 1.65) with a higher mean number of episodes of knee pain (1.5 vs 1.8). The use of opioids with higher risk of misuse or dependency (Schedule II or III) resulted in greater medical costs (for any reason) and recurrent episodes of knee pain compared to the use of opioids in a lower risk category (Schedule IV). Conclusions: Prior opioid utilization was associated with a greater number of recurrent episodes of knee pain and higher downstream medical costs compared with individuals without prior opioid use. For individuals with prior opioid utilization, opioids with higher risk of misuse or dependency (Schedule II or III) resulted in greater medical costs (for any reason) and recurrent episodes compared to the use of lower-risk opioids (Schedule IV).]]> Tue 15 Nov 2022 15:44:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52772 Tue 14 Nov 2023 14:43:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48296 Tue 14 Mar 2023 12:07:36 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48287 Tue 14 Mar 2023 11:12:00 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33187 Tue 11 Sep 2018 12:49:57 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21499 Tue 10 Nov 2015 11:59:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37660 Tue 09 Mar 2021 17:59:03 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33546 Tue 03 Sep 2019 18:01:10 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45359 Thu 27 Oct 2022 15:30:09 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49459 Thu 18 May 2023 12:40:15 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33221 Thu 13 Sep 2018 13:57:02 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35130 98%) compared with supervised ANNs. AlexNet demonstrated the highest accuracy (99.55%) with negligible false classifications. The results indicate that sEMG quality evaluation can be automated via an ANN without compromising human-like classification accuracy. This classifier will be publicly available and will be a valuable tool for researchers and clinicians using electromyography.]]> Thu 02 Apr 2020 15:47:43 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42683 Thu 01 Sep 2022 08:45:30 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49211 Sun 07 May 2023 09:30:18 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:12330 Sat 24 Mar 2018 10:36:50 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14490 Sat 24 Mar 2018 08:21:41 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:11424 Sat 24 Mar 2018 08:13:01 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:10826 Sat 24 Mar 2018 08:12:50 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:10829 Sat 24 Mar 2018 08:12:50 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:19165 Sat 24 Mar 2018 07:52:18 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21536 P < 0.001). Increased practice improved performance, with the greatest accuracy after feedback at Session 3 (median 7.0, IQR 3.5–11.9, P < 0.01). Retention however was poor, with performance at follow-up sessions no different to baseline. Conclusions: Students apply more consistent and accurate mean peak force, force amplitude and oscillation frequency after practising with objective, concurrent feedback. Additional practice sessions further improve performance, however retention is poor.]]> Sat 24 Mar 2018 07:50:23 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26877 Sat 24 Mar 2018 07:41:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27316 Sat 24 Mar 2018 07:38:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27317 Sat 24 Mar 2018 07:38:38 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26792 once/day]), the Dizziness Handicap Inventory (DHI), pain intensity, head repositioning accuracy (HRA), cervical spine ROM, balance, and global perceived effect (GPE). At 12 months both manual therapy groups had less dizziness frequency (mean difference SNAGs vs placebo-0.7, 95% confidence interval (CI)-1.3,-0.2, p=0.01; PJMs vs placebo-0.7,-1.2,-0.1, p=0.02), lower DHI scores (mean difference SNAGs vs placebo-8.9, 95% CI-16.3,-1.6, p=0.02; PJMs vs placebo-13.6,-20.8,-6.4, p<0.001) and higher GPE compared to placebo, whereas there were no between-group differences in dizziness intensity, pain intensity or HRA. There was greater ROM in all six directions for the SNAG group and in four directions for the PJM group compared to placebo, and small improvements in balance for the SNAG group compared to placebo. There were no adverse effects. These results provide evidence that both forms of manual therapy have long-term beneficial effects in the treatment of chronic cervicogenic dizziness.]]> Sat 24 Mar 2018 07:36:29 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26600 Sat 24 Mar 2018 07:33:59 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25699 Sat 24 Mar 2018 07:28:20 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26977 .05) with pain intensity or level of disability. Conclusion: These preliminary results suggest that cervical spine stiffness may be greater in the presence of nonspecific neck pain. However, judgments regarding pain intensity and level of disability should not be inferred from examinations of spinal joint stiffness.]]> Sat 24 Mar 2018 07:26:58 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22252 Sat 24 Mar 2018 07:17:36 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25054 Sat 24 Mar 2018 07:10:43 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24001 Sat 24 Mar 2018 07:10:21 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44771 Mon 24 Oct 2022 09:03:48 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38749 Mon 24 Jan 2022 09:39:02 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47529 Mon 23 Jan 2023 12:23:03 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47508 Mon 23 Jan 2023 12:08:38 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49533 Mon 22 May 2023 08:38:29 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53896 Mon 22 Jan 2024 14:56:34 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42376 Mon 22 Aug 2022 14:29:29 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46412 3 months. Differences between kinematic variables were determined using one-way repeated measures ANOVA with Bonferroni post-hoc tests. RESULTS: Compared to the desktop (sitting), tablet and laptop use resulted in increased neck flexion (mean difference tablet - 14.42°, 95% CI - 19.88, -8.96, P < 0.001; laptop -7.19°, -12.08, -2.31, P = .020); upper trunk flexion (tablet -14.89°, -20.22, -9.56, P < 0.001; laptop -5.56°, -10.02, -1.09, P = .009) and tablet bilateral shoulder elevation (left 11.01 mm, 2.01, 20.04, P < .016; right 13.08 mm, 3.09, 23.11, P < .006). Conclusions: Tablet and laptop use resulted in greater neck flexion, bilateral shoulder elevation and upper trunk flexion compared to a standard desktop computer, suggesting individuals with chronic neck pain should be mindful of their posture when using these smaller devices. Future research should explore how differences in posture may influence neck pain.]]> Mon 21 Nov 2022 14:12:56 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49437 Mon 15 May 2023 13:51:09 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:55068 Mon 08 Apr 2024 13:20:52 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36799 Mon 06 Jul 2020 17:00:42 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52810  3 months and age- and sex-matched asymptomatic controls, muscle volumes of levator scapulae, multifidus including semispinalis cervicis (MFSS), semispinalis capitis, splenius capitis including splenius cervicis (SCSC), sternocleidomastoid and longus colli from C3 through T1 were quantified from magnetic resonance imaging. Between-group differences were determined using linear mixed models, accounting for side (left or right), muscle, spinal level, sex, age, and body mass index (BMI). Individuals with pain had greater muscle volume (mean difference 76.8mm3; 95% CI 26.6–127.0; p = .003) and MFI (2.3%; 0.2–4.5; p = .034) of the MFSS compared to matched controls with no differences in relative volume, accounting for factors associated with the outcomes: muscle, spinal level, side (left had smaller volume, relative volume and MFI than right), sex (females had less volume and relative volume than males), age (older age associated with less relative volume and greater MFI), and BMI (higher BMI associated with greater muscle volume and MFI). Greater MFI in individuals with chronic idiopathic neck pain suggests a possible underlying mechanism contributing to neck pain. Perspective: These findings suggest MFI in the MFSS may be radiologic sign, potentially identifying patients with a less favourable prognosis. Future studies are needed to confirm this finding and determine if MFI is a contributor to the development or persistence of neck pain, or consequence of neck pain.]]> Fri 27 Oct 2023 15:44:23 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39253 Fri 27 May 2022 15:49:21 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35706 Fri 25 Oct 2019 15:05:18 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48639 19 (OR 2.48; 95% CI 1.44, 4.28), previous running injury (OR 1.95; 95% CI 1.31, 2.91), vaginal delivery (OR 1.63; 95% CI 1.06, 2.50), incontinence (OR 1.95; 95% CI 1.31, 2.84) and <6.8 hours of sleep on average per night (OR 1.89; 95% CI 1.28, 2.78). Having ≥ 4 risk factors increased the probability of having running-related pain to 61.2%. Conclusion: The results of this study provide a deeper understanding of the risk factors for running-related pain in postpartum runners. With this information, clinicians can monitor and educate postpartum runners initiating or returning to running. Education could include details of risk factors, combinations of factors for pain and strategies to mitigate risks. Coaches can adapt running workload accounting for fatigue and sleep fluctuations to optimize recovery and performance. Future longitudinal studies that follow asymptomatic postpartum women returning to running after childbirth over time should be performed to validate these findings.]]> Fri 24 Mar 2023 13:23:41 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41098 Fri 22 Jul 2022 18:14:15 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41069 Fri 22 Jul 2022 16:57:26 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36203 Fri 21 Oct 2022 11:37:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49517 Fri 19 May 2023 17:45:14 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49504 Fri 19 May 2023 13:54:20 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42232 Fri 19 Aug 2022 11:42:25 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42189 Fri 19 Aug 2022 10:11:14 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47244 Fri 16 Dec 2022 12:23:04 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51752 90 days (Cases n = 22) and without pain (Control n = 22), during a typing task under four conditions: tablet, laptop, desktop computer (sitting and standing). Differences between groups were evaluated using generalised linear mixed models. Results: Across all conditions and compared to controls, cases had significantly less flexion between their head-neck and upper trunk segments (between group mean difference 7.15°, 2.1, 12.2, p = .006), greater upper trunk flexion relative to the laboratory (−6.15°, −10.9, −1.3, p = .012), greater shoulder flexion bilaterally (left 12.35°, 6.7, 17.9, p < .001; right 13.49°, 7.9, 19.1, p < .001) and less right elbow flexion (−6.87°, −12.1, −1.7, p = .010). Approaching significance, the case group had less left elbow flexion (between group mean difference −5.36°, −10.9, 0.1, p = .056) and a smaller mean craniocervical angle for the seated desktop condition (group x condition interaction −6.37°; 95% CI −12.7, −0.1, p = .052). Significance: Individuals with neck pain consistently used different upper body postures compared to individuals without pain when working on computerised devices under varying workstation conditions. This finding suggests that people with neck pain work in potentially aggravating postures that may be associated with their pain.]]> Fri 15 Sep 2023 18:22:54 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51733 Fri 15 Sep 2023 18:00:36 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40570 1.00 and inspection of a loading plot. Items with loadings ≥0.40 were considered satisfactory for inclusion in a factor. Results: All cervical sensorimotor control tests were found to measure unique skills. Four factors were isolated with two, postural balance and head steadiness, accounting for most of the variance across tests. The remaining two factors, continuous movement accuracy and perceived verticality, contributed less to the observed variance. Conclusion: Postural balance and head steadiness were the major underlying factors explaining cervical sensorimotor control in the current sample. However, our results imply that all seven tests are independent and measure different skills. It is not possible to recommend a test battery for clinical practice, as all tests measure unique skills which appear to be independent of each other.]]> Fri 15 Jul 2022 09:22:12 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38217 Fri 13 Aug 2021 15:20:46 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50750 Fri 04 Aug 2023 11:07:07 AEST ]]>