https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51426 Wed 28 Feb 2024 16:12:57 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52466 Wed 28 Feb 2024 15:41:40 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45226 Wed 26 Oct 2022 15:49:16 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45047 n = 31 stroke survivors, n = 12 caregivers) were analysed using the Framework approach. Results: Observation participants differed in functional ability whereas stroke survivor interviewees were all ambulant. Six themes related to sedentary behaviour after stroke were generated: (1) sedentary behaviour levels and patterns after stroke; (2) the physical and social environment in the stroke service and in the home; (3) standing and movement capability after stroke; (4) emotion and motivation after stroke; (5) caregivers’ influence on, and role in influencing stroke survivors’ sedentary behaviour; and (6) intervening to reduce sedentary behaviour after stroke. Capability, opportunity and motivation were influenced by the impact of the stroke and caregivers’ inclination to support sedentary behaviour reduction. Stroke survivors reported being more sedentary than they were pre-stroke due to impaired balance and co-ordination, increased fatigue, and reduced confidence in mobilising. Caregivers inclination to support stroke survivors to reduce sedentary behaviour depended on factors including their willingness to withdraw from the caregiver role, and their perception of whether the stroke survivor would act on their encouragement. Conclusions: Many stroke survivors indicate being open to reducing sedentary behaviour, with appropriate support from stroke service staff and caregivers. The findings from this study have contributed to an intervention development process using the Behaviour Change Wheel (BCW) approach to develop strategies to reduce sedentary behaviour after stroke.]]> Wed 26 Oct 2022 11:37:18 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53344 Wed 22 Nov 2023 10:18:30 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24231 Wed 20 Jan 2021 17:26:24 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35966 Wed 17 Nov 2021 16:32:40 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40539 P < 0.0001); indicating that short birth interval was more concentrated among the poor. Decomposition analysis indicated that wealth quintiles (74.2%), administrative regions (26.4%), and not listening to the radio (5.6%) were the major contributors to the pro-poor socioeconomic inequalities in short birth interval. Conclusion: There was a pro-poor inequality of short birth interval in Ethiopia. Strengthening the implementation of poverty alleviation programs may improve the population’s socioeconomic status and reduce the associated inequality in short birth interval.]]> Wed 13 Mar 2024 19:10:34 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40530 Wed 13 Mar 2024 09:34:22 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39633 N = 1265) was undertaken using self-report data derived from a cross-sectional telephone survey of Australian adults, undertaken in 2017. Results: Fifteen per cent (n = 184) of participants identified as having a mental health condition in the past 12 months. Across most (7 of 8) sleep parameters, the prevalence of suboptimal sleep was higher among people with a mental health condition, compared to those without (all p < 0.05). The highest prevalence of suboptimal sleep for both groups was seen on measures of sleep duration (36–39% and 17–20% for people with and without a mental health condition, respectively). In terms of sleep assessment and treatment, people with a mental health condition were significantly more likely to: desire treatment (37% versus 16%), have been assessed (38% versus 12%) and have received treatment (30% versus 7%). Conclusions: The prevalence of suboptimal sleep among persons with a mental health condition in Australia is significantly higher than those without such a condition, and rates of assessment and treatment are low for both groups, but higher for people with a mental health condition. Population health interventions, including those delivered as part of routine health care, addressing suboptimal sleep are needed.]]> Wed 13 Mar 2024 08:54:45 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50943 Wed 13 Mar 2024 07:46:53 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50310 Wed 13 Mar 2024 07:46:46 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36124 Wed 12 Feb 2020 15:47:05 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36123 Wed 12 Feb 2020 15:26:21 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24179 Wed 11 Apr 2018 16:55:09 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28124 Wed 11 Apr 2018 16:36:34 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25910 Wed 11 Apr 2018 15:51:08 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25637 Wed 11 Apr 2018 15:50:24 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28333 Wed 11 Apr 2018 15:47:22 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26522 Wed 11 Apr 2018 15:30:22 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22891 Wed 11 Apr 2018 15:21:56 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22808 Wed 11 Apr 2018 15:09:14 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:16762 Wed 11 Apr 2018 15:04:57 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26354 Wed 11 Apr 2018 14:31:59 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26930 1 km. Ordinal logistic regression was used to assess associations of socio-demographic factors and neighbourhood social cohesion with distances adults would permit for children’s independent travel and outdoor play. Results: Parents and adults with lower education were less likely to permit greater distances for children’s independent travel (OR = 0.57 and OR = 0.59, respectively). Women, parents and adults with lower education were less likely to grant children greater distances for independent outdoor play (OR = 0.61, OR = 0.50 and OR = 0.60, respectively). In contrast, adults with higher perceptions of neighbourhood social cohesion were more likely to permit children greater distances for independent travel (OR = 1.05)and outdoor play (OR = 1.05). Adult age and area-level socio-economic disadvantage were not associated with distances adults would permit for independent travel and outdoor play. Conclusions: Women, parents (particularly those of younger children), adults with lower education and those who perceived neighbourhood social cohesion as being lower were less willing to let children independently travel further away from home. Interventions to increase children’s independent mobility may be more effective if targeted to these groups. In addition, increasing neighbourhood social cohesion may help increase adults’ willingness to grant children greater independent mobility.]]> Wed 11 Apr 2018 14:02:08 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:23344 Wed 11 Apr 2018 13:50:29 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15463 Wed 11 Apr 2018 13:43:44 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25219 Wed 11 Apr 2018 13:26:52 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24737 Wed 11 Apr 2018 13:15:52 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:23813 Wed 11 Apr 2018 13:08:22 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26202 Wed 11 Apr 2018 12:27:51 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27665 Wed 11 Apr 2018 12:19:59 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20857 Wed 11 Apr 2018 11:55:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22616 30 kg/m2) was significantly associated with the prevalence of knee (OR: 4.37; 95 % CI: 2.08,9.20) and hip (OR: 2.52; 95 % CI: 1.17,5.43) OA. Individuals who stand or walk a lot, but do not carry or lift things during their occupational activities were 2.0 times less likely to have hip OA (OR: 0.50; 95 % CI: 0.26,0.96). Individuals who usually lift or carry light loads or have to climb stairs or hills were 2.2 times less likely to have hip OA (OR: 0.45; 95 % CI: 0.21,0.95). The odds of having hip OA were 1.9 times lower in individuals consuming recommended or higher vitamin C intake (OR: 0.52; 95 % CI: 0.29,0.96). Significant differences in prevalence were found for both males and females across age categories. Conclusion: The prevalence of knee and hip OA obtained in this study is comparable to other studies. Females have greater knee OA prevalence and a greater proportion of women have mobility limitations as well as hip and knee pain; it is important to target this sub-group.]]> Wed 11 Apr 2018 11:28:25 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29918 Wed 11 Apr 2018 10:23:06 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:23024 Wed 11 Apr 2018 10:17:36 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29402 Wed 11 Apr 2018 10:13:01 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27943 Wed 11 Apr 2018 09:55:57 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22815 Wed 11 Apr 2018 09:51:58 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29961 Wed 11 Apr 2018 09:38:40 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24210 10 cigarettes per day (74 %), and highly nicotine dependent (51 %). A third (32 %) lived in a house in which smoking was permitted, and 44 % lived with other smokers. The majority of participants believed that significant others (68–82 %) and health care providers (80–91 %) would be supportive of their quitting smoking. Reflecting previous research, the smoking characteristics examined were variously associated with quitting behaviour and motivation. Additionally, participants not living with other smokers were more likely to have quit for a longer duration (OR 2.02), and those perceiving their psychiatrist to be supportive of a quit attempt were more likely to have had more quit attempts in the past six months (OR 2.83). Conclusions: Modifiable characteristics of the physical and social environment, and of smoking, should be considered in smoking cessation interventions for persons with a mental illness.]]> Wed 11 Apr 2018 09:31:29 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29080 n = 38). Inductive, thematic analysis was conducted using framework data management methods in NVivo10. Results: Five high-level themes were derived: the battle to access housing; secondary homelessness; overcrowding; poor dwelling conditions; and housing as a key determinant of health. Participants associated their challenging housing experiences with poor physical health and poor social and emotional wellbeing. Housing issues were said to affect people differently across the life course; participants expressed particular concern that poor housing was harming the health and developmental trajectories of many urban Aboriginal children. Conclusions: Housing was perceived as a pivotal determinant of health and wellbeing that either facilitates or hinders prospects for full and healthy lives. Many of the specific health concerns participants attributed to poor housing echo existing epidemiological research findings. These findings suggest that housing may be a key intervention point for improving the health of urban Aboriginal Australians.]]> Wed 11 Apr 2018 09:28:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30539 Wed 11 Apr 2018 09:23:58 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32807 Wed 10 Nov 2021 15:12:32 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36592 p = .02). Carers in the workforce were more likely to be engaging in inadequate physical activity (OR: 2.6, 95% CI: 1.2–5.7, p =  .02); and male participants were more likely to engage in harmful alcohol consumption (OR: 2.9, 95% CI: 1.1–7.9, p = .03). Working carers were approximately five times more likely to report interest in improving their alcohol consumption (OR: 5.1, 95% CI: 1.3–20.5, p = .02) compared to those not currently in the workforce. Conclusions: Results suggest high engagement in health risk behaviours among carers of people with a mental illness, particularly with regards to harmful alcohol consumption. Findings suggest a need to develop and implement chronic disease prevention strategies. Further research with larger representative samples is needed to confirm findings.]]> Wed 10 Jun 2020 14:16:43 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51140 Wed 07 Feb 2024 14:53:37 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29640 p < 0.001). The majority of knowledgeable participants (n = 3645) felt excessive temperature as the change of climate (83.2 %). Among all the respondents (n = 6720), 94.5 % perceived change in climate and extreme weather events. Most of them (91.9 %) observed change in rainfall patterns in the last 10 years, and 97.8 % people think their health care expenditure increased after the extreme weather events. Age, educational qualification, monthly income, and occupation were significantly associated with the knowledge about climate change (p < 0.001). People with higher educational level or who live near a school were more knowledgeable about CC and its impact on health. Conclusions: The knowledge level about CC in our study group was average but the perception and awareness of CC related events and its impact on health was high. The most influential factor leading to understanding of CC and its impact on health was education. School-based intervention could be explored to increase peoples’ knowledge about CC and necessary health adaptation at community level.]]> Wed 06 Apr 2022 14:04:05 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52169 Wed 04 Oct 2023 10:56:48 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30364 Wed 02 Oct 2019 10:33:34 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27026 Wed 02 Oct 2019 10:33:18 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:55418 10 cigarettes/day during pregnancy was associated with a nearly 6-fold increased risk of CD in the offspring (OR 5.78, 95% CI 1.70–17.3). Breastfeeding (OR = 0.18, 95% CI 0.08–0.44) and iron supplementation during the first year of life (OR = 0.43, 95% CI 0.21–0.89) were negatively associated with CD. Conclusions: Smoking during pregnancy was associated with the risk of CD while Breastfeeding and oral iron supplementation at infancy were negatively associated with the risk of CD later in life.]]> Tue 28 May 2024 10:02:51 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39872 a deliberate, iterative and data-driven process to improve a health intervention and/or its implementation to meet stakeholder-defined public health impacts within resource constraints. This study aimed to identify frameworks used to optimise the impact of health interventions and/or their implementation, and characterise the key concepts, steps or processes of identified frameworks. Methods: A scoping review of MEDLINE, CINAL, PsycINFO, and ProQuest Nursing & Allied Health Source databases was undertaken. Two reviewers independently coded the key concepts, steps or processes involved in each frameworks, and identified if it was a framework aimed to optimise interventions or their implementation. Two review authors then identified the common steps across included frameworks. Results: Twenty optimisation frameworks were identified. Eight frameworks were for optimising interventions, 11 for optimising implementation and one covered both intervention and implementation optimisation. The mean number of steps within the frameworks was six (range 3–9). Almost half (n = 8) could be classified as both linear and cyclic frameworks, indicating that some steps may occur multiple times in a single framework. Two meta- frameworks are proposed, one for intervention optimisation and one for implementation strategy optimisation. Steps for intervention optimisation are: Problem identification; Preparation; Theoretical/Literature base; Pilot/ Feasibility testing; Optimisation; Evaluation; and Long-term implementation. Steps for implementation strategy optimisation are: Problem identification; Collaborate; Plan/design; Pilot; Do/change; Study/evaluate/check; Act; Sustain/endure; and Disseminate/extend. Conclusions: This review provides a useful summary of the common steps followed to optimise a public health intervention or its implementation according to established frameworks. Further opportunities to study and/or validate such frameworks and their impact on improving outcomes exist.]]> Tue 28 Jun 2022 14:33:06 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:23643 Tue 28 Aug 2018 09:44:34 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51139 Tue 22 Aug 2023 15:58:19 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51129 Tue 22 Aug 2023 15:52:11 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36251 Tue 17 Mar 2020 16:09:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51395 Tue 13 Feb 2024 10:32:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39122 Tue 10 May 2022 17:28:34 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35837 Tue 10 Dec 2019 17:09:23 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30646 Tue 09 Jul 2019 11:29:02 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33641 Tue 03 Sep 2019 18:17:59 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33640 Tue 03 Sep 2019 17:57:31 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29606 n = 289/827) and 428 free-text comments were collected. The first motivational phase of the intervention was appreciated by 55% (158/289) of the participants. Most participants wanted to quit smoking immediately and only 124/289 (43%) agreed to have to decide a quit-date in the future. Most participants 199/289 (69%) found the content of the messages in the core programme to be very good or good, and the variability between content types was appreciated by 78% (224/289). Only 34% (97/289) of the participants thought that all or nearly all messages were valuable, and some mentioned that it was not really the content that mattered, but that the messages served as a reminder about the decision to quit smoking. Conclusions: The programme was largely perceived satisfactory in most aspects concerning structure and content by young people and most participants stated that they would recommend it to a friend who wants to quit smoking. The motivational phase might be worth shortening and the number of messages around the quit date itself reduced. Shorter messages seemed to be more acceptable.]]> Thu 31 May 2018 11:48:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35147 Thu 27 Jan 2022 15:55:21 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39714 Thu 23 Mar 2023 11:15:00 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51867  0.05) and hospital type (Δχ2 = 7.748, p > 0.05), but was inconsistent across hospital level (Δχ2 = 42.930, p < 0.05) and job type (Δχ2= 52.912, p < 0.05). Conclusions: Our results pointed out the important role that empathy plays in addressing burnout and revealed that managing job satisfaction and increasing the job commitment attenuated burnout. We recommend that the government should accelerate the reform of the resourcing of different hospital levels; facilitate hospital managers to implement additional training; and support hospitals to strengthen psychological testing and counseling to reduce medical staff burnout.]]> Thu 21 Sep 2023 10:25:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29470 Thu 21 Oct 2021 12:51:57 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36174 Thu 17 Mar 2022 14:40:43 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52204 Thu 05 Oct 2023 10:15:55 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36743 Thu 02 Jul 2020 16:38:45 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41346 Sat 29 Jul 2023 14:03:23 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24253 Sat 24 Mar 2018 07:15:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38209 Mon 29 Jan 2024 17:56:42 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53443 0.05). Conclusion:: The Run Daddy Run intervention was able to improve co-PA, MPA of fathers and LPA of children, and decreasing their SB. Inverse intervention effects were however found for MPA and VPA of children. These results are unique given their magnitude and clinical relevance. Targeting fathers together with their children might be a novel and potential intervention strategy to improve overall physical activity levels, however, further efforts should however be made to target children’s MPA and VPA. Last, replicating these findings in a randomized controlled trial (RCT) is recommended for future research. Trial registration number:: This study is registered as a clinical trial (clinicaltrials.gov, ID number: NCT04590755, date: 19/10/2020).]]> Mon 27 Nov 2023 11:53:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51977 Mon 25 Sep 2023 11:26:51 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44868 Mon 24 Oct 2022 11:16:33 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21232 Mon 23 Sep 2019 14:20:10 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32792 Mon 23 Sep 2019 13:00:21 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32215 Mon 23 Sep 2019 11:19:40 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32416 13 on K6 and completion rate (85%) was similar between these and other fathers. Most fathers (63.1%) clicked at least one link and responses were received for 20.5% of mood tracker questions. The probability of reporting worse mood scores decreased over time. Fathers completing post study surveys (N = 101) reported that messages helped them in their experience of becoming a new dad (92.8%), as well as helping them develop a strong relationship with their new child (54.9%), and in their relationship with their partner (79%). Conclusions: The present study has demonstrated that it is both feasible and acceptable to support new fathers with SMS4dads, a relationship-focused messaging system designed to be delivered to smartphones across fathers’ transition to parenthood.]]> Mon 23 Sep 2019 10:27:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35498 Mon 19 Aug 2019 12:04:34 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53038 Mon 13 Nov 2023 09:02:15 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38666 Mon 13 Dec 2021 15:52:23 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43018 Mon 12 Sep 2022 09:36:26 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44168 Mon 10 Oct 2022 10:13:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52337 Mon 09 Oct 2023 14:57:58 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39215 Fri 27 May 2022 11:16:33 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35696 Fri 25 Oct 2019 12:59:19 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35692 Fri 25 Oct 2019 12:24:25 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48636 Fri 24 Mar 2023 13:16:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54956 Fri 22 Mar 2024 15:28:41 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30593 Fri 22 Apr 2022 10:33:32 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32855 Fri 22 Apr 2022 10:25:42 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47229 Fri 16 Dec 2022 12:01:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51748 Fri 15 Sep 2023 18:22:08 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37038 Fri 07 Aug 2020 13:27:55 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52971 Fri 03 Nov 2023 15:31:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35237 Fri 03 Dec 2021 10:34:43 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32793 Fri 03 Dec 2021 10:33:25 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51363 Fri 01 Sep 2023 13:43:43 AEST ]]>