https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52050 1.1 million by 2058.2 The annual care costs are estimated to increase from $9.1 billion in 2017 to A$24.1 billion by 2056.3 Currently, there is a lack of a single valid and reliable data source for dementia identification. Welberry et al. recently demonstrated the feasibility of linking large population-based cohorts to administrative datasets to identify dementia cases at different stages of their trajectory.4 The Addressing Dementia Through Analysis of Population Traits and Risk Factors (ADAPTOR) project links data from a large Australian cohort study (followed up for 15 years) to various administrative health datasets. While the project links the same cohort study (the Sax Institute’s 45 And Up Study) and administrative datasets for dementia identification, it expands on Welberry et al.’s study by extending the data cut-off period from June 2014 to June 2018; including additional datasets and participants aged between 45–54 years; and stratifying data by sex and age group. The ADAPTOR project estimates dementia incidence, investigates the association between risk factors and incidence, and models the impact of modifiable risk factor reduction (e.g. increased physical activity, reduced alcohol consumption) on population-level dementia incidence. This paper presents preliminary findings from the project on sex and age-specific incidence of dementia and presents the most common data sources for dementia identification.]]> Wed 27 Sep 2023 15:29:45 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43181 40 000 participants. Included studies consistently reported an increased risk associated with greater numbers of intraindividual risk factors or unhealthy behaviours and the opposite for healthy or protective behaviours. A meta-analysis of studies with dementia outcomes resulted in a pooled relative risk for dementia of 1.20 (95% CI 1.04 to 1.39) for one risk factor, 1.65 (95% CI 1.40 to 1.94) for two and 2.21 (95% CI 1.78 to 2.73) for three or more, relative to no risk factors. Limitations include dependence on published results and variations in study outcome, cognitive assessment, length of follow-up and definition of risk factor exposure. Conclusions The strength of the reported associations, the consistency across studies and the suggestion of a dose response supports a need to keep modifiable risk factor exposure to a minimum and to avoid exposure to additional modifiable risks. Further research is needed to establish whether particular combinations of risk factors confer greater risk than others.]]> Wed 14 Sep 2022 08:23:22 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:12246 Wed 11 Apr 2018 09:53:10 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46676 Tue 29 Nov 2022 09:28:29 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46292 n = 51). Participants completed an online survey that consisted of fixed-responses and free-text components to assess their knowledge, attitudes and current practices relating to dementia risk factors and risk reduction techniques. The results showed that Australian primary healthcare providers have good knowledge about the modifiable risk factors for dementia; however, face several barriers to working with patients to reduce dementia risk. Commonly reported barriers included low patient motivation and healthcare system level limitations. The most commonly reported recommendations to helping primary healthcare providers to work with patients to reduce dementia risk included increasing resources and improving dementia awareness and messaging. While the results need to be interpreted in the context of the limitations of this study, we conclude that collaborative efforts between researchers, clinicians, policy makers and the media are needed to support the uptake of risk reduction activities in primary care settings.]]> Tue 15 Nov 2022 08:50:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38606 2 or a chronic health condition recruited from general practices was conducted. The arms included (1) BBL-GP, a web-based intervention augmented with an in-person diet and physical activity consultation; (2) a single clinician-led group, Lifestyle Modification Program (LMP); and (3) a web-based control. The primary outcome was the Australian National University Alzheimer Disease Risk Index Short Form (ANU-ADRI-SF). Results: Baseline assessments were conducted on 128 participants. A total of 125 participants were randomized to 3 groups (BBL-GP=42, LMP=41, and control=42). At immediate, week 18, week 36, and week 62 follow-ups, the completion rates were 43% (18/42), 57% (24/42), 48% (20/42), and 48% (20/42), respectively, for the BBL-GP group; 71% (29/41), 68% (28/41), 68% (28/41), and 51% (21/41), respectively, for the LMP group; and 62% (26/42), 69% (29/42), 60% (25/42), and 60% (25/42), respectively, for the control group. The primary outcome of the ANU-ADRI-SF score was lower for the BBL-GP group than the control group at all follow-ups. These comparisons were all significant at the 5% level for estimates adjusted for baseline differences (immediate: difference in means -3.86, 95% CI -6.81 to -0.90, P=.01; week 18: difference in means -4.05, 95% CI -6.81 to -1.28, P<.001; week 36: difference in means -4.99, 95% CI -8.04 to -1.94, P<.001; and week 62: difference in means -4.62, 95% CI -7.62 to -1.62, P<.001). Conclusions: A web-based multidomain dementia risk reduction program augmented with allied health consultations administered within the general practice context can reduce dementia risk exposure for at least 15 months. This study was limited by a small sample size, and replication on a larger sample with longer follow-up will strengthen the results.]]> Thu 18 Nov 2021 09:43:15 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7706 Sat 24 Mar 2018 10:47:56 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:11338 Sat 24 Mar 2018 08:13:29 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:12214 Sat 24 Mar 2018 08:12:06 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:12244 Sat 24 Mar 2018 08:08:09 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:19575 0 ≤2), “long-term risk” (>2 ≤4), or “short-term risk” (>4). Separate generalized estimating equations for men and women, controlling for key demographic, and health variables (depression, diabetes, circulatory and musculoskeletal conditions) were used to examine the relationship of alcohol consumption with hospitalization and falls against a reference category of low-risk consumption. Results: Most participants were in the low (10,369, 62%) or abstinent (5,488, 33%) categories. Among women, all alcohol groups had greater odds of admission than low-risk users; among men, only the abstinent group had increased odds. For both genders, depression, diabetes, circulatory and musculoskeletal conditions all increased the odds of admission. For both genders, the unadjusted model showed that abstainers had increased odds of falling, with depression, diabetes, and for women, musculoskeletal conditions also associated with falls in the adjusted model. Conclusion: These outcomes suggest that older women in particular could benefit from targeted alcohol consumption messages or interventions. In relation to falls, other health conditions appear better targets for intervention than alcohol use.]]> Sat 24 Mar 2018 07:58:19 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21647 Sat 24 Mar 2018 07:52:23 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29170 Sat 24 Mar 2018 07:35:45 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26739 Sat 24 Mar 2018 07:24:48 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26758 Sat 24 Mar 2018 07:24:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44903 Mon 24 Oct 2022 16:10:31 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47281 Fri 13 Jan 2023 10:24:38 AEDT ]]>