https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45105 Wed 26 Oct 2022 13:21:01 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38348 Wed 24 May 2023 12:55:56 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52706 Wed 20 Mar 2024 14:49:32 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51034 Wed 16 Aug 2023 10:16:36 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49321 Wed 13 Mar 2024 08:52:20 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33196 Wed 12 Sep 2018 11:28:03 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:19724 Wed 11 Apr 2018 14:56:19 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15470 Wed 11 Apr 2018 12:20:10 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15598 Wed 11 Apr 2018 10:37:55 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15804 Wed 11 Apr 2018 10:26:11 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46024 Wed 09 Nov 2022 15:40:29 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28068 Wed 09 Mar 2022 16:02:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35626 78.2 mg/day) and vegetable nitrate intakes (Q4 > 64.4 mg/day) were 25% and 27% reduced risk of developing CVD-related complications respectively, compared with women reporting low total (Q1 < 45.5 mg/day) and vegetable nitrate intakes (Q1 < 34.8 mg/day). Our findings were consistent with other observational data indicating that dietary nitrate may explain some of the cardiovascular benefits of vegetable consumption.]]> Wed 06 Apr 2022 14:00:54 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44309 Tue 11 Oct 2022 16:12:27 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44293 Tue 11 Oct 2022 15:51:37 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41147 Thu 28 Jul 2022 09:06:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45390 Thu 27 Oct 2022 15:02:21 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46445 Thu 24 Nov 2022 14:11:59 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49380 Thu 22 Feb 2024 14:17:32 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39908 Thu 14 Jul 2022 12:27:50 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30690 Thu 14 Apr 2022 10:58:31 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25790 Thu 13 Jan 2022 10:30:56 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53804 Thu 04 Apr 2024 15:51:21 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51595 Thu 04 Apr 2024 15:00:48 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24468 Thu 03 Feb 2022 12:20:58 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21575 Sat 24 Mar 2018 08:00:42 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20030 Sat 24 Mar 2018 07:50:54 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26835 Sat 24 Mar 2018 07:41:38 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27869 Sat 24 Mar 2018 07:41:10 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29689 P <.001), adjusted for time, health, and social covariates in the model with no time lag. UI was also associated with social dysfunction measured one survey period later (forward time lag) (odds ratio (OR) = 1.23, 95% confidence interval (CI) = 1.13-1.34) and one survey period earlier (reverse time lag) (OR = 1.30, 95% CI = 1.19-1.43), indicating an absence of causality. Social dysfunction was associated with living in urban areas, more health conditions, poor mental health, providing care for other people, and poor physical function. Conclusion: UI was associated with social dysfunction in older women, although the association did not appear to be causal but reflective of the women's overall level of function and general health. UI is not necessarily socially debilitating, unless a woman has other health problems.]]> Sat 24 Mar 2018 07:38:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38996 n 5324), without CVD, hypertension and diabetes at baseline (2001), with complete FFQ data. Results: There were 1342 new cases of hypertension and 629 new cases of non-fatal CVD over 15 years of follow-up. Multivariate analysis indicated that women reporting better adherence to the ARFS (≥38/74) had 15 % (95 % CI 1, 28 %; P = 0·05) lower odds of hypertension and 46 % (95 % CI 6, 66 %; P = 0·1) lower odds of non-fatal CVD. Women reporting better adherence to the MDS (≥8/17) had 27 % (95 % CI 15, 47 %; P = 0·0006) lower odds of hypertension and 30 % (95 % CI 2, 50 %; P = 0·03) lower odds of non-fatal CVD. Conclusions: Better adherence to diet quality scores is associated with lower risk of hypertension and non-fatal CVD. These results support the need for updated evidenced based on the ADG as well as public health nutrition policies in Australia.]]> Mon 29 Jan 2024 17:54:29 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44740 Mon 24 Oct 2022 08:35:45 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43419 Mon 19 Sep 2022 08:32:03 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38223 Mon 16 Aug 2021 15:49:56 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46241 N = 1432 women diagnosed with AF from 2000 to 2015 of the old cohort (born 1921–26) of the Australian Longitudinal Study on Women’s Health (ALSWH) who remained alive for at least 12 months post first recorded AF diagnosis. Self-reported data on demographics, health behaviours, health conditions, and SF-36 were obtained from the ALSWH surveys, corresponding to within three years of the date of the first record of AF diagnosis. Linked Pharmaceutical Benefits Scheme (PBS) data determined the use of oral anticoagulants and comorbid conditions, included in CHA₂DS₂-VA (Congestive heart failure, Hypertension, Age ≥ 75 years, Diabetes, Stroke or TIA, Vascular disease and Age 65–74 years) score calculation, were assessed using state-based hospital admissions data. Utility scores were calculated for every woman from their SF-36 responses using the SF-6D algorithm with Australian population norms. Mean utility scores were then calculated for women with various demographic, health behaviours, and clinical characteristics. Ordinary Least Square (OLS) regression modelling was performed to determine factors associated with these utility scores. Two different scenarios were used for the analysis: (1) complete-case, for women with complete data on all the SF-36 items required to estimate SF-6D (N = 584 women), and (2) Multiple Imputation (MI) for missing data, applied to missing values on SF-36 items (N = 1432 women). MI scenario was included to gauge the potential bias when using complete data only. Results: The mean health utility was estimated to be 0.638 ± 0.119 for the complete dataset and 0.642 ± 0.120 for the dataset where missing values were handled using MI. Using the MI technique, living in regional and remote areas (β=0.016±0.007) and the use of oral anticoagulants (β=0.021±0.007) were positively associated with health utility compared to living in major cities and no use of anticoagulants, respectively. Difficulty to manage on available income (β=−0.027±0.009), no/low physical activity (β=−0.069±0.011), disability (β=−0.097±0.008), history of stroke (β=−0.025±0.013) and history of arthritis (β=−0.024±0.007) were negatively associated with health utility. Conclusion: This study presents health utility estimates for older women with AF. These estimates can be used in future clinical and economic research. The study also highlights better health utilities for women living in regional and remote areas, which requires further exploration.]]> Mon 14 Nov 2022 13:17:50 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44215 85% for most of the latent statuses. All factors but diabetes mellitus among the CHA2DS2-VA scoring scheme were independently associated with latent status membership at the time of AF diagnosis. Conclusions: Evaluation of pharmacological treatment indicates that prevention of thromboembolism is inadequate among women with AF. There exists wide variations in medication patterns. However, once in a particular pattern, women are likely to continue the same medications long-term. This underscores the importance of initial assessment of patient profile and stroke risk score in determining the treatment for AF. Failure to assess risk makes women susceptible to devastating AF complications.]]> Mon 10 Oct 2022 16:52:36 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36202 Mon 02 Mar 2020 12:36:37 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45461 Fri 28 Oct 2022 14:37:28 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30692 Fri 22 Apr 2022 10:20:31 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40153 Fri 15 Jul 2022 09:57:22 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47368 Fri 13 Jan 2023 15:04:37 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38491 Fri 12 Nov 2021 12:50:35 AEDT ]]>