https://nova.newcastle.edu.au/vital/access/manager/Index en-au 5 https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:52384 Wed 28 Feb 2024 15:35:45 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:52331 Wed 28 Feb 2024 15:00:27 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:26529 95%) in the prevalence of CVD risk factors, we presented median and interquartile range (IQR) instead of the pooled estimates as the summary measures. Median (IQR) prevalence of T2DM, HTN, dyslipidemia and smoking were 5.9% (1.97%-8.25%); 15.1% (10.52%-17.60%); 34.35% (10.66%-48.50%) and 40.56% (0.80%-55.95%), respectively. The prevalence of T2DM and dyslipidemia were significantly higher in urban compared to rural populations (13.5 vs 6%, p<0.001; 41.5 vs 30%, p = 0.007, respectively). Conclusions: The prevalence of risk factors for CVDs is high in Bangladesh, more so in urban areas. Ageing of the population may be a factor but urbanization seems to have an influence, possibly related to changes in dietary and physical activity patterns. Further research, in particular longitudinal studies, is needed to explore the complex interaction of these factors and to inform policies and programs for the prevention and management of CVDs in Bangladesh.]]> Wed 23 Feb 2022 16:05:17 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:25616 Wed 17 Nov 2021 16:28:15 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:7607 Wed 11 Apr 2018 15:15:09 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:21951 Wed 11 Apr 2018 12:43:09 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:36984 Wed 10 Nov 2021 15:12:25 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:38912 Wed 02 Mar 2022 14:54:19 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:46991 Tue 04 Apr 2023 19:29:34 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:34997 Tue 03 Sep 2019 18:01:15 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:54919 Thu 21 Mar 2024 13:13:19 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:33831 1/2, 2 hr).To address the problem, we first prepared nifedipine loaded sustained release microsponges and then formulated tablets for effective clinical application and patient compliance.Preparations of microsponges were carried out using different compositions of nifedipine and polymer (1:1, 1:2 and 1:3 % molar ratio) using emulsion solvent diffusion technique.The microsponges with molar ratio 1:3 (formulation code: MF-3) found optimized as revealed by analyzing surface morphology, better powder flow properties (angle of repose; 28.80 ± 0.9, Hausner ratio 1.15 ± 0.2, % compressibility 15.28 ± 0.5% and higher % drug content (80 ± 1.9 %). Different batches of tablets were then formulated incorporating MF-3 microsponges and different proportions (10-50 %) of microcrystalline cellulose and starch as additives. Among tablet formulations, batch composed of 48% of MF-3, 30% of MCC, 20 % of starch and 2 % of talc (TF-33), showed 92.73 ± 2.19 % drug release during 24 hr in vitro release study in comparison to other batches including commercial formulation which was found to be released completely in 20 hr. Further, stability analysis revealed good drug retention of loaded nifedipine as well as consistent in vitro release pattern over a period of 90 days at 40°C and 75% RH.The microsponge tablet delivery system was found to be superior concerning the therapeutic advantage as well as manufacturing feasibility of nifedipine.]]> Thu 17 Jan 2019 13:57:55 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:39860 i.e., new cohort added every cycle) and static (i.e., population was stabilized) approaches were used to measure the CVD burden, with sensitivity analyses examining the robustness of results. Results: The dynamic model showed the total CVD burden caused by PTD as AUD11.4 billion for the next 50 years and the YLL as 0.34/capita, while the static model generated a cost of AUD4.5 billion and the YLL as 0.52/capita. Long-term management cost was the primary cost determinant (AUD9.4 billion and AUD3.7 billion, respectively) in the two models, with the results most sensitive to the discount rate and time horizon. Conclusions: Considering the substantial economic burden, recognizing PTD as a potential risk factor and encouraging women with PTD histories to participate in primary prevention programs would potentially curb the ever-increasing CVD burden.]]> Thu 14 Jul 2022 12:22:13 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:35820 30 and >60 min (p = 0.001 and p = 0.004, respectively). Regression models explained 11-19% of the variance in total sedentary time and time in prolonged sedentary bouts. Conclusion: We found that variability in sedentary time of people with stroke was largely unaccounted for by demographic and stroke-related variables. Behavioral and environmental factors are likely to play an important role in sedentary behavior after stroke. Further work is required to develop and test effective interventions to address sedentary behavior after stroke.]]> Thu 13 Jan 2022 10:29:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:38194 Thu 12 Aug 2021 09:04:52 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:1947 Sat 24 Mar 2018 08:33:19 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:17403 Sat 24 Mar 2018 08:01:28 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:26597 Sat 24 Mar 2018 07:34:00 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:22553 Sat 24 Mar 2018 07:14:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:52516 Mon 16 Oct 2023 10:38:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:40264 Mon 08 Aug 2022 13:40:25 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:25323 64 years). Conclusions: Individual-level data are important for quantifying socioeconomic variation in CVD incidence, which is shown to be substantial among both those with and without prior CVD. Findings reinforce the opportunity for, and importance of, primary and secondary prevention and treatment in reducing socioeconomic variation in CVD and consequently the overall burden of CVD morbidity and mortality in Australia.]]> Fri 22 Apr 2022 10:26:20 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:55577 Fri 07 Jun 2024 11:31:55 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:34723 Fri 03 Dec 2021 10:32:55 AEDT ]]>