https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33645 Wed 24 Nov 2021 15:51:52 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44388 Wed 12 Oct 2022 11:27:40 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21011 92 to >95 % for all outcomes. Conclusions: The present study offers a high degree of confidence in the use of maternal self-reports of the perinatal outcomes gestational hypertension, gestational diabetes, preterm birth and low birth weight in epidemiological research, particularly when reported on a per child basis. Furthermore self-report offers a cost-effective and convenient method for gathering detailed maternal perinatal histories.]]> Wed 11 Apr 2018 15:53:08 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16814 Wed 11 Apr 2018 13:49:13 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14767 Wed 11 Apr 2018 10:55:28 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25873 Wed 11 Apr 2018 10:02:25 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:18845 Wed 11 Apr 2018 09:50:44 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30011 Wed 09 Feb 2022 15:54:28 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36622 Tue 23 Jun 2020 10:21:30 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33225 Thu 24 Aug 2023 09:38:08 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51871 Thu 21 Sep 2023 10:24:14 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38506 Thu 18 Nov 2021 10:12:42 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34527 Thu 17 Feb 2022 09:27:02 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49343 Thu 11 May 2023 15:52:18 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15353 Sat 24 Mar 2018 08:25:43 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:18828 Sat 24 Mar 2018 08:03:17 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20259 Sat 24 Mar 2018 07:59:57 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26135 Sat 24 Mar 2018 07:35:27 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25716 Sat 24 Mar 2018 07:33:27 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27255 Sat 24 Mar 2018 07:29:12 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39018 2DS₂-VA scheme, were calculated. Factors associated with AF were assessed using logistic regression. Results: From 2000 to 2015, a total of 1827 women with AF were identified. AF prevalence increased every year as women aged from 2.71% (95% CI 1.62%–3.80%) in 2000 among women aged 74–79 years to 24.83% (95% CI = 23.23%–26.44%) in 2015 among women aged 89–94 years. The incidence proportion remained constant (between 3% and 5%) throughout the study period. Sedentary lifestyle (OR = 1.24, 95% CI = 1.04–1.49), hypertension (OR = 1.24, 95% CI = 1.09–1.42), arthritis (OR = 1.24, 95% CI = 1.09–1.41), heart attack (OR = 1.62, 95% CI = 1.18–2.24), and angina (OR = 1.39, 95% CI = 1.14–1.70) were independently associated with AF. Mean CHA₂DS₂-VA score for women with AF was 3.43 (SD ± 1.23). Conclusions: The prevalence of AF reported in Australian women is among the highest compared to previous estimations from other countries and regions. According to the findings, about one in four women over the age of 90 years had AF. These women were also at high risk of stroke. This has significant public health implications especially with changing demographics of increase in the aging population. Further research is required on understanding how women with AF are treated in Australia and their health outcomes.]]> Mon 29 Jan 2024 17:43:06 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32818 Mon 23 Sep 2019 10:50:33 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42183 Fri 26 Aug 2022 08:20:55 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42180 n = 13,715). Consistency of self-reported IPV was evaluated by responses to the question “Have you ever been in a violent relationship with a partner/spouse?” Demographic and health characteristics of consistent and inconsistent reporters of IPV were compared. Multinomial logistic regression was used to determine the strength of the association between demographic and health characteristics of the women and their consistency of longitudinal reporting of IPV. Results: There were 10,966 women who answered IPV questions over six surveys, with 9610 women (87.6%) providing consistent responses. Inconsistent responses were provided by 1356 women (12.4%), of whom 258 (2.4%) reported IPV at all but one survey (Mainly IPV), 587 (5.3%) reported no IPV at all but one survey (Mainly no IPV), and 511 (4.7%) reported Mixed IPV responses over time. Women in the Mainly IPV group, and those in the Mixed IPV group were similar to those in the Consistent IPV group in demographic and health characteristics, whereas women in the Mainly no IPV group were similar to those in the Consistent never IPV group. Conclusions: IPV data collected at one time point may involve around 12% false negative or false positive responses. To increase reliability, IPV should be measured on more than one occasion, using different techniques and methods that account for intentional and unintentional over- and under-reporting.]]> Fri 26 Aug 2022 08:16:43 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48981 Fri 21 Apr 2023 10:40:01 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34127 Fri 03 Dec 2021 10:32:07 AEDT ]]>