https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45171 Wed 26 Oct 2022 14:18:49 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29570 Wed 24 Nov 2021 15:50:43 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24666 Wed 15 Dec 2021 16:09:24 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33203 Wed 12 Sep 2018 15:47:02 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26096 Wed 11 Apr 2018 16:27:54 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12932 Wed 11 Apr 2018 16:18:22 AEST ]]> 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:15370 Wed 11 Apr 2018 15:40:17 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9195 Wed 11 Apr 2018 15:33:36 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19724 Wed 11 Apr 2018 14:56:19 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15671 Wed 11 Apr 2018 14:48:42 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14937 Wed 11 Apr 2018 14:10:59 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9194 Wed 11 Apr 2018 14:02:39 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22534 15 years old participating in the fourth wave of the Indonesia Family Life Survey. Chronic condition risk factors – systolic and diastolic blood pressure (SBP and DBP), body mass index (BMI), and tobacco use – among women in four major cities in Indonesia (Jakarta, Surabaya, Medan, and Bandung) were compared against other cities. Fractional polynomial regression models were applied to examine the association between living in the major cities and SBP, DBP, BMI, and tobacco use. The models were also adjusted for age, education, employment status, migration status, ethnic groups, and religion. The patterns of SBP, DBP, and BMI were plotted and contrasted between groups of cities. Results: Chronic condition prevalence was higher for women in major cities than in contrasting cities (p<0.005). Living in major cities increased the risk of having higher SBP, DBP, BMI and being a current smoker. Chronic disease risk factors in major cities were evident from younger ages. Conclusions: Women residing in Indonesia’s major cities have a higher risk of developing chronic conditions, starting at younger ages. The findings highlight the challenges inherent in providing long-term healthcare with its associated cost within major Indonesian cities and the importance of chronic disease prevention programmes targeting women at an early age.]]> Wed 11 Apr 2018 13:43:11 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17465 Wed 11 Apr 2018 12:20:43 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17394 Wed 11 Apr 2018 10:57:09 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:3453 Wed 11 Apr 2018 10:43:42 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15598 Wed 11 Apr 2018 10:37:55 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17460 Wed 11 Apr 2018 10:09:35 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53712 Wed 10 Jan 2024 11:10:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33222 Wed 04 Sep 2019 09:55:43 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38560 Wed 02 Aug 2023 11:51:56 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36417 Tue 28 Apr 2020 16:16:04 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46311 Tue 15 Nov 2022 11:17:49 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47044 Tue 13 Dec 2022 14:22:25 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33178 Tue 11 Sep 2018 12:15:56 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35749 Tue 10 Oct 2023 13:55:39 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30655 Tue 03 Sep 2019 18:30:32 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33662 Tue 03 Sep 2019 18:01:38 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35748 Thu 28 Nov 2019 12:43:06 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35753 Thu 28 Nov 2019 12:41:55 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33501 Thu 28 Nov 2019 12:36:46 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33672 Thu 28 Nov 2019 12:35:11 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39908 Thu 14 Jul 2022 12:27:50 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35868 Thu 14 Apr 2022 11:01:33 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30690 Thu 14 Apr 2022 10:58:31 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25790 Thu 13 Jan 2022 10:30:56 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23856 Thu 13 Jan 2022 10:30:40 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48842 Thu 13 Apr 2023 09:46:01 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35778 Thu 09 Dec 2021 11:01:59 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:7706 Sat 24 Mar 2018 10:47:56 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9585 Sat 24 Mar 2018 08:39:11 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:8610 Sat 24 Mar 2018 08:35:41 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:1268 Sat 24 Mar 2018 08:32:28 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:1882 Sat 24 Mar 2018 08:31:19 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:1884 Sat 24 Mar 2018 08:31:18 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:1244 Sat 24 Mar 2018 08:28:35 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15313 Sat 24 Mar 2018 08:20:00 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12481 Sat 24 Mar 2018 08:17:19 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:10533 Sat 24 Mar 2018 08:13:57 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:10515 Sat 24 Mar 2018 08:13:56 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11338 Sat 24 Mar 2018 08:13:29 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:10251 Sat 24 Mar 2018 08:13:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:10291 Sat 24 Mar 2018 08:13:02 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12214 Sat 24 Mar 2018 08:12:06 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12320 Sat 24 Mar 2018 08:11:37 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:10696 Sat 24 Mar 2018 08:09:54 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17372 Sat 24 Mar 2018 08:01:33 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16913 Sat 24 Mar 2018 07:58:45 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19574 Sat 24 Mar 2018 07:58:19 AEDT ]]> https://ogma.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://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19778 Sat 24 Mar 2018 07:56:52 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20845 Sat 24 Mar 2018 07:55:16 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21647 Sat 24 Mar 2018 07:52:23 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19166 Sat 24 Mar 2018 07:52:18 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20022 0.70; sensitivity and specificity >0.80) between self-report and hospitalizations data for arthritis-related surgeries. Conclusions: This study provides new evidence for good agreement between self-reported health survey data and administrative records of arthritis-related joint procedures, and supports the use of self-report surveys in epidemiological studies of joint procedures where administrative data are either not available or not readily accessible, or where more extensive contextual information is needed. The use of health survey data in conjunction with administrative data has an important role to play in public health planning and policy.]]> Sat 24 Mar 2018 07:50:52 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20995 N = 9683). Information on self-reported sleep difficulties, help seeking, and health-care satisfaction was obtained from four surveys collected from 2000 (aged 22-27 years) to 2009. Generalized estimating equations were conducted to calculate odds ratios (OR) for the likelihood of women who reported sleep difficulties in 2000 to report sleep difficulties at subsequent surveys. Results: The prevalence of self-reported sleep difficulties 'often' was consistent at 9.1-10.8%. Women who reported sleep difficulties 'often' in 2000 had a markedly increased risk of continued sleep difficulties 'often' over the subsequent 9 years [2003: OR (95% confidence interval, CI) = 11.07 (8.03-15.27); 2006: 12.19 (8.08-16.88); 2009: 10.70 (7.57-15.12)]. Of women who reported sleep difficulties 'often' in 2000 (N = 981), 45.1% had persistent sleep problems and 21.1% experienced relapse of symptoms. About one-third of women who reported sleep problems 'often' sought help. Conclusion: Self-reported frequent sleep difficulties in non-depressed young women strongly predicted a continuation of this level of sleep difficulty over a decade, even if help is sought. Current health practice may not be breaking the ongoing chronicity of sleep difficulties in young women.]]> Sat 24 Mar 2018 07:50:38 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20651 Sat 24 Mar 2018 07:49:55 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:5416 Sat 24 Mar 2018 07:48:17 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:5205 Sat 24 Mar 2018 07:47:46 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:198 Sat 24 Mar 2018 07:42:53 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:111 Sat 24 Mar 2018 07:42:49 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43 Sat 24 Mar 2018 07:42:12 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26835 Sat 24 Mar 2018 07:41:38 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27863 Sat 24 Mar 2018 07:41:11 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27869 Sat 24 Mar 2018 07:41:10 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:25692 Sat 24 Mar 2018 07:28:20 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26645 Sat 24 Mar 2018 07:26:52 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25876 Sat 24 Mar 2018 07:25:54 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:4881 Sat 24 Mar 2018 07:22:02 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23387 15 years in urban Indonesia. We compared the prevalence, predicted socioeconomic factors, the gender inequalities, and the contributing factors to the inequalities. Women had a higher risk of obesity and hypercholesterolemia and raised blood pressure in later life (P <.001). In contrast, men had a higher risk of being a current smoker and raised blood pressure at younger age (P <.001). The gender inequalities in hypertension, obesity, and hypercholesterolemia can be accounted for by disparities in socioeconomic factors between men and women, particularly involvement in paid work. However, the inequalities were also accounted for by different effects of the socioeconomic factors in men and women. Gender is interlinked with socioeconomic and biological factors in determining health. This emphasizes the need of gender responsive policies to control and prevent chronic disease.]]> Sat 24 Mar 2018 07:13:57 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25011 Sat 24 Mar 2018 07:10:40 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38451 Mon 29 Jan 2024 17:57:23 AEDT ]]> https://ogma.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://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34279 Mon 25 Feb 2019 14:55:14 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44758 Mon 24 Oct 2022 08:49:25 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44740 Mon 24 Oct 2022 08:35:45 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37864 Mon 24 May 2021 12:44:01 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40735 Mon 18 Jul 2022 12:51:18 AEST ]]> https://ogma.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://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36202 Mon 02 Mar 2020 12:36:37 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45461 Fri 28 Oct 2022 14:37:28 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39242 Fri 27 May 2022 14:39:33 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41095 Fri 22 Jul 2022 18:07:19 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33346 Fri 15 Oct 2021 10:59:31 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38491 Fri 12 Nov 2021 12:50:35 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46119 N = 8,177) were followed up every 2 to 3 years to ages 37 to 42 using the Australian Longitudinal Study on Women's Health. A latent class analysis identified obesity-risk classes based on time-dependent measures of income, education, physical activity, sleep quality, dietary behavior, depression, stressful events, and social functioning. Cox proportional hazards regression models examined associations between incident obesity and latent classes, controlling for covariates. Results: Four latent classes were identified, including a lower-risk referent class and classes characterized by poor exercise and diet, stress and low income, and multiple intermediate-level risks. Compared with the referent, all three risk classes had significantly higher obesity risk, with the highest risk in the stress and low-income group (hazard ratio = 2.22; 95% CI: 1.92-2.56). Individual risks associated with obesity included lower education, stressful life events, and lower vigorous physical activity. Conclusions: Young women without baseline obesity were at risk of developing obesity when they experienced co-occurring behavioral, socioeconomic, and psychosocial risks. Both latent classes and individual risk indicators offer insights into prevention strategies.]]> Fri 11 Nov 2022 15:01:11 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45734 Fri 04 Nov 2022 09:59:39 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24673 Fri 03 Dec 2021 10:35:49 AEDT ]]>