https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35871 Wed 29 Apr 2020 14:11:10 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43455 p < 0.001); whilst those with an unhealthy diet and no MVM or fish oil consumption were associated with a higher risk of obesity (p < 0.05). Compared to participants with a long-term healthy diet and no calcium consumption, the combination of a long-term healthy diet and calcium consumption was linked to a lower risk of CVD (IRR = 0.87, 95% CI: 0.78; 0.96). In conclusion, a long-term healthy diet combined with MVM or fish oil was associated with a lower incidence of CVD. Participants who maintained a healthy diet and used calcium supplements were associated with a lower incidence of obesity. However, these associations were not found among those with an unhealthy diet, despite taking similar supplements.]]> Wed 28 Sep 2022 14:35:09 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51358 Wed 28 Feb 2024 16:08:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45171 Wed 26 Oct 2022 14:18:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29570 Wed 24 Nov 2021 15:50:43 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35869 Wed 24 May 2023 12:57:32 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24666 Wed 15 Dec 2021 16:09:24 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41663 Wed 13 Mar 2024 18:26:17 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33203 Wed 12 Sep 2018 15:47:02 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26096 Wed 11 Apr 2018 16:27:54 AEST ]]> https://nova.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://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15370 Wed 11 Apr 2018 15:40:17 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:14937 Wed 11 Apr 2018 14:10:59 AEST ]]> https://nova.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://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17465 Wed 11 Apr 2018 12:20:43 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17394 Wed 11 Apr 2018 10:57:09 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:16063 Wed 11 Apr 2018 10:47:08 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:17460 Wed 11 Apr 2018 10:09:35 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53712 Wed 10 Jan 2024 11:10:07 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:24487 Wed 09 Mar 2022 15:58:56 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:48776 Wed 05 Apr 2023 14:02:56 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28077 Wed 04 Sep 2019 10:27:41 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33222 Wed 04 Sep 2019 09:55:43 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38560 Wed 02 Aug 2023 11:51:56 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36417 Tue 28 Apr 2020 16:16:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36667 2 standard alcoholic drinks/day (41.2%). In conclusion, large fractions of kidney and bladder cancers in Australia are preventable by behavior change.]]> Tue 26 Jul 2022 11:43:54 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37400 n = 214,536) to national cancer and death registries, and estimated the strength of the associations between behaviours causally related to cancer incidence and death using adjusted proportional hazards models. We estimated exposure prevalence from representative health surveys. We combined these estimates to calculate Population Attributable Fractions (PAFs) with 95% confidence intervals (CIs), and compared PAFs for population subgroups. During the first 10 years follow‐up, there were 640 incident breast cancers for premenopausal women, 2,632 for postmenopausal women, and 8,761 deaths from any cause. Of future breast cancers for premenopausal women, any regular alcohol consumption explains 12.6% (CI = 4.3–20.2%), current use of oral contraceptives for ≥5 years 7.1% (CI = 0.3–13.5%), and these factors combined 18.8% (CI = 9.1–27.4%). Of future breast cancers for postmenopausal women, overweight or obesity (BMI ≥25 kg/m2) explains 12.8% (CI = 7.8–17.5%), current use of menopausal hormone therapy (MHT) 6.9% (CI = 4.8–8.9%), any regular alcohol consumption 6.6% (CI = 1.5–11.4%), and these factors combined 24.2% (CI = 17.6–30.3%). The MHT‐related postmenopausal breast cancer burden varied by body fatness, alcohol consumption and socio‐economic status, the body fatness‐related postmenopausal breast cancer burden by alcohol consumption and educational attainment, and the alcohol‐related postmenopausal breast cancer burden by breast feeding history. Our results provide evidence to support targeted and population‐level cancer control activities.]]> Tue 25 Oct 2022 09:19:19 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47647 P = 0.007) and for those under 65 (19.0%; 95% CI, 8.1–28.6%) than for older people (6.6%; 95% CI, 1.9–11.1%; P = 0.030). There were no independent relationships between body mass index or alcohol consumption and pancreatic cancer. Conclusions: Strategies that reduce the uptake of smoking and encourage current smokers to quit could substantially reduce the future incidence of pancreatic cancer in Australia, particularly among men.]]> Tue 24 Jan 2023 14:51:37 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46311 Tue 15 Nov 2022 11:17:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47044 Tue 13 Dec 2022 14:22:25 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33178 Tue 11 Sep 2018 12:15:56 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35749 Tue 10 Oct 2023 13:55:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30655 Tue 03 Sep 2019 18:30:32 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33662 Tue 03 Sep 2019 18:01:38 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35748 Thu 28 Nov 2019 12:43:06 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35753 Thu 28 Nov 2019 12:41:55 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33501 Thu 28 Nov 2019 12:36:46 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33672 Thu 28 Nov 2019 12:35:11 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35110 Pdifference < .001). The burden attributed to these factors was also higher for those born in Australia (28.7%) than elsewhere (16.8%, Pdifference = .047). We observed modification of the smoking-attributable burden by alcohol consumption and educational attainment, and modification of the obesity-attributable burden by age group and birthplace. Conclusions: We produced up-to-date estimates of the future CRC burden attributed to modifiable behaviors. We revealed novel differences between men and women, and other high–CRC burden subgroups that could potentially benefit most from programs that support behavioral change and early detection.]]> Thu 24 Mar 2022 11:32:50 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51873 Thu 21 Sep 2023 10:23:09 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30583 Thu 17 Mar 2022 14:38:56 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34722 Thu 17 Mar 2022 14:34:49 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:35868 Thu 14 Apr 2022 11:01:33 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:23856 Thu 13 Jan 2022 10:30:40 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48842 Thu 13 Apr 2023 09:46:01 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35778 Thu 09 Dec 2021 11:01:59 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42706 Thu 01 Sep 2022 09:55:23 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:16913 Sat 24 Mar 2018 07:58:45 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:19574 Sat 24 Mar 2018 07:58:19 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:19778 Sat 24 Mar 2018 07:56:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20845 Sat 24 Mar 2018 07:55:16 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:19193 Sat 24 Mar 2018 07:54:59 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:19166 Sat 24 Mar 2018 07:52:18 AEDT ]]> https://nova.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://nova.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://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20651 Sat 24 Mar 2018 07:49:55 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:27863 Sat 24 Mar 2018 07:41:11 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:25716 Sat 24 Mar 2018 07:33:27 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25692 Sat 24 Mar 2018 07:28:20 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26645 Sat 24 Mar 2018 07:26:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26644 Sat 24 Mar 2018 07:26:51 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25876 Sat 24 Mar 2018 07:25:54 AEDT ]]> https://nova.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://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25011 Sat 24 Mar 2018 07:10:40 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30405 Mon 30 Apr 2018 15:21:18 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38451 Mon 29 Jan 2024 17:57:23 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:34279 Mon 25 Feb 2019 14:55:14 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44758 Mon 24 Oct 2022 08:49:25 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:37864 Mon 24 May 2021 12:44:01 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37865 Mon 24 May 2021 12:42:40 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40735 Mon 18 Jul 2022 12:51:18 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:39242 Fri 27 May 2022 14:39:33 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41095 Fri 22 Jul 2022 18:07:19 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35870 Fri 21 Oct 2022 11:25:56 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33346 Fri 15 Oct 2021 10:59:31 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33223 Fri 14 Sep 2018 09:19:07 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 ]]> https://nova.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://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45747 Fri 04 Nov 2022 10:26:56 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45734 Fri 04 Nov 2022 09:59:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24673 Fri 03 Dec 2021 10:35:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33863 Fri 01 Apr 2022 09:28:51 AEDT ]]>