http://researchonline.federation.edu.au/vital/access/manager/Index ${session.getAttribute("locale")} 5 http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:14833 70%) think that General Practitioners (Primary Care Physicians) are primarily responsible for identifying and treating depression in CVD. Cardiologists, who understand the prognostic risks of depression in CVD and feel confident to identify and treat depression, were more likely to screen, refer and/or treat patients for depression. Conclusions: Australian cardiologists rarely use validated depression screening measures. Several brief instruments are available for use and can be easily integrated into routine patient care without taking additional consultation time. © 2019]]> Wed 25 Nov 2020 10:04:13 AEDT ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:14048 Wed 07 Apr 2021 14:02:08 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12679 Wed 07 Apr 2021 14:00:54 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11740 19 years of resistance training. Participants underwent a resting electrocardiogram (ECG), from which, the QTc interval was calculated using the Bazett formula. The main outcome measure was significant differences in mean corrected QTc between groups. A secondary outcome was to calculate a QTc that best differentiated between C and AS. Results indicated that QTc was shorter in AS than in C (382.0 +/- 21.01 ms versus 409 +/- 18.77 ms for AS and C respectively p < 0.001). Chi squared analyses revealed a greater incidence of QTc < 380 ms in AS versus C p < 0.01, specificity 93% sensitivity 60%). In conclusion these results supports previous findings that AAS use causes a reduction in QTc, however, the specificity and sensitivity in our sample is lower than reported previously and precludes use as a screening tool.]]> Wed 07 Apr 2021 13:57:01 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11674 /= 0.5 increased the odds by 5.2 (95% confidence interval 2.6 - 10.3) of having increased cardiometabolic risk. Similar associations were observed for BMI and WC. Both BMI-z and WHtR were fair predictors of increased cardiometabolic risk, although BMI-z demonstrated the best trade-off between sensitivity and specificity, 76.1% and 63.6%, compared with 68.1% and 65.5% for WHtR. Cross-validation analysis revealed that BMI-z and WHtR correctly classified 84% of individuals (kappa score = 0.671, 95% CI 0.55, 0.79). The sensitivity of the cut-points suggests that 89.3% of individuals were correctly classified as being at risk with only 10.7% misdiagnosed whereas the specificity of the cut-points indicated that 77.8% of individuals were correctly identified as being healthy with 22.2% of individuals incorrectly diagnosed as being at risk. CONCLUSIONS: Findings suggest that WHtR provides similar cardiometabolic risk estimates to age and sex adjusted BMI.]]> Wed 07 Apr 2021 13:56:58 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:10275 Wed 07 Apr 2021 13:55:37 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:1916 Wed 07 Apr 2021 13:32:58 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:14703 = 18 years) recruited through opportunistic sampling were screened at sites in 92 countries during May 2019. Ideally, 3 blood pressure readings were measured for each participant, and data on lifestyle factors and comorbidities were collected. Hypertension was defined as a systolic blood pressure >= 140 mm Hg, or a diastolic blood pressure >= 90 mm Hg (mean of the second and third readings) or taking antihypertensive medication. When necessary, multiple imputation was used to estimate participants' mean blood pressure. Mixed-effects models were used to evaluate associations between blood pressure and participant characteristics. Of 1 508 130 screenees 482 273 (32.0%) had never had a blood pressure measurement before and 513 337 (34.0%) had hypertension, of whom 58.7% were aware, and 54.7% were on antihypertensive medication. Of those on medication, 57.8% were controlled to <140/90 mm Hg, and 28.9% to <130/80 mm Hg. Of all those with hypertension, 31.7% were controlled to <140/90 mm Hg, and 350 825 (23.3%) participants had untreated or inadequately treated hypertension. Of those taking antihypertensive medication, half were taking only a single drug, and 25% reported using aspirin inappropriately. This survey is the largest ever synchronized and standardized contemporary compilation of global blood pressure data. This campaign is needed as a temporary substitute for systematic blood pressure screening in many countries worldwide.]]> Tue 19 Oct 2021 16:23:32 AEDT ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11194 Tue 07 Nov 2023 14:25:34 AEDT ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:15068 Tue 01 Jun 2021 13:05:02 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:19101 Thu 28 Mar 2024 14:46:02 AEDT ]]>