https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35855 Wed 11 Dec 2019 14:37:23 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24278 Wed 11 Apr 2018 18:17:05 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:13782 Wed 11 Apr 2018 16:59:23 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17006 Wed 11 Apr 2018 16:48:15 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22296 Wed 11 Apr 2018 13:09:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24534 Wed 11 Apr 2018 12:18:12 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22792 Wed 11 Apr 2018 11:48:54 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22228 Wed 11 Apr 2018 10:59:37 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:13784 Wed 08 Jan 2020 11:29:43 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38111 [BI] = 9.38 × 10^-25; p_[SSBI] = 5.23 × 10-14 for hypertension), smoking (p_[BI]= 4.4 × 10^-10; p_[SSBI] = 1.2 × 10^-4), diabetes (p_[BI] = 1.7 × 10 -8; p_[SSBI] = 2.8 × 10^-3), previous cardiovascular disease (p_[BI] = 1.0 × 10^-18; p_[SSBI] = 2.3 × 10^-7), stroke (p_[BI] = 3.9 × 10^-69; p_[SSBI] = 3.2 × 10^-24), and MRI-defined white matter hyperintensity burden (p_[BI]=1.43 × 10^-157; p_[SSBI] = 3.16 × 10^-106), but not with body mass index or cholesterol. GRS of BP traits were associated with BI and SSBI (p = 0.0022), without indication of directional pleiotropy. Conclusion: In this multiethnic GWAS meta-analysis, including over 20,000 population-based participants, we identified genetic risk loci for BI requiring validation once additional large datasets become available. High BP, including genetically determined, was the most significant modifiable, causal risk factor for BI.]]> Wed 04 Aug 2021 10:54:18 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41435 Wed 03 Aug 2022 14:26:31 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41421 Wed 03 Aug 2022 11:59:20 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51138 12 months (0.58 kg/m2, 95% CI = 0.01 to 1.16, p = 0.05), and systolic blood pressure (mmHg) at ≤ 6 months (3.51, p < 0.001). Conclusions: Lifestyle interventions are important for the prevention of CVD in women, specifically to reduce systolic blood pressure in the short term (≤ 6 months) and BMI long term (>12 months). Systematic review registration: https://osf.io/bkwqm, identifier: osf-registrations-bkwqm-v1.]]> Tue 22 Aug 2023 15:58:37 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17560 Tue 16 Jun 2015 20:07:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48329 Tue 14 Mar 2023 16:47:58 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30409 Thu 27 Jan 2022 15:57:05 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36055 Thu 13 Jan 2022 10:32:01 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7280 Sat 24 Mar 2018 10:48:09 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14490 Sat 24 Mar 2018 08:21:41 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25571 Sat 24 Mar 2018 07:35:12 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26314 Sat 24 Mar 2018 07:24:13 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22176 Sat 24 Mar 2018 07:14:59 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24306 positive life investments', Component 2 'poor emotional regulation' and Component 3 'poor health behaviours'. There was a significant negative correlation between 'positive life investments' and each of the Depression, Anxiety and Stress scales subscales and significant positive associations with 'poor emotional regulation' and Short Form Health Survey-12 mental health scores. Only the Short Form Health Survey-12 physical health subscale was weakly correlated with 'poor health behaviours', in females. Conclusion: Our findings support the construct and concurrent validity of the Fantastic Lifestyle Checklist measure. The three factors obtained for the Fantastic Lifestyle Checklist were coherent and seem useful for research and clinical practice.]]> Sat 24 Mar 2018 07:14:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30842 5 years. Forty-five percent of patients were classified as obese (BMI ≥ 30 kg/m2, mean (SD) BMI was 31 ± 7 kg/m2), with a mean waist circumference of 104 ± 19.4 cm (SD). The most frequent patient nominated treatment goals related to physical activity (39%), followed by nutritional goals (23%). Traditionally, pain management programs have included physical, psychosocial, and medical, but not nutritional, interventions. By contrast, patients identified and reported important nutrition-related treatment goals. There is a need to test nutrition treatment pathways, including an evaluation of dietary intake and nutrition support. This will help to optimize dietary behaviors and establish nutrition as an important component of multidisciplinary chronic pain management.]]> Mon 26 Sep 2022 14:38:08 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33832 Mon 23 Sep 2019 12:08:19 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52502 Mon 16 Oct 2023 10:09:38 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50931 Mon 14 Aug 2023 12:01:38 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53115 Fri 17 Nov 2023 11:27:53 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38399 Fri 17 Dec 2021 11:17:46 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35452 Fri 16 Aug 2019 15:08:31 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40583 Fri 15 Jul 2022 10:46:19 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44403 Fri 14 Oct 2022 08:52:12 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47366 Fri 13 Jan 2023 14:57:41 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:23092 Fri 09 Aug 2019 14:04:14 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52956 Fri 03 Nov 2023 11:06:41 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35772 3 months in duration) and body mass index ≥27 kg/m² and <40 kg/m² were randomly allocated, using a central concealed random allocation process, to receive advice and education and referral to a 6-month telephone-based healthy lifestyle coaching service, or usual care. The primary outcome was pain intensity measured using an 11-point numerical rating scale, at baseline, 2 weeks, and monthly for 6 months. Data analysis was by intention-to-treat according to a prepublished analysis plan. Between May 13, 2015, and October 27, 2015, 160 patients were randomly assigned in a 1:1 ratio to the intervention or usual care. We found no difference between groups for pain intensity over 6 months (area under the curve, mean difference = 6.5, 95% confidence interval -8.0 to 21.0; P = 0.38) or any secondary outcome. In the intervention group, 41% (n = 32) of participants reported an adverse event compared with 56% (n = 45) in the control group. Our findings show that providing education and advice and telephone-based healthy lifestyle coaching did not benefit patients with low back pain who were overweight or obese, compared with usual care. The intervention did not influence the targeted healthy lifestyle behaviours proposed to improve pain in this patient group.]]> Fri 03 Dec 2021 10:32:11 AEDT ]]>