https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19921 Tue 09 Jun 2020 09:48:40 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:6997 T-MTHFR, 1298A>C-MTHFR, 80G>A-RFC, 2756A>G-MS, 66A>G- MSR, 19bpDHFR and 1561C>T-GCPII), only 677C>T-MTHFR was a significant risk for hypertension: OR 1.89; 95% CI 1.07–3.32 (χ² p = 0.038). Additionally, hypertensive subjects had a significantly lower intake of dietary folate than normotensive individuals (p = 0.0221), although this did not markedly alter blood metabolite levels. Several significant linear associations between dietary folate and related blood metabolites were found in normotensive subjects (p<0.001 for Hcy, red cell and serum folate) and were as predicted on an a priori basis – generally weaker associations existed in hypertensive subjects (p<0.05 for serum folate). This was true for data examined collectively or by genotype. Multiple regression analysis for diastolic or systolic blood pressure showed significant interaction for gender and folate intake (p = 0.014 and 0.019, respectively). In both cases this interaction occurred only in females, with higher folate intake associated with decreased blood pressure. Regressing diastolic blood pressure and 677C>T-MTHFR genotype showed significance (males; p = 0.032) and borderline significance (all subjects). Conclusion: Dietary folate and 677C>T-MTHFR genotype may modify blood pressure.]]> Sat 24 Mar 2018 08:37:49 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:1162 Sat 24 Mar 2018 08:28:43 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28656 n = 100) for five-months following hospital discharge after stroke (plus usual care) and compared with usual care (n = 101). Ethical approval was obtained to withhold information about the intervention and primary outcome from participants during the consent process. Results: No significant difference was seen in the proportion of participants with depression in the intervention group (1/88) vs. the control group (3/76) (relative risk 0·29, 95% confidence interval 0·03–2·71) at six-months. No significant differences were seen on Hospital Anxiety Depression Scale (HADS) depression and anxiety sub-scale scores, quality of life, or activities of daily living; however, many (47/100) responded positively to the postcards. Conclusions: Although this simple postcard intervention did not significantly reduce the proportion of participants experiencing high HADS depression sub-scale scores after stroke, it may be an effective way to engage with people after stroke following hospital discharge.]]> Sat 24 Mar 2018 07:37:13 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41725 2 or Barthel Index score <20) at 1 year (10 studies, n = 4,852) and 5 years (7 studies, n = 2,226). Multivariable linear regression was used to compare the mean difference (MD) in participation restriction by use of the London Handicap Scale (range 0-100 with lower scores indicating poorer outcome) for women compared to men at 5 years (2 studies, n = 617). For each outcome, study-specific estimates adjusted for confounding factors (e.g., sociodemographics, stroke-related factors) were combined with the use of random-effects meta-analysis. Results: In unadjusted analyses, women experienced worse functional outcomes after stroke than men (1 year: pooled RR_unadjusted 1.32, 95% confidence interval [CI] 1.18-1.48; 5 years: RR_unadjusted 1.31, 95% CI 1.16-1.47). However, this difference was greatly attenuated after adjustment for age, prestroke dependency, and stroke severity (1 year: RR_adjusted 1.08, 95% CI 0.97-1.20; 5 years: RR_adjusted 1.05, 95% CI 0.94-1.18). Women also had greater participation restriction than men (pooled MD_unadjusted-5.55, 95% CI -8.47 to -2.63), but this difference was again attenuated after adjustment for the aforementioned factors (MD_adjusted-2.48, 95% CI -4.99 to 0.03). Conclusions: Worse outcomes after stroke among women were explained mostly by age, stroke severity, and prestroke dependency, suggesting these potential targets to improve the outcomes after stroke in women.]]> Fri 12 Aug 2022 13:12:50 AEST ]]>