https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33325 Wed 19 Jan 2022 15:17:19 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:16610 Wed 11 Apr 2018 15:23:31 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21145 Wed 11 Apr 2018 14:09:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14960 Wed 11 Apr 2018 13:42:54 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:22884 vs. a nut free diet on adiposity and cardio-metabolic risk markers. In a randomised cross-over design, 61 healthy subjects (65 ± 7 years, body mass index (BMI) 31 ± 4 kg/m²) alternated either high oleic peanuts (15%-20% of energy) or a nut free diet for 12 weeks. Body composition and mass, waist circumference, C-reactive protein (CRP), lipids, glucose and insulin were assessed at baseline and after each phase. Repeated measures analysis of variance (ANOVA) compared the two diets. Consistent with other nut studies, there were no differences in lipids, CRP, glucose and insulin with peanut consumption. In contrast, some reports have demonstrated benefits, likely due to differences in the study cohort. Energy intake was 10% higher (853 kJ, p < 0.05), following peanut consumption vs. control, attributed to a 30% increase in fat intake (p < 0.001), predominantly monounsaturated (increase 22 g, p < 0.05). Despite greater energy intake during the peanut phase, there were no differences in body composition, and less than predicted increase (0.5 kg) in body weight for this additional energy intake, possibly due to incomplete nutrient absorption and energy utilisation.]]> Wed 11 Apr 2018 11:43:58 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37187 2), middle-aged (35-65 years old) men. Participants were recruited in May 2018, and the intervention took place between June and December 2018. The intervention involved 12 weekly 90-min face-to-face sessions, incorporating physical activity, nutrition, and behaviour change information and practical activities delivered by coaches at 2 clubs. Data were collected at baseline and immediately postintervention. For trial feasibility purposes, 6-month follow-ups were completed. Outcomes were differences in weight loss (primary outcome) and recruitment and retention rates, self-reported measures (for example, psychological well-being), device-measured physical activity, waist size, and blood pressure at 3 months. Within 3 days of advertising at each club, 426 men registered interest; 306 (72%) were eligible. Men were selected on a first-come first-served basis (n = 130; M age = 45.8, SD = 8; M BMI = 34.48 kg/m² SD = 4.87) and randomised by a blinded researcher. Trial retention was 86% and 63% at 3- and 6-month follow-ups (respectively). No adverse events were reported. At 3 months, mean difference in weight between groups, adjusted for baseline weight and group, was 3.3 kg (95% CI 1.9, 4.8) in favour of the intervention group (p < 0.001). The intervention group's moderate-to-vigorous physical activity (MVPA) was higher than the control group by 8.54 min/day (95% CI 1.37, 15.71, p = 0.02). MVPA among men attracted to Aussie-FIT was high at baseline (intervention arm 35.61 min/day, control arm 38.38 min/day), which may have limited the scope for improvement. Conclusion: Aussie-FIT was feasible to deliver; participants increased physical activity, decreased weight, and reported improvements in other outcomes. Issues with retention were a limitation of this trial. In a future, fully powered randomised controlled trial (RCT), retention could be improved by conducting assessments outside of holiday seasons.]]> Wed 07 Apr 2021 20:21:06 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48562 Vim^-/-) display phenotypes reflecting reduced levels of cell activation and ability to counteract stress, for example, decreased reactivity of astrocytes after neurotrauma, decreased migration of astrocytes and fibroblasts, attenuated inflammation and fibrosis in lung injury, delayed wound healing, impaired vascular adaptation to nephrectomy, impaired transendothelial migration of lymphocytes and attenuated atherosclerosis. To address the role of vimentin in fat accumulation, we assessed the body weight and fat by dual-energy X-ray absorptiometry (DEXA) in Vim^-/- and matched wildtype (WT) mice. While the weight of 1.5-month-old Vim^-/- and WT mice was comparable, Vim^-/- mice showed decreased body weight at 3.5, 5.5 and 8.5 months (males by 19-22%, females by 18-29%). At 8.5 months, Vim^-/- males and females had less body fat compared to WT mice (a decrease by 24%, p < 0.05, and 33%, p < 0.0001, respectively). The body mass index in 8.5 months old Vim^-/- mice was lower in males (6.8 vs. 7.8, p < 0.005) and females (6.0 vs. 7.7, p < 0.0001) despite the slightly lower body length of Vim^-/- mice. Increased mortality was observed in adult Vim^-/- males. We conclude that vimentin is required for the normal accumulation of body fat.]]> Tue 21 Mar 2023 15:44:53 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44251 Tue 11 Oct 2022 12:28:43 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38093 'Health Workplace Framework and Model') which aims to provide a sustained approach to wellness in the workplace. This paper presents baseline findings from a pilot study that aimed to implement RESHAPE at three mine sites in NSW, Australia, and investigates the issue of overweight and obesity in the coal mining industry. Across three mine sites, 949 coal miners were examined cross-sectionally on a range of workplace, wellness, health, diet, and exercise factors using a paper-based survey. This was a predominantly male sample (90.4%) with the majority (59.2%) of participants aged 25-44 years. Selfreported height and weight measures indicated that less than 20 percent (18.9%) of participants were in a healthy BMI range, while there were effectively equal numbers of overweight (40.9%) and obese (39.1%) participants. Only 3.5% of participants met the daily recommendation for vegetables (5 serves) and shift-workers had greater association with elevated BMI compared to non-shift workers (B = 1.21, 95% CI: 0.23, 2.20, p = 0.016). Poor nutrition is likely to be a key component in elevated levels of overweight and obesity within this industry, with workplace factors compounding challenges workers face in implementing health behavior change. Future studies would benefit from assessing diet and physical activity knowledge in relation to recommendations and serving sizes.]]> Tue 03 Aug 2021 18:29:05 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29923 Tue 02 Apr 2019 10:31:35 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35681 Thu 28 Oct 2021 13:04:55 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30825 Thu 28 Oct 2021 13:03:53 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25932 Thu 24 Mar 2022 11:31:12 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29674 Thu 21 Oct 2021 12:51:43 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49920 Thu 15 Jun 2023 10:24:41 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37424 Thu 12 Nov 2020 18:13:51 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40163 Thu 06 Jul 2023 10:57:56 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17951 Sat 24 Mar 2018 07:56:28 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:19687 Sat 24 Mar 2018 07:53:51 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53543 0.8 = “excellent”; 0.61-0.8 = “good”; 0.41-0.60 = “moderate”; 0.21 and 0.4 = “fair [weak]”; <0.2 = “poor”). Results: Overall, 89 children were included (mean age: 4.7 years; 59.5% female). The mean difference between parent-reported and researcher-measured data were small (BMI z-score: mean difference −0.01 [95% CI: −0.45 to 0.44]). There was “fair/weak” agreement between parent-categorised child BMI compared with researcher-measured data (Cohen's Kappa 0.24 [95% CI: 0.06 to 0.42]). Agreement was poor (Cohen's kappa <0.2) for female children, when reported by fathers or by parents with a BMI > 25 kg/m2. Conclusion: There was “fair/weak” agreement between parent-reported and measured estimates of child weight status. So What?: Parent's report of weight and height may be a weak indicator of adiposity at the level of individuals however it may be useful for aggregate estimates.]]> Mon 04 Dec 2023 15:58:46 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39704 Fri 17 Jun 2022 16:56:05 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40166 50% among nine studies. Among underweight women, the percentage of women who gained inadequate gestational weight ranged from 67% to 98%. Only two studies were included in the meta-analyses to evaluate the association of gestational weight gain with pre-eclampsia and macrosomia. No difference was observed among women who gained inadequate and adequate gestational weight regarding experiencing pre-eclampsia (RR, 0.71; 95% CI: 0.22, 2.28, P = 0.57). Excessive gestational weight gain was not significantly associated with macrosomia compared to adequate weight gain (RR, 0.68; 95% CI: 0.38, 1.22, P = 0.20). Conclusion: A substantial proportion of sub-Saharan African women gain inadequate gestational weight particularly high among underweight women. Future interventions would need to design effective pre-pregnancy weight management strategies.]]> Fri 15 Jul 2022 10:39:18 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38491 Fri 12 Nov 2021 12:50:35 AEDT ]]>