https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53334 Wed 22 Nov 2023 10:11:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33590 Wed 15 Dec 2021 16:08:03 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32520 Wed 13 Jun 2018 11:09:15 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:16817 Wed 11 Apr 2018 15:56:18 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:18545 Wed 11 Apr 2018 12:52:16 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:17004 Wed 11 Apr 2018 10:48:25 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:19521 Wed 11 Apr 2018 10:38:42 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14871 Wed 11 Apr 2018 10:34:19 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31350 Wed 09 Feb 2022 15:55:23 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49023 Wed 03 May 2023 12:38:05 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47613 Tue 24 Jan 2023 11:43:18 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48335 Tue 14 Mar 2023 17:16:01 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42869 Tue 06 Sep 2022 09:31:19 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43335 Thu 15 Sep 2022 15:04:30 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36885 Thu 04 Nov 2021 10:39:34 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:8399 Sat 24 Mar 2018 08:40:59 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7614 Sat 24 Mar 2018 08:34:43 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21364 11 mmol/L). We also recorded swallow screening and assessment during the first 24 h of admission. Results: Data for 718 (98%) patients were available; 138 (19%) had four hourly or more temperature readings and 204 patients (29%) had a fever, with 44 (22%) receiving paracetamol. A quarter of patients (n = 102/412, 25%) had six hourly or more glucose readings and 23% (95/412) had hyperglycemia, with 31% (29/95) of these treated with insulin. The majority of patients received a swallow assessment (n = 562, 78%) by a speech pathologist in the first instance rather than a swallow screen by a nonspeech pathologist (n = 156, 22%). Of those who passed a screen (n = 108 of 156, 69%), 68% (n = 73) were reassessed by a speech pathologist and 97% (n = 71) were reconfirmed to be able to swallow safely. Conclusions: Our results showed that acute stroke patients were: undermonitored and undertreated for fever and hyperglycemia; and underscreened for swallowing dysfunction and unnecessarily reassessed by a speech pathologist, indicating the need for urgent behavior change.]]> Sat 24 Mar 2018 07:51:25 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27825 Sat 24 Mar 2018 07:41:14 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28089 Sat 24 Mar 2018 07:39:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27532 Sat 24 Mar 2018 07:28:58 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28535 Sat 24 Mar 2018 07:28:48 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26704 Sat 24 Mar 2018 07:26:20 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:4621 Sat 24 Mar 2018 07:21:53 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:4848 Sat 24 Mar 2018 07:18:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22661 Sat 24 Mar 2018 07:15:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33931 Mon 23 Sep 2019 13:28:19 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40400 Mon 11 Jul 2022 13:55:46 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41301 Mon 01 Aug 2022 12:16:33 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42187 Fri 26 Aug 2022 09:08:17 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40029 n= 10) were recruited with the aim of deriving a standard GlucoTRIG value for a reference meal. Volunteers consumed the reference meal (2 regular slices of wholemeal bread; 250 mL chocolate flavoured milk; 7 g butter and 11 g peanut butter) comprising of carbohydrate, fat and protein (41, 40 and 16% energy respectively) on three different occasions with a minimum washout period of 3 days. The GlucoTRIG value was determined as the difference between the product of insulin and triglyceride obtained from venous blood samples at baseline and the product of insulin and triglyceride at 180 min. Results: There were no significant differences in the participants’ dietary intakes and their metabolic parameters between three visits (P> 0.005). The GlucoTRIG value obtained from three mean values of the reference meal was found to be 19 ± 3.5. There were no significant (,i>P= 0.2303) differences observed between the GlucoTRIG values for the three visits. Conclusion: GlucoTRIG, consisting of both glycaemic and lipaemic responses, may be a physiologically relevant tool to rank foods and meals for reducing the risk of metabolic diseases. Trial registration: ACTRN12619000973112.]]> Fri 15 Jul 2022 10:11:17 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40131 1c < 65 mmol/mol (8.1%), received a 50 g protein, 30 g carbohydrate, low-fat (< 1 g) breakfast drink over five consecutive days at home. A standard insulin dose (100%) was compared with additional doses of 115, 130, 145 and 160% for the protein, in randomized order. Doses were commenced 15-min pre-drink and delivered over 3 h using a combination bolus with 65% of the standard dose given up front. Postprandial glycaemia was assessed by 4 h of continuous glucose monitoring. Results: The 100% dosing resulted in postprandial hyperglycaemia. From 120 min, ≥ 130% doses resulted in significantly lower postprandial glycaemic excursions compared with 100% (P < 0.05). A 130% dose produced a mean (sd) glycaemic excursion that was 4.69 (2.42) mmol/l lower than control, returning to baseline by 4 h (P < 0.001). From 120 min, there was a significant increase in the risk of hypoglycaemia compared with control for 145% [odds ratio (OR) 25.4, 95% confidence interval (CI) 5.5–206; P < 0.001) and 160% (OR 103, 95% CI 19.2–993; P < 0.001). Some 81% (n = 21) of participants experienced hypoglycaemia following a 160% dose, whereas 58% (n = 15) experienced hypoglycaemia following a 145% dose. There were no hypoglycaemic events reported with 130%. Conclusions: The addition of 30% more insulin to a standard dose for a high-protein meal, delivered using a combination bolus, improves postprandial glycaemia without increasing the risk of hypoglycaemia.]]> Fri 15 Jul 2022 09:55:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24299 Fri 01 Apr 2022 09:26:14 AEDT ]]>