https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29241 Wed 27 Apr 2022 14:49:48 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:2854 Wed 24 Jul 2013 22:53:23 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20558 Wed 11 Apr 2018 17:17:31 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:525 Thu 25 Jul 2013 09:10:31 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:5 Thu 25 Jul 2013 09:10:12 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:8290 Sat 24 Mar 2018 08:40:32 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:7223 Sat 24 Mar 2018 08:39:56 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:1113 Sat 24 Mar 2018 08:32:05 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:2855 0.05) with respect to initial weight, body composition (% body fat, lean body mass), serum lipid profile, insulin resistance, age, gender, BMI, waist, blood pressure or depression score (all assessed using standard methods) between those who continued and those who did not. We speculated that random allocation to an unwanted meal pattern may have contributed to dropping out. Results indicate that there were no significant differences (p > 0.05) for a dropout’s baseline meal pattern between each of the three meal patterns, and for each gender. Interviews and qualitative data provided only 1 case where the meal pattern allocation had been the deciding factor to drop out. The remainder cited work, time constraints and family commitments as the primary reason. We conclude that a profile to reliably predict those who will quit a weight loss study could not be developed, and that we need to develop tools to evaluate lifestyle predictors more effectively.]]> Sat 24 Mar 2018 08:28:57 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:1481 1 kg lost) or weight stable (≤1 kg lost) after an 8 week nutrition intervention period. Group survival duration (Kaplan Meier) and QoL (EORTC QLQ-C30) were compared. Predictors of weight stability were determined using logistic regression analysis. Results: Patients with weight stabilisation survived longer from baseline (log rank test 5.53, P=0.019). They also reported higher QoL scores (P=0.037) and a greater mean energy intake (P<0.001) at Week 8 than those who continued to lose weight. The absence of nausea and vomiting (OR 6.5, P=0.010) and female gender (OR 5.2, P=0.020) were independent determinants of weight stabilisation. Conclusions: Weight stabilisation over an 8 week period in weight-losing patients with unresectable pancreatic cancer was associated with improved survival duration and QoL.]]> Sat 24 Mar 2018 08:28:12 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:1738 Sat 24 Mar 2018 08:27:26 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15641 Sat 24 Mar 2018 08:23:44 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12756 Sat 24 Mar 2018 08:18:24 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12862 Sat 24 Mar 2018 08:14:48 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12267 Sat 24 Mar 2018 08:10:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:10908 Sat 24 Mar 2018 08:07:41 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20881 Sat 24 Mar 2018 07:57:58 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17951 Sat 24 Mar 2018 07:56:28 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:127 Sat 24 Mar 2018 07:43:11 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20 7.4 L) for each of the prediction equations compared with measured TBW. Conclusions: At a group level, TBWca-underweight is the best predictor of measured TBW in patients with cancer cachexia. For an individual however, the limits of agreement are wide for all prediction equations and are unsuitable for use. Practitioners need to be aware of the limitations of using TBW prediction equations for individuals.]]> Sat 24 Mar 2018 07:42:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25668 Sat 24 Mar 2018 07:28:05 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:4910 Sat 24 Mar 2018 07:22:59 AEDT ]]>