https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:6065 Wed 11 Apr 2018 17:06:29 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:15669 Wed 11 Apr 2018 09:55:28 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:3014 Sat 24 Mar 2018 08:33:04 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21675 Sat 24 Mar 2018 07:58:28 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:5728 Sat 24 Mar 2018 07:45:07 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:5864 Sat 24 Mar 2018 07:44:58 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:18921 Mon 27 Jul 2015 09:03:12 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40426 Puma concolor, spotted hyaena Crocuta crocuta, jaguar Panthera onca, lion Panthera leo, and tiger Panthera tigris), plus the Eurasian lynx Lynx lynx and the grey wolf Canis lupus (which are usually top predators in the areas from which data were obtained), showed greater dietary breadth and/or used a greater number of large prey species (i.e. increased generalism). We suggest that dominant large carnivores encounter little competition in expanding their dietary breadth with increasing prey richness; conversely, the dietary niche of subordinate large carnivores is limited by competition with larger, dominant predators. We suggest that, over evolutionary time, resource partitioning is more important in shaping the dietary niche of smaller, inferior competitors than the niche of dominant ones.]]> Fri 22 Jul 2022 14:23:21 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39973 2) at baseline. Subjects/methods: A total of 4083 young women (27–31 years) in the healthy weight range (≥18.5 BMI <25 kg/m²) enroled in the Australian Longitudinal study on Women’s Health (ALSWH) were analysed. Diet quality was measured by the Australian Recommended Food Score (ARFS) and the Fruit and Vegetable Index (FAVI) using dietary data derived from a validated food frequency questionnaire. Weight change was calculated as the difference between baseline and 6-year follow-up weight (kg). Multiple linear regression models were used to analyse the association between baseline ARFS and FAVI and 6-year weight change. Results: At baseline, mean diet quality was low for both indices [ARFS (maximum 72) = 29.9 and FAVI (maximum 333) = 94.2] and women gained 3.7 kg of weight during 6 years of follow-up. Regression modelling revealed that every one point increase over 6 years in either the ARFS or FAVI score was associated with statistically significantly less weight gain over 6 years, although the amount was small (33 and 12 g, respectively). Conclusions: Higher diet quality predicts lower prospective weight gain in young women however, further research is needed over a longer follow-up period and in diverse population groups.]]> Fri 15 Jul 2022 10:18:19 AEST ]]>