https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40543 Wed 28 Feb 2024 14:55:09 AEDT ]]> The relationship between foot posture, body mass, age and ankle, lower-limb and whole-body flexibility in healthy children aged 7 to 15years https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23650 Wed 11 Apr 2018 15:01:20 AEST ]]> Epigenetic age acceleration in adolescence associates with BMI, inflammation and risk score for middle age cardiovascular disease https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47832 Wed 01 Feb 2023 13:35:54 AEDT ]]> Key Considerations When Addressing Physical Inactivity and Sedentary Behaviour in People with Asthma https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54427 Tue 27 Feb 2024 13:53:28 AEDT ]]> Hydration status of rugby union players in hot and humid conditions: a comparative team case study of day and night training sessions https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33308 2%. TSS increased significantly across both day (1.2±1.3; 5.2±1.0) and night sessions (1.4±1.0; 3.6±1.6). However, TSS was significantly higher post-training in the day session and players ingested more fluids during the day session (1.4±0.5; 0.9±0.4 L·hr⁻¹). Reduced thermal stress scores may compromise self-mediated hydration practices in rugby players when training at night and lead to greater body mass loss.]]> Mon 24 Aug 2020 17:28:45 AEST ]]> Frequency and variety of usual intakes of healthy foods, fruit, and vegetables predicts lower 6-year weight gain in young women https://ogma.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 ]]>