https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54883 Wed 20 Mar 2024 13:20:30 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:13794 0.05). Independent of age, sex, energy intake, and waist circumference z-score, sedentary behavior and LPA were associated with HDL-C (β = −0.23, 95% CI −0.42 to −0.04, P = 0.020; β = 0.20, 95% CI 0.14 to 0.39, P = 0.036, respectively). The strength of the associations remained after additionally adjusting for MVPA (sedentary behavior: β = −0.22, 95% CI −0.44 to 0.006, P = 0.056; LPA: β = 0.19, 95% CI −0.005 to 0.38, P = 0.056, respectively). Conclusion: Substituting at least LPA for sedentary time may contribute to the development of healthy HDL-C levels among overweight and obese children, independent of their adiposity. Comprehensive prevention and treatment strategies to improve plasma HDL-C among overweight and obese children should target reductions in total sedentary time and promote the benefits of LPA, in addition to promoting healthy levels of adiposity, healthy dietary behaviors, and MVPA.]]> Wed 11 Apr 2018 14:51:53 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46094 1 and FVC. Trends towards similar clinical associations with elevated MCs were observed in a paucigranulocytic subpopulation (n = 15) lacking airway eosinophilia or neutrophilia. Receiver operator characteristic (ROC) analysis showed peripheral blood eosinophil (PBE) count predicted elevated sputum eosinophils and basophils, but not MCs. Conclusions and Clinical Relevance: Sputum MCs are elevated in asthma, and their measurement may be useful as they relate to key clinical features of asthma (spirometry, asthma control, AHR). PBE count did not predict airway MC status, suggesting direct measurement of airway MCs by sensitive methods such as flow cytometry should be further developed.]]> Tue 21 May 2024 11:55:14 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44086 Thu 06 Oct 2022 15:34:32 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14502 Sat 24 Mar 2018 08:21:42 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20213 Sat 24 Mar 2018 08:06:51 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21320 P=0.006), pain in more locations (P≤0.005), and a higher prevalence of lower limb pain (60% vs. 52% respectively, P=0.012) than healthy-weight children. Significant relationships were observed between body mass index and total pain locations (P≤0.004, unadjusted and adjusted) and worst pain intensity (P≤0.009, adjusted for socioeconomic status/accelerometry). There were no significant relationships between percent body fat and pain variables (unadjusted/adjusted analyses, P = 0.262 to 1.0). Discussion: Obesity in children was associated with increased overall and lower limb musculoskeletal pain, for which body mass index was a stronger predictor than adiposity. Clinicians treating obese children should screen for pain and prescribe exercise programs that take their symptoms into account.]]> Sat 24 Mar 2018 07:52:51 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36137 Fri 14 Feb 2020 14:48:05 AEDT ]]>