https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24167 I² = 0%); however, only one study included in the meta-analysis successfully changed sleep duration in children. There were some reported improvements to adolescent diet, and only one trial examined the impact on child physical activity, where a significant effect was observed. Conclusions Findings from the included studies suggest that where improvements in child sleep duration were achieved, a positive impact on child BMI, nutrition, and physical activity was also observed.]]> Wed 24 Jun 2020 14:12:39 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:6811 Wed 11 Apr 2018 15:33:23 AEST ]]> https://ogma.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://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28021 Thu 22 Jun 2017 09:34:21 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:4521 Sat 24 Mar 2018 10:57:43 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:7040 Sat 24 Mar 2018 08:37:55 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12452 Sat 24 Mar 2018 08:17:49 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46119 N = 8,177) were followed up every 2 to 3 years to ages 37 to 42 using the Australian Longitudinal Study on Women's Health. A latent class analysis identified obesity-risk classes based on time-dependent measures of income, education, physical activity, sleep quality, dietary behavior, depression, stressful events, and social functioning. Cox proportional hazards regression models examined associations between incident obesity and latent classes, controlling for covariates. Results: Four latent classes were identified, including a lower-risk referent class and classes characterized by poor exercise and diet, stress and low income, and multiple intermediate-level risks. Compared with the referent, all three risk classes had significantly higher obesity risk, with the highest risk in the stress and low-income group (hazard ratio = 2.22; 95% CI: 1.92-2.56). Individual risks associated with obesity included lower education, stressful life events, and lower vigorous physical activity. Conclusions: Young women without baseline obesity were at risk of developing obesity when they experienced co-occurring behavioral, socioeconomic, and psychosocial risks. Both latent classes and individual risk indicators offer insights into prevention strategies.]]> Fri 11 Nov 2022 15:01:11 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30382 Fri 03 Dec 2021 10:34:10 AEDT ]]>