https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22891 Wed 11 Apr 2018 15:21:56 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49272 50 years old) at follow-up. Data were drawn from the first and second waves of the World Health Organization's Study on global AGEing and adult health. Self-report data captured sleep duration over two nights, and five cognitive tests (immediate and delayed verbal recall, forward and backward digit span, and verbal fluency) were used to measure various cognitive domains and create a composite z-score of cognitive performance. Linear regressions were performed to assess associations between sleep length changes and cognitive decline, controlling for relevant lifestyle and health factors. Increased sleep durations at follow-up among individuals who reported intermediate sleep durations (6-9 h/night) at baseline were significantly associated with greater rates of decline in overall cognitive function. Longer sleepers also trended toward greater rates of decline for attention/working memory and executive function. This study suggests that long sleep durations are a risk factor for certain types of impaired cognition among older adults living in a middle-income country. These findings are clinically important given the growing rates of dementia and aging populations globally.]]> Wed 10 May 2023 12:10:15 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34059 2.5) and smoking and their combined (interactive) effects on depression. Method: Multilevel logistic regression analysis of baseline data of a prospective cohort study (n=41 785). The 3-year average concentrations of PM_2.5 were estimated using US National Aeronautics and Space Administration satellite data, and depression was diagnosed using a standardised questionnaire. Three-level logistic regression models were applied to examine the associations with depression. Results: The odds ratio (OR) for depression was 1.09 (95% Cl 1.01-1.17) per 10μg/m³ increase in ambient PM_2.5, and the association remained after adjusting for potential confounding factors (adjusted OR=1.10, 95% CI 1.02-1.19). Tobacco smoking (smoking status, frequency, duration and amount) was also significantly associated with depression. There appeared to be a synergistic interaction between ambient PM 2.5 and smoking on depression in the additive model, but the interaction was not statistically significant in the multiplicative model. Conclusions: Our study suggests that exposure to ambient PM_2.5 may increase the risk of depression, and smoking may enhance this effect.]]> Thu 09 Dec 2021 11:03:15 AEDT ]]>