https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42639 n = 1088), a sub-study of the Australian 45 and Up Study, in combination with a matched cohort from the English Longitudinal Study of Ageing (ELSA) (n = 1139). Social rather than health characteristics were found to play a role in the selection of English migrants. English migrants reported higher subjective quality of life than English non-migrants, and better physical health than the Australian-born, but their mental health outcomes did not significantly differ from the other cohorts. The comparatively better later-life outcomes for the English migrants can partly be linked to advantage, as they hold higher prestige jobs than the Australian-born at lower levels of education.]]> Wed 31 Aug 2022 09:39:13 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:23839 Wed 19 Apr 2023 16:43:05 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24666 Wed 15 Dec 2021 16:09:24 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45001 n = 13,175) using the WHO Study on global AGEing and adult health (WHO SAGE). We used multivariable logistic regression to investigate urban-rural inequalities across regions, adjusting for sociodemographic and health covariates. Two main outcomes were self-rated overall health and functional limitations based on the WHO Disability Assessment Schedule 2.0 for a range of daily activities. Results: The largest urban-rural differences in adverse health outcomes were in Shandong (AORs for urban versus rural of 6.32 [95% Confidence Interval 4.53–8.82] for poor or very poor self-rated overall health and 5.14 [CI 3.55–7.44] for functional limitations), followed by Jilin (AORs 2.71 [CI 2.04–3.61] and 4.72 [CI 3.43–6.49]), and Hubei (AORs 2.36 [CI 1.82–3.07] and 4.11 [CI 2.80–6.04]), respectively. Covariates significantly associated with both adverse health outcomes were older age, poor income, no health insurance, and increasing number of chronic diseases. Conclusion: Our study reveals substantial disparities between urban and rural areas observed in both the welldeveloped areas (eg Shandong) and also the lower end of the economic spectrum (eg Hubei and Jilin). Targeted economic development policy and systematic health prevention and healthcare policies could be beneficial in improving health in later life whilst minimising geographical inequalities.]]> Wed 13 Mar 2024 19:11:27 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44388 Wed 12 Oct 2022 11:27:40 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24814 Wed 11 Apr 2018 12:25:15 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15598 Wed 11 Apr 2018 10:37:55 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33222 Wed 04 Sep 2019 09:55:43 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36417 Tue 28 Apr 2020 16:16:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30690 Thu 14 Apr 2022 10:58:31 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35778 Thu 09 Dec 2021 11:01:59 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15842 Sat 24 Mar 2018 08:24:15 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:11338 Sat 24 Mar 2018 08:13:29 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20259 Sat 24 Mar 2018 07:59:57 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27870 Fri 15 Oct 2021 10:58:36 AEDT ]]>