https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16783 Wed 11 Apr 2018 17:18:32 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25637 Wed 11 Apr 2018 15:50:24 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16758 Wed 11 Apr 2018 12:47:14 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20023 Wed 11 Apr 2018 11:10:56 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28028 Wed 04 Sep 2019 09:48:07 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:13532 40 drinks per month); and 3) lifetime consequences of alcohol use. Predictor variables included demographic factors, pre-dispositional factors, recent difficulties and support, mental health, rural exposure and district-level contextual factors. Results: Gender, age, marital status, and personality made the largest contribution to at-risk alcohol use. Five or more adverse life events in the past 12 months were also independently associated with at-risk alcohol use (Adjusted Odds Ratio [AOR] 3.3, 99%CI 1.2, 8.9). When these individual-level factors were controlled for, at-risk alcohol use was associated with having spent a lower proportion of time living in a rural district (AOR 1.7, 99%CI 1.3, 2.9). Higher alcohol consumption per month was associated with higher district-level socio-economic ranking, indicating less disadvantage (AOR 1.2, 99%CI 1.02, 1.4). Rural exposure and district-level contextual factors were not significantly associated with lifetime consequences of alcohol use. Conclusions: Although recent attention has been directed towards the potential adverse health effects of district or community level adversity across rural regions, our study found relatively few district-level factors contributing to at-risk alcohol consumption after controlling for individual-level factors. Population-based prevention strategies may be most beneficial in rural areas with a higher socio-economic ranking, while individual attention should be focused towards rural residents with multiple recent adverse life events, and people who have spent less time residing in a rural area.]]> Tue 08 Jan 2019 15:22:11 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12389 Sat 24 Mar 2018 08:18:01 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:10670 Sat 24 Mar 2018 08:12:09 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:10373 Sat 24 Mar 2018 08:08:50 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28569 Sat 24 Mar 2018 07:35:50 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24302 Sat 24 Mar 2018 07:14:38 AEDT ]]>