https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Socio-Demographic, Self-Control, Bullying, Parenting, and Sleep as Proximal Factors Associated with Food Addiction among Adolescents https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51148 Wed 23 Aug 2023 16:06:42 AEST ]]> Factors associated with adolescents' engagement with a Healthy Lifestyles app https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52423 Wed 11 Oct 2023 12:07:06 AEDT ]]> Recruiting for health, medical or psychosocial research using Facebook: systematic review https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24858 Wed 11 Apr 2018 10:54:42 AEST ]]> Free smoking cessation mobile apps available in Australia: a quality review and content analysis https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31287 Wed 11 Apr 2018 09:52:12 AEST ]]> Social influence, addictions and the Internet: the potential of Web 2.0 technologies in enhancing treatment for alcohol/other drug use problems https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:13831 Tue 24 Aug 2021 14:29:26 AEST ]]> A multiple health behavior change, self-monitoring mobile app for adolescents: development and usability study of the Health4Life app https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45077 Tue 21 Mar 2023 16:58:28 AEDT ]]> Therapeutic alliance in psychological treatment for depression and alcohol use comorbidity: The client's perspective. https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43849 Tue 04 Oct 2022 11:53:52 AEDT ]]> A mobile phone-based healthy lifestyle monitoring tool for people with mental health problems (MyHealthPA): Development and pilot testing https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34997 Tue 03 Sep 2019 18:01:15 AEST ]]> Is a person thinking about suicide likely to find help on the internet? An evaluation of Google search results https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27332 Thu 27 Jan 2022 15:57:27 AEDT ]]> Measurement Properties of Smartphone Approaches to Assess Diet, Alcohol Use, and Tobacco Use: Systematic Review https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48250 Thu 04 May 2023 09:05:35 AEST ]]> An improved brief measure of cannabis misuse: the Cannabis Use Disorders Identification Test-Revised (CUDIT-R) https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:9352 Sat 24 Mar 2018 08:36:34 AEDT ]]> From comorbidity to multiple health behaviour change https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15600 Sat 24 Mar 2018 08:22:55 AEDT ]]> Healthy lifestyle intervention for people with severe mental disorders https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15890 Sat 24 Mar 2018 08:22:49 AEDT ]]> Factors Predicting Trial Engagement, Treatment Satisfaction, and Health-Related Quality of Life During a Web-Based Treatment and Social Networking Trial for Binge Drinking and Depression in Young Adults: Secondary Analysis of a Randomized Controlled Trial https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49527 Mon 22 May 2023 08:31:19 AEST ]]> Age-varying associations between lifestyle risk factors and major depressive disorder: A nationally representative cross-sectional study of adolescents https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46397 n = 2967) and time-varying effect models were used to investigate the associations between lifestyle risk factors and the prevalence of MDD by sex. Results: The estimated prevalence of MDD significantly increased among adolescents from 4% (95% CI 3–6%) at 13 years of age to 19% (95% CI 15–24%) at 16 years of age. From the age of 13, males were significantly less likely to have a diagnosis of MDD than females with the maximum sex difference occurring at the age of 15 (OR 0.24, 95% CI 0.13–0.47). All lifestyle risk factors were at some point significantly associated with MDD, but these associations did not differ by sex, except for body mass index. Discussion: These findings suggest that interventions designed to prevent the development of depression should be implemented in early adolescence, ideally before or at the age of 13 and particularly among young females given that the prevalence of MDD begins to rise and diverge from young males. Interventions should also simultaneously address lifestyle risk factors and symptoms of major depression.]]> Mon 21 Nov 2022 14:57:46 AEDT ]]> Prevalence and correlates of addictive eating behaviours in a large cohort of Australian adolescents https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51573 Mon 11 Sep 2023 14:31:14 AEST ]]> Health4Life eHealth intervention to modify multiple lifestyle risk behaviours among adolescent students in Australia: a cluster-randomised controlled trial https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53115 Fri 17 Nov 2023 11:27:53 AEDT ]]> A web-based intervention to prevent multiple chronic disease risk factors among adolescents: co-design and user testing of the health4life school-based program. https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44463 Fri 14 Oct 2022 09:27:34 AEDT ]]> Measurement Properties of Smartphone Approaches to Assess Physical Activity in Healthy Young People: Systematic Review https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51373 Fri 01 Sep 2023 13:41:09 AEST ]]>