The changing impacts of social determinants on youth mental health in Australia.
Autor: | Baker DG; Orygen, Parkville, VIC, Australia.; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia., Wang M; Orygen, Parkville, VIC, Australia.; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia., Filia KM; Orygen, Parkville, VIC, Australia.; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia., Teo SM; Orygen, Parkville, VIC, Australia.; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia., Morgan R; Orygen, Parkville, VIC, Australia.; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia., Ziou M; Orygen, Parkville, VIC, Australia.; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia., McGorry P; Orygen, Parkville, VIC, Australia.; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia., Browne V; Orygen, Parkville, VIC, Australia.; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia., Gao CX; Orygen, Parkville, VIC, Australia.; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia.; Department of Epidemiology and Preventative Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia. |
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Jazyk: | angličtina |
Zdroj: | The International journal of social psychiatry [Int J Soc Psychiatry] 2024 Sep 26, pp. 207640241280910. Date of Electronic Publication: 2024 Sep 26. |
DOI: | 10.1177/00207640241280910 |
Abstrakt: | Aims: Most lifetime mental health disorders begin by age 25 years, and the prevalence among young people has been increasing over recent years. We sought to understand what impact, if any, social determinants have had on this increase through the analysis of an Australian longitudinal dataset (with data from 2007 to 2021). Methods: The analysis focused on five social determinants: loneliness and lack of social support, family relationships, participation in education and employment, receipt of government benefits and relative socio-economic status. We analysed cross-sectional changes in self-reported psychological distress between 2007 and 2021 (using the Kessler-10 item; K10 scores) and examined the effects of these five social determinants on psychological distress using weighted linear regression models. Results: We identified a significant increase in psychological distress among Australians from 2007 to 2021, with the sharpest rise among those aged 15 to 25 years, who saw more than doubling in the percentage of high and very high K10. This period also saw an increase in the prevalence of social determinants such as loneliness and lack of social support, as well as poor family relationships, particularly in 2021 post COVID-19 pandemic. Regression models suggest loneliness and lack of social support had the most pronounced and increasing impact on psychological distress, followed by poor family relationships. Discussion: The observed significant and steady increases in psychological distress and related social determinant factors, particularly loneliness and lack of social support among young people, highlight the urgent need for comprehensive actions. Coordinated research and community-based initiatives are needed to deliver intrapersonal, interpersonal and socially-focused interventions with a holistic approach to support psychosocial wellbeing. Policymakers must adopt a comprehensive shift in political commitment and a whole-of-government approach to address these challenges. Competing Interests: Conflict of interestThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: rygen is funded by the Australian Government Department of Health and Aged Care to provide technical advice and policy direction on a number of youth mental health topics, including social determinants. This is relevant for DB, RM and VB. |
Databáze: | MEDLINE |
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