Depressive symptoms and social support among Australian men: A 7-year longitudinal study

Author:

Rowland Bosco123ORCID,Swami Neha1,Prattley Jennifer1,Duffy Jacob1,Macdonald Jacqui A345ORCID,Perales Francisco6,Mansour Kayla A3,Quinn Brendan178ORCID

Affiliation:

1. Australian Institute of Family Studies, Melbourne, VIC, Australia

2. Faculty of Medicine, Eastern Health Clinical School, Monash Addiction Research Centre, Monash University, Melbourne, VIC, Australia

3. Faculty of Health, Centre for Social, Early, Emotional Development, Deakin University, Geelong, VIC, Australia

4. Centre for Adolescent Health, Murdoch Children’s Research Institute, Parkville, VIC, Australia

5. Faculty of Medicine, Dentistry & Health Sciences, Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia

6. Faculty of Humanities and Social Sciences, School of Social Science, The University of Queensland, QLD, Australia

7. Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia

8. Behaviours and Health Risks Program, Burnet Institute, Melbourne VIC, Australia

Abstract

Background: Mental health disorders are ranked globally as the single largest contributor to non-fatal ill-health. Social support can be a means of reducing and managing depression. However, depression can also impact on a person’s level of social support. Objective: As men typically have fewer sources of social support than females, this study investigated the bi-directional associations between depressive symptoms and perceived levels of social support among Australian males, aged 18–63. Methods: Three waves of panel data from Ten to Men: The Australian Longitudinal Study on Male Health collected over 7 years (2013–2020) were used. A random intercept cross-lagged panel analysis with 5112 participants was undertaken. Mediating effects and indirect and total effects for lagged and cross-lagged pathways were also examined. Results: Over time, greater social support was found to be associated with lower depression levels, and simultaneously greater levels of depression was found to be associated with lower levels of social support. Standardised cross-lagged effects between waves were mostly similar (β = 0.10). However, mediation analyses identified that only the total effect size of the association for depression at wave 1 predicting social support at wave 3 (β = −0.29) was significant. Mediated effects of social support at wave 1 predicting depression at wave 3 were not significant. Limitations: These include the number of years between each wave, and data were collected during the COVID pandemic. Conclusion: The study provides robust longitudinal evidence supporting the notion that social support and depression are both a cause and consequence of the other. However, the long-term effects of depression reducing social support were longer lasting than the effects of social support reducing depression.

Publisher

SAGE Publications

Subject

Psychiatry and Mental health,General Medicine

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