Abstract
Abstract
Background
Risk aversion due to depression is common among older adults, and social participation is associated with improved mental health and a lower risk of late-life depression. However, little is known about the connection between participation in social activities and risky financial decisions among adults with depression. Thus, we aim to examine the connection between participation in social activities and taking financial risks and investing in risky financial assets (with high-return potential) in such individuals, differentiated by age and gender. The study also focuses on analyzing the percentage of investors within each social activity, their attendance frequency, and motivation.
Methods
The data was obtained from the Survey of Health, Ageing and Retirement in Europe (SHARE) database Wave 2 (2006–2010). The study included 8,769 individuals aged 50 + with depression caseness, from 15 European countries and Israel who answered the question on participation in social activities and reported financial risk-taking intentions or behaviors (investing in stocks or shares, mutual funds or managed investment accounts, and both). The study utilized Pearson chi-square, odds ratios, Z, and hierarchical logistic regression tests.
Results
The odds for taking financial risks and investing in risky financial assets were higher for those participating in social activities compared to those who did not, on both intentional (by 173%) and behavioral (by 240–397%) levels. Such social activities (attended at least once a week, without financial motivation) have been shown to be primarily represented by educational or training courses — where 33% of participants invested in risky financial assets. The connection persisted after controlling for gender, age, marital status, children, income.
Conclusions
By overcoming the subjects’ financial risk aversion, participation in social activities may help improve mental health in individuals aged 50 + with depression caseness. This has important implications for policymakers in healthcare, who by updating healthcare policies can fund and facilitate participation in social activities. As a result, the national healthcare system may benefit from lower hospitalization-related expenses, and generate higher cash flows into the country’s economy using the population’s renewed interest in investing available funds. These results are relevant in the wake of COVID-19 that increased loneliness and depression rates.
Publisher
Springer Science and Business Media LLC
Reference84 articles.
1. Hammar Å, Årdal G. Cognitive functioning in major depression – a summary. Front Hum Neurosci. 2009;3(26):1–7. https://doi.org/10.3389/neuro.09.026.2009.
2. National Institute of Mental Health. Major Depression. 2019. Available from: https://www.nimh.nih.gov/health/statistics/major-depression.shtml. Accessed 18 Apr 2024.
3. Zuckerman H, Pan Z, Park C, Brietzke E, Musial N, Shariq AS, et al. Recognition and Treatment of Cognitive Dysfunction in Major Depressive Disorder. Front Psychiatry. 2018;9(655):1–11. https://doi.org/10.3389/fpsyt.2018.00655.
4. World Health Organization. Global burden of mental disorders and the need for a comprehensive, coordinated response from health and social sectors at the country level: Report by the Secretariat. Executive Board (EB130/9) 130th session, Provisional agenda item 6.2. 2011. Available from: https://apps.who.int/gb/ebwha/pdf_files/EB130/B130_9-en.pdf
5. Xiong J, Lipsitz O, Nasri F, Lui LMW, Gill H, Phan L, et al. Impact of COVID-19 pandemic on mental health in the general population: A systematic review. J Affect Disord. 2020;277:55–64. https://doi.org/10.1016/j.jad.2020.08.001.