Political Trust, Mental Health, and the Coronavirus Pandemic: A Cross-National Study

Economic activity and suicides: Causal evidence from macroeconomic shocks in England and Wales

The relationship between economic activity and suicides has been the subject of much scrutiny, but the focus in the extant literature has been almost exclusively on estimating associations rather than causal effects. In this paper, using data from England and Wales between January 1, 1997 and December 31, 2017, we propose a plausible set of assumptions to estimate the causal impacts of well-known macroeconomic variables on the daily suicide rate. Our identification strategy relies on scheduled macroeconomic announcements and professional economic forecasts. An important advantage of using these variables to model suicide rates is that they can efficiently capture the elements of 'surprise or shock' via the observed difference between how the economy actually performed and how it was expected to perform. Provided that professional forecasts are unbiased and efficient, the estimated 'surprises or shocks' are 'as good as random', and therefore are exogenous. We employ time series regressions and present robust evidence that these exogenous macroeconomic shocks affect the suicide rate. Overall, our results are consistent with economic theory that shocks that reduce estimated permanent income, and therefore expected lifetime utility, can propel suicide rates. Specifically, at the population level, negative shocks to consumer confidence and house prices accelerate the suicide rate. However, there is evidence of behavioural heterogeneity between sexes, states of the economy, and levels of public trust in government. Negative shocks to the retail price index (RPI) raise the suicide rate for males. Negative shocks to the growth rate in gross domestic product (GDP) raise the population suicide rate when the economy is doing poorly. When public trust in government is low, increases in the unemployment rate increase the suicide rate for females.

Psychological distress and voting behaviour in nine countries of the former Soviet Union

Poorer mental health is linked to a lower likelihood of voting in elections. However, little is known about this association in non-Western settings. This study examined the association between psychological distress and voting in nine countries of the former Soviet Union (FSU). Data were analysed from 18,000 respondents aged ≥ 18 in Armenia, Azerbaijan, Belarus, Georgia, Moldova, Kazakhstan, Kyrgyzstan, Russia and Ukraine collected during the Health in Times of Transition (HITT) survey in 2010/11. Information was collected on previous voting behaviour and future voting intentions. Psychological distress was assessed with a 12-item scale. In pooled multivariable logistic regression analyses psychological distress was significantly associated with 'never voting' (not having voted previously or intending to vote in future) and 'past voting only' (having voted previously but not intending to vote in future). In stratified analyses psychological distress was linked to never voting in women and working-age adults. The significant association between psychological distress and voting was observed only in hybrid political regimes. Psychological distress is associated with a reduced likelihood of voting in FSU countries especially among women, working-age adults and those in hybrid political regimes.

Prevalence and Related Factors of Depression Before and During the COVID-19 Pandemic: Findings From the Korea National Health and Nutrition Examination Survey

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic has greatly altered the daily lives of people in unprecedented ways, causing a variety of mental health problems. In this study, we aimed to evaluate the prevalence of depression among Korean adults during the COVID-19 pandemic and explore the factors associated with depressive mood using data from the Korea National Health and Nutrition Survey (KNHANES).

METHODS

We analyzed participants aged ≥ 19 years from KNHANES 2018 (n = 5,837) and 2020 (n = 5,265) to measure and compare the prevalence of depression before and during the COVID-19 pandemic. Depression was defined as a score ≥ 10 on the Patient Health Questionnaire-9. Furthermore, we performed a multivariate logistic regression analysis to investigate the independent predictors of depressive mood during the COVID-19 pandemic.

RESULTS

The prevalence of depression was notably higher during the COVID-19 pandemic than in the pre-pandemic period (5.2% vs. 4.3%, P = 0.043). In a multivariate model, female sex (adjusted odds ratio [aOR], 1.63; 95% confidence interval [CI], 1.10-2.41), age < 50 years (19-29 years: aOR, 7.31; 95% CI, 2.40-22.21; 30-39 years: aOR, 7.38; 95% CI, 2.66-20.47; 40-49 years: aOR, 4.94; 95% CI, 1.84-13.31 compared to ≥ 80 years), unemployment (aOR, 2.00; 95% CI, 1.41-2.85), upper-middle class household income (aOR, 1.83; 95% CI, 1.18-2.85 compared to upper-class income), being a beneficiary of Medicaid (aOR, 2.35; 95% CI, 1.33-4.14), poor self-rated health (aOR, 4.99; 95% CI, 1.51-3.47 compared to good self-rated health), and current smoking (aOR, 2.29; 95% CI, 1.51-3.47) were found to be significant risk factors for depression during the pandemic.

CONCLUSION

Depression was significantly more prevalent among Korean adults during the COVID-19 pandemic than in the pre-pandemic era. Therefore, more attention should be paid to individuals vulnerable to depression during pandemics. Implementing psychological support public policies and developing interventions to prevent the adverse outcomes of COVID-19-related depression should be considered.