Psychosocial and financial well-being mediated the effects of COVID-19 distress on suicidality: a serial mediation model among Hong Kong young adults.

PURPOSE: The COVID-19 pandemic has brought significant distress on not only the physical health but also mental health of individuals. The present study investigated the direct and indirect effects from COVID-19 distress to suicidality via psychosocial and financial well-being among young people. METHODS: This cross-sectional survey recruited 1472 Hong Kong young people via random sampling in 2021. The respondents completed a phone survey on COVID-19 distress, the four-item Patient Health Questionnaire and items on social well-being, financial well-being, and suicidality. Structural equation modeling (SEM) was conducted to examine the direct and indirect effects of COVID-19 distress on suicidality via psychosocial and financial well-being. RESULTS: The direct effect of COVID-19 distress on suicidality was not significant (ß = 0.022, 95% CI - 0.097-0.156). The total indirect effect from COVID-19 distress to suicidality was significant and positive (αßγ = 0.150, 95% CI = 0.085-0.245) and accounted for 87% of the total effect (B = 0.172, 95% CI = 0.043-0.341). There were significant specific indirect effects via social well-being and psychological distress, and financial well-being and psychological distress. CONCLUSION: The present findings support different pathways from COVID-19 distress to suicidality via functioning in different domains among young people in Hong Kong. Measures are needed to ameliorate the impact on their social and financial well-being to reduce their psychological distress and suicidality.

Gender differences in the relationships between meaning in life, mental health status and digital media use during Covid-19.

BACKGROUND: The COVID-19 pandemic has had a significant impact on individuals' social lives, mental health status, and meaning in life (MIL). Globally, the use of different types of digital media has become a proxy for pre-COVID social lives for many people. This study investigated gender differences in the relationship between use of digital media, mental health status and MIL, during COVID-19 in Hong Kong. METHODS: This cross-sectional study surveyed 1,488 young people recruited via city-wide random sampling in 2021. Respondents completed a phone survey on digital media use, Patient Health Questionnaire (PHQ-2), Generalized Anxiety Disorder (GAD-2), COVID-19 impact, meaning in life, and demographics. Gender differences in MIL were tested with an independent sample t-test. Gender-specific multiple linear regression models tested associations between MIL and explanatory variables of age, educational level, history of diagnosis, digital media use, and mental health status. RESULTS: There was a significant gender difference in MIL (males (M = 12.90, SD = 4.12); females (M = 13.45, SD = 3.96); t (1485) = -2.656, p = .008). For males, all variables significantly associated to MIL (F (9, 759) = 15.731, p < .000, R2 = .157). However, for females, while the overall model for MIL was significant (F (9, 709) = 12.105, p < .001, R2 = .133), the only significant associated variable was mental health status. CONCLUSION: Females had significantly better MIL under COVID-19 than males. Digital media use contributed to MIL in males but not females, and there were gender-specific associated factors of MIL.