The protective role of resilience and social support against burnout during the COVID-19 pandemic.

Background: The COVID-19 pandemic brought on a range of stressors in homes and workplaces. With no sign of ending after one year, burnout was a concern. Resilience has been known to shield against the effects of stress. While often thought of as an individual trait, previous studies have shown social support to improve resilience. The study aimed to examine the extent of burnout in the Singapore population and whether social support and resilience cushioned the impact of COVID-19 related stressors a year into the pandemic. Methods: Participants were 858 Singapore residents who participated in a larger study between October 2021 and September 2022. The Copenhagen Burnout Inventory provided Work-and Personal-related burnout scores. Multivariable linear regression was used to identify demographic variables associated with burnout. Path analysis revealed the associations between COVID-19 stressors, social support, resilience and burnout. Results: 22 and 19% of the sample reported work and personal burnout respectively, with younger adults being more burnt out than older adults. Higher stress was associated with higher burnout and higher social support was associated with lower burnout. Path analysis revealed that the relationship between social support and burnout was partially accounted for by increased resilience. Conclusion: Managing altered work arrangements, career expectations, and increased responsibilities at home may contribute to greater levels of burnout in the younger adults. Increased employer support and targeted interventions could mitigate the impact of these stressors. The study also highlighted the importance of maintaining social connections even while physically distancing.

Association between sleep quality and quality of life in Singapore.

PURPOSE: Several studies have examined the relationship between sleep quality and health-related quality of life (HRQOL). However, there are a lack of generalizable data on this association in Singapore. Our study aimed to (1) investigate the association between sleep quality and HRQOL and (2) examine whether age moderated these associations. METHODS: Data were obtained from nationwide Singapore Mental Health Study 2016 (n = 6126, response rate = 69.5%). Sleep quality was assessed using Pittsburgh Sleep Quality Index (PSQI) where higher scores indicate poorer sleep quality. HRQOL [Physical component summary (PCS) and Mental component summary (MCS)] were measured using 12-item Short-Form Survey. Associations were investigated using multivariable linear regression models, adjusted for sociodemographic, physical, and mental comorbidities. Interactions between age and sleep quality were examined by including interaction terms individually. RESULTS: Poorer PSQI score was significantly associated with lower PCS (ß = - 0.44) and lower MCS (ß = - 0.73). Among PSQI components, lower PCS was significantly associated with subjective sleep quality (ß = - 1.06), sleep duration (ß = - 0.30), sleep disturbance (ß = - 0.33), and daytime dysfunction (ß = - 0.75). Lower MCS was significantly associated with subjective sleep quality (ß = - 1.36), sleep latency (ß = - 0.24), sleep disturbance (ß = - 0.16), using of sleeping medication (ß = - 1.12), and daytime dysfunction (ß = - 2.08). Age moderated the association between PSQI score with PCS and MCS. Stronger association between PSQI score and MCS was observed in younger individuals (ß = - 0.90) than older adults (ß = - 0.45). CONCLUSION: Our study found that poor sleep quality was associated with HRQOL of certain age groups more than others. Future studies may identify potential mediators to help people with chronic sleep problems.