Telecommuting-related health outcomes during the COVID-19 pandemic in South Korea: a national population-based cross-sectional study

Exploring the characteristics and health outcomes of working from home: Analysis of 2021 California Health Interview Survey data

BACKGROUND

Working from home (WFH) may affect health behaviors and mental health. The coronavirus disease-2019 (COVID-19) pandemic saw many US employees transition to WFH, which has persisted in various job sectors and significantly impacted employees. However, its effects on health outcomes have remained unclear. We aimed to explore the characteristics and health outcomes of, and health-related differences between, WFH and not-WFH groups.

METHODS

Using the 2021 California Health Interview Survey data, we analyzed health behaviors (smoking, alcohol consumption, and fruit-related nutrition) and the mental health status of 12,438 individuals using descriptive statistics, Pearson's χ2 test, and regressions.

RESULTS

A total of 39% were WFH and 61% were not-WFH. Overall, the WFH group had worse health behaviors and mental health than the not-WFH group. Age was associated with smoking in both groups (WFH: b = 0.37; not-WFH: b = 0.35), but with fruit-related nutrition only in the WFH group. Household income and occupation were associated with alcohol consumption in both groups. Age (WFH: b = -1.58; not-WFH: b = -1.39), household income (WFH: b = -0.75; not-WFH: b = -0.34), and job duration (WFH: b = -0.34; not-WFH: b = -0.40) were associated with mental health in both groups; those who were younger and had lower household incomes and job durations had worse mental health.

CONCLUSION

Health management is a clear necessity for the WFH group. Irrespective of WFH status, young workers with shorter than 5 years' job duration reported mental distress, highlighting a need for distress assessment and management for the young workforce.

Prevalence of dry eye during the COVID-19 pandemic: A systematic review and meta-analysis

OBJECTIVE

During the COVID-19 pandemic, many people devoted longer time to screen viewing due to the need for study, work, and online social activities, instead of outdoor activities, which may have led to an increase in dry eye symptoms. This study aimed to evaluate the prevalence of dry eye during the COVID-19 pandemic.

METHODS

PubMed, Cochrane Library, Embase, and Web of Science were searched from January 1, 2020 to October 20, 2022. Cross-sectional surveys on dry eye prevalence conducted after January 1, 2020 were included. Two review authors independently performed data extraction and assessed study quality. The random-effects model was used to analyze the prevalence of dry eye, and the odds ratio was used to assess the strength of the association between variables. Subgroup analysis was performed to detect heterogeneity, the leave-one-out method for sensitivity analysis, and the Egger test for publication bias.

RESULTS

A total of eleven studies with 15692 individuals met the eligibility criteria. The prevalence of dry eye during the COVID-19 pandemic was 61.0% (95%CI: 51.8%-70.2%) globally and 56.7% (95%CI: 45.3%-68.1%) in Asia. The prevalence of dry eye had significant differences in sex and visual display time, with higher prevalence among females and visual display time of more than 4 hours per day. Subgroup analysis was performed based on diagnostic tools, study population, and average age. A significant difference was found in diagnostic tools, but no significant change in heterogeneity (P<0.05). The leave-one-out method showed stable results, and the Egger test identified no significant publication bias.

CONCLUSION

The prevalence of dry eye during the COVID-19 pandemic is significantly higher than before, and a higher prevalence is found among females and those having a visual display time of more than 4 hours per day.