The coronavirus disease 2019 (COVID-19) pandemic drastically modified the occupational system wherein telecommuting has risen as the major form of work. Few studies have incorporated Karasek’s job demand-control (JDC) model into explaining the health effects of telecommuting. This study aimed to investigate the health risk in South Korean telecommuters during the pandemic, and its distribution according to the job stress-related factors.

A nationwide population-based cross-sectional study of South Korean laborers was conducted, utilizing the 6th Korean Working Conditions Survey (2020–2021). Following the previously described concept of telecommuting, 14,478 white-collar employees were eligible study participants. Telecommuting, job demand, job control, and various health indicators were measured by the responses to the survey. Participants were stratified into 4 job profiles classified by the JDC model. We conducted multiple logistic regression analyses between telecommuting and health-related outcomes to estimate the odds ratio (OR) with a 95% confidence interval (CI).

One hundred forty-six low-strain, 223 active, 69 passive, and 148 high-strain workers were screened as telecommuters. Compared to office workers, telecommuters had a higher proportion in high job control groups. Subgroup analysis demonstrated different relationships between telecommuting and health, where only active telecommuters showed a higher prevalence of depression (OR: 1.980, 95% CI: 1.126–3.481), and high-strain telecommuters were affected in most outcomes including insomnia (OR: 2.555, 95% CI: 1.473–4.433), musculoskeletal pain (OR: 2.786, 95% CI: 1.719–4.517), headache/eye strain (OR: 3.074, 95% CI: 1.992–4.745) and presenteeism (OR: 1.932, 95% CI: 1.193–3.131).

This study revealed significantly increased odds of multiple health outcomes among South Korean telecommuters during the COVID-19 pandemic era. High-strain job holders were prominently susceptible to the negative health impacts of telecommuting. Occupational health management towards telecommuters should approach mitigating high job demand and low job control.

The purpose of this study is to investigate the relationship between job stress and impaired fasting glycemia (IFG) of male workers in a manufacturing industry.

Data were collected from 5,886 male workers in a manufacturing industry who participated in the medical examination from June 19 to August 14, 2020 through self-reported questionnaires. The general characteristics of the subjects, shift work, high blood pressure, dyslipidemia, and job stress were included. Job stress was measured using the Korean Occupational Stress Scale (KOSS) consisting of 8 items and 43 questions. Multivariable logistic regression analysis was used to investigate the IFG association with job stress.

Among the various factors that can cause job stress, only high job demand was associated with a risk of IFG (odds ratio, 1.43; 95% confidence interval, 1.13–1.82) especially in non-shift worker. For all other factors, no statistically significant results were obtained.

In this study of male workers engaged in the Korean steel manufacturing industry, the 'job demand' item among job stress of non-shift worker was related to IFG.

Presenteeism refers to the phenomenon of working while sick. Its development can be attributed to not only somatic symptoms but also underlying social agreements and workplace atmosphere. In this study, we analyzed presenteeism among workers from various industries, focusing on job-related stress with stratification on the presence of depression.

We conducted the study with data from questionnaires filled in by different enterprises enrolled in the Federation of Korean Trade Unions. Workers' depressive symptoms were investigated using the Patient Health Questionnaire-2, while questions on job-related stress and presenteeism were derived from the short form of the Korean Occupational Stress Scale and the official Korean version of the Work-Productivity and Activity Impairment Questionnaire-General Health, respectively. Multilevel logistic analysis was conducted to determine the statistical differences derived from the differences between companies.

In total, 930 participants (753 men and 177 women) from 59 enterprises participated in the research. We conducted multilevel logistic regression to determine the association between the variables and presenteeism, with stratification by the presence of depression. Higher job demands and higher interpersonal conflict showed significantly elevated odds ratios (ORs) in univariate models and in the multivariate multilevel model. In the final model of total population, fully adjusted by general and work-related characteristics, higher job demands (OR: 3.29, 95% confidence interval [CI]: 2.08–5.21) and interpersonal conflict (OR: 1.87, 95% CI: 1.29–2.71) had significantly higher ORs—a tendency that remained in participants without depression.

This study reflected the factors associated with presenteeism among workers from various enterprises. The findings revealed that job-related stress was closely related to presenteeism in both the total population and in the population without depression. Thus, it emphasized interventions for managing job stress among workers to reduce presenteeism in general workers' population.