Background: Social distancing by working-from-home is an effective measure to decrease the spread of COVID-19. However, this new work pattern could also affect the well-being of workers. Therefore, the aim of the study was to study the magnitude of occupational health problems and lifestyle changes among workers who have only recently started working from home. Methods: A cross-sectional study was conducted using online self-administered questionnaires during the coronavirus disease 2019 pandemic in the Bangkok metropolitan area, Thailand. The participants were from any organization that allowed working from home. The demographic data including the analysis of the characteristics of working from home, the occurrence of occupational health problems, and the lifestyle changes caused by working from home were analyzed. Results: A total of 869 workers were included as study participants. The highest prevalence of physical health problems among all workers was identified to be weight gain at a rate of 40.97% (95% confidence interval = 37.69–44.24), and the highest prevalence of psychosocial problems was identified to be cabin fever at a rate of 31.28% (95% confidence interval = 26.66–35.90%) among full-time working-from-home workers. The health effects that were significantly related to the intensity of working from home (p for trends <0.05), either positively or negatively, included body weight changes, ergonomic problems, indoor environmental problems, and psychosocial problems. Meanwhile, the lifestyle changes related to work intensity included eating pattern, sleep habits, and exercise. Conclusions Working from home can affect workers' well-being in various aspects. Hence, occupational health providers must prepare for risk prevention and health promotion in this “new normal” working life pattern and for future pandemics.

Background: Social distancing by working-from-home is an effective measure to decrease the spread of COVID-19. However, this new work pattern could also affect the well-being of workers. Therefore, the aim of the study was to study the magnitude of occupational health problems and lifestyle changes among workers who have only recently started working from home. Methods: A cross-sectional study was conducted using online self-administered questionnaires during the coronavirus disease 2019 pandemic in the Bangkok metropolitan area, Thailand. The participants were from any organization that allowed working from home. The demographic data including the analysis of the characteristics of working from home, the occurrence of occupational health problems, and the lifestyle changes caused by working from home were analyzed. Results: A total of 869 workers were included as study participants. The highest prevalence of physical health problems among all workers was identified to be weight gain at a rate of 40.97% (95% confidence interval = 37.69–44.24), and the highest prevalence of psychosocial problems was identified to be cabin fever at a rate of 31.28% (95% confidence interval = 26.66–35.90%) among full-time working-from-home workers. The health effects that were significantly related to the intensity of working from home (p for trends <0.05), either positively or negatively, included body weight changes, ergonomic problems, indoor environmental problems, and psychosocial problems. Meanwhile, the lifestyle changes related to work intensity included eating pattern, sleep habits, and exercise. Conclusions Working from home can affect workers' well-being in various aspects. Hence, occupational health providers must prepare for risk prevention and health promotion in this “new normal” working life pattern and for future pandemics.

Objectives: To develop and investigate the effectiveness of an integrative counseling intervention for enhancing social intelligence and reducing bullying behaviors among lower secondary school students in Bangkok, Thailand. Methods: An interventional mixed-method design was employed in 2 phases. Phase 1 involved the development of a qualitative method-based integrative counseling program from key informants using the eclecticism technique. In phase 2, a randomized controlled trial with a wait-list control was conducted and qualitative research was performed with students who demonstrated bullying behaviors. Demographic data, Social Intelligence Scale (SIS) scores, and Bullying-Behavior Scale (BBS) scores were collected at baseline. Changes in SIS scores and qualitative findings obtained from in-depth interviews were examined after counseling ended, and BBS scores were collected again 1 month later. Results: The developed social intelligence counseling program included eight 1-hour weekly sessions consisting of 3 components: (1) social awareness, (2) social information processing, and (3) social skills. After receiving this intervention, scores for the SIS overall (p<0.001) and all of its components (p<0.05) were significantly enhanced in the experimental group compared to the control group. Moreover, the mean BBS scores in the experimental group significantly decreased 1 month after counseling (p=0.001). With regard to the qualitative research results, the experimental students demonstrated improvements in all components of social intelligence. Conclusions The results indicated that a preventive counseling program may enhance social intelligence, decrease bullying behaviors among lower secondary school students, and prevent further incidents of school violence. However, further studies in various population subgroups should also be performed.

Objectives: To develop and investigate the effectiveness of an integrative counseling intervention for enhancing social intelligence and reducing bullying behaviors among lower secondary school students in Bangkok, Thailand. Methods: An interventional mixed-method design was employed in 2 phases. Phase 1 involved the development of a qualitative method-based integrative counseling program from key informants using the eclecticism technique. In phase 2, a randomized controlled trial with a wait-list control was conducted and qualitative research was performed with students who demonstrated bullying behaviors. Demographic data, Social Intelligence Scale (SIS) scores, and Bullying-Behavior Scale (BBS) scores were collected at baseline. Changes in SIS scores and qualitative findings obtained from in-depth interviews were examined after counseling ended, and BBS scores were collected again 1 month later. Results: The developed social intelligence counseling program included eight 1-hour weekly sessions consisting of 3 components: (1) social awareness, (2) social information processing, and (3) social skills. After receiving this intervention, scores for the SIS overall (p<0.001) and all of its components (p<0.05) were significantly enhanced in the experimental group compared to the control group. Moreover, the mean BBS scores in the experimental group significantly decreased 1 month after counseling (p=0.001). With regard to the qualitative research results, the experimental students demonstrated improvements in all components of social intelligence. Conclusions The results indicated that a preventive counseling program may enhance social intelligence, decrease bullying behaviors among lower secondary school students, and prevent further incidents of school violence. However, further studies in various population subgroups should also be performed.