Objective: A new system for the regulation of chemical substances was introduced in Japan in April 2023. Unlike delineated rules, the new system does not specify any specific measures for individual substances, but is rather based on the management of health through the voluntary implementation of measures in order to reduce exposure to all dangerous/hazardous chemical substances. Regarding specific methods, exposures will be mainly elucidated through the measurement of a work environment. However, the necessity of biological monitoring should also be considered. This study aimed to identify the importance of biological monitoring by reviewing changes made over time in biological monitoring methods used for occupational poisoning. Method: The study presents occupational poisoning by several compounds (methyl bromide, polycyclic aromatic hydrocarbons, and MOCA) and the corresponding biological monitoring methods utilized, as researched by the author. Changes in biological monitoring based on the history of the Study Group on Occupational Poisoning and Biological Monitoring of the Japan Society for Occupational Health are also introduced. Results: The areas of occupational poisoning at different times and cases of occupational cancer caused by exposure to chemical substances were presented in lectures held by the Study Group on Occupational Poisoning and Biological Monitoring. These lectures showed that although biological monitoring was previously implemented primarily by measuring the urinary metabolites of the exposed substance, the monitoring methods used have changed as the nature of exposure has changed, leading to the development of new tools that detect trace, low concentration, and mixed exposures. Conclusion: The health management of workers handling chemical substances at occupational sites will be shifted to autonomous management. However, it should be noted that only biological monitoring can detect and prove true exposure. Particularly, risk assessment by biological monitoring is necessary for substances that are suspected to be absorbed through the skin, and the measurement methods used should continue to be developed and refined. The significance of biological monitoring will continue to increase.

Objectives: Since the 1990s, overseas research on public service motivation (PSM), a motivation unique to public employees, has been ongoing. However, only recently has empirical studies on PSM in Japan begun, it has been suggested that the PSM scales developed overseas cannot be applied directly to Japan. This study aimed to examine the constructs of PSM in Japan, develop a scale to measure PSM, and verify its reliability and validity. Methods: Semi-structured interviews were conducted with 21 civil servants holding administrative positions in Japan, and a draft of the PSM scale was developed. Subsequently, an online survey of 402 civil servants in their 20s to 60s (395 valid responses) was conducted, and the factor structure of the PSM scale was confirmed using exploratory factor analysis. In addition, the reliability was assessed by calculating the alpha coefficient, and the validity was verified through correlation analysis with related concepts. Results: The outcomes of the exploratory factor analysis classified PSM into six factors: “social impact orientation,” “social justice orientation,” “community orientation,” “future and evolution orientation,” “authority orientation,” and “helping the weak orientation,” with sufficient alpha coefficients. Regarding validity, significant positive associations between PSM and work engagement, performance, work motivation, and job satisfaction were confirmed. Conclusion: The Japanese version of the PSM scale developed in this study was confirmed to exhibit a satisfactory level of reliability and validity and may be used to measure PSM among Japanese public employees.

Objectives: Changing the mode of commuting from nonactive by car or motorcycle to active by walking, cycling, or public transport is expected to benefit health. However, the proportion of nonactive commuters who can change their commute mode to active forms remains unclear. The aim of this study was to determine the proportions of nonactive commuters and of those who can change their commute mode to an active form in various regions in Japan. Methods: In this descriptive study, data were used from an online survey conducted from April to May 2021. Participants included 3,000 adults (20 to 79 years), who were registered with an online survey company. Workers were asked their means of transportation to work and commuting time. Workers using a car or motorcycle for more than 1 minute for commuting were defined as nonactive commuters, and the others were defined as active commuters. Then, nonactive commuters were asked about the possibility of changing their commute mode to active commuting (0%–100%, 11 options in 10% increments). The possibility of change was classified into four groups, i.e., impossible (0%), difficult (10%–40%), probably possible (50%–90%), and possible (100%). The proportions of nonactive commuters and nonactive commuters who can transition to active commuting were described by region. Results: A total of 2,683 participants answered the survey, including 1,647 workers, of whom 1,551 were commuters. The nonactive commuters accounted for 41.4% of commuters overall. The proportion of nonactive commuters was higher in rural than in urban regions. The proportion of nonactive commuters who could change their commute mode was 32.9% of the nonactive commuters or 12.8% of all workers. Among the nonactive commuters, the proportion who could change their commute mode was higher in urban than in rural regions. Of the total workers, the proportion of nonactive commuters who could change their commute mode was higher in rural regions. Conclusion: Nonactive commuters accounted for 41.4% of all commuters. The proportion of nonactive commuters who could change their commute mode among nonactive commuters was higher in urban regions. However, in rural regions, as the proportion of nonactive commuters was high, the proportion of nonactive commuters who could change their commute mode among total workers was also high. These results suggest that some of nonactive commuters can change their commute mode from nonactive to active commuting, in rural as well as in urban regions.