Safety and Health at Work最新文献

Background

The aim of this research is to analyze the transformation of workers perceptions of the safety climate in an oil and gas company in Indonesia when they experience a change in ownership from a multinational to a national company.

Methods

This cross-sectional study used questionnaires distributed offline and online in three periods of ownership of Company X. Data analysis was carried out descriptively by comparing workers perception scores regarding the safety climate at Company X when managed by the multinational holder, transition period, and national holder.

Results

Workers perceptions of the safety climate in Company X when it experienced a change in ownership from a multinational company to a national company has a trend of decreasing scores (from 8.07 to 7.48). Overall, a decreasing trend in scores occurred in several sub-variables of safety climate, namely management commitment (8.33 to 7.56), communication (8.10 to 7.64), safety priority (8.55 to 7.68), personal appreciation of risk (8.25 to 5.48), involvement (7.50 to 7.36), and personal priority and need for safety (8.25 to 5.48).

Conclusions

Ownership changes cause a trend of decrease in employee perceptions of the safety climate at Company X. Company's priority on safety related to production target factors is decreasing due to the change of ownership. On the other hand, the national period had a higher score in supportive environments and work environments, compared to the multinational period.

Background

Organizational downsizing may be significantly linked to depressive symptoms, yet research on this impact in Asian contexts is limited. This study investigates the association between downsizing during the COVID-19 pandemic and depressive symptoms across diverse employment statuses.

Methods

This study used the data from 6th Korean Working Conditions Survey. Depressive symptoms were measured using WHO-5 well-being index with a cut-off of 50. Downsizing was defined as decrease in the number of employees during last three years. Multivariable logistic regression adjusted for socio-demographic and occupational factors was used to estimate the adjusted odds ratio (OR) and 95% confidence interval (CI) for depressive symptoms associated with downsizing, including subgroup analyses.

Results

Among 26,247 Korean workers (mean age: 43.4, men: 47.5%), the prevalence of depressive symptoms was 29.5% (n = 7,751), and the proportion of downsizing was 15.2% (n = 3,978). The prevalence of depressive symptoms was significantly higher among the downsizing group (36.7%, n = 1,460) than among the no-downsizing group (28.3%, n = 6,291). The result of logistic regression revealed a significant association between downsizing and depressive symptoms (adjusted OR [95% CI]: 1.39 [1.29–1.50]), particularly pronounced among high socioeconomic status workers.

Conclusion

This study underscores the significant association between depressive symptoms and organizational downsizing, especially high vulnerability of socioeconomically advantaged and stable workers. These findings highlight the necessity for targeted mental health support and further longitudinal research to clarify the relationship between employment changes and mental health within the Korean workforce.

Introduction

Following the Republic of Korea electric power industry site-specific safety management system, this paper proposes a novel safety autonomous platform (SAP) architecture that can automatically and precisely manage on-site safety through ensemble artificial intelligence (AI) models. The ensemble AI model was generated from video information and worker's biometric information as learning data and the estimation results of this model are based on standard operating procedures of the workplace and safety rules.

Methods

The ensemble AI model is designed and implemented by the Hadoop ecosystem with Kafka/NiFi, Spark/Hive, HUE, and ELK (Elasticsearch, Logstash, Kibana).

Results

The functional evaluation shows that the main function of this SAP architecture was operated successfully.

Discussion

The proposed model is confirmed to work well with safety mobility gateways to provide some safety applications.

Background

Sickness presenteeism (SP) has gained attention in occupational health. This study aimed to analyze the relationship between SP and depressive symptoms by occupation and employment type during the COVID-19 pandemic in Korea.

Methods

Community Health Survey data (August 16 to October 31, 2020–2021) were used to assess depressive symptoms and SP among workers (n = 221,241; mean age 46.0; 53.5% male). Depressive symptoms were measured using the Patient Health Questionnaire-9, and SP was defined by the ability to rest at home when exhibiting COVID-19 symptoms. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) of depressive symptoms were estimated using multiple logistic regression analyses for each sex and year stratum. The interaction between SP and occupation on depressive symptoms was assessed using relative excess risk due to interaction (RERI).

Results

The prevalence of depressive symptoms was higher in individuals with SP than in those without SP (4.22% [n = 696] vs. 1.89% [n = 3861], respectively). After adjusting for demographic and occupational variables, the association between SP and depressive symptoms was significant in both sexes in 2020 and 2021 (OR [95% CI]: 2.18 [1.82–2.62], 2.41 [1.97–2.93], 2.05 [1.77–2.38], 2.47 [2.11–2.88] for male–2020, male–2021, female–2020, and female–2021, respectively). A marginally significant interaction between service workers and SP on depressive symptoms was observed among male workers in 2021 (RERI = 2.37, 95% CI = [−0.04–4.78]) but not in other strata.

Conclusion

SP is significantly associated with depressive symptoms in Korean workers across employment and occupational types, with a prominent association in service workers.

Background

This research suggested a method for evaluating health and safety performance as a combination of reactive and active monitoring.

Methods

A number of Freedom of Information requests (FoI) were sent to the Health and safety Executive (HSE) and 100 UK universities. Data on the number of reportable incidents, diseases and dangerous occurrences were compiled for UK universities and combined with the Impact Ranking for good health and well-being. A semi-structured survey was used to identify best H&S practices. Subsequently, the effect of workers' involvement in H&S management on RIDDOR and near-miss reports, was investigated using statistical analysis.

Results

A ranking of UK universities that perform highly in Health and Safety (H&S) was assembled and selected universities were contacted to identify best practices. Best practices were divided into three categories: team management, roles and responsibilities, and H&S performance monitoring. One of the findings demonstrated a reverse dependence between provision of a refresher training in risk assessments and a number of reported RIDDOR incidents.

Conclusion

Health and Safety professionals in the universities may find it useful to reflect on these findings and the identified best practices in order to improve the H&S performance in their own organisations.

The COVID-19 pandemic has led to a significant surge in glove usage, as recommended by the World Health Organization. Despite efforts to ensure the quality and safety of gloves, glove-associated skin diseases such as hand dermatitis have become ubiquitous, particularly among health care workers. This review discusses the prevalence, causes, and risk factors of hand dermatitis, as well as research efforts in medical gloves in the past decade to overcome glove-related hand dermatitis. Research papers from 2013 to 2022 were reviewed, selecting only 49 relevant papers from the Ovid, PubMed, and Scopus databases. The average prevalence of hand dermatitis among health care workers increased from 21.08% to 37.24% upon the impact of the COVID-19 pandemic. The cases are likely due to allergies to latex proteins, rubber additives, and accelerators commonly found in gloves. Using alternatives to latex gloves, such as accelerator-free and latex-free glove options, can help reduce allergy-induced hand dermatitis. Strict hand hygiene practices, such as frequent hand washing and the use of sanitizers, are also contributing factors in contracting hand dermatitis. Over the past decade, glove research advancements have focused mainly on reducing or immobilizing latex proteins. These include the use of biodegradable dialdehyde, sodium alginate, arctigenin, bromelain, papain, UV-LED, prototype photoreactors, and structure-modified nanosilica with silane A174. Two effective hand dermatitis preventive measures, i.e. an additional layer of glove liners and the use of gentle alcohol-based hand sanitizer, were recommended. These advancements represent promising steps towards mitigating hand dermatitis risks associated with glove usage.

Background

Effective near-miss management is important in preventing workplace accidents. A company's inadequate response to near-miss reports can lead workers to feel insecure and dissatisfied with the company. We investigated the relationship between companies' responses to near-miss reports and turnover intentions of workers.

Methods

We conducted a cross-sectional study using online self-administered questionnaire survey to workers aged ≥20 years in Japan in March 2022. The analysis included 5,071 participants who had near-miss experiences and reported them to their companies. The independent variable was companies' responses to near-miss reports, classified into three categories: adequate response group, inadequate response group, and no response group. The dependent variable was turnover intentions. We calculated the odds ratio and 95% confidential interval (CI) using multilevel logistic regression analyses nested for industries and adjusted for covariates.

Results

Of the 5,071 participants, 3,058 (60.3%) were adequate response group, 1,484 (29.3%) were inadequate response group, and 529 (10.4%) were no response group. In multivariable adjusted model, compared with adequate response group, the odds ratio of inadequate response group and no response group were 1.80 (95% CI: 1.56–2.08) and 2.63 (95% CI: 2.15–3.22), respectively.

Conclusion

Our results suggested that there was a relationship between companies' responses to the near-miss reports and turnover intentions of workers. It is important not only to collect near-misses but also to respond appropriately to the reports and provide feedback to workers.

Background

Telework adoption in Taiwan has surged because of government guidelines during the COVID-19 pandemic. This study examined the disclosure practices of Taiwanese-listed companies, assessing their adherence to government telework guidelines and their correlation with corporate governance, focusing on occupational health measures.

Methods

We conducted a guideline-adherent cohort analysis of the 2020 and 2021 sustainability reports of 295 Taiwanese-listed companies. We assessed their disclosure of corporate measures for teleworking in alignment with two government guidelines, specifically occupational health measures. Using the McNemar test and general estimating equation analysis, we compared the 2020 and 2021 responses and examined their associations with corporate governance rankings.

Results

Telework adoption increased significantly from 2020 to 2021, with 68% of companies reporting new work modes. The mentioning of government guidelines also increased to 67% by 2021. Companies with higher governance rankings were more likely to adopt online occupational health measures, including occupational health services (RR = 2.03; 95% CI = 1.41–2.94; p < 0.001) and mental health promotion activities (RR = 2.01; 95% CI = 1.06–3.82; p = 0.032), than those with low rankings. Although on-site and online occupational health services increased, home workspace assessments did not.

Conclusion

Our findings highlight significant upward trends in the disclosure of telework measures following the issuance of government guidelines. Corporate governance is significantly associated with the implementation of occupational health measures. Amid the evolution of teleworking, both government guidelines and corporate governance have become essential for shaping work arrangements and ensuring workforce well-being.

Background

Though the artificial neural network (ANN) technique has been used to predict noise-induced hearing loss (NIHL), the established prediction models have primarily relied on cross-sectional datasets, and hence, they may not comprehensively capture the chronic nature of NIHL as a disease linked to long-term noise exposure among workers.

Methods

A comprehensive dataset was utilized, encompassing eight-year longitudinal personal hearing threshold levels (HTLs) as well as information on seven personal variables and two environmental variables to establish NIHL predicting models through the ANN technique. Three subdatasets were extracted from the afirementioned comprehensive dataset to assess the advantages of the present study in NIHL predictions.

Results

The dataset was gathered from 170 workers employed in a steel-making industry, with a median cumulative noise exposure and HTL of 88.40 dBA-year and 19.58 dB, respectively. Utilizing the longitudinal dataset demonstrated superior prediction capabilities compared to cross-sectional datasets. Incorporating the more comprehensive dataset led to improved NIHL predictions, particularly when considering variables such as noise pattern and use of personal protective equipment. Despite fluctuations observed in the measured HTLs, the ANN predicting models consistently revealed a discernible trend.

Conclusions

A consistent correlation was observed between the measured HTLs and the results obtained from the predicting models. However, it is essential to exercise caution when utilizing the model-predicted NIHLs for individual workers due to inherent personal fluctuations in HTLs. Nonetheless, these ANN models can serve as a valuable reference for the industry in effectively managing its hearing conservation program.

Background

Replacement drivers represent a significant portion of platform labor in the Republic of Korea, often facing night shifts and the demands of emotional labor. Research on replacement drivers is limited due to their widespread nature. This study examined the levels of presenteeism and absenteeism among replacement drivers in comparison to those of paid male workers in the Republic of Korea.

Methods

This study collected data for replacement drivers and used data from the 6th Korean Working Conditions Survey for paid male workers over the age of 20 years. Propensity score matching was performed to balance the differences between paid workers and replacement drivers. Multivariable logistic regression was used to estimate the adjusted odds ratio (OR) and 95% confidence intervals for presenteeism and absenteeism by replacement drivers. Stratified analysis was conducted for age groups, educational levels, income levels, and working hours. The analysis was adjusted for variables including age, education, income, working hours, working days per week, and working duration.

Results

Among the 1,417 participants, the prevalence of presenteeism and absenteeism among replacement drivers was 53.6% (n = 210) and 51.3% (n = 201), respectively. The association of presenteeism and absenteeism (adjusted OR [95% CI] = 8.42 [6.36−11.16] and 20.80 [95% CI = 14.60−29.62], respectively) with replacement drivers being significant, with a prominent association among the young age group, high educational, and medium income levels.

Conclusion

The results demonstrated that replacement drivers were more significantly associated with presenteeism and absenteeism than paid workers. Further studies are necessary to establish a strategy to decrease the risk factors among replacement drivers.