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                <text>Applications and Impact of Industry 4.0: Technological Innovations in&#13;
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                <text>The future of work is changing faster than ever with the rapid&#13;
growth and adoption of technological innovations, heralding the&#13;
emergence of a new Occupational Safety and Health (OSH) paradigm [1]. The acceleration of technological innovations in the field&#13;
of OSH is driven by a confluence of factors. First, technology is&#13;
everywhere and has evolved to become a defining characteristic&#13;
and presence in nearly every facet of our daily lives. This has led to&#13;
an exponential growth of data (“tsunami of data”), fueling advancements in data analytics, machine learning, artificial intelligence (AI), and robotics, creating synergistic opportunities for&#13;
technological innovations. Second, more jobs and tasks are also&#13;
increasingly vulnerable to automation with the adoption of technology that promises increased efficiency and productivity at a&#13;
much lower labor cost. Third, the nature of career is changing as&#13;
society shifts away from the traditional functional model of a single,&#13;
long-lasting linear progressing career to the normalization of&#13;
intentional job-hopping driven by opportunism. There is now a&#13;
generational change and diversification of the workforce with the&#13;
influx of digitally native and tech-savvy younger workers adept in&#13;
digital technologies, fostering a culture that is open to technological&#13;
changes and innovations. The confluence of these factors has&#13;
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                <text>David Koh 1&#13;
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*</text>
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                <text> Saw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, #10-01, Singapore 117549, Singapore&#13;
2 Ministry of Health Holdings, 1 N Buona Vista Link, #09-01 Elementum, Singapore 139691, Singapore&#13;
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                <text>FAJAR BAGUS W</text>
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                <text>Blame avoidance behavior&#13;
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                <text>In the Chinese coal industry, widespread blame avoidance behavior (BAB) greatly impacts&#13;
coal mine accidents. Therefore, it is necessary to stop the BAB of coal mine managers and raise the&#13;
management level of coal mine enterprises for the safe development of Chinese coal industry.&#13;
Methods: Based on the semi-structured interviews and questionnaire surveys (20 middle-level managers&#13;
in coal mines), this paper used the Grounded Theory and Nvivo Software qualitative research methodology to open, spindle, and selectively encode the interview data. Then, an index system of factors&#13;
influencing BAB of coal mine managers was constructed. The influence degree, affected degree, centrality&#13;
degree, cause degree of each influencing factor were calculated and the hierarchical model of influencing&#13;
factors of BAB of coal mine managers was established by the DEMATEL-ISM method which is a decision&#13;
support tool used to evaluate and analyze the interdependencies between influencing factors.&#13;
Results: Index system of factors influencing BAB of coal mine managers included four levels and 12&#13;
influencing factors: individual, organizational, institutional environmental, and situational factors. The&#13;
hierarchical model identified eight causal factors and four consequential factors, of which safety management (15.355), work attitude (14.380), and work group performance (14.281) in the top three of the&#13;
centrality rankings are the key factors affecting the avoidance behavior of coal mine managers; A 3-level&#13;
multilevel structure was constructed to reflect the interactions among the factors influencing the BAB of&#13;
coal mine managers in terms of direct, indirect, and root causes, and corresponding improvement&#13;
measures were proposed.&#13;
Conclusion: This study offers a theoretical complement and practical guidance for stopping BAB of coal&#13;
mine managers</text>
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                <text>Li Wang 1,2,3&#13;
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, Jiang Li 1,2,3</text>
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                <text>1 College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an, Shaanxi, China 2 Institute of Safety Management and Risk Control, Xi’an University of Science and Technology, Xi’an, Shaanxi, China 3 Institute of Safety and Emergency Management, Xi’an University of Science and Technology, Xi’an, Shaanxi, China 4 China Academy of Safety Science and Technology, Chaoyang District, Beijing, China&#13;
5 Power China Beijing Engineering Corporation Limited, Chaoyang District, Beijing, China</text>
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                <text>Health effects&#13;
Multiple exposures&#13;
Occupational exposures&#13;
Occupational health&#13;
Occupational risk</text>
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                <text>Individuals are constantly exposed to hazardous factors that can affect their health, the hazards&#13;
encountered in the workplace can lead to the development of occupational diseases. Risk mitigation&#13;
measures help to reduce the risks, but they are often designed without consideration of interactions&#13;
between occupational exposures. Therefore, there is a need for research and it resulted in international&#13;
research plans and programmes. The aim of this scoping review is to provide an overview of the scientific&#13;
results related to the link between multiple occupational exposures and human health outcomes. Sixtythree articles were reviewed. Research articles were included only if they mentioned: several combined&#13;
exposures, the direct characterisation of each exposure, and exposure/health outcome associations.&#13;
Seven activity sectors were identified: ‘extraction and energy production and distribution’, ‘health care’,&#13;
‘banks, public administration and defence’, ‘chemical production’, ‘manufacturing industry’, ‘agriculture&#13;
and food industry’ and ‘transport and logistics’. Six multiple exposures scenarios were identified:&#13;
chemical (n ¼ 35), chemical/physical-biomechanical (n ¼ 22), chemical/psychosocial-organisational&#13;
(n ¼ 6), physical-biomechanical (n ¼ 9), physical-biomechanical/psychosocial-organisational (n ¼ 13),&#13;
and psychosocial-organisational (n ¼ 12). The health problems identified concern nervous, mental,&#13;
respiratory, musculoskeletal, auditory and other systems. Eighty-eight of 97 (91%) multiple exposure/&#13;
health problem associations were reported to be statistically significant. Twenty studies (32%) provided&#13;
specific risk prevention advice for multiple exposures. Prevention aimed at reducing risks to workers’&#13;
health is still underdeveloped, further research is needed to improve prevention methods. No study was&#13;
related to biological risk, and some other multiple exposures known to have health effects were not&#13;
identified as well. This highlights the need for more multiple exposures research.</text>
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                <text>Cassandra Barbey 1,2&#13;
, Nathalie Bonvallot 2&#13;
, Frédéric Clerc 1,*</text>
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                <text>1Department of Pollutant Metrology, French Research and Safety Institute for the Prevention of Occupational Accidents and Diseases (INRS), 54547&#13;
Vandœuvre-lès-Nancy, France 2Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France&#13;
</text>
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                <text> 28 October 2024</text>
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                <text>FAJAR BAGUS W</text>
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                  <text>Safety and Health at Work Vol. 15 Issue 4 2024</text>
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                <text>Determination of Medical Faculty Clinical Students’ Attitudes Towards&#13;
Patient Safety: A Mixed Design Study</text>
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                <text>medical education&#13;
medical error&#13;
medical student&#13;
patient safety</text>
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                <text>The study was planned to determine the attitudes of medical faculty students in clinics&#13;
toward patient safety.&#13;
Methods: It is a mixed-design study using quantitative and qualitative methods. The “student information form” and the “Attitudes toward Patient Safety Culture Questionnaire (APSQ)” created using&#13;
“Google Forms” were e-mailed to clinical students of the medical faculty. Quantitative data were&#13;
collected from 125 students. Then, semi-structured focus group interviews were conducted with six&#13;
students from each class. The data were obtained through video and audio recordings of the 45-minute&#13;
interviews through the Zoom program.&#13;
Results: According to the results, 86% of the 125 students did not receive any training on patient safety.&#13;
The total score of the students on the APSQ was 94.87 � 14.32. Six main themes and twenty sub-themes&#13;
emerged from the qualitative data. The main themes are students’ awareness of patient safety, students’&#13;
misconceptions about “patient safety,” students’ knowledge about the scope of patient safety, students’&#13;
experiences with medical errors, deficiencies in educational processes on patient safety, and suggestions&#13;
for educational approaches to patient safety.&#13;
Conclusions: After completing undergraduate medical education, physicians typically assume roles as general practitioners in various healthcare settings, such as hospital’s emergency departments, home care, or&#13;
community health centers. The lack of awareness among medical students about patient safety is a significant&#13;
concern that needs to be addressed. As stakeholders in their education, students recognize the importance of&#13;
being well-prepared to provide safe and effective patient care in their future roles as physicians</text>
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                <text>Yasemin Güner 1,*, Kübra Yilmaz 2&#13;
, Dilan Yurtseven 2&#13;
, Tugçe Mümin  2</text>
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                <text>1 Karadeniz Technical University, Medical Faculty, Department of Medical Education, Turkey&#13;
2 Karadeniz Technical University, Medical Faculty, Turkey</text>
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</text>
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                <text>FAJAR BAGUS W</text>
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              <elementTextContainer>
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                  <text>Safety and Health at Work Vol. 15 Issue 4 2024</text>
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                <text>Asthma Among Manitoba Workers: Results from the Manitoba&#13;
Occupational Disease Surveillance System</text>
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                <text>Cohort&#13;
Compensation claims&#13;
Occupational asthma&#13;
Surveillance</text>
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                <text>This study characterized the risk of new-onset asthma among workers in Manitoba, Canada.&#13;
Methods: Accepted time loss claims from the Workers’ Compensation Board of Manitoba from 2006 to&#13;
2019, containing workers’ occupations and industries, were linked with administrative health data from&#13;
1996 to 2020. After restricting the cohort to the first claim per person in an occupation and applying age&#13;
and coverage exclusions, the cohort comprised 142,588 personeoccupation combinations. Asthma cases&#13;
were identified if workers had at least two medical records for asthma (International Classification of&#13;
Diseases, Ninth Revision, 493) within a 12-month period, within the 2 years before 3 years after cohort&#13;
entry. New-onset asthma was identified using a 3-year washout period. Asthma hazard ratios by occupation and industry were estimated using Cox proportional hazard models, adjusted for age, and&#13;
stratified by sex.&#13;
Results: Increased asthma risk was observed among workers with known asthmagen exposure, including&#13;
male veterinary and animal health technologists and technicians (hazard ratio 3.97, 95% CI 1.78e8.86),&#13;
male fish processing workers (3.40, 1.53e7.57), and male machining tool operators (2.91, 1.72e4.92).&#13;
Increases were also observed for occupations with unknown or suspected allergens, including gas station&#13;
attendants, drivers, mail/postal and related workers, public works and maintenance laborers, mine laborers and crane operators, and some indoor worker groups. Decreased risks were observed among&#13;
nurses and residential and commercial installer and servicers.&#13;
Conclusion: This database linkage study successfully identified occupations and industries with known&#13;
sensitizing agents or irritants, and several occupation and industries not typically associated with workrelated asthma, warranting further investigation</text>
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                <text>Elizabeth Rydz 1,2&#13;
, Randy Walld 3&#13;
, Mieke W. Koehoorn 1,4&#13;
, Christopher B. McLeod 1,4&#13;
,&#13;
Paul A. Demers 5,6&#13;
, Cheryl E. Peters 1,2,7,8,*, Allen Kraut 9,10</text>
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                <text>1 School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada&#13;
2Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada&#13;
3 Manitoba Centre for Health Policy, University of Manitoba, Winnipeg, MB, Canada&#13;
4 Partnership for Work, Health, and Safety, University of British Columbia, Vancouver, BC, Canada&#13;
5Occupational Cancer Research Centre, Ontario Health, Toronto, ON, Canada&#13;
6Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada&#13;
7 BC Centre for Disease Control, Vancouver, BC, Canada&#13;
8 BC Cancer, Vancouver, BC, Canada&#13;
9Department of Internal Medicine, Faculty of Medicine, University of Manitoba, Winnipeg, MB, Canada&#13;
10Department of Community Health Sciences, Faculty of Medicine, University of Manitoba, Winnipeg, MB, Canada&#13;
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Workers’ Mental Wellbeing: A Survey of Location-based Platform&#13;
Workers in Taiwan</text>
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Platform work&#13;
Psychometric properties&#13;
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                <text> Platform work offers flexibility and autonomy to workers, but there are concerns about the&#13;
impacts of excessive labor control exercised by digital platforms using algorithmic management. This&#13;
study assessed the level of labor control exerted by digital platforms and explored its associations with&#13;
psychosocial work conditions and workers’ mental well-being.&#13;
Methods: A total of 487 location-based platform workers in Taiwan, encompassing ride-hailing, delivery,&#13;
and house chore services, participated in this questionnaire survey. A 5-item scale was created to assess&#13;
platform-mediated labor control. Psychosocial work conditions, including demands, job control, work&#13;
rewards, and mental well-being, including burnout and self-rated mental health status, were assessed&#13;
using validated instruments. Cronbach’s a and principal component analysis were employed to assess the&#13;
validity of the labor control scale. Logistic regression analysis and path analysis were conducted to&#13;
investigate the relationship between labor control and workers’ mental health.&#13;
Results: Exploratory factor analyses confirmed the structural validity and the internal consistency of the&#13;
scale. Logistic regression models revealed that higher levels of labor control were associated with an&#13;
increased risk of burnout and poorer mental health. Path analyses further indicated that higher labor&#13;
control through digital platforms raised mental health risks by increasing job demands.&#13;
Conclusion: Algorithmic management is associated with increased stress among platform workers as&#13;
they try to meet the platform’s performance metrics.</text>
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                <text>Yawen Cheng 1&#13;
, Wan-Ju Cheng 2,3,4,*, Ro-Ting Lin 5&#13;
, Yi-Ting Wang 1&#13;
, Jyh-Jer Roger Ko 6</text>
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                <text> Institute of Health Policy and Management, College of Public Health, National Taiwan University, Taipei, Taiwan&#13;
2National Center for Geriatrics and Welfare Research, National Health Research Institutes, Miaoli, Taiwan&#13;
3Department of Psychiatry, China Medical University Hospital, Taichung, Taiwan&#13;
4Department of Public Health, China Medical University, Taichung, Taiwan&#13;
5Department of Occupational Safety and Health, College of Public Health, China Medical University, Taichung, Taiwan&#13;
6Department of Sociology, National Taiwan University, Taipei, Taiwan&#13;
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                <text>FAJAR BAGUS W</text>
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                  <text>Safety and Health at Work Vol. 15 Issue 4 2024</text>
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                <text>Data Mining Implementations for Determining Root Causes and&#13;
Precautions of Occupational Accidents in Underground Hard Coal&#13;
Mining</text>
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                <text>Association rules mining&#13;
Data mining&#13;
Occupational accidents&#13;
Underground hard coal mining&#13;
WEKA</text>
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            <description>An account of the resource</description>
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                <text>Nowadays, as in every branch of industry, a large amount of data can be collected in mining,&#13;
both in productivity and occupational safety. It is increasingly essential to transform this data into useful&#13;
information for enterprises. Data mining is very useful in processing and extracting useful information&#13;
from the processed data. This study aims to analyze the data of occupational accidents with injuries&#13;
between 2010 and 2021 in an underground hard coal mine by data mining.&#13;
Methods: The injured accident data for the relevant years were organized and analyzed using data&#13;
mining algorithms. These algorithms were implemented with the WEKA data mining program, an opensource application.&#13;
Results: According to different test methods, k-Nearest Neighborhood and Support Vector Machine algorithms succeeded in classification and prediction. The k-Nearest Neighborhood and Support Vector&#13;
Machine algorithms achieved 100% (training set) and 66% (cross-validation) performance, respectively,&#13;
according to two different test methods. One of the critical phases of the study is the determination of&#13;
the attributes and subclasses that are effective in the origin of accidents by association rules mining.&#13;
Thus, more detailed information was obtained about the root causes of the accidents. A result of Apriori&#13;
and Predictive Apriori implementations revealed that the root causes of occupational accidents according&#13;
to the accident locations are the worker experience, the working hours in the shift, and the worker&#13;
position. In addition, shifts, accident causes, especially monthly production, and monthly wages were&#13;
also influential.&#13;
Conclusions: These results are also in accordance with the actual situation in the enterprise. As a result of&#13;
the research, practical suggestions were presented for evaluating occupational accidents and taking&#13;
precautions</text>
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              <elementText elementTextId="126116">
                <text>Bilal Altındis¸ 1&#13;
, Fatih Bayram 2,*</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>1 TTK Turkish Hard Coal Corporation, Türkiye&#13;
2Department of Mining Engineering, Afyon Kocatepe University, 03200, Afyonkarahisar, Türkiye</text>
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                <text>Agriculture is vital for economic growth and livelihoods in northern Thailand, yet it is&#13;
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aimed to evaluate the risk and determine the relationship between pesticide exposure and knowledge,&#13;
attitudes, and safety behaviors.&#13;
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Tong district of Chiang Mai, Thailand. Data were collected through structured questionnaires and face-toface interviews with 280 farmers.&#13;
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educational attainment and training received. Farmers with higher education levels or those who had&#13;
undergone training exhibited better knowledge and safer behavioral practices, whereas income levels&#13;
did not significantly affect knowledge or safety behaviors. The pesticide exposure risk level was associated with the study variables, with those recognizing a ‘normal’ risk level demonstrating greater&#13;
knowledge and safer behaviors than those who reported the risk level as safe or at risk. A strong positive&#13;
correlation between knowledge and safety behavior was observed, indicating that increased awareness&#13;
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crucial for promoting safer pesticide use among farmers. Although attitudes toward pesticide safety&#13;
varied based on income, education, and training positively influenced knowledge and behavior.&#13;
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                <text>1 School of Health Science Research, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand&#13;
2 Environmental and Occupational Health Sciences Unit, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand&#13;
3 Environmental, Occupational and NCD Center of Excellent, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand&#13;
4Department of Community Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand</text>
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                <text>COVID-19&#13;
Depression&#13;
Job stress&#13;
Mindfulness&#13;
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                <text>The study aimed to investigate whether mindfulness could mitigate the impact of job and&#13;
interpersonal demands arising from stressful organizational cultures in predicting depression during the&#13;
COVID-19 pandemic.&#13;
Methods: A total of 280 Korean physical therapists participated in this study. To verify the mediated&#13;
moderation model, this study implemented an SPSS 26.0 PROCESS Macro (v.3.5) that was based on the&#13;
verification of Hayes’ conditional indirect effect.&#13;
Results: The study confirmed the moderated mediation effect of mindfulness on the mediating relationship between stressful organizational culture, job demands/interpersonal demands, and depression.&#13;
Moreover, the conditional indirect effect of mindfulness was found to be statistically significant. However, the impact on interpersonal stress differed from anticipated outcomes.&#13;
Conclusions: Mindfulness, applicable within the framework of the Job Demands-Resources model theory,&#13;
served as a resource variable and moderated the impact of organizational culture on members’&#13;
depression. Amidst ongoing debates on mindfulness effectiveness, this study partially confirmed its&#13;
potential within the Job Demands-Resources model, suggesting a role</text>
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                <text>Jong-Hyun Lee 1&#13;
, Jinwon Lee 2&#13;
, Jaejin Hwang 3&#13;
, Du-Jin Park 4&#13;
, Won-Jin Kim 5&#13;
,&#13;
Kyung-Sun Lee 5</text>
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                <text>Department of Psychology, Gyeongsang National University, Jinju, Gyeongsangnam-do, Republic of Korea&#13;
2Department of Industrial and Management Engineering, Gangneung-Wonju National University, Wonju, Gangwon-do, Republic of Korea&#13;
3Department of Industrial and Systems Engineering, Northern Illinois University, DeKalb, IL, United States&#13;
4Department of Physical Therapy, Catholic University of Pusan, Busan, Republic of Korea&#13;
5Division of Energy Resources Engineering and Industrial Engineering, Kangwon National University, Chuncheon, Gangwon-do, Republic of Korea&#13;
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                <text>FAJAR BAGUS W</text>
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Long working hours&#13;
Mental health&#13;
Psychological well-being&#13;
Work-life balance&#13;
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                <text> Long working hours and caregiving responsibilities are prevalent in many societies. These&#13;
demands can lead to stress and adverse mental health outcomes. This study examines the associations of&#13;
long working hours and family caregiving on psychological well-being and their interactions among&#13;
South Korean wage workers.&#13;
Methods: Using data from the Korean Working Conditions Survey, this cross-sectional study involved 33,063&#13;
participants. Long working hours were categorized as 40 and 52 hours a week, and caregiving was assessed&#13;
through self-reports of non-work-related caregiving activities. The World Health Organization Well-Being&#13;
Index was used to measure psychological well-being, with Poisson regression models analyzing the associations and interactions between working hours, caregiving activities, and psychological well-being.&#13;
Results: The prevalence of low psychological well-being was significantly higher among individuals with&#13;
both long working hours and caregiving responsibilities than among those with either or neither stressor&#13;
(adjusted prevalence ratio ¼ 1.81; 95% confidence interval: 1.42e2.31, multiplicative scale ¼ 1.32; 95%&#13;
confidence interval: 1.00e1.73).&#13;
Conclusion: This study highlights the significant mental health implications of combining long working&#13;
hours with caregiving responsibilities in the Republic of Korea. The synergistic interaction between these&#13;
factors suggests that interventions and policies aimed at reducing work-related stress and supporting&#13;
caregivers could have substantial benefits for mental health</text>
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