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                  <text>Safety and Health at Work Vol. 15 Issue 4 2024</text>
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                <text>Agricultural Health and Safety: Evaluating Farmers’ Knowledge,&#13;
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                <text>agricultural areas&#13;
attitude&#13;
behavior&#13;
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knowledge</text>
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                <text>Agriculture is vital for economic growth and livelihoods in northern Thailand, yet it is&#13;
challenged by hazardous practices such as improper chemical use and machinery accidents. This study&#13;
aimed to evaluate the risk and determine the relationship between pesticide exposure and knowledge,&#13;
attitudes, and safety behaviors.&#13;
Methods: This cross-sectional study was conducted between October and December 2017 in the San Pa&#13;
Tong district of Chiang Mai, Thailand. Data were collected through structured questionnaires and face-toface interviews with 280 farmers.&#13;
Results: The findings indicated that knowledge and safety behavior scores varied significantly with&#13;
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;
can result in more cautious practices. These findings suggest that educational and training programs are&#13;
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;
Conclusion: The study concludes that understanding farmers’ perceptions of pesticide risks is essential&#13;
for designing and implementing effective educational interventions</text>
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                <text>Anurak Wongta 1,2,3&#13;
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, Phannika Tongchai 1,2&#13;
, Pichamon Yana 1,2&#13;
,&#13;
Surat Hongsibsong 1,2,3,*</text>
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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>FAJAR BAGUS W</text>
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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;
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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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Mental health&#13;
Platform work&#13;
Psychometric properties&#13;
Psychosocial work hazards</text>
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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;
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, 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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Occupational Disease Surveillance System</text>
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                <text>Cohort&#13;
Compensation claims&#13;
Occupational asthma&#13;
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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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, 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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                <text>Comparison of Working Conditions Between Immigrant and Nonimmigrant Healthcare Workers in the United States: Evidence From&#13;
the National Health Interview Survey</text>
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                <text>Emigrants and immigrants&#13;
Health personnel&#13;
Occupational health&#13;
Working conditions</text>
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                <text>Immigrants in the United States (U.S.) healthcare workforce face challenging working conditions. This&#13;
study aimed to compare the working conditions of healthcare workers based on immigration status.&#13;
Using National Health Interview Survey (NHIS) 2015 data, we compared the sociodemographic characteristics and working conditions between 374 non-U.S. born and 1,986 U.S. born healthcare workers.&#13;
Multivariable logistic regression was used to examine associations between immigration status and&#13;
selected working conditions. It was found that non-U.S. born and U.S. born healthcare workers differed in&#13;
sociodemographic and occupational characteristics. After adjusting for sociodemographic covariates,&#13;
non-U.S. born healthcare workers had higher odds of non-permanent contract work (aOR: 1.87, 95% CI&#13;
[1.25, 2.79], p &lt; 0.01) and lower odds of workplace harassment (aOR: 0.51, 95% CI [0.31, 0.83], p &lt; 0.01),&#13;
compared to U.S. born healthcare workers. Immigrant healthcare workers’ occupational experiences&#13;
should be further explored to improve organizational and psychosocial working conditions</text>
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                <text>Megan Guardiano 1&#13;
, Timothy A. Matthews 2&#13;
, Wendie Robbins 1,3&#13;
, Jian Li 1,3,4,*</text>
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                <text> School of Nursing, University of California Los Angeles, Los Angeles, CA, United States&#13;
2Department of Environmental and Occupational Health, College of Health &amp; Human Development, California State University Northridge, Northridge,&#13;
United States&#13;
3Department of Environmental Health Sciences, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, United States 4Department of Public Health Nursing, Faculty of Public Health, Mahidol University, Bangkok, Thailand</text>
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                <text>Data Mining Implementations for Determining Root Causes and&#13;
Precautions of Occupational Accidents in Underground Hard Coal&#13;
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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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                <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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                <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>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>Safety and Health at Work Vol. 15 Issue 4 2024</text>
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                <text>Health Outcomes Related to Multiple Exposures in Occupational&#13;
Settings: A Review</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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              <elementTextContainer>
                <elementText elementTextId="125998">
                  <text>Safety and Health at Work Vol. 15 Issue 4 2024</text>
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                <text>Metabolic Syndrome and Cardiovascular Risk Factors in a Fishing&#13;
Community in Southern Italy</text>
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            <description>The topic of the resource</description>
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                <text>Health promotion&#13;
Obesity&#13;
Total Worker Health�&#13;
Work organization</text>
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                <text>Work organization and psychosocial factors influencing sleep patterns may be significant&#13;
risk factors for developing obesity and metabolic syndrome (MetS). However, the impact on the health of&#13;
working patterns in the fishing sector is not well characterized. The aim of the study is to determine the&#13;
prevalence of MetS and its components in fishermen and to analyze occupational-specific risk factors&#13;
contributing to metabolic alterations.&#13;
Methods: One hundred forty-three male fishermen from Apulia (Southern Italy) and 93 male university&#13;
workers age-matched and from the same geographical area were included in this cross-sectional study. A&#13;
questionnaire was administered to investigate socio-demographic variables, work activity, health status,&#13;
and dietary habits. All subjects underwent clinical evaluation and blood sampling to depict their&#13;
metabolic profile.&#13;
Results: A higher body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (p &lt; 0.001)&#13;
were observed in fishermen than in university workers. No significant difference between the two&#13;
groups was observed in the prevalence of MetS (15.4% fishermen vs 16.1% university workers) and its&#13;
relevant diagnostic criteria, except abdominal obesity (42.7% fishermen vs 29.0% university workers,&#13;
p ¼ 0.021). The Castelli risk index, the monocyte/c-HDL ratio, and the Sokolow index were significantly&#13;
greater in fishermen (p &lt; 0.001). In the fishermen group, the total number of sleeping hours on working&#13;
days was negatively correlated with WC (r ¼ -0.17; p ¼ 0.04), low-density lipoprotein cholesterol (c-LDL)&#13;
(r ¼ -0.21; p ¼ 0.02), and the homeostasis model assessment (HOMA) index (r ¼ -0.19; p ¼ 0.02).&#13;
Conclusion: The higher prevalence of obesity and the imbalance of the metabolic profile observed in&#13;
fishermen could be related to occupational factors, including the specific working pattern that influences&#13;
their sleeping hours and sleeping-waking rhythms</text>
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              <elementText elementTextId="126231">
                <text>Angela Stufano 1,*,y&#13;
, Simona D’Amore 2,y&#13;
, Valentina Schino 1&#13;
, Paolo Danza 1&#13;
, Ivo Iavicoli 3,z&#13;
,&#13;
Piero Lovreglio 1,z</text>
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                <text>1 Interdisciplinary Department of Medicine - Section of Occupational Medicine, University of Bari, Bari, Italy&#13;
2Department of Precision and Regenerative Medicine-Ionian Pole, University of Bari, Bari, Italy&#13;
3Department of Public Health, University of Naples Federico II, Naples, Italy</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>Multi-level Hierarchical Structure Analysis of Influencing Factors of&#13;
Coal Mine Managers’ Blame Avoidance Behavior</text>
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Coalmine managers&#13;
DEMATEL-ISM model&#13;
Grounded theory&#13;
Influencing factors</text>
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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;
, Wenyi Zeng 1,2,3&#13;
, Ziyan Jing 1,2,3,4,*, Yonghui Xu 5&#13;
, 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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