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                  <text>Safety and Health at Work Vol. 15 Issue 4 2024</text>
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                <text>Organisational Changes and Psychosocial Work Factors: Prospective&#13;
Findings From the National French Working Conditions Survey</text>
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                <text>downsizing&#13;
job insecurity&#13;
job stress&#13;
organisational changes&#13;
psychosocial work factors&#13;
restructuring</text>
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                <text>The studies exploring the mechanisms by which organisational changes may impact health outcomes are&#13;
lacking. The objectives of the study were to examine the prospective associations of organisational&#13;
changes with the deterioration of psychosocial work factors. The study was based on the prospective&#13;
data of the national French working conditions survey collected in 2013, 2016, and 2019. The study&#13;
sample included 5200 employees working in the private sector. A large set of organisational changes and&#13;
psychosocial work factors were collected from employers and employees respectively. Multilevel mixedeffects robust Poisson regression models were used. Organisational changes were prospectively associated with the deterioration of psychosocial work factors related to job insecurity, role stressors, and job&#13;
demands. The strongest prospective association was found between downsizing and the increase in job&#13;
insecurity. The associations between organisational changes and health outcomes may be mediated by&#13;
psychosocial work factors</text>
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                <text>Isabelle Niedhammer *, Sandrine Bertrais</text>
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                <text>INSERM, Univ Angers, Univ Rennes, EHESP, Irset (Institut de recherche en santé, environnement et travail), UMR_S 1085, ESTER Team, Angers, France</text>
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                <text>FAJAR BAGUS W</text>
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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>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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, 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> 11 September 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>Trends in Exposure to Respirable Dust and Respirable Crystalline Silica&#13;
Among Lithium Mine Workers in Western Australia</text>
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                <text>Exposure&#13;
Lithium mining&#13;
Respirable dust&#13;
Silica</text>
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                <text>Exposure to respirable dust (RES) and respirable crystalline silica (RCS) is common in&#13;
mining operations and is associated with health effects such as pneumoconiosis, chronic obstructive&#13;
pulmonary disease (COPD), interstitial pulmonary fibrosis, silicosis, lung cancer, and renal disease.&#13;
Methods: This study used industry occupational exposure data for respirable dust from two surface&#13;
lithium mines in Western Australia for the period between 2017 and 2023. A total of 1122 samples were&#13;
collected in workgroups across four departments - administration and support, mining, crushing and&#13;
processing, and maintenance.&#13;
Results: The study found that the overall RES concentration did not exceed the exposure standard.&#13;
However, Crusher Dry/Wet Plant Personnel (0.558 mg/m3&#13;
) and Workshop Boilermakers (0.842 mg/m3&#13;
)&#13;
recorded elevated exposure to RES. The highest mean exposures for RCS over the seven-year study period&#13;
were measured for Management Administration &amp; Technical (0.068 mg/m3&#13;
), followed by Crusher Dry/&#13;
Wet Plant Personnel (0.042 mg/m3&#13;
), exceeding the ES. Maximum results for both RES (15.00 mg/m3&#13;
) and&#13;
RCS (2.50 mg/m3&#13;
) indicated exceedances.&#13;
Conclusion: The study demonstrated a decline in exposure to RES over the seven years of study from&#13;
0.472 mg/m3 to 0.151 mg/m3&#13;
, with a slight increase in 2019 and 2022. A decline in the concentration of&#13;
RCS was observed between 2019 -2021, followed by an increase after 2021. The mean concentration of&#13;
RCS exceeded the exposure standard in 2023. Based on the study results and the established adverse&#13;
health effects associated with exposure to silica, various control measuresto protect workers from RCS&#13;
exposure should be considered.</text>
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              <elementText elementTextId="126315">
                <text>Curtin University of Technology, School of Population Health, Australia</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>Occupational Heat Exposure-related Symptoms Prevalence and&#13;
Associated Factors Among Hospitality Industry Kitchen Workers in&#13;
Ethiopia: Wet Bulb Globe Temperature</text>
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                <text>Ethiopia&#13;
Heat-stress related symptoms&#13;
Kitchen workers&#13;
Wet bulb globe temperature&#13;
Occupational heat - exposure&#13;
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                <text>Occupational heat stress caused by excessive environmental heat gain disrupts thermoregulatory mechanisms and harm workers’ health and productivity. Kitchens are known for their thermal&#13;
risks; however, research on heat stress in kitchen is limited. This study aimed to bridge this knowledge&#13;
gap by assessing, the prevalence of heat-stress-related symptoms, and associated factors among kitchen&#13;
workers in Gondar City, Ethiopia.&#13;
Methods: This institutional-based cross-sectional study (April to June 2023) evaluated heat stress among&#13;
hospitality kitchen workers in Ethiopia. Heat exposure was measured using hygrometers. A simple&#13;
random sample of 605 participants completed a survey and data was exported to Statistical Package for&#13;
Social Science version 26. To assess strength and direction an adjusted odds ratio with 95% confidence&#13;
interval (CI) was employed. A p-value of less than 0.05 was utilized to identify significant associations.&#13;
Results: Over the last 6 months 67.1% (95% CI: 63.0, 71.1), of the participants reported heat-stress symptoms.&#13;
Multivariable analysis revealed that age �40 years [AOR: 2.28; 95% CI (1.08, 4.82)], high workload [AOR: 1.89;&#13;
95% CI (1.04, 3.49)], poor heat mitigation practice [AOR: 2.39; 95% CI (1.58, 3.59), wood fuel [AOR: 2.60; 95% CI&#13;
(1.54, 4.40)], improper ventilation [AOR: 3.28; 95% CI (1.56, 6.87)], and higher heat index value [AOR: 2.15; 95%&#13;
CI (1.35, 3.42)] were factors significatly associated with heat stress related symptoms.&#13;
Conclusion: This study identified a high prevalence of heatestress-related symptoms among kitchen&#13;
workers. Mitigation strategies include improved ventilation, cooling, advanced building designs, and&#13;
heat reduction technologies. Future research should utilize standard heat-stress assessment tools.</text>
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                <text>Christian Melaku 1,*, Giziew Abere 2&#13;
, Yifokire T. Zele 3&#13;
, Yimer Mamaye 1&#13;
, Tadiwos Abebaw 1&#13;
,&#13;
Anmut E. Bezie 1&#13;
, Amensisa H. Tesfaye 2&#13;
, Eshetu A. Worede</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="126304">
                <text>1Department of Occupational Health and Safety, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia&#13;
2Department of Environmental and Occupational Health and Safety, College of Medicine and Health Sciences, Institute of Public Health, University of&#13;
Gondar, Gondar, Ethiopia&#13;
3 School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text> 7 September 2024</text>
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            <elementTextContainer>
              <elementText elementTextId="126306">
                <text>FAJAR BAGUS W</text>
              </elementText>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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            <element elementId="50">
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                <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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          <element elementId="49">
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            <description>The topic of the resource</description>
            <elementTextContainer>
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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> 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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                <text>Department of Occupational and Environmental Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of&#13;
Korea</text>
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                <text>Role of Mindfulness in the Effects of Organizational Culture on&#13;
Depression in Korean Physical Therapists</text>
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                <text>COVID-19&#13;
Depression&#13;
Job stress&#13;
Mindfulness&#13;
Physical therapist</text>
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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>agricultural areas&#13;
attitude&#13;
behavior&#13;
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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;
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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;
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                <text>Anurak Wongta 1,2,3&#13;
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, 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>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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                <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>Bilal Altındis¸ 1&#13;
, Fatih Bayram 2,*</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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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;
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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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