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                  <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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                <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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                <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>Agricultural Health and Safety: Evaluating Farmers’ Knowledge,&#13;
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                <text>agricultural areas&#13;
attitude&#13;
behavior&#13;
farmers&#13;
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;
, Nootchakarn Sawarng 2,4&#13;
, 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>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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                <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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            <description>A name given to the resource</description>
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                <text>Health Outcomes Related to Multiple Exposures in Occupational&#13;
Settings: A Review</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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              <elementText elementTextId="126024">
                <text>Cassandra Barbey 1,2&#13;
, Nathalie Bonvallot 2&#13;
, Frédéric Clerc 1,*</text>
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                <text>https://pdf.sciencedirectassets.com/287282/1-s2.0-S2093791124X00050/1-s2.0-S2093791124000763/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEFMaCXVzLWVhc3QtMSJGMEQCIBi4ZpoAP4%2BPKF0qklBjTnsdxOo7frDUmeOLy7mgC3ENAiAl6nLiWo2NLGFt7F%2FMyYiZpj4aU2GyM5sUNUwi%2FUP%2BFyqzBQgbEAUaDDA1OTAwMzU0Njg2NSIMSNkugly4NAAd%2FHKXKpAFDIRG4L3MUsVxpbHdudgOtEUd56kkmZ2n76wcRIch4YyQ7P4O41Rn7XIBlq%2BnkT%2FCgjHGYmNsSpZWMb5Jz2%2FasYNZ3uwKol%2BmAxJLouLJ4FWrZgs%2BtRnkzR%2F%2BrdwN1h0bCF5qZd%2BMkEluQlNVwPcLhevizoyDSC9XidbQvfUCWLiGo%2B9rOue0KEn%2FIStsM0q41%2BetcKb9o86742KiWmNA4nP%2Bt%2B%2BbDFtDaRHbuwV9IL3WAmzBJSkYQ7XBSujWJD62twt6b4ho4ySxfo6fr%2F8Ui6F3LjdL%2Faey2yxI6ml%2BHRr2i8MMBG9cFZKY8ZYIQ2p4iAX%2FV2N4WgP8O8t6erUPCkikHTH33Grh7E%2BvoQwCwl7C8e5xHt%2FAzoikYcv5YosprUEkaN2wLA%2FiAblZmQ4JxugNYAHPMMktHs7C06xCCfyY%2FqkVuUWk86wJa2J688wkxIXkLua7fu8erlylgU5Hf1%2BrrDPK4fYBD5%2BEh4rwjKPkW7XiF%2FBwK6cj6JnnAbsmDyKoWyRyIKvtIB1%2B3FMuAWlvdVdr3cFF%2BW165ISPygtJ9XGQkASAbaRTH%2FJS3TapaSbi9%2B2J8dEN%2BvoV1nOtRx1mGKqr7UDEywssqVNNSJXsKfOZaSk5V50%2Fl0ztOcniKKlfBge7jSAHrHADaJmnDxEsIVxfz16gMDsvG0eqxT4G6UB3VpILQ41%2FWZWkgY%2BekQ8NNMQHLExeC83Sopahw0MufToDSWCdN0fk5IbxzL1RIFuU3iKsjy3hFf%2FnH4RUvIc46AgvQqTaUqPr6Jb%2BTLMI26sYAv0D2DCarhY3MX78jYcWAqLLtcyjZpriUWGytAyqVwsGxNm0gmnRX1l8rgatZfw1YAWllgFv9ooOnicwgtb%2BzAY6sgGxGB4SMQ8Ctyh2U3jCkydumRTQGyyKKu0gul6LV3FpCIIi0lCwCen7kIXBk3%2Bp73Sm49bOFrnYLZx92wY8Mij01K8rCIhi0FBCn%2FWxhya4JbZZRHI9XP1zNCG6KZE9SgHrLzv%2BPl23JdPx5IsUCBosG%2Fbo86fyQh%2B50qNjOyzsnExB4Ed5ZivHVhpf%2FCgGYfUYRXM9KjNF%2Bym%2Fy077yUdcJi2Ua3LnbnytbsAUEnL5HjZD&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20260226T030629Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTYZLW73ZMH%2F20260226%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=a9d21268e9a0f058effa9ae890ee71a927bfdd9d6aaeadfebd1b82a9752a7bf1&amp;hash=f8a1ede5c8405153c55b07bb26e6e5dad8580ce2601658481a49b67fdbed71de&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S2093791124000763&amp;tid=spdf-ccee3705-811e-430d-9763-28ec7b4a4046&amp;sid=830681cc5d60f646526bf61913cd5206d1e8gxrqb&amp;type=client&amp;tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&amp;rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&amp;ua=0b015e065401520650&amp;rr=9d3c3a0af8760d3d&amp;cc=id</text>
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              <elementText elementTextId="126026">
                <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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            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="126028">
                <text>FAJAR BAGUS W</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="125998">
                  <text>Safety and Health at Work Vol. 15 Issue 4 2024</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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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>
              </elementText>
            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="126300">
                <text>Ethiopia&#13;
Heat-stress related symptoms&#13;
Kitchen workers&#13;
Wet bulb globe temperature&#13;
Occupational heat - exposure&#13;
</text>
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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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                <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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                <text> 7 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;
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                <text>Exposure&#13;
Lithium mining&#13;
Respirable dust&#13;
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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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                <text>David Gbondo *, Yun Zhao , Minh Pham , Krassi Rumchev&#13;
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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>Applications and Impact of Industry 4.0: Technological Innovations in&#13;
Occupational Safety and Health</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;
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;
resulted in a synergistic acceleration and advancement of technological innovations.</text>
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                <text>David Koh 1&#13;
, Alvin Tan 2,&#13;
*</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>Safety and Health at Work Vol. 15 Issue 4 2024</text>
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                <text>Cohort&#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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, 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>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>The study aimed to investigate whether mindfulness could mitigate the impact of job and&#13;
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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;
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, 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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