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                  <text>Safety and Health at Work Vol. 16 Issue 1 2025</text>
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                <text>Lung Cancer Risk in Female School Cooks: A Nationwide Retrospective&#13;
Cohort Study in the Republic of Korea</text>
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                <text>Cohort studies&#13;
Incidence&#13;
Lung Neoplasms&#13;
Smoking&#13;
Ventilation</text>
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                <text>Exposure to cooking fumes exposure likely increases the lung cancer risk in school cooks,&#13;
but research on the incidence of lung cancer in school cooks is lacking. Therefore, this study aimed to&#13;
examine a nationwide cohort of school cooks for lung cancer by linking three Korean social insurance&#13;
databases to determine whether working as a school cook increases lung cancer risk.&#13;
Methods: A nationwide retrospective cohort of school cooks and clerks with lung cancer was established&#13;
by linking Employment Insurance, Industrial Accident Compensation Insurance, and National Health&#13;
Insurance Service databases. Covariates were matched using 1:1 propensity score matching (PSM) for&#13;
school cooks and clerks. Age-standardized incidence and hazard ratios (HRs) for lung cancer were&#13;
calculated using the Cox proportional hazards model. FineeGray subdistribution HRs were used for&#13;
sensitivity analysis. After further categorization into never- and ever-smoked subcohorts, the same analyses were performed.&#13;
Results: Post PSM, we identified 76 cases of lung cancer in school cooks during 259,819 person-years of&#13;
follow-up. The age-standardized incidence was 199.8 (95% confidence interval [CI]: 120.7e278.9) and&#13;
166.8 (95% CI: 95.8e237.7) for school cooks and clerks, respectively. The subdistribution HR for school&#13;
cooks post PSM was 1.72 (95% CI: 1.14e2.60). In the never-smoked subcohort, the subdistribution HR for&#13;
school cooks post PSM was 4.23 (95% CI: 2.36e7.58).&#13;
Conclusion: School cooks were at an elevated risk of developing lung cancer, likely due to exposure to&#13;
cooking fumes, highlighting the need for improved ventilation and preventive measures in school&#13;
kitchens to reduce lung cancer risk.</text>
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                <text>Jungwon Jang 1&#13;
, Eun Mi Kim 2&#13;
, Jaiyong Kim 2&#13;
, Jeehee Min 3&#13;
, Inah Kim 1,*</text>
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                <text>1Department of Occupational and Environmental Medicine, College of Medicine, Hanyang University, Seoul, Republic of Korea&#13;
2Department of Big Data Management, National Health Insurance Service, Wonju, Republic of Korea&#13;
3Department of Occupational and Environmental Medicine, Hanyang University Hospital, Seoul, Republic of Korea</text>
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                <text> 9 January 2025</text>
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                <text>FAJAR BAGUS W</text>
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                <text>Quantitative Assessment of Work-related Hand-arm Vibration&#13;
Exposure Among Workers in the Construction, Underground Coal&#13;
Mining, Wood Working, and Metal Working Industry: The German&#13;
Hand-arm Vibration Study</text>
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                <text>Exposure assessment&#13;
German hand-arm vibration study&#13;
Hand-arm vibration</text>
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                <text>Standardized exposure assessments were conducted to quantify the historical occupational&#13;
exposure to hand-arm vibration of workers in the German construction, underground coal mining,&#13;
woodworking, and metalworking industries.&#13;
Methods: A two-step approach was used to assess historical vibration exposure. In the first step, individual work histories were reconstructed by standardized personal interviews. The interview focused on&#13;
the identification of relevant power tools used throughout the working life. In the second step, an&#13;
equipment-exposure-matrix was constructed by industrial hygiene measurements. By linking the power&#13;
tools in the work history to the equipment-exposure-matrix, individual daily, and long-term vibration&#13;
exposures can be quantified.&#13;
Results and conclusions: A total of 423 power tools were identified for 5,115 exposure segments over a&#13;
period of 50 years. 97.2% of the vibration values were based on industrial hygiene measurements. The&#13;
total vibration value (ahv) of the power tools used varied between 0.8 m/s2 and 65.2 m/s2 with a median&#13;
value of 14.2 m/s2&#13;
. The median value of cumulative vibration exposure is Dhv ¼ 121,971 (range: 23-&#13;
3,374,640) m2&#13;
/s4&#13;
$day, corresponding to a daily vibration exposure of ahv(8) ¼ 7 m/s2 for 2489 working&#13;
days (11.3 years).&#13;
This study provides a detailed description of hand-arm vibration exposure among workers in the related&#13;
industries studied. Our analyses indicate that the quantification of daily vibration exposure is often&#13;
uncertain and should be interpreted with caution. In contrast, cumulative vibration exposure is a more&#13;
reliable exposure parameter for describing general working conditions and for guiding the prevention&#13;
and compensation of vibration-related health problems.</text>
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                <text>Yi Sun 1,*, Frank Bochmann 1&#13;
, Winfried Eckert 2&#13;
, Benjamin Ernst 3&#13;
, Christian Freitag 3&#13;
,&#13;
Uwe Kaulbars 6&#13;
, Uwe Nigmann 4&#13;
, Christina Samel 1&#13;
, Christian van den Berg 5&#13;
,&#13;
Nastaran Raffler 3</text>
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                <text>1Unit Exposure Monitoring and Cause-Effect Relationships, Institute for Occupational Safety and Health of the German Social Accident Insurance (IFA),&#13;
Sankt Augustin, Germany&#13;
2German Social Accident Insurance Institution for the Building Trade, Stuttgart, Germany&#13;
3Unit Vibration, Institute for Occupational Safety and Health of the German Social Accident Insurance (IFA), Sankt Augustin, Germany&#13;
4German Social Accident Insurance Institution for the Woodworking and Metalworking Industries, Dusseldorf, Germany&#13;
5German Social Accident Insurance Institution for the Raw Materials and Chemical Industry, Bochum, Germany&#13;
6 Engineer, Office for Human Vibration in Workplaces, Bonn, Germany</text>
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                <text>FAJAR BAGUS W</text>
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                <text>Do Short-Term Improvements in Activities of Daily Living and&#13;
Instrumental Activities of Daily Living Have Association With Return&#13;
to Work in Workers With Occupational Injury? From an Occupational&#13;
Injury Cohort in Taiwan</text>
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                <text>Activities of daily living (ADL)&#13;
Instrumental activities of daily living (IADL)&#13;
Occupational injury&#13;
Return to work (RTW)</text>
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                <text> Rates of return to work (RTW) after an occupational injury vary considerably according to a&#13;
range of factors. Limited studies have been conducted on the specific correlation between RTW and&#13;
functional assessments, including activities of daily living (ADL) and instrumental activities of daily living&#13;
(IADL). This prospective cohort study aims to determine if a relationship exists between ADL/IADL and&#13;
RTW among injured workers in Taiwan.&#13;
Methods: We recruited 162 workers who reported work-related injuries from January 2023 to May 2024.&#13;
The assessment of ADL was evaluated using the Barthel Index, whereas IADL was evaluated using the&#13;
Lawton Instrumental Activities of Daily Living scale. ADL/IADL were assessed immediately after the&#13;
injury, at 3 and 6 months postinjury. Logistic regression models were used for the connections between&#13;
ADL, IADL, and RTW while considering various confounding factors.&#13;
Results: The mean ADL and IADL improved significantly at both 3 and 6 months postinjury. Logistic&#13;
regression analysis indicated that IADL scores at 3 and 6 months postinjury were significantly linked to&#13;
RTW. ADL scores lost significance after adjustment. Age was negatively associated with RTW, whereas&#13;
sex and labor insurance status showed no significant association.&#13;
Conclusion: Short-term improvements in IADL are linked to successful RTW, rather than ADL for occupationally injured workers. Evaluations of IADL should be incorporated into rehabilitation plans to&#13;
predict and improve RTW. Thorough rehabilitation approaches that address various aspects of functional&#13;
abilities may be crucial to support successful RTW. Further studies are required to validate these results</text>
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                <text>Fa-Chen Lin 1,2&#13;
, Chia-Pin Lin 1&#13;
, Hung-Yi Chuang 3,4&#13;
, Tse-Wei Wu 1,5&#13;
, Peng-Ju Huang 6&#13;
,&#13;
Chen-Cheng Yang 1,3,*, Chao-Hung Kuo 7</text>
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                <text>1Department of Occupational and Environmental Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan&#13;
2Department of Medical Education and Research, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan&#13;
3Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan&#13;
4Department of Public Health and Environmental Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan&#13;
5Department of Medical Education, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan&#13;
6Department of Orthopaedic, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan&#13;
7Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan</text>
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                <text> 3 January 2025</text>
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                <text>FAJAR BAGUS W</text>
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                  <text>Safety and Health at Work Vol. 16 Issue 1 2025</text>
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                <text>Development of an Enhanced Risk Assessment Model for Humane&#13;
Robot Collaboration and its Application</text>
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                <text>Collaborative robot&#13;
Humanerobot collaboration&#13;
Psychosocial risk&#13;
Risk assessment model&#13;
Robot safety</text>
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                <text> Collaborative robots have emerged as a solution for complex and precision-driven tasks.&#13;
However, there is no comprehensive risk assessment model for collaborative robotic work in the Republic of Korea. Thus, we aim to develop a risk assessment model tailored to the unique characteristics of&#13;
human-robot collaboration.&#13;
Methods: In this study, we examine the risk assessment factors in three key fields: worker, robotic&#13;
systems, and work environment. The items adopted in the existing models of HFACS, USUS, and human&#13;
erobot trust were initially selected to extract items for the risk assessment model. The analytic hierarchy&#13;
process methodology was applied to refine and prioritize the evaluation items. Score scales were constructed for the six checklists. A five-level score ranging from one to five was given to each question in&#13;
the checklist, and the average score was used to quantitatively evaluate each area.&#13;
Results: The six evaluation checklists coalesced to constitute a comprehensive risk assessment model&#13;
was adjusted for collaborative robot operations. Implementing the proposed model in six robot-operated&#13;
workplaces yielded consistent results. Companies involved in previous robot-related accidents exhibited&#13;
deficiencies in these risks than accident-free robot workplaces. Thus, comprehensive risk assessments&#13;
encompassing the necessary factors are crucial to prevent accidents in robot-related work environments.&#13;
Conclusion: The proposed risk assessment model can offer a robust foundation for guiding the future&#13;
development of diverse risk assessment models for collaborative robot environments and facilitate the&#13;
safe coexistence of humans and robots in the Industry 4.0 era</text>
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                <text>Kangdon Lee 1&#13;
, Jae-Yong Lim 2,*</text>
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                <text>https://pdf.sciencedirectassets.com/287282/1-s2.0-S2093791125X00020/1-s2.0-S2093791124000969/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEFcaCXVzLWVhc3QtMSJHMEUCIQCTLlHNyLFDPgtzXYI5IPxhg7%2BCuhJmASCCi%2FqaCmnNIAIgWyY0Wjn1mUsoS4KCMfvxePKsgBfItB1J5BGnVR%2Bvr5IqswUIIBAFGgwwNTkwMDM1NDY4NjUiDIRXErfJo48b2jKkcCqQBTcdTMolbgh96C0ayfFPVdIEuU3meBpY6d2fPaNWL%2BkJv86%2FU6SnAuB%2FfPNX89jE7qL4nRvzKedHQ08h8aMunQRbuZE0PNzr2zbCXEmIgegqzC2DA%2FggLuzHfyHivglZPu2WaU0IX%2FX4qxKRQKcfZyEt%2Bj17LubW6%2Ff3nMSWNUA0jYWrNBuzdAfkLX3IXxshVgAXXMJeDa3tgjfUKvedtFPQJc6g34yRgAVJGJt2urbtOBqsxwJy1N3UA3R41VGPaOsWdPKgjoBIkFuqBJyR462xTWuPmEVGDq9oQf10zrCOButSWBZ0Dp1xoA9yaPOdVoSsIiOhVFMa2GMIB7a14orAUFXx4q41PRrHCwUW04sLVnWhltK%2BDpse34hsX4I7pTOCsOFb3VjMRE%2BUecsJA44OuPE37v09WOKp%2BYmn%2B1U4IqCXa4EuSUsEWF1VFH2b0%2B%2B6g%2B8bdveinde1WcfhPbdB%2BDwJ35j5iyHIjM%2BhBBkGooxATEJmM1aoB%2FZ%2B7%2BpxlG6PphwUUxO9T6ObXSum0wcOO%2BRubk%2FsUQRtzV4cYM6%2F0eq348qBYgQv84WCnBUl1tej0%2FSqxcs3V3qkxL00m7xZZq9RkGmDnTztlk3W62k42NX7Obbc1eMvCjCJAYLvGiKR9aCCzM2wbJ06GgMdn%2FIafv1ybQefc03mtoW1F5lZ8QGGTGUHhX6cF3Fq2mwmTWIa46DOPoapmokTuQubgLCADQKgsh3C3OW35HitMqlCOI31oTAIvC3BFLtfrDGs6sWT17ygEoh36tOs8CQDSDxuNi67flv3TKgN%2BMXBelLIN8794Y1BtiJZzs7XuM%2FIXpqC0qoaWvFLbUpwGDwT%2BDRA1uafNDkyD5zWVtTfs5%2BUMIHO%2F8wGOrEBkwoBHPH9oKUclcHEW9vgnfC02SUwXaK3eRDHOwQlNF821kdEXysV5gaQ4XBy%2BllVKuw3ROKtU7CWOW%2B2cv3%2BDesI33l8y8cPZEqlsgrxk%2B15LBCDKmuWekNAmB9uJ10R5v1aimnBrlr5raHwY9DMyR2nWXe%2BLZFm8BYQUGuHDL8e9LgLtsVT9cYNlYDyaerfdJyx7aIP55ziapFLe6c7DFg1X%2BH4j4y%2FFuOXGczzMAVc&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20260226T073756Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTY4YPXGUSF%2F20260226%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=d42416bb019f302cf10c52a62844f6bd495053065b604df2d16741b1ff42268a&amp;hash=80765bf65423bc5a8df07a6c2cda8bc0d1d6db3d2191a7666dda12fb0c0ae199&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S2093791124000969&amp;tid=spdf-1c8e724c-6c9c-4e31-9bb8-e325d06a0dc8&amp;sid=830681cc5d60f646526bf61913cd5206d1e8gxrqb&amp;type=client&amp;tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&amp;rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&amp;ua=0b015e065406025001&amp;rr=9d3dc7adfea1ea7d&amp;cc=id</text>
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              <elementText elementTextId="127170">
                <text>SHE DX Division, SK Inc., 41, Cheonggeycheon-ro, Jongro-gu, Seoul, 03188, Republic of Korea&#13;
2Department of Safety Engineering, Seoul National University of Science and Technology, 232, Gongneung-ro, Nowon-gu, Seoul, 01811, Republic of Korea&#13;
</text>
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                <text> 26 December 2024</text>
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                <text>FAJAR BAGUS W</text>
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            <elementTextContainer>
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              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="126699">
                  <text>Safety and Health at Work Vol. 16 Issue 1 2025</text>
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                <text>Exploration of Barriers and Facilitators to Healthy Eating in UK Truck&#13;
Drivers</text>
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                <text>Food choices&#13;
Heavy goods vehicle drivers&#13;
Nutrition&#13;
Obesity&#13;
Occupational health</text>
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                <text> The working environment of truck drivers promotes unhealthy lifestyle behaviours&#13;
including physical inactivity and poor dietary choices. This leads to high levels of chronic diseases and a&#13;
reduced life expectancy compared to other occupational groups. However, little is known about how&#13;
drivers in the UK perceive their working environment and how this affects their food choices. This study&#13;
aimed to gain a better understanding of long-haul (8e10-hour shifts) truck drivers’ needs regarding&#13;
healthy food choices whilst on the road to better inform future health promotion programmes and policy&#13;
needs.&#13;
Methods: Individual semi-structured interviews were conducted, allowing an in-depth exploration of&#13;
truck drivers’ experiences. The interview guide was grounded within the COM-B model and theoretical&#13;
domains framework. Audio recordings were anonymised and transcribed verbatim and data analysed&#13;
using thematic analysis.&#13;
Results: Ten drivers (8 male) were interviewed with a mean age of 49 years (SD 9.7). Frequently&#13;
mentioned barriers to healthy eating were limited availability of affordable healthy food options at truck&#13;
stops, food storage limitations, and limited time for food preparation. Commonly reported facilitators to&#13;
improve drivers’ diet were flexible break times, shorter shifts, secure parking places and/or betterequipped vehicles.&#13;
Conclusions: Limited availability of healthy food options, high costs, poor facilities within rest areas, long&#13;
working hours/shifts, and lack of food storage and preparation time, negatively impacts UK truck drivers’&#13;
eating behaviours. This study highlights that multi-component interventions targeting the individual,&#13;
environment and policy, are ultimately needed to improve truck drivers’ working conditions and healt</text>
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, Stacy A. Clemes 1,2</text>
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                <text>1 School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom&#13;
2NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and the University of Leicester, United Kingdom</text>
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                  <text>Safety and Health at Work Vol. 16 Issue 1 2025</text>
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                <text>Relationship Between Quality of Life and Occupational Health Literacy&#13;
Among Informal Wood Furniture Workers in Thailandq</text>
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                <text>Health literacy&#13;
Informal wood furniture workers&#13;
Quality of life&#13;
Thailand</text>
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                <text>Informal wood furniture workers face various occupational health and safety risks that may&#13;
impact their health and quality of life (QOL). Improving health literacy (HL) could help mitigate these&#13;
risks. This study aims to assess HL levels and their relationship to QOL among this group in Thailand.&#13;
Methods: This cross-sectional study was conducted in 2023 and involved 175 informal wood furniture&#13;
workers employed in Ban Ma, Lamphun province, Thailand. Data collection instruments comprised the&#13;
Occupational Health Literacy Questionnaire (TOHLS-IF) and a questionnaire assessing informal workers’&#13;
QOL. Analysis encompassed descriptive statistics alongside partial correlation analysis (p &lt; 0.05).&#13;
Results: Respondents demonstrated high overall health literacy (2.34 � 0.45). Considering eight dimensions of QOL in the sample, some variables, such as insufficient income, debt, and underlying disease,&#13;
were prevalent at high percentages and seemed to diminish workers’ QOL. After adjustment for gender,&#13;
age, level of education, and work experience, most QOL dimensions correlated positively with workers’&#13;
HL levels (p &lt; 0.05); significant variables included career goal setting (rs ¼ 0.27, p &lt; 0.001), conflicts in&#13;
workplace (rs ¼ 0.20, p ¼ 0.009), environmental satisfaction (rs ¼ 0.41, p &lt; 0.001), readiness to use&#13;
internet (rs ¼ 0.28, p &lt; 0.001) and applications (rs ¼ 0.29, p &lt; 0.001), coworker’s respect (rs ¼ 0.15,&#13;
p ¼ 0.003), and goal setting to advance career (rs ¼ 0.28, p &lt; 0.001). No significant relationship was&#13;
observed between prevalent QOL-diminishing factors and health literacy.&#13;
Conclusion: The observed link between HL levels and multiple dimensions of QOL among informal wood&#13;
furniture workers underscores the need for targeted interventions. Policymakers and social initiatives&#13;
should focus on promoting health literacy and relevant skills to enhance QOL within this populatio</text>
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                <text>Nursing Division, Faculty of Nursing, 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. 16 Issue 1 2025</text>
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                <text>Management and Collection of Occupational Data for Health (ODH) in&#13;
National Public Health Statistics: Evaluation and Recommendations&#13;
for Korea</text>
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                <text>Job exposure matrix (JEM)&#13;
Occupation-related data and information&#13;
for health&#13;
Potential occupational illness and injuries&#13;
Standard Occupational Classification (KSCO)</text>
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                <text>The aims of this study are to examine how occupation-related data and information for&#13;
health (ODH) are collected and managed from census-based surveys and potential occupational illness&#13;
and injuries (POIS) statistics, and to propose a national strategy for the systematic collection, analysis,&#13;
and management of ODH by building on the Korean Standard Classification of Occupation (KSCO) and&#13;
using a job exposure matrix (JEM).&#13;
Methods: The status of the collection and management of ODH registered as national statistics, drawn&#13;
not only from the census-based general population and workforce, but also from POIS statistics was&#13;
reviewed and evaluated.&#13;
Results: ODH from the Republic of Korea’s Census of Population and Labor Force are collected and&#13;
classified according to the KSCO. In contrast, national statistics on POIS are not systematically collected&#13;
for KSCO coding, reflecting the lack of an KSCO and related guidelines on how to collect ODH. Key&#13;
frameworks for the construction of both an KSCO and a reference JEM for public health surveillance are&#13;
proposed.&#13;
Conclusions: Further research is needed to develop a national system for collecting and managing ODH,&#13;
which will ultimately contribute to the use of a national KSCO and the construction of JEM for public&#13;
health surveillance</text>
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                <text>Dong-Uk Park 1,*, Kyung Ehi Zoh 2,3&#13;
, Yun-Keun Lee 4&#13;
, Hoekyeong Seo 5&#13;
, Sangjun Choi 6&#13;
,&#13;
Dong-Hee Koh 7&#13;
, Jin-Ha Yoon 8&#13;
, Kanwoo Youn 9&#13;
, Mo-Yeol Kang 10, Eun Suk Choi 11,&#13;
Jungwon Kim 12, Yangho Kim 13, Domyung Paek</text>
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                <text>The aims of this study are to examine how occupation-related data and information for&#13;
health (ODH) are collected and managed from census-based surveys and potential occupational illness&#13;
and injuries (POIS) statistics, and to propose a national strategy for the systematic collection, analysis,&#13;
and management of ODH by building on the Korean Standard Classification of Occupation (KSCO) and&#13;
using a job exposure matrix (JEM).&#13;
Methods: The status of the collection and management of ODH registered as national statistics, drawn&#13;
not only from the census-based general population and workforce, but also from POIS statistics was&#13;
reviewed and evaluated.&#13;
Results: ODH from the Republic of Korea’s Census of Population and Labor Force are collected and&#13;
classified according to the KSCO. In contrast, national statistics on POIS are not systematically collected&#13;
for KSCO coding, reflecting the lack of an KSCO and related guidelines on how to collect ODH. Key&#13;
frameworks for the construction of both an KSCO and a reference JEM for public health surveillance are&#13;
proposed.&#13;
Conclusions: Further research is needed to develop a national system for collecting and managing ODH,&#13;
which will ultimately contribute to the use of a national KSCO and the construction of JEM for public&#13;
health surveillance</text>
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                  <text>Safety and Health at Work Vol. 16 Issue 1 2025</text>
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                <text>Development of a Korean Safety Ladder With Ensured Overturning&#13;
Stability</text>
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                <text>K-ladder&#13;
Outrigger&#13;
Overturning&#13;
Portable ladder&#13;
Stability</text>
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                <text> We have developed the Korean safety ladder as part of development of new safety technologies that can be accepted in industrial sites and would like to introduce the testing process to secure&#13;
safety.&#13;
Methods: The test load and horizontal force prescribed by ANSI A14.7 and EN131-7 standards for only the&#13;
overturning stability test were applied to calculate the weight required for securing overturning stability&#13;
according to standards and installation of outrigger with the variables of the height of platform, the angle&#13;
of inclination of the worker, and the size of the platform.&#13;
Results: The weight of a Korean safety ladder required for securing overturning stability according to the&#13;
height is as follows: as mentioned by the ANSI A14.7, it is stable regardless of the weight when an&#13;
outrigger. By the EN131-7 standard, a 5-step ladder is stable regardless of the weight, but 54 kg or more&#13;
of weight is required for an 8-step ladder when an outrigger is installed. When there is no outrigger,&#13;
122 kg and 251 kg are required for 5-step and 8-step ladders, respectively.&#13;
Conclusion: It is necessary to restrict inclined working on the platform at less than 66� of inclination&#13;
angle by the EN131-7 standards and secure 43 kg or more of weight in the minimum width of a platform&#13;
of 400 mm or expand the ladder width or open length of the outrigger.</text>
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                <text>Giyeol Lee 1&#13;
, Jeongjae Park 2&#13;
, Ilnam Lee 3&#13;
, Jongmoon Hwang 2,</text>
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              <elementText elementTextId="127076">
                <text>Department of Landscape Architecture, College of Agriculture and Life Sciences, Chonnam National University, Gwangju, Republic of Korea&#13;
2Occupational Safety and Health Research Institute, Republic of Korea Occupational Safety and Health Agency, Ulsan, Republic of Korea&#13;
3Gyeonggi Regional Office, Republic of Korea Occupational Safety and Health Agency, Gyeonggi, Republic of Korea</text>
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            <name>Date</name>
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                <text> 10 November 2024&#13;
</text>
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            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="127078">
                <text>FAJAR BAGUS W</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
            <elementTextContainer>
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              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
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                  <text>Safety and Health at Work Vol. 16 Issue 1 2025</text>
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      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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                <text>Development of the Quality of Life Scale for Shift-working Nurses</text>
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                <text>Nurse&#13;
Psychometry&#13;
Quality of life&#13;
Scale development&#13;
Shift work</text>
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                <text>Background and aim: Shift work is known to have a significant impact on the health and well-being of&#13;
nurses, and there is a need for practical tools to assess this impact. This study introduces the “Quality of&#13;
Life Scale for Shift-Working Nurses” (QoLS-SWN), which was developed to provide a reliable and valid&#13;
tool for assessing the effects of shift work on nurses’ health and well-being.&#13;
Methods: This study employed a methodological research design to develop and validate a new scale for&#13;
assessing the quality of life of shift-working nurses. Data were collected from two samples of nurses&#13;
working in various hospitals. The first sample (n ¼ 202) was used for exploratory factor analysis (EFA) to&#13;
identify the scale’s underlying factor structure. The second sample (n ¼ 246) was used for confirmatory&#13;
factor analysis (CFA) to validate the identified structure. The development process included an extensive&#13;
literature review, expert consultations, and pilot testing. Factor analysis and reliability tests were conducted to ensure that the scale is highly reliable.&#13;
Results: The QoLS-SWN demonstrated excellent reliability, with a Cronbach’s alpha of 0.95, and factor&#13;
loadings ranging from 0.56 to 0.90. The scale comprises three dimensions: physical and mental&#13;
exhaustion, health risks and job safety, and social and psychological interactions, explaining 71.89% of the&#13;
total variance. CFA affirmed the structural validity of the scale, with fit indices indicating a good model fit&#13;
(CMIN/df ¼ 2.33, GFI ¼ 0.86, IFI ¼ 0.95, TLI ¼ 0.94, CFI ¼ 0.95, RMSEA ¼ 0.07).&#13;
Conclusion: The QoLS-SWN is a reliable and valid tool for measuring the impact of shift work on nurses’&#13;
quality of life. By providing insights into the multifaceted consequences of shift work, the scale may&#13;
guide the development of targeted interventions to enhance nurses’ quality of life. This scale can inform&#13;
nursing practice and policy, ultimately improving nurse well-being and patient care outcomes.</text>
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                <text>Development of the Quality of Life Scale for Shift-working Nurses</text>
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                <text>Faculty of Health Sciences, Gaziantep University, Turkey&#13;
2 Vocational School of Health Services, S¸ ırnak University, Turkey 3 S¸ avs¸ at Vocational School, Artvin Çoruh University, Turkey</text>
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                <text>FAJAR BAGUS W</text>
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                <text>Enhancing Workplace Well-being: Unveiling the Dynamics of Leadere&#13;
Member Exchange and Worker Safety Behavior Through Psychological&#13;
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Leader-member exchange&#13;
Moderated mediation&#13;
Psychological safety&#13;
Safety behavior</text>
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                <text>In healthcare, ensuring safety is crucial for quality care and patient outcomes. While&#13;
research links leaderemember exchange (LMX) quality to safety behavior, this remains understudied in&#13;
healthcare. Our study explores LMX’s long-term impact on safety behavior, proposing a model that includes the moderated mediating role of psychological safety and job satisfaction in the relationship&#13;
between LMX and safety behaviors, regarding compliance (SCB) and participation (SPB). By identifying&#13;
the mechanisms through which LMX influences safety behavior, this study can provide insights into the&#13;
development of interventions that promote workplace safety and enhance the well-being of healthcare&#13;
workers.&#13;
Methods: We collected data from 325 Algerian healthcare workers across three public hospitals at three&#13;
points. Through SmartPLS analysis, we used advanced features of Partial Least Squares Structural&#13;
Equation Modeling (PLS-SEM) alongside PROCESS analysis to evaluate the relationships within our&#13;
proposed model.&#13;
Results: Our analysis found a significant association between higher LMX and increased job satisfaction&#13;
that positively correlated with enhanced SCB adherence and mediated the LMXeSCB relationship. This&#13;
relationship was strengthened with high psychological safety.&#13;
Conclusion: Our study emphasizes the crucial role of LMX quality in shaping safety behavior among&#13;
Algerian healthcare workers, providing insights for cultivating a safety culture in healthcare settings,&#13;
highlighting the significance of prioritizing LMX, JS, and PS to improve workplace safety and support&#13;
healthcare worker well-being</text>
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                <text>Aida Bennouna 1,*, Assia Boughaba 1&#13;
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                <text> Health and Safety Industrial Institute, University of Batna 2, Laboratory of Research in Industrial Prevention (LRPI), Fesdis, Batna, 05078, Algeria 2 Faculty of Economic Commerce and Management Sciences, Finance and Accounting, 12002, Tebessa, Algeria&#13;
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