2 10 17 https://repository.horizon.ac.id/files/original/45de7fb8e525c60b24f6420e7486d885.pdf 38b7bfa6c8e6078fad6d352cdaae9d81 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Safety and Health at Work Vol. 10 Issue 4 2019 Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Safety and Health at Work Vol. 10 Issue 4 2019 Long Commute Time and Sleep Problems with Gender Difference in WorkeLife Balance: A Cross-sectional Study of More than 25,000 Workers (Original Article) Subject The topic of the resource Commute time, Sleep problems, Workelife balance, Working hours Description An account of the resource Background: There is a lack of statistical analysis investigating the relationship between sleep problems and commute time in Korea. We aimed to analyze the association between representative health symptoms, sleep disturbances, and commute time according to working hours in Korea. Methods: The 4th Korean Working Conditions Survey data were used for analysis, and unpaid family workers and workers who work fewer than three days in a week were excluded. Commute time, working hours, and sleep hours were assessed using self-reported questionnaires. Odds ratios (ORs) with 95% confidence intervals (CIs) for sleep problems were calculated using a multivariate logistic regression model with 10 min commute time as the reference group. Results: Among a total of 28,804 workers (men 1⁄4 14,945, women 1⁄4 13,859), 2.6% of men and 3.2% of women experienced sleep problems. In both sexes, long commute time (51e60 minutes and >60 minutes) showed an increased OR [men, 2.03 (CI 1⁄4 1.32e3.13) and 2.05 (CI 1⁄4 1.33e3.17); women, 1.58 (CI 1⁄4 1.05e2.39) and 1.63 (CI 1⁄4 1.06e2.50), respectively]. In stratification analysis of working hours, long commute time (51e60 and > 60 minutes) showed an increased OR in men working >40 hours/week [2.08 (CI 1⁄4 1.16e3.71) and 1.92 (CI 1⁄4 1.08e3.41), respectively]. Furthermore, long commute time (41e50, 51e60, and >60 minutes) showed an increased OR in women working >40 hours/week [2.40 (CI 1⁄4 1.27 e4.55), 2.28 (CI 1⁄4 1.25e4.16), and 2.19 (CI 1⁄4 1.17e4.16), respectively]. Moreover, commute time >60 minutes showed an increased OR in women working 40 hours/week [1.96 (CI 1⁄4 1.06e3.62)]. Conclusion: This large cross-sectional study highlights that long commute time is related to sleep problems in both sexes. Shorter commute times and decreased working hours are needed to prevent sleep problems in workers. Creator An entity primarily responsible for making the resource Soojin Kim, Yangwook Kim, Sung-Shil Lim, Jae-Hong Ryoo, Jin-Ha Yoon Publisher An entity responsible for making the resource available Elsevier Korea LLC Date A point or period of time associated with an event in the lifecycle of the resource December 2019 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Safety and Health at Work Vol. 10 Issue 4 2019 Commute time Jurnal Internasional Keperawatan Sleep problems Workelife balance Working hours https://repository.horizon.ac.id/files/original/2fc09101eb3b0bd6219502d2f0dafa3a.pdf 7c3b884fa44fb77e4d8d55af0d69f2ca Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Safety and Health at Work Vol. 10 Issue 4 2019 Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Safety and Health at Work Vol. 10 Issue 4 2019 Calibration of Portable Particulate Matter-Monitoring Device using Web Query and Machine Learning (Original Article) Subject The topic of the resource Calibration, Machine learning, Monitoring and control, Particulate matter, Web query Description An account of the resource Background: Monitoring and control of PM2.5 are being recognized as key to address health issues attributed to PM2.5. Availability of low-cost PM2.5 sensors made it possible to introduce a number of portable PM2.5 monitors based on light scattering to the consumer market at an affordable price. Ac- curacy of light scatteringebased PM2.5 monitors significantly depends on the method of calibration. Static calibration curve is used as the most popular calibration method for low-cost PM2.5 sensors particularly because of ease of application. Drawback in this approach is, however, the lack of accuracy. Methods: This study discussed the calibration of a low-cost PM2.5-monitoring device (PMD) to improve the accuracy and reliability for practical use. The proposed method is based on construction of the PM2.5 sensor network using Message Queuing Telemetry Transport (MQTT) protocol and web query of reference measurement data available at government-authorized PM monitoring station (GAMS) in the republic of Korea. Four machine learning (ML) algorithms such as support vector machine, k-nearest neighbors, random forest, and extreme gradient boosting were used as regression models to calibrate the PMD measurements of PM2.5. Performance of each ML algorithm was evaluated using stratified K-fold cross-validation, and a linear regression model was used as a reference. Results: Based on the performance of ML algorithms used, regression of the output of the PMD to PM2.5 concentrations data available from the GAMS through web query was effective. The extreme gradient boosting algorithm showed the best performance with a mean coefficient of determination (R2 ) of 0.78 and standard error of 5.0 mg/m3 , corresponding to 8% increase in R2 and 12% decrease in root mean square error in comparison with the linear regression model. Minimum 100 hours of calibration period was found required to calibrate the PMD to its full capacity. Calibration method proposed poses a lim- itation on the location of the PMD being in the vicinity of the GAMS. As the number of the PMD participating in the sensor network increases, however, calibrated PMDs can be used as reference devices to nearby PMDs that require calibration, forming a calibration chain through MQTT protocol. Conclusions: Calibration of a low-cost PMD, which is based on construction of PM2.5 sensor network using MQTT protocol and web query of reference measurement data available at a GAMS, significantly improves the accuracy and reliability of a PMD, thereby making practical use of the low-cost PMD possible. Creator An entity primarily responsible for making the resource Byoung Gook Loh, Gi Heung Choi Publisher An entity responsible for making the resource available Elsevier Korea LLC Date A point or period of time associated with an event in the lifecycle of the resource December 2019 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Safety and Health at Work Vol. 10 Issue 4 2019 Calibration Jurnal Internasional Keperawatan machine learning Monitoring and control Particulate matter Web query https://repository.horizon.ac.id/files/original/0785c996be1dacd7109390613df10e11.pdf bd0481dc7f4acfcd451c0a60aef0632f Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Safety and Health at Work Vol. 10 Issue 4 2019 Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Safety and Health at Work Vol. 10 Issue 4 2019 Biomonitoring of Metal Exposure During Additive Manufacturing (3D Printing) (Original Article) Subject The topic of the resource 3D-printing, Additive manufacturing, Metals, Occupational exposure, Particle exposure Description An account of the resource Background: Additive manufacturing (AM) is a rapidly expanding new technology involving challenges to occupational health. Here, metal exposure in an AM facility with large-scale metallic component production was investigated during two consecutive years with preventive actions in between. Methods: Gravimetric analyzes measured airborne particle concentrations, and filters were analyzed for metal content. In addition, concentrations of airborne particles <300 nm were investigated. Particles from recycled powder were characterized. Biomonitoring of urine and dermal contamination among AM operators, office personnel, and welders was performed. Results: Total and inhalable dust levels were almost all below occupational exposure limits, but inductively coupled plasma mass spectrometry showed that AM operators had a significant increase in cobalt exposure compared with welders. Airborne particle concentrations (<300 nm) showed transient peaks in the AM facility but were lower than those of the welding facility. Particle characterization of recycled powder showed fragmentation and condensates enriched in volatile metals. Biomonitoring showed a nonsignificant increase in the level of metals in urine in AM operators. Dermal cobalt and a trend for increasing urine metals during Workweek Year 1, but not in Year 2, indicated reduced exposure after preventive actions. Conclusion: Gravimetric analyses showed low total and inhalable dust exposure in AM operators. However, transient emission of smaller particles constitutes exposure risks. Preventive actions imple mented by the company reduced the workers’ metal exposure despite unchanged emissions of particles, indicating a need for careful design and regulation of the AM environments. It also emphasizes the need for relevant exposure markers and biomonitoring of health risks. Creator An entity primarily responsible for making the resource Stefan A. Ljunggren, Helen Karlsson, Bengt Ståhlbom, Blerim Krapi, Louise Fornander, Lovisa E. Karlsson, Bernt Bergström, Eva Nordenberg, Torunn K. Ervik, Pål Graff Publisher An entity responsible for making the resource available Elsevier Korea LLC Date A point or period of time associated with an event in the lifecycle of the resource December 2019 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Safety and Health at Work Vol. 10 Issue 4 2019 3D-printing Additive manufacturing Jurnal Internasional Keperawatan Metals Occupational exposure Particle exposure https://repository.horizon.ac.id/files/original/ef5b30dc04af7353e8360ea481efebcb.pdf e3490a30e9c47de9c435f28f3e43f863 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Safety and Health at Work Vol. 10 Issue 4 2019 Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Safety and Health at Work Vol. 10 Issue 4 2019 Automated Systems and Trust: Mineworkers’ Trust in Proximity Detection Systems for Mobile Machines (Original Article) Subject The topic of the resource automation, mining, occupational safety, proximity detection, trust Description An account of the resource Background: Collisions involving workers and mobile machines continue to be a major concern in underground coal mines. Over the last 30 years, these collisions have resulted in numerous injuries and fatalities. Recently, the Mine Safety and Health Administration (MSHA) proposed a rule that would require mines to equip mobile machines with proximity detection systems (PDSs) (systems designed for automated collision avoidance). Even though this regulation has not been enacted, some mines have installed PDSs on their scoops and hauling machines. However, early implementation of PDSs has introduced a variety of safety concerns. Past findings show that workers’ trust can affect technology integration and influence unsafe use of automated technologies. Methods: Using a mixed-methods approach, the present study explores the effect that factors such as mine of employment, age, experience, and system type have on workers’ trust in PDSs for mobile ma- chines. The study also explores how workers are trained on PDSs and how this training influences trust. Results: The study resulted in three major findings. First, the mine of employment had a significant influence on workers’ trust in mobile PDSs. Second, hands-on and classroom training was the most common types of training. Finally, over 70% of workers are trained on the system by the mine compared with 36% trained by the system manufacturer. Conclusion: The influence of workers’ mine of employment on trust in PDSs may indicate that practitioners and researchers may need to give the organizational and physical characteristics of each mine careful consideration to ensure safe integration of automated systems. Creator An entity primarily responsible for making the resource LaTasha R. Swanson, Jennica L. Bellanca, Justin Helton Publisher An entity responsible for making the resource available Elsevier Korea LLC Date A point or period of time associated with an event in the lifecycle of the resource December 2019 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Safety and Health at Work Vol. 10 Issue 4 2019 automation Jurnal Internasional Keperawatan Mining occupational proximity detection safety trust https://repository.horizon.ac.id/files/original/37c6dc9469ab6876621ec7969e2633b5.pdf fe4ad34e4b2883b3419e9cf0206bdd7e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Safety and Health at Work Vol. 10 Issue 4 2019 Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Safety and Health at Work Vol. 10 Issue 4 2019 Association Between Occupational Physicochemical Exposures and Headache/Eyestrain Symptoms Among Korean Indoor/Outdoor Construction Workers (Original Article) Subject The topic of the resource Construction worker, Eyestrains, Headache, Physicochemical exposure Description An account of the resource Background: Headache/eyestrain symptoms are common health problems that people experience in daily life. Various studies have examined risk factors contributing to headache/eyestrains, and physi- cochemical exposure was found to be a leading risk factor in causing such symptoms. The purpose of this study was to examine the relationship of headache/eyestrain symptoms with physicochemical exposure among Korean construction workers depended on worksite. Methods: This study used data from the 4th Korean Workers Conditions Survey and selected 1,945 Korean construction workers as participants. Multivariable logistic regression analysis was used to determine the relationship. Results: Exposure to vibrations among all construction workers affected the moderate exposure group [odds ratio (OR) 1.53, 95% confidence interval (CI) 1.01e2.32], the high exposure group (OR 1.77 95%CI 1.17e2.67), and the indoor high exposure group (OR 1.61, 95%CI 1.02-2.55) and among outdoor construction workers, the moderate group (OR 6.61, 95%CI 15.4e28.48) and the high group (OR 6.61, 95%CI 1.56e27.98). When exposed to mist, dust, and fumes, the indoor high exposure group was significantly affected (OR 1.63, 95%CI 1.07e2.47). All construction workers exposed to organic solvents were affected, high exposure group (OR 1.69, 95%CI 1.15e2.49) and indoor high exposure group (OR 1.77, 95%CI 1.08 e2.89). The high exposure group in all construction worker (OR 1.70, 95%CI 1.20e2.42) and the indoor high exposure group (OR 1.83, 95%CI 1.17e2.89) also were affected by secondhand smoking exposure. Conclusion: Many physicochemical exposure factors affect headache/eyestrain symptoms among construction workers, especially indoor construction workers, suggesting a deficiency in occupational hygiene and health environments at indoor construction worksites. Creator An entity primarily responsible for making the resource Sung Won Jung, June-Hee Lee, Kyung-Jae Lee, Hyoung-Ryoul Kim Publisher An entity responsible for making the resource available Elsevier Korea LLC Date A point or period of time associated with an event in the lifecycle of the resource December 2019 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Safety and Health at Work Vol. 10 Issue 4 2019 Construction worker Eyestrains Headache Physicochemical exposure https://repository.horizon.ac.id/files/original/fdf54c554005d834cf74bd5013f05df6.pdf 51bcce125aa86ef5c189d48b8e9de105 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Safety and Health at Work Vol. 10 Issue 4 2019 Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Safety and Health at Work Vol. 10 Issue 4 2019 Activity Level and Body Mass Index as Predictors of Physical Workload During Working Career (Short Communication) Subject The topic of the resource Aging worker, Big data, Functional capacity, Physical activity, Work ability Description An account of the resource The increasing prevalence of inactivity and obesity, along with aging, has implications on work capacity of labor force. This study reports the relationships between activity level and BMI by age with objectively measured physical workload. Data were examined from a sample of 19 481 Finnish employees using an estimate of minute-to-minute oxygen consumption based on R-R interval recordings. The mean estimated %VO2max during the working day was 12.1 (3.6) and 15.1 (4.5)% for men and women, respectively. Based on a linear model, the mean %VO2max increased by 1.5%-unit per 10-year increase in age, by 2.1%-unit per 5 kg/m2 increase in BMI, and decreased by 1.6%-unit if improving physical activity class by two (p < 0.001 for all). Overweight and obesity, together with inactivity, notably increases workload throughout the career, even though at young adulthood, the daily workload is almost the same for each person regardless of the BMI, activity level, or gender. This study highlights the importance of regular physical activity and normal weight in protecting the worker from excessive physical (cardiovascular) workload during the whole working career. Creator An entity primarily responsible for making the resource Satu K. Mänttäri, Juha A.H. Oksa, Jussi Virkkala, Julia A.K. Pietilä Publisher An entity responsible for making the resource available Elsevier Korea LLC Date A point or period of time associated with an event in the lifecycle of the resource December 2019 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Safety and Health at Work Vol. 10 Issue 4 2019 Aging worker Big data functional capacity Jurnal Internasional Keperawatan Physical activity Work ability https://repository.horizon.ac.id/files/original/7e13293dc006668977b795c2763ed139.gif 9a82d9c971f0641736f20a462b7b4b1f Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Safety and Health at Work Vol. 10 Issue 4 2019 Still Image A static visual representation. Examples include paintings, drawings, graphic designs, plans and maps. Recommended best practice is to assign the type Text to images of textual materials. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Cover Safety and Health at Work Vol. 10 Issue 4 2019