Association between Exposure to Extreme Temperature and Injury at the Workplace

Lee, Junhyeong; Lee, Wanhyung; Choi, Won-Jun; Kang, Suk Bong; Ham, Seunghon

doi:10.3390/ijerph16244955

Cited by 18 publications

(13 citation statements)

References 37 publications

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“…Other working condition factors included in the model show the effects of workplace environment on sick leave: noise, air pollution, extreme temperatures, etc. This was to be expected, because it points in the direction of occupational diseases, in line with several previous studies [44,45].…”

Section: Working Conditionssupporting

confidence: 91%

Prediction of Health-Related Leave Days among Workers in the Energy Sector by Means of Genetic Algorithms

Fuentes

Serrano²,

Lasheras

et al. 2020

Energies

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In this research, a model is proposed for predicting the number of days absent from work due to sick or health-related leave among workers in the industry sector, according to ergonomic, social and work-related factors. It employs selected microdata from the Sixth European Working Conditions Survey (EWCS) and combines a genetic algorithm with Multivariate Adaptive Regression Splines (MARS). The most relevant explanatory variables identified by the model can be included in the following categories: ergonomics, psychosocial factors, working conditions and personal data and physiological characteristics. These categories are interrelated, and it is difficult to establish boundaries between them. Any managing program has to act on factors that affect the employees’ general health status, process design, workplace environment, ergonomics and psychosocial working context, among others, to achieve success. This has an extensive field of application in the energy sector.

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Section: Working Conditionssupporting

confidence: 91%

Prediction of Health-Related Leave Days among Workers in the Energy Sector by Means of Genetic Algorithms

Fuentes

Serrano²,

Lasheras

et al. 2020

Energies

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“…In this study, we found that extreme high temperature was associated with a significant decrease in the risk of PTB at provincial level, although only two prefecture-level cities had found an effect of extreme high temperature on PTB. Epidemiological study has demonstrated that extreme temperature could affect the risk of mortality [31,32], acute myocardial infarction hospital admissions [33], cardiovascular emergency hospitalizations [34], injury [35], infectious diseases (such as, mumps [10], hand-foot-mouth disease [11,36]), etc. In recent years, temperature has been acknowledged as a significant influence factor related to PTB [19,28,29].…”

Section: Discussionmentioning

confidence: 99%

The association between extreme temperature and pulmonary tuberculosis in Shandong Province, China, 2005–2016: a mixed method evaluation

Chen¹,

Lu²,

Zhang³

et al. 2021

BMC Infect Dis

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Background The effects of extreme temperature on infectious diseases are complex and far-reaching. There are few studies to access the relationship of pulmonary tuberculosis (PTB) with extreme temperature. The study aimed to identify whether there was association between extreme temperature and the reported morbidity of PTB in Shandong Province, China, from 2005 to 2016. Methods A generalized additive model (GAM) was firstly conducted to evaluate the relationship between daily reported incidence rate of PTB and extreme temperature events in the prefecture-level cities. Then, the effect estimates were pooled using meta-analysis at the provincial level. The fixed-effect model or random-effect model was selected based on the result of heterogeneity test. Results Among the 446,016 PTB reported cases, the majority of reported cases occurred in spring. The higher reported incidence rate areas were located in Liaocheng, Taian, Linyi and Heze. Extreme low temperature had an impact on the reported incidence of PTB in only one prefecture-level city, i.e., Binzhou (RR = 0.903, 95% CI: 0.817–0.999). While, extreme high temperature was found to have a positive effect on reported morbidity of PTB in Binzhou (RR = 0.924, 95% CI: 0.856–0.997) and Weihai (RR = 0.910, 95% CI: 0.843–0.982). Meta-analysis showed that extreme high temperature was associated with a decreased risk of PTB (RR = 0.982, 95% CI: 0.966–0.998). However, extreme low temperature was no relationship with the reported incidence of PTB. Conclusion Our findings are suggested that extreme high temperature has significantly decreased the risk of PTB at the provincial levels. The findings have implications for developing strategies to response to climate change.

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“…In her classic, Little Women , 25 Louisa May Alcott said, “Some people seemed to get all sunshine, and some all shadow.” Some workers, especially those working outdoors, are unable to avoid direct sunlight exposure and can be classified as a vulnerable population. 26 27 …”

Section: Introductionmentioning

confidence: 99%

Sunlight exposure and eye disorders in an economically active population: data from the KNHANES 2008-2012

Lee

Kim

Lee

et al. 2021

Ann Occup Environ Med

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Background Sunlight exposure is a major risk factor for eye disorders. Most outdoor workers cannot avoid sunlight exposure. This study aimed to analyze the relationship between outdoor sunlight exposure and eye disorders in an economically active population. Methods This study analyzed the 2008–2012 Korea National Health and Nutritional Examination Survey data. Sunlight exposure was categorized as < 5 hours and > 5 hours. We also analyzed the dose-dependent relationship between exposure to sunlight and eye disorders (cataracts, pterygium, and age-related macular degeneration [AMD]) using data from 2010 to 2012 by subdividing the exposure groups into < 2 hours, 2–5 hours, and ≥ 5 hours. Eye disorders were diagnosed by an ophthalmologist. The study participants were stratified by sex, and the results were analyzed using the χ 2 test and multiple logistic regression analysis. Results In the female group, the odds ratio of pterygium in the high-level sunlight exposure group was 1.47 (95% confidence interval [CI]: 1.15–1.89). Regarding AMD, the odds ratios were 1.42 (95% CI: 1.16–1.73), 1.33 (95% CI: 1.03–1.73), and 1.58 (95% CI: 1.15–2.16) in the total, male, and female groups, respectively. Analysis of the dose-response relationship revealed that the odds ratios of pterygium in the high-level sunlight exposure subgroups of the total and female groups were 1.62 (95% CI: 1.25–2.08) and 2.00 (95% CI: 1.39–2.88), respectively. Conclusions This study demonstrated a relationship between sunlight exposure and eye disorders in an economically active population. Women were found to be especially vulnerable to pterygium. However, additional prospective studies to clarify the pathophysiology of pterygium are needed.

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Association between Exposure to Extreme Temperature and Injury at the Workplace

Cited by 18 publications

References 37 publications

Prediction of Health-Related Leave Days among Workers in the Energy Sector by Means of Genetic Algorithms

Prediction of Health-Related Leave Days among Workers in the Energy Sector by Means of Genetic Algorithms

The association between extreme temperature and pulmonary tuberculosis in Shandong Province, China, 2005–2016: a mixed method evaluation

Sunlight exposure and eye disorders in an economically active population: data from the KNHANES 2008-2012

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