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Joseph AE, Singh V, Herlekar M, Sahoo K, Kanungo S, Mishra P, Balaram R. Impact of Health Care Management Workshops on the Health-Seeking Behavior of Traffic Police in Bhubaneswar. Indian J Occup Environ Med 2024; 28:132-137. [PMID: 39114104 PMCID: PMC11302539 DOI: 10.4103/ijoem.ijoem_162_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 11/21/2023] [Accepted: 01/15/2024] [Indexed: 08/10/2024] Open
Abstract
Background Sustainable development goals (SDGs) 3.9.1 and 11.6.2 call for a reduction in deaths and illnesses from air pollution, improving the air quality of cities. The above goals motivate us to organize workshops to improve the health of traffic police, who bear the brunt of air pollution. The paper examines the effect of workshops on the health-seeking behavior of the traffic police in Bhubaneswar city. Methods The study conducted two workshops as a quasi-experimental, single-group study at an academic institution in Bhubaneswar. It included 20 traffic police officers (11 male and 9 female). The Kirkpatrick 4-level model was used to assess the effectiveness of the workshops. A paired t-test was used to compare pre- and postworkshop scores. Results Thirteen traffic police officers rated the workshop sessions as excellent. The score before the workshop ranged from zero to three, with a mean (standard deviation [SD]) of 2.81 (1.0). The postworkshop score had a minimum to maximum score of three to five with a mean (SD) of 4.41 (0.7) (P < 0.005). The effect size dcohen (confidence interval [CI]) was 1.87 (3.27-4.71). The mean (SD) of absolute and relative gain was 1.6 (1.0) and 0.93 (1.02), respectively. All 20 traffic police officers showed improvement in health-seeking behavior. The significant lifestyle changes after the workshops ranged between 5% and 75%. Conclusion The test scores indicated statistically significant improvement as the P value recorded was smaller than 0.05. This concludes that the improvement in understanding of the session was statistically significant because of the training imparted.
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Affiliation(s)
- Abba E. Joseph
- School of Sustainability, XIM University, Bhubaneswar, Odisha, India
| | - Vaishali Singh
- School of Governance and Public Affairs, XIM University, Bhubaneswar, Odisha, India
| | - Mihir Herlekar
- Department of Environmental Science, The Institute of Science, Dr. Homi Bhabha State University, Mumbai, Maharashtra, India
| | - Kalpana Sahoo
- School of Human Resource Management, XIM University, Bhubaneswar, Odisha, India
| | - Srikanta Kanungo
- Department of Public Health, Indian Council of Medical Research, Regional Medical Research Centre, Bhubaneswar, Odisha, India
| | - Puspanjali Mishra
- Department of Nutrition and Dietetics, Institute of Medical Sciences and SUM Hospital (IMS and SH), Bhubaneswar, Odisha, India
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Wang T, Chu J, Yao Z, Yang L, Lu Z, Tian G, Guo X, Jia C. The Relationship Between the Atmospheric Environment and Road Traffic Fatalities - Shandong Province, China, 2012-2021. China CDC Wkly 2024; 6:267-271. [PMID: 38633199 PMCID: PMC11018553 DOI: 10.46234/ccdcw2024.052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 02/29/2024] [Indexed: 04/19/2024] Open
Abstract
Introduction This study aims to analyze the potential impact of the meteorological environment and air pollutants on road traffic fatalities. Methods Road traffic fatality data in Shandong Province from 2012 to 2021 were obtained from the Population Death Information Registration Management System. Meteorological and air pollutant data for the same period were collected from the U.S. National Oceanic and Atmospheric Administration and the Ecological Environment Monitoring Center of Shandong Province, China. Pearson's correlation and ridge regression were used to analyze the impact of the meteorological environment and air pollutants on road traffic fatalities. Results From 2012 to 2021, there were 163,863 road traffic fatality cases. The results of the ridge regression analysis showed that the daily average temperature was negatively correlated with total fatalities and passengers and positively correlated with pedestrians, nonmotorized drivers, and motorized drivers. The daily minimum temperature was negatively correlated with total fatalities and positively correlated with motorized drivers. The daily maximum temperature was positively correlated with both pedestrian and nonmotorized drivers. The daily accumulated precipitation was negatively correlated with pedestrians. Sunshine duration was positively correlated with both nonmotorized and motorized drivers. Inhalable particulate matter (PM10) and nitrogen dioxide (NO2) were positively correlated with total fatalities, pedestrians, and nonmotorized drivers. Sulfur dioxide (SO2) was positively correlated with total fatalities but negatively correlated with nonmotorized drivers, passengers, and motorized drivers. Conclusions Atmospheric factors associated with the occurrence of road traffic fatalities include air temperature, daily accumulated precipitation, sunshine duration, and air pollutants such as PM10, NO2, and SO2.
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Affiliation(s)
- Tao Wang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, China
| | - Jie Chu
- Department for Chronic and Non-Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Zhiying Yao
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, China
| | - Li Yang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, China
| | - Zilong Lu
- Department for Chronic and Non-Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Ge Tian
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, China
| | - Xiaolei Guo
- Department for Chronic and Non-Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Cunxian Jia
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, China
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Murthy GVS. Targeting the vision of workers: World Sight Day 2023. Indian J Ophthalmol 2023; 71:3275-3276. [PMID: 37787220 PMCID: PMC10683683 DOI: 10.4103/ijo.ijo_2431_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023] Open
Affiliation(s)
- GVS Murthy
- International Centre for Eye Health, Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK
- South Asia Centre for Disability Inclusive Development, Indian Institute of Public Health, Hyderabad, Telangana, India. E-mail:
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Wang T, Wang Y, Cui N. Traffic costs of air pollution: the effect of PM 2.5 on traffic violation. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:72699-72717. [PMID: 35614355 DOI: 10.1007/s11356-022-20790-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 05/09/2022] [Indexed: 06/15/2023]
Abstract
Although emerging studies have investigated the effect of air pollution on traffic crashes, it is unclear to scholars whether air pollution affects another road safety problem-traffic violations. To address this gap, the current paper constructs a data set from 1,390,221 traffic violation records of 640,971 drivers from the Wuhan Traffic Management Bureau between January 2018 and December 2018. An ordered logistic regression was conducted to verify our hypotheses. The result shows that PM2.5 has no overall impact on the severity of traffic violations, but each 1% increase in the daily concentration of PM2.5 leads to a 1.02-fold increase in the odds of serious inexperience-related violations and a 0.99-fold decrease in the odds of serious overconfidence-related violations. This effect is the strongest in PM2.5, followed by NO2, and has not been observed in CO and O3. In addition, robustness tests indicate that the relationship between air pollution and traffic violations is consistent among the different subsets (e.g., clear weather, no rain and snow, and good visibility). We also provide valuable practical advice for drivers and traffic authorities.
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Affiliation(s)
- Tao Wang
- School of Economics and Management, Wuhan University, Wuhan, People's Republic of China
- Research Center For Organizational Marketing of Wuhan University, Wuhan University, Wuhan, People's Republic of China
| | - Yu Wang
- School of Economics and Management, Wuhan University, Wuhan, People's Republic of China.
| | - Nan Cui
- School of Economics and Management, Wuhan University, Wuhan, People's Republic of China
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Musculoskeletal Symptoms and Assessment of Ergonomic Risk Factors on a Coffee Farm. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12157703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
In Honduras, some coffee farms must comply with strict standards of social, economic, and environmental sustainability, due to their organic, gender and fair-trade certifications. The principal research aim is to evaluate the musculoskeletal risks in occupations in a Honduran coffee farm certified in sustainable environments and to know the status of its workers within the farm. Musculoskeletal symptom perception during the last twelve months was consulted, assessing exposure to risk factors for work-related musculoskeletal disorders using the Quick Exposure Check method. Data regarding 48 workers were analyzed to provide the results. Within the body regions where discomfort is concentrated, the back, shoulders, wrists, knees, and feet stand out, and the highest risk exposures are presented for the coffee cutters at the neck level and in the wrist/hand segment, in the coffee pickers at the back, shoulder–arm segment, and wrist/hand segment, and in the processors in the back area and shoulder–arm segment. It is concluded that, in all the coffee fruit harvesting processes, the people who work in these jobs are exposed to ergonomic risks.
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