scholarly journals Use of Logistic Regression to Identify Factors Influencing the Post-Incident State of Occupational Injuries in Agribusiness Operations

2019 ◽  
Vol 9 (17) ◽  
pp. 3449 ◽  
Author(s):  
Fatemeh Davoudi Kakhki ◽  
Steven A. Freeman ◽  
Gretchen A. Mosher

Agribusiness industries are among the most hazardous workplaces for non-fatal occupational injuries. The term “post-incident state” is used to describe the health status of an injured person when a non-fatal occupational injury has occurred, in the post-incident period when the worker returns to work, either immediately with zero days away from work (medical state) or after a disability period (disability state). An analysis of nearly 14,000 occupational incidents in agribusiness operations allowed for the classification of the post-incident state as medical or disability (77% and 23% of the cases, respectively). Due to substantial impacts of occupational incidents on labor-market outcomes, identifying factors that influence the severity of such incidents plays a significant role in improving workplace safety, protecting workers, and reducing costs of the post-incident state of an injury. In addition, the average costs of a disability state are significantly higher than those of a medical state. Therefore, this study aimed to identify the contributory factors to such post-incident states with logistic regression using information from workers’ compensation claims recorded between 2008 and 2016 in the Midwest region of the United States. The logistic regression equation was derived to calculate the odds of disability post-incident state. Results indicated that factors influencing the post-incident state included the injured body parts, injury nature, and worker’s age, experience, and occupation, as well as the industry, and were statistically significant predictors of post-incident states. Specific incidents predicting disability outcomes included being caught in/between/under, fall/slip/trip injury, and strain/injury by. The methodology and estimation results provide insightful understanding of the factors influencing medical/disability injuries, in addition to beneficial references for developing effective countermeasures for prevention of occupational incidents.

Author(s):  
Dawn N. Castillo ◽  
Timothy J. Pizatella ◽  
Nancy A. Stout

This chapter describes occupational injuries and their prevention. It describes in detail the causes of injuries and epidemiology of injuries. Occupational injuries are caused by acute exposure in the workplace to safety hazards, such as mechanical energy, electricity, chemicals, and ionizing radiation, or from the sudden lack of essential agents, such as oxygen or heat. This chapter describes the nature and the magnitude of occupational injuries in the United States. It provides data on risk of injuries in different occupations and industries. Finally, it discusses prevention of injuries, using a hierarchical approach to occupational injury control.


2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Clint Pinion

More than five thousand workers lost their lives in 2018 due to occupational incidents. Research suggests that increased job control and safety citizenship can help mitigate occupational incidents. This study aims to answer the following research question: Does a relationship exist between the behavior of reporting occupational injuries and both job control and safety citizenship? This exploratory cross-sectional study used an employee perception questionnaire to examine the behavior of reporting occupational injuries, employee job control, and six safety citizenship sub-dimensions of action (i.e. stewardship, civic virtue, whistleblowing, initiating safety-related change, voice, and helping) at two companies in the Midwestern region of the United States. The survey consisted of 34 items and used a 5-point Likert Scale to quantify the data gathered along with other demographic variables. An ordinal logistic regression analysis to investigate the relationship between the behavior of reporting occupational injuries, job control, and the six sub-dimensions of safety citizenship was conducted. Results indicate that job control ( X2 = 8.512, df = 1, p < 0.05) and whistleblowing (X2 = 4.836, df = 1, p < 0.05) predict the behavior of occupational injury reporting.


2019 ◽  
Vol 12 (1) ◽  
Author(s):  
John Amissah ◽  
Eric Badu ◽  
Peter Agyei-Baffour ◽  
Emmanuel Kweku Nakua ◽  
Isaac Mensah

Abstract Objective This study aims to examine the predisposing factors influencing occupational injuries among frontline construction workers in Ghana. A cross-sectional survey was carried out with 634 frontline construction workers in Kumasi metropolis of Ghana using a structured questionnaire. The study was conducted from December 2016 to June 2017 using a household-based approach. The respondents were selected through a two-stage sampling approach. A multivariate logistics regression model was employed to examine the association between risk factors and injury. Data was analyzed employing descriptive and inferential statistics with STATA version 14. Results The study found an injury prevalence of 57.91% among the workers. Open Wounds (37.29%) and fractures (6.78%) were the common and least injuries recorded respectively. The proximal factors (age, sex of worker, income) and distal factors (e.g. work structure, trade specialization, working hours, job/task location, and monthly off days) were risk factors for occupational injuries among frontline construction workers. The study recommends that policymakers and occupational health experts should incorporate the proximal and distal factors in the design of injury prevention as well as management strategies.


2011 ◽  
Vol 2011 ◽  
pp. 1-6 ◽  
Author(s):  
Ian Janssen ◽  
Eric Bacon ◽  
William Pickett

Objectives.To examine associations between obesity and occupational injury.Methods.Participants consisted of a representative sample of 7,678 adult Canadian workers. Participants were placed into normal weight, overweight, and obese categories based on their body mass index. Different injury types, location, and external causes were measured. Logistic regression was used to estimate relationships.Results.By comparison to normal weight workers, obese workers were more likely to report any occupational injuries (odds ratio (OR) 1.40, 95% confidence interval (CI): 0.98–1.99) and serious occupational injuries (1.49, 0.99–2.26). These relationships were more pronounced for sprains and strains (1.80, 1.04–3.11), injuries to the lower limbs (2.14, 1.12–4.11) or torso (2.36, 1.13–4.93), and injuries due to falls (2.10, 0.86–5.10) or overexertion (2.08, 0.96–4.50). Female workers, workers ≥40 years, and workers employed in sedentary occupations were particularly vulnerable. Increased risks were not identified for overweight workers.Conclusions.Obese workers experienced 40–49% higher risks for occupational injury.


2021 ◽  
Vol 72 (1) ◽  
pp. 42-52
Author(s):  
Mohsin Abbas ◽  
Rashid Saeed ◽  
Zaki-ul-Zaman Asam

Abstract This is a retrospective analysis of annual reports on occupational injuries issued by the national social insurance agency of the Kingdom of Saudi Arabia (KSA) for the years 2004 through 2016. For each criterion we calculated an index based on the equation NY/Nref x100, where NY is the number of occupational injuries by a specific criterion in a specific year Y, and Nref is the number of injuries in the corresponding criterion in the reference year, i.e. 2004. We also calculated the number of injuries to number of workers ratio (Ni/Nw ) for different occupations and economic sectors to get a clearer idea of the injury trends per worker. In terms of occupational injury rates (with respect to 2004), we observed increases in construction, financing & real estate (economic sectors), among engineers and technicians (occupations), in infections and secondary contusions (injury type), for upper and lower limbs (affected body parts), over falls and “other” causes. Most injuries occurred on Fridays, which is a weekend day in Saudi Arabia. We also observed increased recovery without disability (injury status). However, if we look at the number of occupational injuries per worker, we can see a decreasing trend over time for all occupations and economic sectors, most likely thanks to improved labour law and safety at work practices for insured workers. Our findings are similar to reports from other Persian Gulf countries and reflect current labour health and safety issues in the area.


Author(s):  
Adebimpe Obembe ◽  
Ayodele Onigbinde ◽  
Olubusola Johnson ◽  
Anne Emechete ◽  
Medinat Oyinlola

Background: Bureau of Labour Statistics (BLS) has identified on-the-job injuries as a major problem facing health care workers. There is little data available on injuries sustained by physical therapists in Nigeria. Objective: This sfudy was carried out to detennine the nature, prevalence, job risk factors and consequences of occupational injuries with particular focus on musculoskeletal injuries experienced by physical therapists in the south western part of Nigeria. Methods: A hundred copies, self administered questionnaire composed of thirty (30) close-ended questions were administered to physical therapists working in hospitals and private clinics. Questions included occupational history of the physical therapists; duration of injury; body parts affected; activities that aggravate symptoms; patients predominantly treated; management and preventive strategies. The data were analysed using descriptive analysis. Results: Seventy-eight percent (78%) of the physical therapists had past histories of occupational injuries. The most prevalent injured body parts were the lower back (45.2%), wrist and hand (26%) mid back (10.6%) and neck (6.7%). The highest job risk factors were manual therapy techniques (20.9%), transferring patients (13.8%) and static position (12.2%). Stroke (31.7%) and low back (28.2%) patients were predominantly treated. Activities that cause re-injury include manual technique and repetitive tasks. Muscle strain was the commonest type of injury (55%), while fracture was the least (1 %). Conclusion: This study concluded that occupational injury was high among selected physical therapists in the South West of Nigeria. It also concluded that the low back and hands were the most common sites susceptible to injury, while muscle strain was the most common type of injury. KEYWORDS: Occupational injury, Musculoskeletal injury, Physical therapists


2019 ◽  
Author(s):  
JOHN AMISSAH ◽  
Eric Badu ◽  
Peter Agyei-Baffour ◽  
Emmanuel Kwaku Nakua ◽  
Isaac Mensah

Abstract Objective This study aims to examine the predisposing factors influencing occupational injuries among frontline construction workers in Ghana. A cross-sectional survey was carried out with 634 frontline construction workers in Kumasi metropolis of Ghana using a structured questionnaire. The study was conducted from December 2016 to June 2017 using a household-based approach. The respondents were selected through a two-stage sampling approach. A multivariate logistics regression model was employed to examine the association between risk factors and injury. Data was analyzed employing descriptive and inferential statistics with STATA version 14. Results The study found an injury prevalence of 57.91% among the workers. Open Wounds (37.29%) and fractures (6.78%) were the common and least injuries recorded respectively. The proximal factors (age, sex of worker, income) and distal factors (eg. work structure, trade specialization, working hours, job/task location, and monthly off days) were risk factors for occupational injuries among frontline construction workers. The study recommends that policymakers and occupational health experts should incorporate the proximal and distal factors in the design of injury prevention as well as management strategies.


Author(s):  
Thomas A. Arcury ◽  
Taylor J. Arnold ◽  
Sara A. Quandt ◽  
Haiying Chen ◽  
Gregory D. Kearney ◽  
...  

Children as young as 10 years old are hired to work on farms in the United States (U.S.). These children are largely Latinx. Using interview data collected from 202 North Carolina Latinx child farmworkers in 2017, this analysis documents the heath characteristics and occupational injuries of Latinx child farmworkers and delineates characteristics associated with their health and occupational injuries. Latinx child farmworkers include girls (37.6%) and boys (62.4%), aged 10 to 17 years, with 17.8% being migrant farmworkers. Three-quarters reported receiving medical and dental care in the past year. Respiratory (15.8%) and vision (20.3%) problems were prevalent. Girls more than boys, and younger more than older children had greater health service utilization. Occupational injuries were common, with 26.2% reporting a traumatic injury, 44.1% a dermatological injury, 42.6% a musculoskeletal injury, and 45.5% heat-related illness in the past year. Age increased the odds of reporting work injuries and heat-related illness, and being a non-migrant reduced the odds of reporting work injuries. These results emphasize the need for greater documentation of child farmworker occupational health and safety. They underscore the need to change occupational safety policy to ensure that children working in agriculture have the same protections as those working in all other U.S. industries.


2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
S H Song ◽  
J Y Min ◽  
H J Kim ◽  
K B Min

Abstract Background Accurate reports of occupational injuries are important to monitor workplace safety and health initiatives. In South Korea, media reports, experts, and workers have been constantly raising the issue of underreporting. Supposedly it is because employers have strong market “incentives” by underreporting their employees’ injuries. A critical way to underreport or cover-up is illegal compensation (in Korean called “gong-sang”). Unfortunately, “gong-sang” is not counted as official occupational injury statistics. The aim of this study was to analyze the social media data using topic modeling and to explore issues surrounding “gong-sang”. Methods We used web scraping technology and collected 2,210 social media data from Web search engines. Data was processed to transform unstructured textual documents into structured data using the Python and applied Latent Dirichlet allocation (LDA) in the Python library, Gensim, for topic modeling. Results Based on the LDA method from “gong-sang”- related documentation, 10 topics were identified. Topic 1 was the greatest concern (60.5%), with keywords implying the choice between illegal compensation (“gong-sang”) and legal insurance claims. The next concern was Topic 2 including keywords associated with claims for industrial accident insurance benefits. The rest topics (topic 3-10) showed the monetary issue, precarious employment, and vulnerable body parts to “gong-sang”. Conclusions We explored web-based data and identified the salient issues surrounding “gong-sang”. LDA topics may be helpful to ensure efficient occupational health and safety scheme to protect vulnerable employees from “gong-sang” practices. Key messages The topics formulated by LDA included queries about legal insurance claims. Legal insurance claims including private or social insurance, monetary compensation, injured body parts, and the type of jobs vulnerable to “gong-sang”.


Author(s):  
Jorge N. Zumaeta

This study reports on an experiment using logistic regression to uncover the preponderant factors influencing the likelihood of attaining employment by a welfare recipient in Broward County, Florida. Our study considers whether profiling the participants and tailoring the workforce development services based on their respective profiles can increase their likelihood of finding employment (Black et al., 2003). The study finds that our econometric model predicted the probability of employment with reasonably strong reliability. This finding is in alignment with the Welfare Profiling Model of Michigan’s (Barnow et al., 2012; Eberts, 1997;2002) and the Factors Influencing AFDC Duration and Labor Market Outcomes Research Study of Texas (Schexnayder et al., 1991). More specifically, the results indicate that education and prior employment history are significant factors increasing the likelihood of departing from welfare and achieving employment. Furthermore, the study concludes that the number of children, participant’s age, and the ethnicity of the welfare recipient also play a role in breaking away from welfare. The results from the experiment show that using the econometric model to assign services to individuals increases the likelihood of finding employment from 11% to 24% on average. This is a very encouraging finding since it motivates researchers to perform further research in this area of study.


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