Risk factors of occupational injuries and prevention strategy among Chinese frontline firefighters.

Introduction: Occupational injuries and diseases affect approximately 260 million people worldwide and kill nearly 2.3 million people per year. While paramedics and other healthcare workers (HCWs) are responsible for ensuring the health of others, their working environment is also considered to be one of the most hazardous environments. Purpose: To describe the prevalence and risk factors associated with occupational injuries, as well as perceptions of both the mitigation and prevention of occupational injuries among paramedics working for KwaZulu-Natal (KZN) Emergency Medical Rescue Services (EMRS). Methodology: The study adopted a quantitative, descriptive, cross-sectional approach. The study population comprised operational paramedics working for the KZN EMRS with a sample of 334 paramedics being drawn from a total of 2378 KZN EMRS paramedics. The study was conducted in five of the eleven districts in KZN. The data collection methods used included a closed ended questionnaire and a document review. The data which had been collected was analysed using Stata version 15. The Pearson chi-squared test was used to test for associations between any two categorical variables and, in instances, where Pearson chi-squared test was invalid Fisher’s exact test was used. A p-value of less than 0.05 was considered to be statistically significant. Results: Two of the five districts provided the required information for reviewing the records. A total of 36 injuries were reported in the two districts between 2011 and 2018. The reported injuries included injuries from motor vehicle accidents (61%), musculoskeletal injuries (16.7%), needle-stick injuries (13.9%), accidental surgical blade cuts (5.6%) and assault injuries (2.8%). A total of 152 survey questionnaires were completed and returned – a 45% response rate. The findings from the selfadministered questionnaire revealed 25 (16.5%) unreported injuries which included musculoskeletal injuries (48%, n = 12), needle-stick injuries (48%, n = 12), and one (1) (4%) assault-related injuries. A further 49 (32.2%) injuries which had resulted in medical attention being sought included musculoskeletal injuries (55.1%, n = 27), injuries due to motor vehicle accidents (44.9%, n = 22), needle-stick injuries (26.5%, n = 13) and assault-related injuries (8.2%, n = 4). Overall, 59 (38.8%) paramedics had experienced occupational injuries (both reported and unreported). The paramedics’ perceived risk factors for occupational injuries included high speed driving (87.5%, n = 133), violent members of society (87.5%, n = 133), heavy objects and patient lifting (86.2%, n = 131), physical exhaustion (78.3%, n = 119), hazardous material (77%, n = 117), and temperature extremes (73%, n = 111). In addition, the paramedics’ perceptions regarding occupational injury prevention revealed the following precautions, namely, avoiding high speed driving (79.6%, n = 121), specific positioning during equipment and patient lifting (63.8%, n = 97), avoiding chaotic scenes (61.8%, n = 94) and avoiding working longer hours (49.3%, n = 75). Conclusion: While it may be anticipated that information regarding occupational injuries suffered by paramedics would not be public knowledge, access to this information for purposes of research that aim to establish mitigation and prevention strategies, should be subjected to fewer challenges. From the data that was available, paramedics from KZN EMRS experienced multiple types of occupational injuries from a variety of injury sources. These injuries could be a result of both, the nature of the work and environment in which paramedics operate. However, further research is necessary to identify and validate these findings, as well as presented strategies required to minimise the rates of occupational injury among paramedics working for KZN EMRS.

Introduction: The mining industry is known to have a high incidence rate of fatal injuries hence, the knowledge of the risk factors of injury is important. The risk factors of occupational injury are important in the interplay between work and health, and the knowledge of the risk factors can be used in planning preventive measures. The study was done to determine the risk factors for occupational injuries among solid mineral miners. Methods: This was a descriptive cross-sectional study. Consenting staff completed the pretested self-administered questionnaire. Data were analyzed using descriptive and inferential statistics and p ≤ 0.05 was considered significant. Results: A total of 120 workers were recruited with 109 (90.8%) males and 11 (9.2%) females leading the male to female ratio of 9.9:1. The age range was 18-48 years with a mean of 28.9 (5.8) years. More than one-third (35.0%) had a tertiary level of education. Seventy-two (60.0%) had good knowledge of the occupational injury, and it was associated with the level of education (p<0.001) and occupational injury (p<0.001). About 60.8% have had an occupational injury while inhalational injury (30.0%) was the highest type of injury. Hands (34.5%) were the most affected part of the body even though hand gloves (85.8%) were the most common personal protective equipment used. The factors associated with an occupational injury were age, length of services and job tasks. The predictor of occupational injury was the length of service. Conclusion: The respondents had good knowledge of the occupational injury and the major risk factors of occupational injury were the length of services, job tasks and age of respondents of this study.

Do No Harm, Except to Ourselves? A Survey of Symptoms and Injuries in Oncologic Surgeons and Pilot Study of an Intraoperative Ergonomic Intervention

Objectives The objectives of this study were to (i) identify transient risk factors of occupational injuries and (ii) determine if the risk varies with age, injury severity, job task, and industry risk level. Method A case-crossover design was used to examine the effect of seven specific transient risk factors (time pressure, disagreement with someone, feeling sick, being distracted by someone, non-routine task, altered surroundings, and broken machinery and materials) for occupational injuries. In the study, 1693 patients with occupational injuries were recruited from a total of 4002 occupational injuries seen in 2013 at two emergency departments in Denmark. Effect estimates were calculated using the matched-pair interval approach. Results Increased risk for an occupational injury was found for time pressure [odds ratio (OR) 1.6, 95% confidence interval (95% CI) 1.3-2.0], feeling sick (OR 2.7, 95% CI 1.9-3.9), being distracted by someone (OR 3.1, 95% CI 2.3-4.1), non-routine task (OR 8.2, 95% CI 5.3-12.5), altered surroundings (OR 20.9, 95% CI 12.2-35.8), and broken machinery or materials (OR 20.6, 95% CI 13.5-31.7). The risk of occupational injury did not vary substantially in relation to sex, age, job task, industry risk level, or injury severity. Conclusion Use of a case-crossover design identified several worker-related transient risk factors (time pressure, feeling sick, being distracted by someone) that led to significantly increased risks for occupational injuries. In particular, equipment (broken machinery or materials) and work-practice-related factors (non-routine task and altered surroundings) increased the risk of an occupational injury. Elaboration of results in relation to hazard period and information bias is warranted.

Background. A national database of work related injuries was established in Italy since 2002, collecting information on the injured person, his/her work tasks, the workplace as well as risk factors contributing to accident dynamics, according to a model called Infor.Mo. Methods. The present is a qualitative description of occupational fatal injuries, excluding work-related fatal traffic injuries, that occurred in Italy from 2002 to 2016 (15 years). Results. Among 4,874 victims involved, all were males, mainly of >51 years of age (50.5%), predominantly self-employed (27.8%) or workers with non-standard contracts (25%). About 18.4% and 17.3% of fatal accidents occurred in micro-enterprises belonging to, respectively, Construction and Agriculture. A wide range of nationalities (59 countries in addition to Italy) was identified. 18.9% work related fatal injuries were due to some form of dangerous energy ‒ mechanical, thermal, electrical, chemical ‒ freely present in the workplace. Workers’ falls from height (33.5%), heavy bodies falling on workers from height (16.7%) and vehicles exiting their route and overturning (15.9%) were the accidents causing the greatest proportion of occupational fatal injuries either in the present study (from 2002 to 2016) and in the initial pilot phase, focused on years 2002-2004, with a similar distribution between the latter two time periods. The activity of the injured person made up 43.3% of 9,386 risk factors identified in 4,874 fatalities. Less common risk factors were related to: work equipment (20.2%); work environment (14.9%); third parties’ activity (9.8%); personal protective equipment/clothing (8.0%) and materials (3.7%). The activity of the injured person remained the most relevant contributing factor even when the accident was caused by two or more risk factors. Discussion. Occupational fatal injuries occurred mainly in small size firms featured by deteriorated workplaces and undocumented workers. Small companies generally have less resources to catch up with the continuously evolving health and safety at work regulations; moreover, they tend to be less compliant with occupational health and safety regulations since are less likely to be inspected by occupational vigilance services. As a result, the enforcement of regulations to control the occupational risk factors of occupational injuries is seemingly costly and scarcely effective. Perspectives. An approach that is being introduced in Italy rely on the use of economic incentives to promote safe and healthy workplaces. Randomization of firms to intervention companies and “waiting list” controls could allow an unbiased evaluation of financial incentives to prevent work related injuries.

67 The prevalence of occupational injuries among saudi red crescent pre-hospital care providers in jeddah, saudi arabia, 2018

<i>Background</i>: Occupational injury is an unintentional personal physical injury resulting from occupational accidents. It is a major public health problem resulting in serious social and economic consequences that could potentially be prevented. However, evidence on occupational physical injury among automotive industry workers in the country; particularly in the study area was scanty. Hence, this study was aimed to assess the prevalence of occupational physical injuries and associated factors among workers of the Bishoftu automotive industry, Bishoftu, Ethiopia. <i>Methods</i>: Institutional-based cross-sectional study design was employed to assess the prevalence of occupational physical injury among workers of the Bishoftu automotive industry from December 15 to 30, 2019. Data was collected from 477 randomly selected participants and analyzed using Statistical Package for Social Sciences version 25. Multi-variable logistic regression analysis was performed to identify predictors of occupational injuries and all variables with P-value at<0.05 and an Adjusted Odds Ratio (AOR) with 95% CI were used to declare the predictors of the outcome variable. <i>Results</i>: The prevalence of occupational physical injury among Bishoftu automotive industry workers within the last 12 months was 29.4% (95% CI: 25.2, 33.9). Abrasion 50 (39%), cut 34 (26.6%) and puncture 19 (14.8%) were the most common types of injuries; and of which hands 54 (42.2%), head 22 (17.2%), legs 20 (15.6%) and eyes 19 (14.8%) were the most commonly affected body parts. Workers with low monthly income [AOR: 3.03, 95% CI (1.25, 7.36)], sleeping disorders during working time [AOR: 5.40, 95% CI (2.30 – 9.40)], without Personal Protective Equipment (PPE) during working time [AOR: 14, 95% CI (7.71, 25.63)] and working greater than forty-eight hours per week [AOR: 2.40, 95% CI (1.40, 7.14)] were factors significantly associated with occupational injury. <i>Conclusion</i>: Low monthly income, sleeping disorders, not using PPE and engaging in work for greater than forty-eight hours were major predictors of occupational injury. Hence, decision makers, policy designers, implementers, and managers of an industry should have to give due attention toward effective implementation of injury prevention policies, regulations and strategies; provision of adequate and quality PPEs and effective utilization of PPE is needed.

Preventive interventions to reduce occupational injuries and diseases among farmers require an appraisal of the relative importance of the various risk factors. This paper describes the results of a cross-sectional study investigating determinants of occupational health and injuries among 510 Belgian farmers, looking at health-related behaviors (machinery use, animal handling, fall prevention, and pesticide use), as well as nonbehavioral risk factors (demographic characteristics, farm characteristics, and participation in safety training). Education level and number of employees on the farm were identified as nonbehavioral risk factors for injuries, with highly educated farmers and working with one employee associated with a higher injury risk. In contrast, none of the nonbehavioral factors were related to occupational disease. Unsafe machinery use, animal handling, fall prevention, and pesticide use were behavioral risk factors for injuries, with unsafe pesticide use representing the highest risk. Unsafe machinery and pesticide use were also risks for disease. Significant differences in self-reported behavior were found for gender, age, number of employees, and the interaction between age and education. The study highlights the importance of behavioral factors as determinants of occupational injuries and diseases among farmers, and suggests that tailored preventive interventions should be developed to accommodate for differences in these behaviors among subgroups of farmers.

Evaluation of the effectiveness of occupational injury prevention programs at the company level

This study was performed to evaluate occupational and fall injuries presenting to the ED, the risk factors associated with falls among all occupational injuries, and factors affecting prognosis. Data from ED-based Occupational Injury Surveillance System were analysed to investigate the occupational injuries. The 2147 occupational injury subjects were divided into two groups: fall (n = 213, 9.9%) and non-fall (n = 1934, 90.1%). Data including baseline and clinical characteristics were compared between the groups. The mean age was older in the fall group (46 vs 42 years old). The rate of construction site-related injury was 32% in the fall group and only 8% in the non-fall group. Injury occurrence during regular working hours (09.00 hours to 18.00 hours) was 70% in the fall group and 57% in the non-fall group. Injury severity using the Excess Mortality Ratio-adjusted Injury Severity Score (EMR-ISS) was more severe in the fall group than in the non-fall group, and days away from work were longer in the fall group than the non-fall group. Older age, compared with an age <29 years old and presence in a construction area during regular working hours were factors associated with fall injuries. Factors affecting prolonged absence for work were older age, higher EMR-ISS, fall injury and poor workplace environmental conditions. Risk factors associated with fall-related occupational injuries include older age and being at a construction area during regular working hours. Falls among occupational injuries are more severe than other injuries and result in longer work loss.

Introduction Occupational injuries are occurrences arising out of, or in the course of, work which results in a fatal or nonfatal injury, e.g., a fall from a height or contact with moving machines. They pose psychological, behavioral, social, vocational, and economic problems. No previous studies have been conducted on the prevalence and associated risk factors of occupational injuries among workers in Bahir Dar Textile Share Company (SC). Therefore, this study aimed to assess the prevalence and associated risk factors of occupational injury in Bahir Dar Textile SC, Northwest Ethiopia. Methods A cross-sectional study was conducted among employees of Bahir Dar Textile SC in 2019. Three hundred (195 males and 105 females) employees were selected using proportional simple random sampling from the spinning, weaving, finishing, engineering, and administration sections. Results The one-year and the two-week occupational injury prevalences were 42.7% and 6.7%, respectively. The one-year report from all the respondents shows that abrasion (10.7%) and eye injury (7.7%) were the two top injuries, hands (12.7%) and eyes (7.7%) were the top injured body parts, and machines (22.7%) and falling/slipping (6.3%) caused most injuries. Statistically significant differences in injuries (p < 0.05) were observed due to variations in gender, job category, exposure to vibration, exposure to rays/welding sparks, and labor-intensive work. The weaving section was positively associated with occupational injuries at AOR = 4.497 and p=0.05. Conclusions Occupational injuries prevalence is high over the last year. The major causes of injuries were machines and falling/slipping, while the major injuries were abrasions, eye injuries, sprains, and burns. The factors significantly associated with occupational injuries were male gender, job category, use of vibrating tools, high intensive work, and rays/welding sparks. Occupational safety and health training, use of personal protective equipment (PPE), and shifting employees from intensive works are recommended.

BackgroundAlthough the number of child laborers in Latin America is generally high, data on occupational hazards and injuries is insufficient. The objective of this study was therefore to determine the lifetime prevalence of and risk factors for occupational injuries among working students (10–17 years old) in Cusco Province.MethodsA cross-sectional study was conducted at five public night schools. 375 students (response 91.5%) completed an interview-based questionnaire on socio-demographics, work-related factors, and lifetime prevalence of occupational injuries. Multiple logistic regression analyses were performed to estimate risk factors for different types and causes of occupational injuries.ResultsFalls (11%), car accidents (9%) and physical violence (3%) were common causes of injuries in this population. Severe injuries (fractures, luxation or amputations) were reported by 3% of the population. A high daily income (≥20 PEN, ~15 USD) was a statistically significant predictor for injuries caused by falls [OR 2.8; 95% CI 1.2-6.5] and physical violence at work [12.1; 1.3-115.9] whereas children born in Cusco and those working in the service sector were at higher risk of injuries caused by car accidents [3.7; 1.5-9.3 and 4.2; 1.2-15.3].ConclusionsOccupational accidents among child workers attending public night schools are common in Cusco with a lifetime prevalence of 3% for severe injuries. High income seems to convince child laborers to accept poor working conditions.

Occupational injury is a serious global public health issue that causes morbidity, disability, and fatality at work. The food and beverage processing business has the most significant rate of occupational injuries, making it the most dangerous occupation among industrial industries. Various labor hazards have been reported to beverage workers. Against this background, the objective of the research was to assess the magnitude and predictors of occupational injury among employees in the beverage industry in Harar and Addis Ababa, Ethiopia. A cross-sectional descriptive study was conducted at a beverage factory, with 675 respondents chosen randomly. Qualitative data was collected through interviews with key informants. The data was analyzed using Epi-Data statistical software and SPSS. Multiple logistic analysis, descriptive analysis, binary logistic, and crude logistic regression analysis were used. A p-value of less than 0.05 was considered statistically significant. The occupational injury rate is 20.9%, with fingers and hands being the most common type of trauma. Sleeping difficulties, contract employment status, and technical field work are associated with injuries. 28-34-year-olds are 55% less likely, and one year of experience is 85% less likely. Challenges include inconsistent safety measures and a lack of organizational commitment, especially for contract workers. The prevalence of occupational injuries among beverage industry employees was high. Technical departments, contract employment, and the prevalence of sleeping problems were revealed to be risk factors for occupational injuries. At the same time, one year of experience and the age range of 28–34 were found to be protective. Among the study participants, difficulties such as poor use of personal protective equipment and a lack of a consistent supply of personal protective equipment were noticed. As a result, firms must increase occupational safety measures, such as providing and replenishing personal protective equipment, focusing on contract employees.

BackgroundSome sleep disorders are known risk factors for occupational injuries (OIs). This study aimed to compare the prevalence of obstructive sleep apnea syndrome (OSAS) in a population of patients with OIs admitted to the emergency room (ER) with hospital outpatients as controls.MethodsSeventy-nine patients with OIs and 56 controls were recruited at the University Hospital of Basel, Switzerland between 2009 and 2011. All patients completed a questionnaire and underwent a full-night attended polysomnography (PSG). We considered an apnea–hypopnea index (AHI) > 5 as an abnormal finding suggestive of a diagnosis of OSAS.ResultsPatients with OIs did not differ from controls regarding sex, age, body mass index, and job risk of OI. Patients with OIs tended to have an abnormal AHI (n = 38 [48%] vs. n = 16 [29%], odds ratio [OR] = 2.32 [95% confidence interval (CI):1.05–5.13]), and a higher AHI (8.0 vs. 5.6 events/h; Cohen’s d 0.28, p = 0.028) compared with controls. Patients with OIs also had abnormal limb movement index, arousal index, and signs of sleep bruxism compared with controls. Compared with 36 controls (66%), 70 patients with OIs (89%) had either excessive daytime sleepiness (EDS), and/or an abnormal finding during PSG (OR = 4.32, 95% CI:1.65–11.52). However, patients with OIs did not differ from controls regarding EDS or oxygen desaturation index.ConclusionsPatients treated in the ER for OI had more abnormal findings suggestive of OSAS or other sleep disorders compared with a control group of hospital outpatients. Screening for these conditions should be part of the postaccident medical investigation.

Background Olive gathering involves tree climbing, carrying heavy loads, navigating rough terrain, and using sharp tools. However, little is known about occupational injuries among olive workers. The aim of this study is to evaluate the prevalence and risk factors of occupational injuries among olive workers in a rural Greek area and to assess the financial burden on the health system and insurance funds. Methods A questionnaire was administered to 166 olive workers in the Aigialeia municipality in the Achaia region, Greece. The questionnaire contained detailed information on demographic characteristics, medical history, working environment, protective measures, gathering tools, and type and site of injuries. Moreover, data were recorded about the duration of hospitalization, medical examinations and treatment received, sick leaves, complications, and rate of re-injury. Direct economic costs were calculated for hospitalized and non-hospitalized patients. The associations between olive workers' characteristics, risk factors, and occupational injury within the last year were examined using log-binomial regression models. Results In total, 85 injuries were recorded in 50 workers. The prevalence of one or more injuries in the last year was 30.1%. Factors associated with a higher rate of injury were male gender, age > 50 years, working experience > 24 years, history of arterial hypertension and diabetes mellitus, climbing habits, and non-use of protective gloves. The average cost of agricultural injuries was more than 1400 € per injury. The cost seems to be associated with the severity of the injury, as injuries requiring hospitalization were associated with increased costs, higher cost of medication, as well as more days of sick leave. Losses due to sick leave cause the greatest financial costs. Conclusions Farm-related injuries are quite usual among olive workers in Greece. Injury risk is influenced by gender, age, working experience, medical history, climbing habits, and use of protective gloves. Days off work have the greatest financial cost. These findings can be useful as a starting point to train olive workers to reduce the incidence of farm-related injuries in Greece. Knowledge of risk factors for farm-related injuries and diseases could help the development of proper interventions to minimize the problem.