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Logistic regression model for fatal occupational injuries (deaths) versus non-fatal occupational injuries (with temporary disability and without sequels, or without disability) among workers in the IMSS in 2012.
Source publication
To identify the factors associated with fatal occupational injuries in Mexico in 2012 among workers affiliated with the Mexican Social Security Institute.
Analysis of secondary data using information from the National Occupational Risk Information System, with the consequence of the occupational injury (fatal versus non-fatal) as the response varia...
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... A research on the job injuries in Korea between 2001 and 2010, illustrated that non-fatal occupational injuries have been higher in the manufacturing sector while the fatal occupational injuries was higher in the construction sector (Agh, 2014;Trgovcevic, 2014). Deaths from diseases and occupational injuries in all countries has exceeded not only the rate of mortality from common illnesses and AIDS, but also incurs high economic, social and family costs equivalent to 4% decrease of GDP and 2.8 million USD for direct and indirect costs of disease worldwide (Gonzalez-Delgado, 2015). High-risk factors of depression are repeated accidents in life, stress, weak social support, and also lower socio -economic ability (Shaku, 2015). ...
With the development of science and technology, occupational accidents, as one of the most important problems in the world, result in negative effects on physical and psychological health, and also the quality of life of workers. The aim of this study was to compare the quality of life among workers with and without accident. In a cross-sectional study, 93 workers were selected, 31 who experienced accident and 62 as control group. To gather the data, a researcher-made questionnaire for demographic characteristics and the quality of life questionnaire (SF-36) were used. Mann-Whitney and Chi-square tests were used for data analysis. The mean and standard deviation of age was 30.81±7.29 and 30.56±7.19 in workers with accident (case group) and control group, respectively. Homogeneity was ensured in terms of age and work experience and the two groups had no significant difference in this regard (p>0.05). Most of the participants were high school graduates (67.7%). The majority of accidents (68.8%) had occurred in the manufacturing sections. The most common accident type was sprayed chemical substances (19.4%) and the less frequent was electrocution (3.2%). The mean total score for the quality of life was 37.61±14.29 and 74.92±12.95 in the case and control groups with a statistical significance difference (p<0.001). The results of this study indicate that the incident could affect the quality of life of workers. Therefore, promoting the safety culture can help to reduce the occupational accidents.
... The volume of work-related fatalities and occupational diseases varies significantly between occupational sectors. The primary and secondary sectors, defined by intrinsic dangers, usually have a greater incidence of deaths and occupational diseases than sectors with largely office-based work [7][8][9][10][11][12]. This persistence of fatalities at work has many probable causes, such as the diversity of work environments, the role of human error, economic pressures, globalization, technological changes, inconsistent enforcement of safety regulations, emerging risks, and evolving workforce demographics [11,[13][14][15]. ...
... The primary and secondary sectors, defined by intrinsic dangers, usually have a greater incidence of deaths and occupational diseases than sectors with largely office-based work [7][8][9][10][11][12]. This persistence of fatalities at work has many probable causes, such as the diversity of work environments, the role of human error, economic pressures, globalization, technological changes, inconsistent enforcement of safety regulations, emerging risks, and evolving workforce demographics [11,[13][14][15]. ...
... Therefore, we could approximate an estimated average risk (as the number of fatal cases per year in each sector) of 19/1,000,000 fatal accidents in the primary sector, 27/10 6 fatal accidents in the secondary sector, and 2.3/10 6 fatal accidents in the tertiary sector. The increased incidence of fatal accidents occurring in the secondary sector is a common finding in literature in Italy [21,22], and worldwide [11,14,23,27]. This, once again, underscores the inherent dangers fatal accident types. ...
Background:
Work-related fatalities represent an important global public health threat, accounting for over 300,000 deaths annually. Despite preventive strategies, fatalities persist, necessitating comprehensive investigations. Autoptic investigations, when ordered, offer comprehensive data on fatal accidents, in particular with detailed information about the type of accident, lesions, and type of work, enabling a thorough analysis of various factors contributing to workplace deaths. This study investigates work-related fatalities in Milan and Monza Brianza, Lombardy, analyzing patterns, industries, and factors leading to death among workers.
Methods:
This retrospective study analyzed all fatal work accident data from the Autopsy Database of the Legal Medicine Institute of Milan from January 2000 to December 2022. We also estimated the risk of fatal accidents per 1.00.000 workers using ISTAT data for the different work sectors.
Results:
Of the 17,841 violent deaths in Milan and Monza Brianza, 308 resulted from work-related accidents. The majority were male (95.1%). The secondary sector showed the higher estimated risk (27 /106 vs. 19/106 in primary and 2.3/106 in tertiary sector) accounted for 78.5% of fatalities, with specialized workers (35.1%) and construction workers (25%) being the most affected. Falls from above were the leading cause of death (36.7%). A decreasing trend in fatal accidents over the study period was observed, with July having the greatest frequency. The most common causes of death were polytrauma (36.4%) and head injuries (19.2%). Non-Italian workers constitute a noteworthy percentage of fatal cases (24%).
Conclusions:
The secondary sector has the most fatal accidents at work despite a decrease in accidents over the observed time period. There is a need for rigorous analysis and interventions, using forensic autopsy case data to help understand causes, and collaboration between institutions is encouraged to develop effective preventive policies.
... OSH has emerged as a significant concern in human resource management due to the prevalence of construction accidents and their implications for workers, companies, and societies (Sánchez, Peláez, and Alís, 2017Addressing OSH concerns is crucial for preserving worker health, saving costs and adding value to infrastructure projects (Gonzalez-Delgado et al., 2015). Achieving zero workplace accidents is a challenging but essential goal, with OSH contributing to production efficiency in the construction industry (Chellappa et al., 2021). ...
Ensuring occupational safety and health (OSH) is paramount in infrastructure projects due to their inherently high-risk nature and the increased likelihood of accidents. Despite its importance, numerous obstacles impede the successful adoption of OSH measures in these settings. Addressing these challenges is key to not only implementing OSH protocols effectively but also to improving working conditions and managing other operational facets like quality and environmental concerns, ultimately resulting in better infrastructure developments. Adopting proactive OSH strategies is crucial for preventing significant accidents and fostering a safety culture within infrastructure projects. This review focuses on identifying the primary obstacles and barriers to effective OSH in infrastructure projects, laying the groundwork for improving safety performance in the sector. It highlights organizational and legislative issues as the foremost challenges due to their direct impact on safety culture, resource distribution, compliance, and accountability. Although factors related to environmental and safety practices are deemed less critical, they are nonetheless vital for comprehensive risk management and the promotion of a safe working environment. Tackling these issues is imperative for cultivating a strong safety culture and safeguarding the health of workers on infrastructure projects. It is also essential to acknowledge the distinct OSH challenges presented by different construction scenarios to devise customized safety measures and effectively reduce risks. This review emphasizes the necessity of recognizing the unique aspects of each construction project, addressing specific dangers, and meeting regulatory demands to achieve thorough safety management.
... Chart. Organization of occupations according to the occupational composition of Pastore and Silva 19 in relation to the major occupational groups and subgroups of the Classification of Occupations for Household Surveys (COD) of the Brazilian Institute of Geography and Statistics (IBGE) 18 . ...
... It Chart. Organization of occupations according to the occupational composition of Pastore and Silva 19 in relation to the major occupational groups and subgroups of the Classification of Occupations for Household Surveys (COD) of the Brazilian Institute of Geography and Statistics (IBGE)18 . Continuation ...
OBJECTIVE
To analyze the distribution and association of sociodemographic and occupational factors with self-reported work accidents (WA) in a representative sample of the Brazilian population, with emphasis on occupational class, and to examine gender differences in this distribution.
METHODS
A population-based cross-sectional study, using data from the 2019 National Health Survey (PNS), analyzed the responses of a sample of adults aged 18 or over. Factors associated with WA were investigated using binary logistic regression and hierarchical analysis using blocks (sociodemographic and occupational variables). The final model was adjusted by variables from all blocks, adopting a significance level of 5%. The values of odds ratios (OR) and respective confidence intervals were obtained.
RESULTS
Among the participants, 2.69% reported having suffered a WA, with a higher prevalence in men (3.37%; 95%CI 2.97–3.82%) than in women (1.86%; 95%CI 1.55–2.23%). The analysis identified that age group, night work, working hours, and exposure to occupational risks were associated with WA, with emphasis on gender differences. The class of manual workers, both qualified (ORwomen = 2.87; 95%CI 1.33–6.21 and ORmen = 2.46; 95%CI 1.37–4.40) and unskilled (ORwomen = 2.55; 95%CI 1.44–4.50 and ORmen = 3.70; 95%CI 1.95–7.03), had a higher chance of WA than the class of managers/professionals.
CONCLUSION
Occupational factors contributed significantly to the increase in the probability of WA for men and women, with greater magnitude among those positioned in the lower strata of the occupational structure. The results obtained are clues for working out WA prevention actions.
Accidents, Occupational; Gender; Sociodemographic Factors; Risk Factors; Health Surveys
... Results outside of their own duties (1%), not adhering to work discipline (1%), and being tired and lacking sleep (1%). (Gonzalez-Delgado et al., 2015) Factors involved in occupational accidents included male gender (OR=5.86, 95% CI=4.22-8.14), ...
... The second individual factor is age, where age has a significant correlation with the incidence of occupational accidents in construction, indicated by a p-value of <0.001 (Biabani et al., 2020) and the OR value is 1.04 with 95% CI=1.03-1.06 (Gonzalez-Delgado et al., 2015). There are several studies which state that there is an influence of age, whether younger or older, in relation to the incidence of occupational accidents. ...
... 95% CI=1.15-1.63) (Gonzalez-Delgado et al., 2015) have a significant correlation with occupational accidents due to experience and a short work period. Therefore, we can conclud that the higher the work experience and the longer the work period, the smaller the risk of occupational accidents occurring at construction sites. ...
The construction sector is one of the industries that has a high risk of occupational accidents. Therefore, preventing accidents from occurring is crucial, one of which is by identifying the factors caused. The present study aims to review articles published in the last 10 years to identify and analyze factors related to the incidence of occupational accidents in the construction sector. A systematic search method was conducted until December 2023 on the following databases: Scopus, ScienceDirect, and Google Scholar. A total of twenty-three articles were included in this review with all articles being original research and discussing factors that contribute to occupational accidents in the construction sector. Our findings show that there are several factors influencing an increase in occupational accidents, namely individual factors, including male gender, younger age, lack of work experience, not long working period, being married, poor level of work safety knowledge, absence of occupational safety training, low level of education, and job dissatisfaction; unsafe action factors, including not using personal protective equipment (PPE) or using inappropriate PPE, not following work safety regulations, applying inappropriate standard operational procedures (SOPs), and fatigue; unsafe condition factors, including the absence of occupational safety and health (OS&H) supervision and inappropriate installation of safety signs; environmental factors, including thermal stress, interference, smooth surfaces, work platform height, and extreme temperature changes during summer and winter; psychological and occupational stress factors, including high time pressure, high workload, poor work schedule, and violence and bullying perpetrated by co-workers or supervisors; and defective equipment factors. In conclusion, individual, unsafe actions, unsafe conditions, environmental, psychological and occupational stress, and defective equipment factors have a significant influence on occupational accidents at construction sites.
... A study done in Mexico to identify the factors associated with fatal occupational injuries among workers affiliated with the Mexican Social Security Institute indicated that sex, age, work experience, and workplace condition have associations with occupational injury (Gonzalez-Delgado et al., 2015). This is similar to the national survey done in Germany, which indicated that factors like age, sex, work characteristics, and length of working hours have an association with occupational injury (Rommel et al., 2016). ...
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.
... Benavides et al. (2005) analyzed the annual occupational accident data of Austria, Finland, France, Spain and Sweden and found that the occupational accident rates of these countries have decreased. González-Delgado et al. (2015), in their study in Mexico, found a link between demographic characteristics, working environment and workplace conditions. Lilley et al. (2020) found high mortality rates among male workers aged 70-84 years in their study. ...
Occupational accidents and death cases resulting from occupational accidents are among the most critical factors threatening work peace. Occupational accidents cause injury, disability and even death for many employees. In 2021, 1394 employees died due to occupational accidents in Turkey, while 3123 became permanently incapacitated, that is, disabled for life. In addition, tens of thousands of employees were injured in occupational accidents, resulting in temporary incapacitation and exposing them and their families to emotional distress. The fact that occupational accidents are preventable events to a large extent makes the incidents caused by occupational accidents, such as death, loss of limb, and severe injury due to occupational accidents, even more tragic. Especially multiple-fatality occupational accidents are accepted as an indicator of the importance countries place on human life. Human life is above any economic value. Turkey is the country with the worst performance in Europe in terms of fatal occupational accident incidence rates. For all these reasons, in this study, fatal occupational accidents in Turkey in 2012-2022 were analyzed with the Health and Safety Labour Watch-Turkey (HESA Labour Watch) data. In addition, Social Security Institution (SSI) data for 2012-2021 was compared with the HESA Labour Watch data, and it was examined whether fatal occupational accidents were officially recorded. Finally, using official SSI data, Turkey and EU-27 countries were compared regarding the number of death cases resulting from occupational accidents and fatal occupational accident incidence rates. The study revealed the following results; Some of the fatal occupational accidents cannot be recorded in Turkey, After the OSH law, the number of death cases as a result of occupational accidents increased, compared to the EU-27 countries, Turkey has the worst performance in terms of both the number of death cases as a result of occupational accidents and the fatal accidents incidence rate.
... Secondly in step 2, a logistic regression analysis [75][76][77] was used to develop a predictive model of fatal occupational accidents. Logistic regression analysis has been successfully applied in several studies to develop a predictive model for fatal accidents [42,43,59,[78][79][80][81]. This logistic regression model allows us to estimate the probability of a fatal occupational accident (dependent variable) from a given data set for the independent variables. ...
Accidents at work are a problem in today’s economic structures, but if they result in the loss of
human lives, the economic and social cost is even higher. The development of prevention policies,
both at governmental and sectoral level, has led to a progressive reduction of occupational accidents,
but number of fatal accidents remain high. The aim of this study is to explore the evolution
of fatal accidents at work in Spain for the period 2009–2021, analyse the relationship
between the main variables, and propose a predictive model of fatal occupational accidents in
Spain. Data for this study are collected from occupational accident reports via the Delt@ (Electronic
declaration of injured workers) IT system. The study variables were classified into five
groups: temporal, personal, business, circumstances, and consequences. Fatal accidents at work
are more common in males and in older workers, especially in workers between 40 and 59 years
old. Companies with less than five workers have the highest percentage of fatal accidents, and the
transport subsector and that the worker is carrying out his/her usual work have a strong correlation
in the fatal accidents. Results can help to the agents involved in the health and safety
management to develop preventive measures, and action plans.
... As causas mais comuns dos acidentes de trabalho incluem mudanças con� nuas no projeto de construção, locais de trabalho repletos de pessoas e materiais, condições de trabalho inadequadas, trabalho não con� nuo ou sazonal, manuseio de materiais, exposição direta a riscos de queda, escorregamento, colisão, exposição a produtos químicos, choque elétrico e abrasão (Cameron et al. 2007;Grant, 2014). Gonzalez-Delgado et al. (2015) relata que para evitar acidentes de trabalho, algumas medidas são recomendadas, dentre elas: avaliação da concepção de medidas de segurança, da eliminação ou subs� tuição de riscos, de técnicas e medidas relacionadas à organização do trabalho e da implementação de uma gestão de riscos para proteger os trabalhadores no local de trabalho. ...
Destaques: Os danos à saúde dos trabalhadores resultantes de acidentes de trabalho decorrem da presença de fatores de risco no ambiente laboral. A gestão de riscos de acidentes de trabalho tem por objetivo evitar as perdas provocadas por estes fatores. O conhecimento produzido nas últimas décadas sobre a prevenção vem desafiando os profissionais a repensar os modelos de gestão. As produções científicas que empregam métodos quantitativos na análise de dados auxiliam na identificação de estratégias a serem adotadas pelas organizações. Objetivo: Identificar o emprego dos principais métodos quantitativos em pesquisas científicas internacionais sobre a gestão de riscos de acidentes de trabalho. Desenho/Metodologia/Abordagem: Trata-se de um estudo descritivo com abordagem quantitativa, e busca agregar conhecimento a respeito do tema por meio da pesquisa bibliométrica acerca de artigos publicados durante o período de 2010 e 2019 nas bases de dados Scopus, Science Direct, Web of Science e Engineered Research. A estatística descritiva foi usada para análise dos dados, especificamente a frequência absoluta e relativa. Resultados: Os resultados mostram que a maior parte das publicações utiliza as técnicas de estatística descritiva e análise de confiabilidade, nomeadamente o Alfa de Crombach. As pesquisas estão de acordo com os conceitos da Lei de Breadford, pois foram encontrados muitos periódicos que produzem poucos artigos científicos sobre o tema específico. Para suporte dos métodos quantitativos, os resultados apontam a recorrência da utilização de artigos científicos como referencial teórico, ao invés do pesquisado em literatura, que explora em livros. Limitações da investigação: O portfólio bibliográfico investigou artigos publicados nas quatro (4) bases de dados selecionadas entre 2010 e 2019. Refere-se apenas a uma parte da produção internacional sobre o tema, assim, os resultados encontrados não podem ser generalizados. Implicações práticas: Em termos práticos, os resultados deste estudo podem ajudar a identificar as características da produção científica sobre o tema, produzir conhecimento, contribuir para a formação de redes de autores que se interessam e pesquisam sobre o assunto, além de direcionar novos estudos e dar suporte a decisões metodológicas de novas pesquisas. Originalidade/valor: Poucas pesquisas científicas sobre gestão de riscos de acidentes de trabalho analisam amplamente a produção internacional com destaque no emprego dos métodos quantitativos nas análises de dados. Palavras-Chave: Métodos quantitativos; Gestão de riscos; Acidentes de trabalho; Pesquisa bibliométrica.
... Under these circumstances, integrating some alternative techniques and pre-processing (i.e., handling missing values, choosing and encoding variables, splitting the dataset, etc.) tasks that transform the data into a consistent, complete, and valid format before it is used [23] to address and handle these problems mentioned is necessary to obtain high-quality and accurate prediction results. For these reasons, in recent years, regularized prediction models as alternative solution approaches have been widely used and successfully applied in order to address imbalanced and multicollinearity challenges in literature [24], [26][27][28]. ...
... Gavanji [24] analyzed occupational injury data from the year 2007 to 2016 using Firth, Lasso, Elastic Net logistic regression models to predict fatal injury claims. Gonzalez-Delgado [26] studied occupational injuries that occurred in 2012 to predict the accident outcome (fatal/non-fatal) using Firth's logistic regression model. Gallego et al. [28] examined accident data between 1995 and 2017 to predict frequency rate, lost workdays, and severity rate in terms of the labour market, economy and productive structure-related variables using Lasso, Elastic Net and Adaptive Lasso linear regression models. ...
Occupational accidents in the construction industry occur frequently when compared with other industries. Construction accidents still cannot be prevented at the desired level. These accidents have been explored for prediction purposes using traditional statistical and machine-learning techniques. However, some challenges regarding imbalanced and multicollinearity problems present in the dataset are not considered while analyzing large and categorical variable-rich data. For this reason, this study aims to predict the severity of non-fatal construction accidents considering these challenges to obtain accurate results. In this study, standard binary logistic regression with Firth, Ridge, Lasso, and Elastic Net regularized models were utilized for the prediction of lost workdays in the construction industry. The data used were classified into five groups: victim, workplace, accident time, accident and sequence of events, and post-accident state-related variables. The results showed that Firth’s logistic model is the best-performing model and age, education, vocational education, size of the workplace, project type, working environment, accident month and year, general and specific activities, material agent of deviation, type of injury, and part of body injured are the most significant variables. This study by providing interpretable machine learning tools is the first attempt to use proposed models in the construction safety field.
