Working conditions and risk exposure of employees whose occupations require driving on public roads – Factorial analysis and classification

Fort, Emmanuel; Gadegbeku, Blandine; Gat, Elodie; Pélissier, Carole; Hours, Martine; Charbotel, Barbara

doi:10.1016/j.aap.2019.07.001

Cited by 11 publications

(7 citation statements)

References 25 publications

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“…This is possible as long as workers use it correctly during their activities because, in many cases, this personal protective equipment can also constrain perceptions and workers’ activities [ 44 ]. Atypical working hours appear to be a specific feature of the transport and storage, and human health and social work sectors [ 45 ]. Atypical working hours are the result of the requirements of some sectors in relation to the activities carried out.…”

Section: Discussionmentioning

confidence: 99%

Occupational Risk Factors by Sectors: An Observational Study of 20,000 Workers

Dogbla

Gouvenelle²,

Thorin³

et al. 2023

IJERPH

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Objective: We aimed to assess the prevalence of exposure by sector and the sectors of activity most exposed to each exposure, using routine occupational health data, and to quantify the risk of being exposed. Method: Occupational risk factors were assessed by workers followed by the Occupational Health Service of Cher, using self-reported questionnaires. The sectors of activity were grouped into seven sectors, and the risks were grouped into six occupational exposure groups. Comparisons were made using the Chi-squared test and Cramer’s V, and the odds ratios were calculated by using logistic regression. Results: We included 19,891 workers. The construction sector had the highest prevalence (p < 0.05 vs. all other sectors) of exposure to physical (76%) and biomechanical factors (82%), as well as chemical risks (75%). Human health and social work was the sector with the highest prevalence of exposure to biological factors (69%), psychosocial factors (90%), and atypical working hours (61%). With workers from administrative and support sectors as the reference, construction workers had more chance of declaring exposure to physical factors (OR = 3.28, 95%CI = 2.89 to 3.72), biomechanical factors (1.82, 1.58 to 2.09), and chemical agents (3.83, 3.38 to 4.33). Workers from the human health and social sectors had more chance of being exposed to biological agents (13.4, 11.9 to 15.2), atypical working hours (1.93, 1.75 to 2.14), and psychosocial factors (2.74, 2.38 to 3.16). Conclusion: Psychosocial risk factors were commonly reported in all sectors. Workers in the construction, human health, and social sectors seem to report more exposures than those in other sectors. The analysis of occupational exposures is a necessary basis to build an efficient preventive strategy for occupational health.

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Section: Discussionmentioning

confidence: 99%

Occupational Risk Factors by Sectors: An Observational Study of 20,000 Workers

Dogbla

Gouvenelle²,

Thorin³

et al. 2023

IJERPH

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“…This technique was used to handle multivariate categorical data, such as those collected in the survey. The main idea of multiple correspondence analysis is the reduction of the dimensionality of the original data set into different components; generally, as a result of such analysis, perceptual maps with the first two components are obtained, thus facilitating interpretation [104].…”

Section: Discussionmentioning

confidence: 99%

Socio-Economic Factors of Rural Entrepreneurs that Influence Agricultural Development in Antioquia

Arias¹,

Ribes‐Giner²,

Arango³

et al. 2021

Preprint

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Entrepreneurship can help revitalize rural territories and agricultural development; consequently, it is important to know aspects that allow a better understanding of the subjects that undertake in the countryside, in this case, sociodemographic aspects, related to students and graduates of five Faculties of Agricultural Sciences in the Department of Antioquia in Colombia. For this purpose, a previously validated questionnaire was used, collecting 427 complete responses. Chi-square sta-tistical tests were performed to determine the degree of association of entrepreneurial activity with measured sociodemographic variables such as gender, age, marital status, schooling, family environment, and dependents. Once the existence of associations between the variables was ver-ified, a multiple correspondence analysis was performed to identify patterns and trends. A greater favorability for entrepreneurship was found in those subjects belonging to the upper strata of the population, mostly men, with postgraduate studies, from wealthy families, while the poorest and women are mainly oriented towards job search.

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“…La idea principal de un análisis de correspondencias múltiples es la reducción de la dimensionalidad del conjunto de datos originales en diferentes componentes. Generalmente como resultado de dicho análisis se obtienen unos mapas perceptuales con las dos primeras componentes facilitando con ello la interpretación (Fort et al, 2019).…”

Section: Tabla 1 Descripción De La Muestraunclassified

Factores sociodemográficos que inciden en el emprendimiento rural de jóvenes en Antioquia, Colombia

Vargas¹,

Ribes‐Giner²,

Arango-Botero³

et al. 2021

RVG

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El emprendimiento se torna como una fuerza que posibilita la revitalización de los territorios rurales y el desarrollo agrícola, en consecuencia, es importante identificar los factores sociodemográficos que inciden en el emprendimiento rural de jóvenes pertenecientes a cinco Facultades de Ciencias Agrarias de las universidades en el Departamento de Antioquia en Colombia. Para ello, se diseñó y aplicó un instrumento de recolección de información, previamente validado con enfoque cualitativo, recopilando 427 respuestas completas. Se realizaron pruebas estadísticas de chi-cuadrado para determinar el grado de asociación de la actividad emprendedora con las variables sociodemográficas medidas tales como género, edad, estado civil, escolaridad, entorno familiar y dependientes. Una vez verificada la existencia de asociaciones entre las variables, se realizó un análisis de correspondencias múltiples con el propósito de identificar patrones y tendencias entre las variables. Los resultados muestran una mayor favorabilidad para emprender en la ruralidad antioqueña de aquellos sujetos pertenecientes a los estratos altos de la población, mayoritariamente hombres, con estudios de posgrado, provenientes de familias donde los padres tienen al menos titulación universitaria, con situación diferente a la soltería y con un rango de edad que oscila entre los 32 a 38 años. Los hombres son más propensos a emprender que las mujeres en las zonas rurales.

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Working conditions and risk exposure of employees whose occupations require driving on public roads – Factorial analysis and classification

Abstract: Working conditions and risk exposure of employees whose occupations require driving on public roads-Factorial analysis and classification

Cited by 11 publications

References 25 publications

Occupational Risk Factors by Sectors: An Observational Study of 20,000 Workers

Occupational Risk Factors by Sectors: An Observational Study of 20,000 Workers

Socio-Economic Factors of Rural Entrepreneurs that Influence Agricultural Development in Antioquia

Factores sociodemográficos que inciden en el emprendimiento rural de jóvenes en Antioquia, Colombia

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