Évaluation des contraintes psycho-organisationnelles selon le modèle de Karasek chez des salariés de 14 entreprises du secteur privé tunisien

Magroun, I.; Ghannouchi, H.; Fehri, S.; Chatti, Mounira; Salah, F. Ben; Nouaigui, Habib

doi:10.1016/j.admp.2016.01.006

Cited by 5 publications

(5 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our results corroborate those of Magroun et al . who found a significant association between occupational stress and four sectors of activity: wood production, furniture manufacture, poultry farming and the plastics and rubber industry [ 32 ] as well as the findings of Jigan et al [ 40 ].…”

Section: Discussionmentioning

confidence: 91%

“…This prevalence of occupational stress is higher than those observed in other sectors of activity. This includes estimates of 27.3% in an insurance company in Benin [ 30 ], 54.6% in a port environment in Abidjan, Côte d’Ivoire [ 31 ], and 17% in employees across 14 companies in the Tunisian private sector [ 32 ]. Our estimates are closer to levels of stress found in the secondary sector of activity, such as a prevalence of 69% among firemen in Senegal [ 33 ] and 52% among migrant workers in Cameroon [ 34 ].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Occupational stress in industry setting in Benin 2019: A cross-sectional study

Adjobimey

Hinson²,

Mikponhoué³

et al. 2022

PLoS ONE

View full text Add to dashboard Cite

Background Occupational stress is a psychosocial risk in the workplace. Working conditions in industrial settings may lead to occupational stress. In Benin, however, there is little epidemiological data on occupational stress in industrial settings. We aimed to determine the prevalence and factors associated with occupational stress in industrial settings in Benin in 2019. Methods This was a prospective, cross-sectional study conducted from January 31 to April 11, 2019, among 15 cotton ginning plants. Sampling was exhaustive for permanent workers and stratified in clusters by shift for occasional cotton gin workers. Data were collected through Karasek and Siegrist questionnaires. Data analysis was performed using R software. Binary multivariable logistic regression was performed. The significance level was p < 0.05. Results Of 1883 workers included, 90.8% were male. The median age was 38 years (IQR: 28 years to 49 years). The prevalence of occupational stress was 77.7% (95% CI: 75.8–79.6). Psychological demand was high in 93.0% of workers and 83.9% had low decision latitude. Among the workers, 16.3% had low social support and 89.9% had a low recognition score at work. Factors associated with occupational stress were: being an occasional vs. permanent worker (aOR 6.43, 95% CI 4.18 to 9.88); age less than 38 years (aOR 0.55, 95% CI 0.41 to 0.76); high intensity physical activity at work (aOR 1.33, 95% CI 1.03 to 1.73); working in production vs. administration (aOR 1.59, 95% CI 1.03 to 2.45); spending fewer than 4 years at the current work location (aOR 1.60, 95% CI 1.05 to 2.44); and scoring low for recognition at work (aOR 1.53, 95% CI 1.04 to 2.23). Noise exposure and being a shift worker were significant in univariable analysis, but not multivariable analysis. Conclusion Occupational stress is very common among workers in industrial settings. The implementation and evaluation of preventive measures against these risk factors is necessary.

show abstract

Section: Discussionmentioning

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Occupational stress in industry setting in Benin 2019: A cross-sectional study

Adjobimey

Hinson²,

Mikponhoué³

et al. 2022

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…Several other authors have found similar results, but in the tertiary sector, Kusuayi Mabele et al 34 in Congo in 2015 and Hinson et al 20 in a bank in Benin in 2016. It should be noted that the prevalence of occupational stress varies from one sector of activity to another25 35 and that the risk of hypertension could be correlated with it.…”

Section: Discussionmentioning

confidence: 99%

Work environment and hypertension in industrial settings in Benin in 2019: a cross-sectional study

Adjobimey,

Houehanou,

Cisse

et al. 2024

BMJ Open

View full text Add to dashboard Cite

ObjectiveTo determine the association between occupational factors, particularly psychosocial factors, and hypertension.DesignDescriptive and analytical cross-sectional study using logistic multivariate regression.SettingFifteen cotton ginning plants in Benin.ParticipantsPermanent and occasional workers in the cotton ginning industry.Data collectionData on sociodemographic, occupational, behavioural and clinical history characteristics were collected using a number of standardised, interviewer-administered questionnaires. These questionnaires were based on the WHO’s non-communicable disease questionnaire, Karasek questionnaire and Siegrist questionnaire. Weight, height and blood pressure were measured. Any worker with systolic blood pressure ≥140 mm Hg and/or diastolic blood pressure ≥90 mm Hg according to the WHO criteria was considered hypertensive, as was any subject on antihypertensive treatment even if blood pressure was normal.ResultsA total of 1883 workers were included, with a male to female ratio of 9.08. Of these, 510 suffered from hypertension (27.1%, 95% CI 25.1 to 29.2). In the multivariate analysis, the risk factors identified were occupational stress (adjusted OR (aOR)=3.96, 95% CI 1.28 to 12.2), age ≥25 years (aOR=2.77, 95% CI 1.55 to 4.96), body mass index of 25–30 kg/m2(aOR=1.71, 95% CI 1.32 to 2.2), body mass index >30 kg/m2(aOR=2.74, 95% CI 1.84 to 4.09), permanent worker status (aOR=1.66, 95% CI 1.44 to 2.41) and seniority in the textile sector >5 years (aOR=2.18, 95% CI 1.7 to 2.8). Recognition at work emerged as an effect-modifying factor subject to stratification.ConclusionsOccupational factors, particularly job strain and recognition at work, are modifiable factors associated with hypertension in the ginning plants sector and deserve to be corrected through occupational health promotion and prevention.

show abstract

“…A study entitled People First: Driving growth in emerging megacities, by Cabinet Mercer, found that 38% of Casablanca employees suffer from high stress levels. According to a Tunisian study carried out in 14 Tunisian private sector companies, the rate of stressed people was 17% according to Karasek's model 18 . In France, the SUMER survey (2003) showed that 23.3% of the responding workers were on job-strain 19 .…”

Section: Discussionmentioning

confidence: 99%

Karasek-based Assessment of Psycho Organizational Constraints among Employees of the Faculty of Sciences in Kenitra, Morocco

2020

IJPHRD

View full text Add to dashboard Cite

Background: Certain trades, by their functions, are more likely to be affected by psychological problems such as psychological distress, stress. Employees in academic institutions are not immune to this behavior. Objective:The object of our study consists in providing a Karazek-based study of the state of stress of the employees of the faculty of sciences of kénitra as well as determining the factors of stress at work. Methodology:The tests used to evaluate this psychic and organizational behavior, are the Job strain model" Karazek 1979. The survey covers 70 permanent employees, 61.3% of whom are men and 38.7% are women. Results:The results obtained show that 33.33% of the employees are under job strain or "work tension (low LD and strong PD) while 7.14% of the subjects are relaxed (weak PD and strong LD). However, 30.43% of respondents are passive (they both have low PD and low LD) while 29.09% of subjects are active (high PD and high LD). The factors of age, sex and seniority in the position have been found to be very associated with job strain. In fact, stress at work increases with advancing age, gender (more female than male) and seniority.Conclusion: decision-makers in the sector must engage in approaches to fight stress, while putting in programs, activities to appease the general work environment.

show abstract

Évaluation des contraintes psycho-organisationnelles selon le modèle de Karasek chez des salariés de 14 entreprises du secteur privé tunisien

Cited by 5 publications

References 25 publications

Occupational stress in industry setting in Benin 2019: A cross-sectional study

Occupational stress in industry setting in Benin 2019: A cross-sectional study

Work environment and hypertension in industrial settings in Benin in 2019: a cross-sectional study

Karasek-based Assessment of Psycho Organizational Constraints among Employees of the Faculty of Sciences in Kenitra, Morocco

Contact Info

Product

Resources

About