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Dear Colleagues,

Psychosocial risks are now widely recognized as major challenges to occupational health and safety (EASWH, 2007). The European Framework for Psychosocial Risk Management (PRIMA-EF, Leka and Cox, 2008) considers psychosocial risk monitoring as essential for risk management policies, at both micro- and macrolevels.

Psychosocial risk assessment at the enterprise (micro-) level needs specific assessment tools most of the times. These tools, often based on survey data, are not available for specific sectors, and generic tools such as CoPsoQ (The Copenhagen Psychosocial Questionnaire) or FSICO are used.

At the same time, policy-makers need specific tools to assess psychosocial risks at a macrolevel, such as in countries and regions. Moreover, they need to assess psychosocial risks for specific sectors, worker collectives, or periods. Composite indicators can be useful in these cases.

This Special Issue is looking for theoretical and applied research studies on psychosocial risk assessment and related tools at the micro-, meso-, and macrolevel and for specific results that can help to determine baseline values for future psychosocial risk surveillance.

Dr. Jesús A. Carrillo-Castrillo
Guest Editor

Dr. Ventura Pérez-Mira
Dr. Marta Gómez-Galán
Assistant Guest Editors

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Keywords

Psychosocial risks
Assessment Tools
Composite indicators

Published Papers (2 papers)

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Research

18 pages, 1191 KiB

Open AccessArticle

How to Use Questionnaire Results in Psychosocial Risk Assessment: Calculating Risks for Health Impairment in Psychosocial Work Risk Assessment

by Jan Dettmers and Christiane R. Stempel

Int. J. Environ. Res. Public Health 2021, 18(13), 7107; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18137107 - 02 Jul 2021

Cited by 1 | Viewed by 3744

Abstract

Psychosocial risk questionnaires are common instruments in occupational safety and health promotion. Organizations use psychosocial risk questionnaires to obtain an economic overview of psychological job stressors and job resources. However, the procedures to assess if a result for a given workplace group is critical and calls for further action differ significantly and are often based on an arbitrary rule of thumb instead of empirically based evaluations. This article presents a method to translate questionnaire results into risk values for the occurrence of health impairment. We test this method on a dataset including the job stressors, job resources, and emotional exhaustion of 4210 employees from different industries. We applied logistic regression analysis to calculate the risks for impaired psychological health, indicated by high values of the burnout indicator emotional exhaustion. The results indicate significantly different health impairment risks (probabilities) for different scores on the job stressors and job resources scales as well as for scale score combinations. The risk values can be used to define cutoff values between high- and low-risk workplaces that are empirically based on stressor–strain relationships and are easily understandable by all stakeholders in the psychosocial risk assessment process, including laypersons. Full article

(This article belongs to the Special Issue Psychosocial Risk Assessment Tools)

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29 pages, 3023 KiB

Open AccessArticle

Approach for Assessing the Prevalence of Psychosocial Risks of Workers in the Greenhouse Construction Industry in South-Eastern Spain

by José Pérez-Alonso, Marta Gómez-Galán, Marta Agüera-Puntas, Julián Sánchez-Hermosilla and Ángel-Jesús Callejón-Ferre

Int. J. Environ. Res. Public Health 2021, 18(9), 4753; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18094753 - 29 Apr 2021

Cited by 3 | Viewed by 2261

Abstract

This paper shows the prevalence of psychosocial risks for workers in the greenhouse construction industry in south-eastern Spain. Method: The assessment of the workers’ psychosocial risks was carried out through simple random sampling, which uses a questionnaire containing 13 variables characterizing the companies, 14 variables characterizing the workers, and 15 questions proposed by the Mini Psychosocial Factors (MPFs) risk assessment method. A descriptive analysis and multiple correspondence analysis were performed on the sample data. Results: Greenhouse construction businesses in south-eastern Spain can generally be classified as small companies with an average annual turnover below EUR 2.0 million (69.3%), an average of 22.8 workers with an average age of 39.84 years old, most of whom are married, with an average of 1.76 children. The prevalence of workers at high risk was 2.9%, while 45.1% were at medium-high risk. Of the 12 psychosocial factors assessed using the MPF method, 7 of them presented a high level of worker risk: Mobbing (3.2%), Relationships (1.6%), Recognition (1.6%), Autonomy (12.9%), Emotional (8.0%), Control (4.8%), and Demands (3.2%). Lastly, the variables were grouped into four clusters, showing that larger companies are correlated with a medium (workers over 40 years of age or less than 25 years of age) to high (workers under 25 years of age) risk level in several of the psychosocial factors assessed for workers who are Spanish nationals, while in smaller companies, the workers are usually middle aged (between 25 and 40 years old) and from Eastern Europe or Africa, presenting either a low or high level of risk depending on the psychosocial factors and tasks performed. Impact of the results: The study reveals a lack of prevention management regarding psychosocial risks. Therefore, it is necessary to carry out new prevention programmes that optimise the psychosocial conditions of the workers, involving the workers, employers, and other social agents. Full article

(This article belongs to the Special Issue Psychosocial Risk Assessment Tools)

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