Andalusian composite indicator of psychosocial risks (ACIPR): A tool to assess differences of exposure for specific worker collectives

Introduction: Occupational risk management has traditionally focused on the prevention of risks that seem more obvious than psychosocial risks. In recent years, the importance of psychosocial risks in the workplace has become apparent. The European Agency for Safety and Health at Work developed guidelines and information campaigns focusing on these risks. Psychosocial risks are multi-causal and difficult to identify due to the particularities of the factors that characterize them. Research on psychosocial risks has provided different classifications of the factors and effects of this type of risk, where we can highlight the one developed by the European Union in the Psychosocial Risk Management-Excellence Framework (PRIMA-EF). The aim of this research is to determine the influence of gender, company size, or productive sector in relation to psychosocial risks in the workplace. Method: A multivariate analysis of the II Andalusian Working Conditions Survey, using the PRIMA-EF theoretical model and by means of the elaboration of a synthetic indicator, allowed us to identify and confirm eight psychosocial risk factors and to define the Andalusian Composite Indicator of Psychosocial Risks (ACIPR). This indicator is used to measure differential exposure. Results: The main findings show a higher psychosocial risk in men, where the construction sector is the one with the highest psychosocial risk. It also highlights that medium-sized companies have the lowest psychosocial risk.

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Publication Details

Journal
Journal of Safety Research
Published
2026-07-17
DOI
https://doi.org/10.1016/j.jsr.2026.07.003
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Andalusian composite indicator of psychosocial risks (ACIPR): A tool to assess differences of exposure for specific worker collectives

Jesús A. Carrillo-Castrillo, Carlos de las Heras-Rosas, Virginia Herrera Pérez, María del Carmen Pardo-Ferreira
Journal of Safety Research
Occupational Health and Safety Research
article

Andalusian composite indicator of psychosocial risks (ACIPR): A tool to assess differences of exposure for specific worker collectives

Jesús A. Carrillo-Castrillo, Carlos de las Heras-Rosas, Virginia Herrera Pérez, María del Carmen Pardo-Ferreira
article en

Abstract

Introduction: Occupational risk management has traditionally focused on the prevention of risks that seem more obvious than psychosocial risks. In recent years, the importance of psychosocial risks in the workplace has become apparent. The European Agency for Safety and Health at Work developed guidelines and information campaigns focusing on these risks. Psychosocial risks are multi-causal and difficult to identify due to the particularities of the factors that characterize them. Research on psychosocial risks has provided different classifications of the factors and effects of this type of risk, where we can highlight the one developed by the European Union in the Psychosocial Risk Management-Excellence Framework (PRIMA-EF). The aim of this research is to determine the influence of gender, company size, or productive sector in relation to psychosocial risks in the workplace. Method: A multivariate analysis of the II Andalusian Working Conditions Survey, using the PRIMA-EF theoretical model and by means of the elaboration of a synthetic indicator, allowed us to identify and confirm eight psychosocial risk factors and to define the Andalusian Composite Indicator of Psychosocial Risks (ACIPR). This indicator is used to measure differential exposure. Results: The main findings show a higher psychosocial risk in men, where the construction sector is the one with the highest psychosocial risk. It also highlights that medium-sized companies have the lowest psychosocial risk.

Journal of Safety ResearchVol. 98
Universidad de Sevilla (ES), Universidad de Málaga (ES)
Universidad de Málaga
Gender equality
Openalex Percentile: Top 8%
Occupational Health and Safety Research
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