DOI
10.1016/j.ssci.2025.107105
Abstract
Objectives
Psychosocial risk or work-related hazard can lead to harmful individual and organizational outcomes. This study used 2023 data collected in compliance with Mexico’s NOM-035-STPS-2018 regulation to characterize overall psychosocial risk by sex, generation, industry, and explore domain-specific psychosocial risk by industry.Methods
Frequencies (n) and percentages (%) were reported to describe the distribution of psychosocial risk. Significant difference testing was done with the chi-square statistic to test for differences in overall psychosocial risk by risk factor (α < 0.05).Results
Data from 58,994 employees from 67 organizations operating in Mexico that implemented NOM-035-STPS-2018 in 2023 were included. Approximately 27% of the sample had high or very high overall psychosocial risk. Males had significantly higher psychosocial risk than females (28.3% vs 25.5%, p < 0.05) and there was no difference in psychosocial risk by generation. The construction, energy, and manufacturing industry had the highest level of psychosocial risk for lack of control over work (29.8%), leadership (20.5%), violence (12.8%), performance recognition (12.3%), working conditions (13.0%), and work relationships (3.5%) relative to the other four industry categories.Conclusions
NOM-035 presents a unique opportunity to explore psychosocial risk in Mexico’s employees. In 2023, there was no difference in psychosocial risk by generation, and psychosocial risk was highest in workers of blue-collar industries. More research is needed to further explore these associations to inform interventions for employers and regulatory bodies.Document Type
Article
Publisher Statement
© 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Publication Date
4-2026
Recommended Citation
Courtney T Blondino, Karla M Téllez, Noémie Le Pertel, Ariel Joab Almazan, Lorna Friedman, Describing psychosocial risk in the Mexican working population by sex, generation, and industry: a cross-sectional study, Safety Science, Volume 196, 2026, 107105, ISSN 0925-7535, https://doi.org/10.1016/j.ssci.2025.107105.
