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Objective While psychosocial risks at work (PRW) are known to negatively impact health and productivity, their interrelations and cumulative effects remain poorly understood. This study aims to test an integrative explanatory model—grounded in both the Job Demands-Resources model and the theory of Psychosocial Safety Climate (PSC)—to better understand how PRW interact and influence outcomes. By modeling the interrelations between PRW, this study seeks to identify key risks that act as amplifiers or triggers, offering organizations evidence-based guidance on which PRW to address first to maximize impact.Material and Methods In October-November 2024, 3000 French-speaking workers from a demographically diverse populational panel completed the French-language Questionnaire on Psychosocial Risks, Well-being, and Health at Work (QRBEST), a validated instrument measuring 22 PRW and 12 outcomes of well-being, health, and productivity.Structural equation modeling will be used to assess the fit and plausibility of the proposed explanatory model, where six latent factors (demands, resources, violence/harassment, PSC, health, and productivity) are expected to interact. Confirmatory factor analyses will first validate the factor structure; if needed, theory- and data-driven adjustments will be made. Once the measurement model is satisfactory, the structural model will be tested to evaluate the hypothesized pathways among factors.Results Preliminary analyses show good to excellent internal consistency for all QRBEST dimensions (α>.75). The factorial structure is supported by confirmatory factor analyses. Upcoming analyses will examine the model’s fit and hypothesized pathways and identify key PRW linked to adverse outcomes; findings will be ready for presentation at EPICOH.Conclusion This research will advance understanding of how various PRW interact to influence well-being, health, and productivity. The findings might support the development of more targeted and effective prevention strategies across diverse organizational contexts, especially those with limited occupational health resources.Funding Fonds institutionnel de recherche de l’Université du Québec à Rimouski.