Workplace Safety and Health Policies as Predictors of Employee Well-Being, Empowerment, and Work Performance in Nigeria's National Assembly

Abstract

Workplace safety and health (WSH) policy is often described as something that shapes how employees feel and perform, not just whether they get hurt at work, but this claim has rarely been tested inside Nigeria's legislative institutions. This study examined whether perceived WSH policy implementation predicts employee well-being, empowerment, and work performance among staff of Nigeria's National Assembly, and how employees themselves describe this relationship. A cross-sectional mixed-methods design was used: a structured questionnaire was completed by 332 permanent staff (93.26% response rate from 356 administered), and 14 key informants were interviewed. Data were analysed using Pearson correlation, simple linear regression, one-way ANOVA, and thematic analysis. Perceived safety policy implementation was significantly and positively correlated with well-being (r = .62, p < .01), work performance (r = .51, p < .01), and empowerment (r = .48, p < .01). Regression analysis, with safety policy perception entered as the sole predictor in each model, showed that safety policy perception significantly predicted well-being (β = 0.58, p < .001, R² = .38), work performance (β = 0.49, p < .001, R² = .32), and empowerment (β = 0.46, p < .001, R² = .29), with outcomes differing significantly by job category (p < .05), senior management reporting the most favourable outcomes across all three. Interviews linked safe, supportive conditions to concentration, motivation, and emotional steadiness, and linked gaps in safety provision to anxiety and lower output. Given the cross-sectional, single-predictor design, these findings describe statistical association rather than demonstrated causal effect. Overall, WSH policy is associated with better employee outcomes, an association that appears limited by how unevenly the policy is actually carried out across the institution, and that future longitudinal, covariate-adjusted research should test more directly.