What question did this study set out to answer?

This research aims to explore the association between academic stress levels and salivary biomarkers, with a focus on sex differences.

January 22, 2026Open Access

Academic stress through salivary biomarkers: A multivariate exploration of cortisol, IL-1β, CRP, and IgA levels with sex-specific insights

Key Points

This research aims to explore the association between academic stress levels and salivary biomarkers, with a focus on sex differences.
Cross-sectional study design involving 81 undergraduates.
Self-reported academic stress measured using the SISCO inventory.
Four biomarkers—cortisol, interleukin-1β, C-reactive protein, and immunoglobulin A—quantified using ELISA.
Data analyzed through multivariate approaches including ANOVA and linear regression modeling.
No significant associations found between stress scores and individual biomarkers.
Multivariate analysis resulted in a predictive model for stress levels with R² = 0.14.
Males with high stress showed lower cortisol but elevated proinflammatory markers compared to females.

Abstract

Academic stress activates physiological responses mediated by the sympathetic-adrenal-medullary axis and the hypothalamic-pituitary-adrenal axis, leading to the release of biomarkers such as cortisol and proinflammatory cytokines. While stress physiology has been extensively studied in clinical populations, few studies have systematically examined the association between academic stress and multiple salivary biomarkers in undergraduates, particularly with attention to sex differences. This cross-sectional study investigated the relationship between self-reported academic stress survey measured via the SISCO inventory and four salivary biomarkers of cellular inflammation: cortisol, interleukin-1β, C-reactive protein, and immunoglobulin A in 81 undergraduates (53 females, 28 males). Biomarker levels were quantified using ELISA, and data were analyzed via multivariate approaches (ANOVA, Pearson correlations, and linear regression modeling). Participants were categorized as low (37%), moderate (35%), and high (28%) stress levels based on SISCO scores. Although no statistically significant associations were found between SISCO scores and individual biomarkers, multivariate analysis revealed a predictive model (R² = 0.14) combining all four biomarkers, with stress level predictions within ±20% of observed values. Males in the high-stress score showed lower cortisol trends but higher proinflammatory markers compared to females, suggesting divergent physiological stress responses by sex. These findings provide preliminary evidence for sex-differential association in self-reported academic stress with biological markers of inflammation, highlighting the potential of biomarker panels rather than single markers to capture the complexity of academic stress. In addition, this study establishes a methodological framework for combining psychometric tools with multi-biomarker analyses in stress research, addressing a critical gap in the literature on academic stress physiology.

Academic stress through salivary biomarkers: A multivariate exploration of cortisol, IL-1β, CRP, and IgA levels with sex-specific insights

Key Points

Abstract

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