A Dual Biomarker Approach to Stress: Hair and Salivary Cortisol Measurement in Students via LC‐MS/MS
Year: 2025
Type: article
Study design: Observational Study
Abstract: Stress is a significant issue among students, affecting both their mental and physical health. In this study, we investigated cortisol levels, a key biomarker for stress, in students at the United Arab Emirates University (UAEU) during their exam period. Using a sensitive liquid chromatography-tandem mass spectrometry (LC-MS/MS) methodology we measured cortisol concentrations in hair and saliva samples and explored the potential correlation between exam-induced stress and cortisol levels. The results revealed an increase in cortisol levels during the exam period, with male students showing an average hair cortisol concentration of 150.625 pg/mg and female students displaying an average of 77.756 pg/mg. Salivary cortisol levels ranged from 0.002 to 9.189 ng/mL, with an overall average of 4.505 ng/mL. Statistical analysis revealed significant differences in cortisol levels between male and female students, underscoring the impact of exam-related stress on both acute and chronic stress markers. This study underscores the importance of addressing academic stress and suggests targeted strategies to mitigate its impact on student health ultimately fostering an environment encouraging both academic success and psychological well-being within the student community. Future research directions include exploring additional clinical parameters and expanding the study population to further understand the long-term effects of academic stress.
Source: Analytical Science Advances
DOI: 10.1002/ansa.70003
Authors: Muhammad K. Hakeem, Sundas Sallabi, Raghda Ahmed, Hana Hamdan, Amel Mameri, Mariam Alkaabi, Asmaa Alsereidi, Sampath K. Elangovan, Iltaf Shah
Institution: United Arab Emirates University
Language: English
Subfield: Behavioral Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,180
Funder: United Arab Emirates University
Award: G7112474411
OpenAlex ID: W4407860859
