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Insights into Biomarker Correlations in Relation to Stress: A Preliminary Analysis

Lundstrom, A. C.; Mandalios, C. M. S.

2023-09-17 neuroscience
10.1101/2023.09.16.557862 bioRxiv
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The objective of this study was to analyze specific biomarkers of interest and find correlations between them using hormonal and cardiovascular measurements. The aim was to explore these physiological patterns during a typical weekday. While this research provides valuable insights into physiological patterns and their potential impact on mental performance, its essential to note that the study did not aim to diagnose, treat, or propose specific medical interventions based on the findings. Instead, the focus was solely on observational data collection and analysis for the purpose of exploring correlations and understanding daily physiological fluctuations in the context of stress and cognitive performance. Furthermore, the team observed how a low-level stress-triggered cognitive task could alter, and possibly impair, mental performance due to fluctuations in these selected data points. Five (5) adult, healthy participants (aged between 20 and 35 years) volunteered for the small-scaled study (two male and three female). In the current study, participants with larger hormonal and cardiovascular fluctuations during a 5-minute stress-induced task did not achieve as well as those with more stable physiological measurements. Interestingly, a significant peak in cortisol levels was detected during the mental task, likely due to the stress-induced environment. The current, and vastly limited methods used for at-home, hormonal measurements, as well as the slightly unreliable sensor technology used in general pulse oximeters measuring blood oxygen saturation in this trial, indicate the great need to develop new solutions. This includes innovations that would make health monitoring more convenient, while at the same time emphasizing improved mental well-being in daily situations, all without having to continuously wear a gadget to obtain precise insights about multiple health metrics.

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