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The STRESS-NL database: A resource for human acute stress studies across the Netherlands
Bonapersona1, F J Born2, P Bakvis3
1Department of Translational Neuroscience, University Medical Center Utrecht Brain Center, Utrecht University,Utrecht, The Netherlands.
The STRESS-NL database consolidates data from 57 acute stress studies, enabling powerful new analyses of the human stress response. This collaborative initiative accelerates understanding of stress in health and disease.
Area of Science:
- Neuroscience
- Psychology
- Physiology
Background:
- Human acute stress response involves complex neurobiological, physiological, and behavioral changes.
- Laboratory-based studies using acute stress paradigms are crucial for understanding stress.
- Individual studies often have limited sample sizes, hindering robust statistical analysis.
Purpose of the Study:
- To establish the STRESS-NL database, a collaborative initiative for data sharing in human acute stress research.
- To create a framework for meta-analytical and hypothesis-driven data analyses with high statistical power.
- To accelerate the understanding of the human acute stress response in both healthy and clinical populations.
Main Methods:
- An interdisciplinary initiative involving 12 Dutch research groups from 6 universities.
- Compilation of (neuro)biological, physiological, and behavioral data from 42 independent studies.
- Inclusion of data from 5529 participants across 57 experiments, with cortisol measurements as a common, but not mandatory, outcome.
Main Results:
- The STRESS-NL database currently contains data from 5529 participants (6-99 years old).
- Data originates from 57 experiments within 42 distinct studies, reflecting diverse stress paradigms and outcome measures.
- The database infrastructure facilitates proof-of-principle and meta-analytical investigations.
Conclusions:
- The STRESS-NL database provides a powerful resource for advancing human stress research.
- Data accumulation and combination enable high-powered explorative and hypothesis-driven analyses.
- Future expansion to international studies and similar rodent databases holds significant scientific promise.
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