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Characterization of Dynamic Adaptation to Stressors Using Multisystem Stimulus-Response Data: The Study of Physical
Karen Bandeen-Roche1,2,3, Jiafeng Zhu3, Qian-Li Xue2,4
1Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Physical resilience in older adults is linked to physiological fitness. The SPRING study found that heart rate variability and cortisol responses predict adaptation capacity across major clinical stressors, paving the way for better resilience forecasting.
Area of Science:
- Gerontology and Physiology
- Stress Response Mechanisms
- Aging Research
Background:
- Resilience is a key gerontological concept for positive aging outcomes.
- Understanding the physiological mechanisms of resilience is crucial.
- Physical resilience may be rooted in the body's stress response system.
Purpose of the Study:
- To test the hypothesis that physical resilience is linked to physiological fitness.
- To characterize physiological fitness in older adults facing major stressors.
- To investigate adaptation capacity using stimulus-response physiological measures.
Main Methods:
- The Study of Physical Resilience in Aging (SPRING) pilot study (n=79).
- Analysis of heart rate variability (HRV) via Holter monitoring.
- Assessment of cortisol responses to adrenocorticotropic hormone (ACTH) stimulation and diurnal salivary cortisol.
- Principal component analysis to identify steady-state and adaptation mechanisms.
Main Results:
- Physiological measures demonstrated underlying adaptation mechanisms, supporting construct validity.
- Component scores varied significantly based on stressor type and surrogate physiological measures, evidencing criterion validity.
- Combined HRV, ACTH, and salivary cortisol data effectively assessed adaptation capacity across diverse stressors.
Conclusions:
- The SPRING study provides proof of principle for physiological fitness underlying physical resilience.
- This is the first human study to concurrently assess multiple physiological systems via stimulus-response tests.
- Findings support future validation for forecasting older adults' resilience to clinical stressors.
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