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The generalizability of cardiovascular responses across settings
W Gerin1, N Christenfeld, C Pieper
1Cornell University Medical College, New York Hospital 10021, USA. wgerin@med.cornell.edu
Journal of Psychosomatic Research
|April 9, 1998
Summary
Cardiovascular reactivity change scores' generalizability is questionable. Even changing only the setting between lab and field settings significantly lowered blood pressure correlations, impacting real-world applicability.
Area of Science:
- Psychophysiology
- Cardiovascular Research
- Behavioral Medicine
Background:
- The generalizability of cardiovascular reactivity (CVR) change scores is limited.
- Previous studies showed poor correlations between laboratory and field CVR measurements due to multiple differing factors.
- Interpreting these discrepancies is challenging when numerous variables are confounded.
Purpose of the Study:
- To isolate the effect of setting on the generalizability of CVR.
- To compare CVR measurements obtained in a laboratory versus non-laboratory settings.
- To assess the test-retest reliability of CVR within a laboratory setting.
Main Methods:
- Twenty-four female participants underwent four sessions: two in the lab, one in a classroom, and one at home.
- Procedures, including a math task and physiological monitoring (blood pressure, heart rate), were identical across all settings.
- Systolic blood pressure (SBP) and diastolic blood pressure (DBP) changes were analyzed for reliability and correlations.
Main Results:
- High test-retest reliability for blood pressure changes was observed between two laboratory sessions (rs = 0.68 for SBP, 0.62 for DBP).
- Lower correlations were found between laboratory and non-laboratory settings (rs = 0.47 for SBP, 0.38 for DBP).
- A change in setting alone, a minor procedural variation, demonstrably reduced the generalizability of CVR measurements.
Conclusions:
- Setting is a critical factor influencing the generalizability of cardiovascular reactivity.
- Even subtle changes in experimental environment can significantly impact lab-to-field correlations.
- Findings suggest that other, more substantial lab-field differences likely have an even greater negative impact on generalizability.