Predicting athletic performance from cardiovascular indexes of challenge and threat

By J. Blascovich, Mark D Seery, Carrie A Mugridge, R. Norris, Max Weisbuch. 2004

335 citations recorded by the source corpus.

How researchers see this paper

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The Relationship Between Challenge and Threat States and Performance: A Systematic Review (2019, methodology): “…have used self-119 report measures of demand and resource evaluations (e.g., Gildea, Schneider, & Shebilske, 2007), others have used physiological indices computed from CO and TPR reactivity (i.e., change in CO and TPR from baseline to post-instruction/task exposure; e.g., Blascovich et al., 2004).”
Social power makes the heart work more efficiently: Evidence from cardiovascular markers of challenge and threat (2012, positive): “…higher values on the resulting index indicate a stronger challenge motivational state whereas lower values indicate a stronger threat motivational state (Blascovich et al., 2004; Kassam, Koslov, & Mendes, 2009; Mendes et al., 2007; Seery et al., 2009; Weisbuch, Seery, Ambady,&Blascovich, 2009).”
ECG Pattern Analysis for Emotion Detection (2012, background): “The major novelty lies in the analysis of the dynamic properties of this signal’s waveform using a discrete emotional model.”
A Theory of Challenge and Threat States in Athletes (2009, background): “Of importance to this review is the cardiovascular responses outlined by the BPS model have also been observed in athletes (Blascovich, Seery, Mugridge, Norris, & Weisbuch, 2004 ).”