Prompted by the development of the Theory of Challenge and Threat States in Athletes (Jones et al, 2009), recent years has witnessed a considerable increase in research examining challenge and threat in sport. This manuscript provides a critical review of the literature examining challenge and threat in sport, tracing its historical development and some of the current empirical ambiguities. In an attempt to reconcile some of these ambiguities, and utilising neurobiological evidence associated with approach- and avoidance-motivation (cf. Elliot & Covington, (...) 2001), this paper draws upon the Evaluative Space Model (ESM: Cacioppo et al., 1997) and considers the implications for understanding challenge and threat in sport. For example, rather than see challenge and threat as opposite ends of a single bipolar continuum, the ESM implies that individuals could be (1) challenged, (2) threatened, (3) challenged and threatened, or (4) neither challenged or threatened by a particular stimulus. From this perspective it could be argued that the appraisal of some sport situations as both challenging and threatening could be advantageous, whereas the current literature seems to imply that the appraisal of stress as a threat is maladaptive for performance. In drawing upon the ESM, we outline the Evaluative Space Approach to Challenge and Threat and provide several testable hypotheses for advancing understanding of challenge and threat (in sport). We also outline a number of cardiovascular and experiential measures that can be used to examine these hypotheses. In sum, this paper provides a significant theoretical, empirical and practical contribution to our understanding of challenge and threat (in sport). (shrink)

This article suggests that methodological and conceptual advancements in affective sciences militate in favor of adopting an appraisal-driven componential approach to further investigate the emotional brain. Here we propose to operationalize this approach by distinguishing five functional networks of the emotional brain: the elicitation network, the expression network, the autonomic reaction network, the action tendency network, and the feeling network, and discuss these networks in the context of the affective neuroscience literature. We also propose that further investigating the “appraising brain” (...) is the royal road to better understand the elicitation network, and may be key to revealing the neural causal mechanisms underlying the emotion process as a whole. (shrink)

Theories of the structure of affect make competing predictions about whether people can feel happy and sad at the same time. Considerable evidence that happiness and sadness can co-occur has accumulated in the past 15 years, but holes in the case remain. I describe those holes and suggest strategies for testing them in future research. I also explore the possibility that the case may never be closed, in part because the competing hypotheses may not be entirely falsifiable. Fortunately, hypotheses need (...) not be falsifiable to be useful. Research on mixed emotions has been generative and the body of research will continue to shed light on the structure of affect. (shrink)