Self-discrepancy theory (SDT) is a model of the relations between the self and affect which has been applied to the study of different types of psychopathology including depression, anxiety, and eating disorders. Although the theory itself is compatible with a transdiagnostic perspective on psychopathology, to date no systematic review of the literature has examined that possibility. We conducted a meta-analysis that synthesized the literature on self-discrepancy and psychopathology across a heterogeneous range of 70 studies. Results showed a small-to-medium association between self-discrepancy and psychopathology that was highly robust and similar in magnitude across domains. Furthermore, self-discrepancy was related to higher levels of a range of negative emotions and lower levels of a range of positive emotions. Meta-regression models showed that the effects were greater for actual:ideal discrepancy compared with actual:ought discrepancy for both depression and anxiety, which was contrary to the tenets of SDT which suggests specific associations between actual:ideal discrepancy and depression and actual:ought discrepancy and anxiety. Measurement type (i.e., idiographic vs. nomothetic) was a significant predictor of the effects for depression and anxiety, such that nomothetic measures evidenced greater associations compared with idiographic measures. Our findings could suggest that self-discrepancy represents a contributory factor related to a number of psychiatric disorders. However, the tenet of SDT suggesting unique associations between actual:ideal and actual:ought discrepancy and anxiety and depression respectively was not supported. Implications are discussed for future research on self-discrepancy and psychopathology including the study of mechanistic frameworks.

Although sleep hygiene is often used for broad sleep health promotion efforts, sleep hygiene education programmes are largely ineffective. These programmes are limited by their lack of a theoretical foundation. Health behaviour theory (HBT) has been used for decades to successfully predict and modify many health behaviours, but its use in the study of sleep health is rare. The purpose of this review is threefold. First, four dominant HBTs will be introduced. Second, the brief literature on HBT and sleep health will be reviewed. Lastly, a translational research agenda will be proposed. The present review concludes that HBT shows potential in both the prediction and modification of sleep health, and that there are several short‐ and long‐ term research goals to advance these efforts.

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It is well established that men are more likely than women to engage in direct competition, but it is unclear if this reflects social structural conditions or evolved predispositions. These hypotheses can be addressed by quantifying competitiveness in sports and testing if the sex difference is decreasing over time in the U.S., a society where social roles have converged. Study 1 assessed participation and the occurrence of relatively fast performances by masters runners (40-74 years old) at recent road races and track meets. Fast performances occurred over 20 times more often at track meets than at road races. Women comprised 55% of finishers at roads races but only 15-28% of finishers at track meets. Thus, the sex difference in masters track participation can serve as a measure of the sex difference in competitiveness. Study 2 used data from national championship meets and yearly rankings lists to test whether the sex difference in masters track participation decreased from 1988-2012. The sex difference decreased overall, but there was no evidence of change since the late 1990s. Therefore, the sex difference in the willingness to engage in direct sports competition appears to reflect both social structural conditions and evolved predispositions.