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Emotions research is now routinely grounded in evolution, but explicit evolutionary analyses of emotions remain rare. This article considers the implications of natural selection for several classic questions about emotions and emotional disorders. Emotions are special modes of operation shaped by natural selection. They adjust multiple response parameters in ways that have increased fitness in adaptively challenging situations that recurred over the course of evolution. They are valenced because selection shapes special processes for situations that have influenced fitness in the past. In situations that decrease fitness, negative emotions are useful and positive emotions are harmful. Selection has partially differentiated subtypes of emotions from generic precursor states to deal with specialized situations. This has resulted in untidy emotions that blur into each other on dozens of dimensions, rendering the quest for simple categorically distinct emotions futile. Selection has shaped flexible mechanisms that control the expression of emotions on the basis of an individual's appraisal of the meaning of events for his or her ability to reach personal goals. The prevalence of emotional disorders can be attributed to several evolutionary factors. (Contains 4 figures.)

Background and objectives Universities throughout the USA increasingly offer undergraduate courses in evolutionary medicine (EvMed), which creates a need for pedagogical resources. Several resources offer course content (e.g. textbooks) and a previous study identified EvMed core principles to help instructors set learning goals. However, assessment tools are not yet available. In this study, we address this need by developing an assessment that measures students' ability to apply EvMed core principles to various health-related scenarios. Methodology The EvMed Assessment (EMA) consists of questions containing a short description of a health-related scenario followed by several likely/unlikely items. We evaluated the assessment's validity and reliability using a variety of qualitative (expert reviews and student interviews) and quantitative (Cronbach's α and classical test theory) methods. We iteratively revised the assessment through several rounds of validation. We then administered the assessment to undergraduates in EvMed and Evolution courses at multiple institutions. Results We used results from the pilot to create the EMA final draft. After conducting quantitative validation, we deleted items that failed to meet performance criteria and revised items that exhibited borderline performance. The final version of the EMA consists of six core questions containing 25 items, and five supplemental questions containing 20 items. Conclusions and implications The EMA is a pedagogical tool supported by a wide range of validation evidence. Instructors can use it as a pre/post measure of student learning in an EvMed course to inform curriculum revision, or as a test bank to draw upon when developing in-class assessments, quizzes or exams. [ABSTRACT FROM AUTHOR]

Although much depression may be dysfunctional, the capacity to experience normal depressive symptoms in response to certain adverse situations appears to have been shaped by natural selection. If this is true, then different kinds of situations may evoke different patterns of depressive symptoms that are well suited to solving the adaptive challenges specific to each situation. The authors called this the situation-symptom congruence hypothesis. They tested this hypothesis by asking 445 participants to identify depressive symptoms that followed a recent adverse situation. Guilt, rumination, fatigue, and pessimism were prominent following failed efforts; crying, sadness, and desire for social support were prominent following social losses. These significant differences were replicated in an experiment in which 113 students were randomly assigned to visualize a major failure or the death of a loved one. Keywords: depression subtypes, depressive symptoms, evolutionary psychology, psychopathology, Darwinian psychiatry

Based on recent applications of attachment theory to religion, the authors predicted that the loss of a spouse would cause widowed individuals to increase the importance of their religious/ spiritual beliefs. This hypothesis was examined using the Changing Lives of Older Couples sample from which preloss measures of religiosity were available for widowed individuals and matched controls. A total of 103 widowed individuals provided follow-up data, including reports of religious beliefs and grief, at 6 months, 24 months, and 48 months after the loss. Results indicated that widowed individuals were more likely than controls to increase their religious/spiritual beliefs. This increase was associated with decreased grief but did not influence other indicators of adjustment such as depression. Finally, insecure individuals were most likely to benefit from increasing the importance of their beliefs. Results are discussed in terms of the potential value of applying psychological theory to the study of religion. Keywords: religion; bereavement; widowhood; attachment theory; grief

The vast majority of bereavement research is conducted after a loss has occurred. Thus, knowledge of the divergent trajectories of grieving or their antecedent predictors is lacking. This study gathered prospective data on 205 individuals several years prior to the death of their spouse and at 6- and 18-months postloss. Five core bereavement patterns were identified: common grief, chronic grief, chronic depression, improvement during bereavement, and resilience. Common grief was relatively infrequent, and the resilient pattern most frequent. The authors tested key hypotheses in the literature pertaining to chronic grief and resilience by identifying the preloss predictors of each pattern. Chronic grief was associated with preloss dependency and resilience with preloss acceptance of death and belief in a just world.