Inferring Behavior From Partial Social Information Plays Little or No Role in the Cultural Transmission of Adaptive Traits

Many human cultural traits become increasingly beneficial as they are repeatedly transmitted, thanks to an accumulation of modifications made by successive generations. But how do later generations typically avoid modifications which revert traits to less beneficial forms already sampled and rejected by earlier generations? And how can later generations do so without direct exposure to their predecessors' behavior? One possibility is that learners are sensitive to cues of non-random production in others' behavior, and that particular variants (e.g., those containing structural regularities unlikely to occur spontaneously) have been produced deliberately and with some effort. If this non-random behavior is attributed to an informed strategy, then the learner may infer that apparent avoidance of certain possibilities indicates that these have already been sampled and rejected. This could potentially prevent performance plateaus resulting from learners modifying inherited behaviors randomly. We test this hypothesis in four experiments in which participants, either individually or in interacting dyads, attempt to locate rewards in a search grid, guided by partial information about another individual's experience of the task. We find that in some contexts, valid inferences about another's behavior can be made from partial information, and these inferences can be used in a way which facilitates trait adaptation. However, the benefit of these inferences appears to be limited, and in many contexts—including some which have the potential to make inferring the experience of another individual easier—there appears to be no benefit at all. We suggest that inferring previous behavior from partial social information plays a minimal role in the adaptation of cultural traits.     

Job Demands and Resources among Healthcare Professionals during Virus Pandemics: A Review and Examination of Fluctuations in Mental Health Strain during COVID-19

The present article examines how job demands and resources are related to indices of strain among healthcare professionals during virus pandemics. The article also presents the results of a study examining the relationships between COVID-19 demands (e.g., lack of personal protective equipment, concerns about infecting family members), resources (meaningful work, social support), and mental health strain within a sample of emergency medicine personnel over six consecutive weeks. COVID-19-related demands and hours worked were hypothesized to be positively related to mental health strain, whereas meaningful work and social support were hypothesized to be negatively related to mental health strain. Hours worked the prior week were hypothesized to exacerbate the positive relationships between COVID-19 demands and mental health strain, whereas the resources of meaningful work and social support were expected to buffer the relationships. Multilevel models controlling for mental health strain the prior week revealed that COVID-19 demands, along with hours worked, were each related to higher mental health strain during the week. Hours worked magnified the within-person relationship between personal COVID-19 demands and mental health strain. In contrast to the hypotheses, social support and meaningful work were not related to mental health strain. Discussion focuses on the implications of the findings for healthcare professionals.     

A longitudinal study of the relationship between depressive symptoms and cigarette use among African American adolescents.

The relationship between depressive symptoms and cigarette use was examined in a sample of 623 African Americans during adolescence and transition to adulthood by using hierarchical linear modeling. Participants in the study were interviewed across 6 occasions over 8 years. Results indicate that depressive symptoms tend to decrease over time, whereas cigarette use tends to increase for both female and male adolescents. The results also suggest that depressive symptoms predict later cigarette use. Male adolescents who reported more depressive symptoms were more likely than female adolescents to use cigarettes as a way to cope with their mood. These results suggest that depressive symptoms may be important to consider when developing smoking cessation interventions for African American youth.