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Although various demographic and psychosocial factors have been identified as correlates of influenza vaccine hesitancy, factors that promote infectious disease avoidance, such as disgust proneness, have been rarely examined. In two large national U.S. samples (Ns = 475 and 1007), we investigated whether disgust proneness was associated with retrospective accounts of influenza vaccine uptake, influenza vaccine hesitancy, and eventual influenza vaccine uptake, while accounting for demographics and personality. Across both studies, greater age, higher education, working in healthcare, and greater disgust proneness were significantly related to greater likelihood of previously receiving an influenza vaccine. In Study 2, which was a year-long longitudinal project, disgust proneness prospectively predicted influenza vaccine hesitancy and eventual vaccine uptake during the 2020-2021 influenza season. Findings from this project expand our understanding of individual-level factors associated with influenza vaccine hesitancy and uptake, highlighting a psychological factor to be targeted in vaccine hesitancy interventions., Author(s): Natalie J. Shook [sup.1] [sup.2] , Holly N. Fitzgerald [sup.1] , Benjamin Oosterhoff [sup.3] , Eva MacFarland [sup.2] , Baris Sevi [sup.1] Author Affiliations: (1) grid.63054.34, 0000 0001 0860 [...]

It is widely recognized that the United States needs to attract and retain more people in science, technology, engineering, and mathematics (STEM) careers. Intensive undergraduate research experiences (UREs) are one of the few strategies shown to improve longitudinal student interest and persistence in STEM-related career pathways; however, less is known about the underlying process linking activities to positive outcomes. The tripartite integration model of social influences (TIMSI) provides a framework for understanding the social influence processes by which students integrate into STEM careers and culture. The current study used a longitudinal design and latent growth curve modeling to examine and predict the development of scientific research career persistence intentions over the course of an intensive summer URE. The latent growth curve analysis showed that student persistence intentions declined and rebounded over the course of the summer. Furthermore, the positive impact of faculty mentor role modeling on growth trajectories was mediated through internalization of science community values. In addition, project ownership was found to buffer students from the typical trend of declining and rebounding persistence intentions. The TIMSI framework illuminates the contextual features and underlying psychological processes that link UREs to student integration into STEM careers and culture.

Social isolation and disconnectedness increase the risk of worse mental health, which might suggest that preventive health measures (i.e., self-quarantining, social distancing) negatively affect mental health. This longitudinal study examined relations of self-quarantining and social distancing with mental health during the COVID-19 pandemic. A U.S. national sample (N = 1,011) completed eight weekly online surveys from March 20, 2020 to May 17, 2020. Surveys assessed self-quarantining, social distancing, anxiety, and depression. Fixed-effect autoregressive cross-lagged models provided a good fit to the data, allowing for disaggregation of between-person and within-person effects. Significant between-person effects suggested those who engaged in more self-quarantining and social distancing had higher anxiety and depression compared to those who engaged in less social distancing and quarantining. Significant within-person effects indicated those who engaged in greater social distancing for a given week experienced higher anxiety and depression that week. However, there was no support for self-quarantining or social distancing as prospective predictors of mental health, or vice versa. Findings suggest a relationship between mental health and both self-quarantining and social distancing, but further longitudinal research is required to understand the prospective nature of this relationship and identify third variables that may explain these associations. [ABSTRACT FROM AUTHOR]