To date, there has been relatively little published research on the mental health impacts of COVID-19 for the general public at the beginning of the U.S.’ experience of the pandemic, or the factors associated with stress, anxiety, depression, and post-traumatic growth during this time. The current study provides a longitudinal examination of the predictors of self-reported stress, anxiety, depression, and post-traumatic growth for U.S. residents between April and May, 2020, including the influence of demographic, psychosocial, and behavioral factors on these outcomes. The findings indicate that, generally, the early months of the U.S. COVID-19 experience were characterized by a modest negative impact on mental health. Younger adults, people with pre-existing health conditions, and those experiencing greater perceived risk, higher levels of rumination, higher levels of co-rumination, greater social strain, or less social support reported worse mental health. Positive mental health was associated with the adoption of coping strategies, especially those that were forward-looking, and with greater adherence to national health-protection guidelines. The findings are discussed with regard to the current status of health-protective measures and mental health in the U.S., especially as these impact future management of the on-going pandemic.

A web-based two (preexisting position: correct vs. incorrect) by two (message type: scientific information vs. misinformation) by three (messages) mixed design experimental study was conducted to test confirmation bias as a mechanism underlying the persistence of misinformation on climate change and to examine attitude certainty as a moderator of confirmation bias. Data collected with Qualtrics panels demonstrated robust confirmation bias in message and source perceptions, empathy, and perceived message effectiveness when individuals encountered messages consistent with their preexisting position on climate change, which in turn strengthened their preexisting position. The patterns of biased message processing and post-message position polarization were more extreme among climate change deniers. Attitude certainty significantly intensified polarization of position on climate change.

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We employed the risk information seeking and processing (RISP) model to inform the design of antibiotic stewardship messages aiming at influencing intentions to seek or avoid antibiotic risk information. College-age respondents ( N = 400) from a national sample viewed one of three versions of a RISP-informed message or no message (control group). Relative to the control group, all RISP-informed messages increased perceptions of information insufficiency. The most complete version of the RISP-informed message increased severity perceptions and information seeking intention and decreased information avoidance intention. Approaches to designing antibiotic stewardship messages are recommended accordingly.

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