8 research outputs found
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The Role of Risk Perceptions and Affective Consequences in COVID-19 Protective Behaviors.
BackgroundSlowing the spread of the novel coronavirus (COVID-19) requires behavioral changes such as physical distancing (e.g., staying a 6-foot distance from others, avoiding mass gatherings, reducing houseguests), wearing masks, reducing trips to nonessential business establishments, and increasing hand washing. Like other health behaviors, COVID-19 related behaviors may be related to risk representations. Risk representations are the cognitive responses a person holds about illness risk such as, identity (i.e., label/characteristics of risk), cause (i.e., factors causing condition), timeline (i.e., onset/duration of risk), consequences (i.e., intrapersonal/interpersonal outcomes), behavioral efficacy (i.e., if and how the condition can be controlled/treated), and illness risk coherence (i.e., extent to which representations, behaviors, and beliefs are congruent). The current study applies the Common-Sense Model of Self-Regulation (CSM-SR) to evaluate how risk representations may relate to COVID-19 protective and risk behaviors.MethodsParticipants include 400 workers from Amazon's Mechanical Turk aged ≥ 18 years and US residents. Participants completed an online survey measuring risk representations (B-IPQ) and COVID-19 related behaviors, specifically, physical distancing, hand washing, and shopping frequency.ResultsRisk coherence, consequences, timeline, emotional representation, and behavioral efficacy were related to risk and protective behaviors.ConclusionsRisk representations vary in their relationship to COVID-19 risk and protective behaviors. Implications include the importance of coherent, targeted, consistent health communication, and effective health policy in mitigating the spread of COVID-19
Recommended from our members
The Role of Risk Perceptions and Affective Consequences in COVID-19 Protective Behaviors.
BackgroundSlowing the spread of the novel coronavirus (COVID-19) requires behavioral changes such as physical distancing (e.g., staying a 6-foot distance from others, avoiding mass gatherings, reducing houseguests), wearing masks, reducing trips to nonessential business establishments, and increasing hand washing. Like other health behaviors, COVID-19 related behaviors may be related to risk representations. Risk representations are the cognitive responses a person holds about illness risk such as, identity (i.e., label/characteristics of risk), cause (i.e., factors causing condition), timeline (i.e., onset/duration of risk), consequences (i.e., intrapersonal/interpersonal outcomes), behavioral efficacy (i.e., if and how the condition can be controlled/treated), and illness risk coherence (i.e., extent to which representations, behaviors, and beliefs are congruent). The current study applies the Common-Sense Model of Self-Regulation (CSM-SR) to evaluate how risk representations may relate to COVID-19 protective and risk behaviors.MethodsParticipants include 400 workers from Amazon's Mechanical Turk aged ≥ 18 years and US residents. Participants completed an online survey measuring risk representations (B-IPQ) and COVID-19 related behaviors, specifically, physical distancing, hand washing, and shopping frequency.ResultsRisk coherence, consequences, timeline, emotional representation, and behavioral efficacy were related to risk and protective behaviors.ConclusionsRisk representations vary in their relationship to COVID-19 risk and protective behaviors. Implications include the importance of coherent, targeted, consistent health communication, and effective health policy in mitigating the spread of COVID-19
Autoreactive T effector memory differentiation mirrors β cell function in type 1 diabetes
In type 1 diabetes, cytotoxic CD8+ T cells with specificity for β cell autoantigens are found in the pancreatic islets, where they are implicated in the destruction of insulin-secreting β cells. In contrast, the disease relevance of β cell–reactive CD8+ T cells that are detectable in the circulation, and their relationship to β cell function, are not known. Here, we tracked multiple, circulating β cell–reactive CD8+ T cell subsets and measured β cell function longitudinally for 2 years, starting immediately after diagnosis of type 1 diabetes. We found that change in β cell–specific effector memory CD8+ T cells expressing CD57 was positively correlated with C-peptide change in subjects below 12 years of age. Autoreactive CD57+ effector memory CD8+ T cells bore the signature of enhanced effector function (higher expression of granzyme B, killer-specific protein of 37 kDa, and CD16, and reduced expression of CD28) compared with their CD57– counterparts, and network association modeling indicated that the dynamics of β cell–reactive CD57+ effector memory CD8+ T cell subsets were strongly linked. Thus, coordinated changes in circulating β cell–specific CD8+ T cells within the CD57+ effector memory subset calibrate to functional insulin reserve in type 1 diabetes, providing a tool for immune monitoring and a mechanism-based target for immunotherapy