Aim Understanding COVID-19 risk perceptions and their impact on behaviour can improve the effectiveness of public health strategies. Prior evidence suggests that, when people perceive uncontrollable risks to their health, they are less likely to engage in healthful behaviour. This article aims to understand the extent to which COVID-19 is perceived as an uncontrollable risk, and to assess whether this perceived risk is associated with health behaviour. Subject and methods We surveyed a nationally representative sample of 496 participants during the first UK lockdown. We assessed perceptions of COVID-19-related risk, self-reported adherence to infection control measures recommended by the UK Government, and general health behaviours. We predicted that increased perceived extrinsic mortality risk (the portion of mortality risk perceived to be uncontrollable) would disincentivise healthy behaviour. Results Perceived threat to life was the most consistent predictor of reported adherence to infection control measures. Perceived extrinsic mortality risk was found to have increased due to the pandemic, and was associated with lower reported adherence to Government advice on diet, physical activity, and smoking. Conclusions Our findings suggest that health messages that highlight threat to life may be effective in increasing adherence to infection control, but may also lead to a reduction in health-promoting behaviours. We suggest that messages that highlight threat to life should be accompanied by statements of efficacy. Further, messages evoking feelings of concern for others may be effective in promoting compliance with anti-infection measures, without the potential for the unwelcome side-effect of discouraging healthy behaviour.

BackgroundThe impacts of COVID-19 are not evenly distributed in society. Understanding the differences in the experiences and perceptions of COVID-19 related risk may help to improve the effectiveness of public health strategies in the future. MethodWe surveyed a nationally representative sample of 496 participants during the strictest period of the UK lockdown. We recorded data to assess people's experiences during the pandemic, information seeking behaviours, and perceptions of COVID-19 related risk. ResultsWe found that key workers reported greater exposure to COVID-19 and more extensive experience of the virus within their social circles. Those key workers who perceived their personal protective equipment to be more effective felt that the virus was less of a threat to their lives. Trust in COVID-19 information was highest in information from the UK Government and NHS, and lowest in information from social media. We also found that men reported lower levels of perceived threat to life from the virus than women and lower occupational class was associated with higher levels of perceived risk amongst those in employment. ConclusionsOur findings highlight that demographic differences in actual risk from COVID-19 are not always accurately reflected by differences in perceived risk. Key workers who feel that they are insufficiently protected by their PPE experience increased levels of fear, which may lead to negative health behaviours. This highlights the need for employers to ensure that key workers feel they are adequately protected from COVID-19. Our findings highlight some of the inequalities in the distribution of risk across society and discuss demographic differences in perceptions of risk. R 2 = .084** 95% CI[.02,.11] Note. A significant b-weight indicates the semi-partial correlation is also significant. b represents unstandardized regression weights. sr 2 represents the semi-partial correlation squared. LL and UL indicate the lower and upper limits of a confidence interval, respectively. * indicates p < .05. ** indicates p < .01.

Using digital technology to share patient-generated health data has the potential to improve the self-management of multiple long-term health conditions. Sharing these data can allow patients to receive additional support from healthcare professionals and peer communities, as well as enhance their understanding of their own health. A deeper understanding of the concerns raised by those living with long-term health conditions when considering whether to share health data via digital technology may help to facilitate effective data sharing practices in the future. The aim of this review is to identify whether trust, identity, privacy and security concerns present barriers to the successful sharing of patient-generated data using digital technology by those living with long-term health conditions. We also address the impact of stigma on concerns surrounding sharing health data with others. Searches of CINAHL, PsychInfo and Web of Knowledge were conducted in December 2019 and again in October 2020 producing 2,581 results. An iterative review process resulted in a final dataset of 23 peer-reviewed articles. A thorough analysis of the selected articles found that issues surrounding trust, identity, privacy and security clearly present barriers to the sharing of patient-generated data across multiple sharing contexts. The presence of enacted stigma also acts as a barrier to sharing across multiple settings. We found that the majority of literature focuses on clinical settings with relatively little attention being given to sharing with third parties. Finally, we suggest the need for more solution-based research to overcome the discussed barriers to sharing.

Background Investigating perceptions of control over mortality risk may be fundamental to understanding health behaviours and tackling socioeconomic gradients in health. Few studies have explored perceptions of control over different causes of death and there is a lack of qualitative risk research. Our aim was to examine participants’ perceptions of control over potential causes of death and the sources that inform perceptions of risk. Method We conducted semi-structured interviews with 24 participants (14 female and 10 male) and conducted a template analysis to analyse the transcripts. Findings We identified six themes to represent participants’ perceptions of control over potential mortality risks and the sources that inform these perceptions: Health-Related Mortality Risks, External Causes of Risk, Finding Balance, Family Medical History, Online Sources of Risk and Health-Related Information, and Health Misinformation . Dying from heart disease was broadly reported as being a controllable risk, whereas cancer was mostly discussed as uncontrollable. Gender-specific cancers were perceived as posing a significant risk to life, however controlling this risk was discussed in terms of screening and treatment, not prevention. Family medical history was discussed as an informative source for longevity predictions, but less so for specific causes of death. Most risk information is retrieved from ‘Dr Google’, though trusted sources, such as NHS websites, are used for validation. Health misinformation online was seen as a problem experienced by other people, rather than the individual. Conclusions Causal pathways between behaviours and specific cancers may not be obvious to individuals. Messages emphasising the broader links between diet, alcohol and general cancer risk may highlight the controllability of cancer risk through improved health behaviours. Furthermore, given the rise in health misinformation, and the belief that it is other people not ourselves that are typically susceptible to believing misinformation online, further attempts are needed to combat this growing ‘infodemic’.

Background Understanding COVID-19 risk perceptions and their impact on behaviour can improve the effectiveness of public health strategies in the future. Prior evidence suggests that, when people perceive uncontrollable risks to their health, they are less likely to make efforts to protect their health in those ways which they can control (e.g. through diet, exercise, and limiting alcohol intake). It is therefore important to understand the extent to which the threat of COVID-19 is perceived to be an uncontrollable risk, and to assess whether this perceived risk is associated with differences in health behaviour. MethodsWe surveyed a nationally representative sample of 496 participants, shortly after the peak of the pandemic in the UK. We collected data to assess people’s perceptions of COVID-19-related risk, and how these perceptions were associated with behaviours. We examined self-reported adherence to behaviours recommended by the UK Government and National Health Service to prevent the spread of the virus, as well as more general health behaviours. We predicted that increased perceived extrinsic mortality risk (the portion of a person’s mortality risk which they perceive to be uncontrollable) would disincentivise healthy behaviour. ResultsPerceived threat to life was found to be the most consistent predictor of reported adherence to measures designed to prevent the spread of infection. Perceived extrinsic mortality risk was found to have increased due to the pandemic, and was also associated with lower reported adherence to Government advice on diet and physical activity, as well as smoking. ConclusionsOur findings suggest that promoting a message that highlights threat to life may be effective in raising levels of adherence to measures of infection control, but may also have unintended consequences, leading to a reduction in health-promoting behaviours. We suggest that messages that highlight threat to life should be accompanied by statements of efficacy, and that messages evoking feelings of concern for others may also be effective in promoting compliance with anti-infection measures.