Social Distancing Behavior Research Articles

Social Distancing, Health Care Disruptions, Telemedicine Use, and Treatment Interruption During the COVID-19 Pandemic in Patients With or Without Autoimmune Rheumatic Disease.

BackgroundWe aimed to compare concerns, social distancing, health care disruptions, and telemedicine use in patients with autoimmune rheumatic disease (ARD) and non‐ARD and to evaluate factors associated with immunomodulatory medication interruptions.MethodsPatients in a multistate community rheumatology practice network completed surveys from April 2020 to May 2020. Adults with common ARD (rheumatoid arthritis, spondyloarthritis, systemic lupus erythematosus) or non‐ARD (gout, osteoarthritis, osteoporosis) were evaluated. Concerns about coronavirus disease 2019 (COVID‐19), social distancing, health care disruptions, and telemedicine use were compared in patients with ARD versus non‐ARD, adjusting for demographics, rural residence, and zipcode‐based measures of socioeconomic status and COVID‐19 activity. Factors associated with medication interruptions were assessed in patients with ARD.ResultsSurveys were completed by 2319/36 193 (6.4%) patients with non‐ARD and 6885/64 303 (10.7%) with ARD. Concerns about COVID‐19 and social distancing behaviors were similar in both groups, although patients receiving a biologic or Janus kinase (JAK) inhibitor reported greater concerns and were more likely to avoid friends/family, stores, or leaving the house. Patients with ARD were less likely to avoid office visits (45.2% vs. 51.0%, odds ratio [OR] 0.79 [0.70‐0.89]) with similar telemedicine use. Immunomodulatory medications were stopped in 9.7% of patients with ARD, usually (86.9%) without a physician recommendation. Compared with patients with an office visit, the likelihood of stopping medication was higher for patients with a telemedicine visit (OR 1.54 [1.19‐1.99]) but highest for patients with no visits (OR 2.26 [1.79‐2.86]).ConclusionPatients with ARD and non‐ARD reported similar concerns about COVID‐19 and similar social distancing behaviors. Missed office visits were strongly associated with interruptions in immunomodulatory medication.

The perspective of geography education students on the implementation of online learning during covid-19 pandemic

The spread of the COVID -19 outbreak does not only have an impact on social and economic aspects. The education process in schools and universities has also been severely affected by this outbreak. To overcome the obstacles in the educational process, concrete solutions are needed. One solution is to implement an online learning system by utilizing existing technology. The purpose of this research was to analyze an overview of the implementation of online learning in the Geography Education Department, LambungMangkurat University. This research used the qualitative method. The research subjects are Geography Education students, Lambung Mangkurat University who take online learning. Data collection through in-depth interviews using the google meet application. Data analysis used interactive analysis by Miles and Huberman. The results showed: students already have basic facilities to participate in online learning; implementation of online learning has flexibility in time and motivates students to be independent and learn more actively; the implementation of online learning can anticipate the spread of COVID-19 in the campus environment because it automatically implements social and physical distancing; The challenges involved in implementing online learning are the cost of buying an internet quota and no internet network (especially in rural areas). The outcomes of this research encourage the emergence of social distancing behavior and minimize the possibility of a crowd of students on campus.

Psychological Predictors of Precautionary Behaviors in Response to COVID-19: A Structural Model.

The first lines of defense during an epidemic are behavioral interventions, including stay-at-home measures or precautionary health training, aimed at reducing contact and disease transmission. Examining the psychosocial variables that may lead to greater adoption of such precautionary behaviors is critical. The present study examines predictors of precautionary practices against coronavirus disease 2019 (COVID-19) in 709 Mexican participants from 24 states. The study was conducted via online questionnaire between the end of March and the beginning of April 2020, when the pandemic response was in its initial stages in Mexico. The instrument included demographic items, as well as scales assessing COVID-19-resembling symptoms, empathy, impulsivity, anhedonic depression, general health practices, alcohol consumption, and COVID-19-associated precautionary behaviors. Most participants reported adopting limited social distancing or other precautionary behaviors against COVID-19. The results of a structural equation model demonstrated that the presence of COVID-19 symptoms was related to impulsivity and general health behaviors. However, no direct association between precautionary behaviors and the presence of COVID-19 symptoms was found. In turn, precautionary behaviors were more prevalent among participants who reported higher empathy and general health behaviors and were inhibited indirectly by impulsivity via alcohol consumption. Furthermore, the model suggests that anhedonic depression symptoms have a negative indirect effect on precautionary behaviors via general health behaviors. Finally, impulsivity showed a negative direct effect on general health behavior. These results highlight the role that general physical health and mental health play on precautionary behavior and the critical importance of addressing issues such as depression, general health behaviors, and impulsivity in promoting safe actions and the protection of self and others.

Beliefs about Social Distancing During COVID-19 Stay-At-Home Orders: A Theory-Based Salient Belief Elicitation

Understanding the beliefs about social distancing behaviors is required to inform 2019 coronavirus disease (COVID-19) interventions that are based on theory, research, and evidence. This study investigated the salient beliefs related to social distancing. United States adults (n = 106) recruited from Amazon’s Mechanical Turk completed an online reasoned action approach belief elicitation from April 19 to April 25, 2020. Behavioral beliefs (advantages and disadvantages), normative beliefs (approvers and disapprovers), and control beliefs (facilitators and barriers) related to social distancing were elicited via open-ended questions. A content analysis was performed, and kappa statistics revealed high levels of interrater reliability (α = 0.86-0.96). Results revealed that a perceived salient advantage to social distancing was individual COVID-19 prevention, more so than community prevention. The most cited disadvantage was that social distancing could prevent participants from socially interacting with others, which could negatively impact mental health. Family and friends were the most mentioned approvers, while people who hold conservative ideologies and negative attitudes about COVID-19 were the most frequent disapprovers. Supply accessibility and store policies were the most listed facilitators. Results suggest three implications. First, pandemic-related public health and social marketing campaigns should focus more on individual health benefits than community health benefits. Second, digital public health interventions that address social connectedness and mental health outcomes are critical during pandemics. Third, public health scientists and practitioners should work with local and national media outlets and political leaders to create community-tailored and evidence-based information to increase adherence of mitigation strategies.

Behaviours and attitudes in response to the COVID-19 pandemic: insights from a cross-national Facebook survey

BackgroundIn the absence of medical treatment and vaccination, individual behaviours are key to curbing the spread of COVID-19. Here we describe efforts to collect attitudinal and behavioural data and disseminate insights to increase situational awareness and inform interventions.MethodsWe developed a rapid data collection and monitoring system based on a cross-national online survey, the “COVID-19 Health Behavior Survey”. Respondent recruitment occurred via targeted Facebook advertisements in Belgium, France, Germany, Italy, the Netherlands, Spain, the United Kingdom, and the United States. We investigated how the threat perceptions of COVID-19, the confidence in the preparedness of organisations to deal with the pandemic, and the adoption of preventive and social distancing behaviours are associated with respondents’ demographic characteristics.ResultsWe analysed 71,612 questionnaires collected between March 13-April 19, 2020. We found substantial spatio-temporal heterogeneity across countries at different stages of the pandemic and with different control strategies in place. Respondents rapidly adopted the use of face masks when they were not yet mandatory. We observed a clear pattern in threat perceptions, sharply increasing from a personal level to national and global levels. Although personal threat perceptions were comparatively low, all respondents significantly increased hand hygiene. We found gender-specific patterns: women showed higher threat perceptions, lower confidence in the healthcare system, and were more likely to adopt preventive behaviours. Finally, we also found that older people perceived higher threat to themselves, while all respondents were strongly concerned about their family.ConclusionsRapid population surveys conducted via Facebook allow us to monitor behavioural changes, adoption of protective measures, and compliance with recommended practices. As the pandemic progresses and new waves of infections are a threatening reality, timely insights from behavioural and attitudinal data are crucial to guide the decision-making process.

Safely Social: Promoting and Sustaining Adolescent Engagement in Social Distancing During the COVID-19 Pandemic

PurposeAdolescents are at risk for violating COVID-19 social distancing measures owing to salient developmental needs for autonomy and relatedness. This intensive longitudinal study investigated the initiation and sustainment of adolescents' daily social distancing behaviors. MethodsFocus group and daily-diary approaches were used to collect 6,216 assessments from a nationwide American adolescent sample (n = 444; Mage = 15.1; 40% male; 42% black/African American, 40% white/European American, 10% Latinx, 6% Asian American, 2% Native American) over the course of 14 days at the onset of the COVID-19 pandemic. ResultsWhen adolescents were motivated by preventing others from getting sick, they were more likely to engage in social distancing (same day: B = .50, SE = .09, 95% confidence interval [CI] [.32, .68] p < .001; next day: B = .49, SE = .09, 95% CI [.31, .67] p < .001). Daily social support from friends (same day: B = .04, SE = .02, 95% CI [.01, .08] p < .05; next day: B = .08, SE = .02, 95% CI [.05, .12] p < .001), connectedness with friends via technology (same day: B = .23, SE = .04, 95% CI [.14, .32] p < .001; next day: B = .12, SE = .05, 95% CI [.03, .21] p < .001), and practical knowledge about ways to prevent contracting and transmitting COVID-19 (same day: B = .12, SE = .02, 95% CI [.08, .17] p < .001; next day: B = .05, SE = .02, 95% CI [.01, .10] p < .05) positively predicted adolescents' same- and next-day engagement in social distancing. ConclusionsAdolescents who were motivated by the desire to protect others were more likely to engage in social distancing. In addition, adolescents who learned about preventative health behaviors for mitigating COVID-19, received peer support, and remained virtually connected with friends were more likely to engage in daily social distancing at the onset of the pandemic.

Cigarette and E-Cigarettes Dual Users, Exclusive Users and COVID-19: Findings from Four UK Birth Cohort Studies.

Introduction: The relationship between current cigarette and electronic cigarette (e-cigarette) dual use, exclusive use and COVID-19-related measures are still unclear. This study aims to assess the association between different tobacco use patterns and coronavirus disease 2019 (COVID-19) symptoms, testing, self-reported infection and social distancing behaviors in the United Kingdom (UK). Methods: Data come from the first wave of the Centre for Longitudinal Studies (CLS) COVID-19 survey, comprising four birth cohorts (N = 13,077, aged 20–63 years) surveyed between 2 to 31 May 2020, during the COVID-19 pandemic. Sociodemographic characteristics and COVID-19-related outcomes (symptoms, testing, diagnosis and social distancing behaviors) were compared across different product user groups (non-users, exclusive cigarette users, exclusive e-cigarettes users and dual use) using Cochran–Mantel–Haenszel χ2 test. Multivariable logistic regression models were used to explore associations between COVID-19-related outcomes and different smoking patterns. Results: Across all four cohorts, 12.6% and 4.9% of the respondents were current exclusive cigarette and e-cigarette users, respectively, with approximately 3% of the respondents being dual users. Significant differences in prevalence were observed between different tobacco use patterns and COVID-19 symptoms (p = 0.02), self-reported infection (p = 0.04) and social distancing behaviors (p < 0.001). Current cigarette and e-cigarette dual use was associated with 2.15-fold higher odds for reporting COVID-19 infection (aOR = 2.15; CI [1.15–4.05]). Compliance of social distancing behaviors were the lowest for current dual users (aOR = 0.58; CI [0.41–0.83]) and exclusive cigarette users (aOR = 0.72; CI [0.63–0.92]). Conclusions: The findings highlight dual users’ higher prevalence of having COVID-19 symptoms, infection and incompliance of social distancing behaviors. Self-reported infection was associated with dual product use; dual users and exclusive cigarette users were linked to poor adherence to social distancing behaviors. Smoking cessation support and further monitoring on multiple tobacco use among these populations should be reinforced as preventive measures to tackle the pandemic.

Using psychological science to support social distancing: Tradeoffs between affiliation and disease‐avoidance motivations

AbstractHumans are an intensely social species with a pervasive need for affiliation and social interaction. However, satisfying this fundamental motive comes with risk, including increased exposure to others' communicable pathogens. Consequently, disease mitigation strategies may require humans to downregulate their interest in socialization when pathogenic threat is elevated. Subsequent unsatisfactorily met affiliation needs can result in downregulation of disease avoidance goals in the service of social inclusion, albeit at the cost of putting individuals at greater risk for pathogen exposure. The current review summarizes past work in social and evolutionary psychology demonstrating affiliation and disease‐avoidance motivation tradeoffs. We then apply this research by articulating strategies to support and maintain social distancing behaviors in the face of loneliness, which is of particular importance during pandemic outbreaks such as COVID‐19. Finally, we propose novel and integrative research questions related to affiliation/pathogen‐avoidance tradeoffs.

Measuring voluntary and policy-induced social distancing behavior during the COVID-19 pandemic

Staying home and avoiding unnecessary contact is an important part of the effort to contain COVID-19 and limit deaths. Every state in the United States enacted policies to encourage distancing and some mandated staying home. Understanding how these policies interact with individuals' voluntary responses to the COVID-19 epidemic is a critical initial step in understanding the role of these nonpharmaceutical interventions in transmission dynamics and assessing policy impacts. We use variation in policy responses along with smart device data that measures the amount of time Americans stayed home to disentangle the extent that observed shifts in staying home behavior are induced by policy. We find evidence that stay-at-home orders and voluntary response to locally reported COVID-19 cases and deaths led to behavioral change. For the median county, which implemented a stay-at-home order with about two cases, we find that the response to stay-at-home orders increased time at home as if the county had experienced 29 additional local cases. However, the relative effect of stay-at-home orders was much greater in select counties. On the one hand, the mandate can be viewed as displacing a voluntary response to this rise in cases. On the other hand, policy accelerated the response, which likely helped reduce spread in the early phase of the pandemic. It is important to be able to attribute the relative role of self-interested behavior or policy mandates to understand the limits and opportunities for relying on voluntary behavior as opposed to imposing stay-at-home orders.

The Effects of Perceived Threat and Efficacy on College Students’ Social Distancing Behavior during the COVID-19 Pandemic

This study was conducted to determine the impact of perceived threat and efficacy on college students’ social-distancing behavior during COVID-19 pandemic. Guided by the extended parallel process model (EPPM), this longitudinal study included 164 participants who completed a survey at two points in time. Results were consistent with previous theory and research for all danger control hypotheses (i.e., perceived threat predicted fear, fear and self-efficacy predicted intention, and intention predicted future behavior). For fear control, however, results were inconsistent with EPPM predictions, but consistent with previous research (i.e., fear was either unrelated or inversely related to fear control, and efficacy was inversely related to fear control). Overall, the EPPM constructs explained 69% of the variance in intention, 64% of the variance in behavior, 55% of the variance in defensive avoidance, and 20% of the variance in message derogation. The theoretical and practical insights and implications of these findings are discussed.

"Everything is Connected": Health Lifestyles and Teenagers' Social Distancing Behaviors in the COVID-19 Pandemic.

Social distancing during the COVID-19 pandemic requires people to engage in new health behaviors that are public, monitored, and often contested. Parents are typically considered responsible for controlling their children's behavior and instilling norms. We investigated how parents and teens managed teenagers' social distancing behaviors. Analyzing 100 longitudinal (2015-2020), dyadic qualitative interviews with teenagers and their parents in 20 families from two middle-class communities in which social distancing was normative, we found that preexisting health lifestyles were used to link social distancing behaviors to specific identities, norms, and understandings of health. The pandemic presented challenges resulting from contradictory threats to health, differing preferences, and conflicting social judgments. Parents responded to challenges by adhering to community norms and enforcing teens' social distancing behaviors. They drew on preexisting, individualized health lifestyles as cultural tools to justify social distancing messages, emphasizing group distinctions, morality, and worth in ways that perpetuated inequalities.

Association Between Actual and Perceived U.S. COVID-19 Policies and Preventive Behavior.

BackgroundCOVID-19 related policies in the USA can be confusing: some states, but not others, implemented mask mandates mid-pandemic, and states reopened their economies to different levels with different timelines after initial shutdowns.PurposeThe current research asks: How well does the public’s perception of such policies align with actual policies, and how well do actual versus perceived policies predict the public’s mask-wearing and social distancing behaviors during the COVID-19 pandemic?MethodsWe conducted a preregistered cross-sectional study among 1,073 online participants who were representative of the U.S. population on age, gender, and education on Monday–Tuesday, July 20–21, 2020. We asked participants which locations they visited in the past weekend, and their mask-wearing and social distancing behaviors at each location. We also measured participants’ beliefs about their state’s policies on mask mandate and business opening and obtained objective measures of these policies from publicly available data.ResultsPerception about the existence of mask mandate was 91% accurate in states with a mask mandate but only 46% accurate in states without one. Perception of state reopening level did not correlate with policy. It was the perceived but not actual state mask mandate that positively predicted both mask-wearing and social distancing, controlling for state COVID-19 cases, demographic factors, and participants’ numeracy and COVID-19 history.ConclusionsThe public’s perception of state-level mask mandates erred on the side of assuming there is one. Perception of reopening is almost completely inaccurate. Paradoxically, public perception that a mask mandate exists predicts preventive behaviors better than actual mandates.

Evaluating the effects of shelter-in-place policies during the COVID-19 pandemic

We estimate the effects of shelter-in-place (SIP) orders during the first wave of the COVID-19 pandemic. We do not find detectable effects of these policies on disease spread or deaths. We find small but measurable effects on mobility that dissipate over time. And we find small, delayed effects on unemployment. We conduct additional analyses that separately assess the effects of expanding versus withdrawing SIP orders and test whether there are spillover effects in other states. Our results are consistent with prior studies showing that SIP orders have accounted for a relatively small share of the mobility trends and economic disruptions associated with the pandemic. We reanalyze two prior studies purporting to show that SIP orders caused large reductions in disease prevalence, and show that those results are not reliable. Our results do not imply that social distancing behavior by individuals, as distinct from SIP policy, is ineffective.

Message Framing Effects on Individuals' Social Distancing and Helping Behavior During the COVID-19 Pandemic.

This research responds to urgent calls to fill knowledge gaps on COVID-19 (new coronavirus) in communicating social distancing messages to the public in the most convincing ways. The authors explore the effectiveness of framing social distancing messages around prosocial vs. self-interested appeals in driving message compliance and helping behavior. The results show that when a message emphasizes benefits for everyone in society, rather than solely for the individual, citizens find the message more persuasive to engage in social distancing, and also more motivating to help others. The results further demonstrate that the proposed effects are higher for individuals who have a lower locus of control and lower fear of coronavirus as prosocial messages lead them to feel a joint responsibility in protecting from the pandemic. Theoretical and practical implications of the results are discussed.

Personality in a pandemic: Social norms moderate associations between personality and social distancing behaviors

To limit the transmission of the coronavirus disease 2019 (COVID-19), it is important to understand the sources of social behavior for members of the general public. However, there is limited research on how basic psychological dispositions interact with social contexts to shape behaviors that help mitigate contagion risk, such as social distancing. Using a sample of 89,305 individuals from 39 countries, we show that Big Five personality traits and the social context jointly shape citizens' social distancing during the pandemic. Specifically, we observed that the association between personality traits and social distancing behaviors were attenuated as the perceived societal consensus for social distancing increased. This held even after controlling for objective features of the environment such as the level of government restrictions in place, demonstrating the importance of subjective perceptions of local norms.

The Influence of Social Distancing on COVID-19 Mortality in US Counties: Cross-sectional Study.

BackgroundPrevious studies on the impact of social distancing on COVID-19 mortality in the United States have predominantly examined this relationship at the national level and have not separated COVID-19 deaths in nursing homes from total COVID-19 deaths. This approach may obscure differences in social distancing behaviors by county in addition to the actual effectiveness of social distancing in preventing COVID-19 deaths.ObjectiveThis study aimed to determine the influence of county-level social distancing behavior on COVID-19 mortality (deaths per 100,000 people) across US counties over the period of the implementation of stay-at-home orders in most US states (March-May 2020).MethodsUsing social distancing data from tracked mobile phones in all US counties, we estimated the relationship between social distancing (average proportion of mobile phone usage outside of home between March and May 2020) and COVID-19 mortality (when the state in which the county is located reported its first confirmed case of COVID-19 and up to May 31, 2020) with a mixed-effects negative binomial model while distinguishing COVID-19 deaths in nursing homes from total COVID-19 deaths and accounting for social distancing– and COVID-19–related factors (including the period between the report of the first confirmed case of COVID-19 and May 31, 2020; population density; social vulnerability; and hospital resource availability). Results from the mixed-effects negative binomial model were then used to generate marginal effects at the mean, which helped separate the influence of social distancing on COVID-19 deaths from other covariates while calculating COVID-19 deaths per 100,000 people.ResultsWe observed that a 1% increase in average mobile phone usage outside of home between March and May 2020 led to a significant increase in COVID-19 mortality by a factor of 1.18 (P<.001), while every 1% increase in the average proportion of mobile phone usage outside of home in February 2020 was found to significantly decrease COVID-19 mortality by a factor of 0.90 (P<.001).ConclusionsAs stay-at-home orders have been lifted in many US states, continued adherence to other social distancing measures, such as avoiding large gatherings and maintaining physical distance in public, are key to preventing additional COVID-19 deaths in counties across the country.

Reference-free video-to-real distance approximation-based urban social distancing analytics amid COVID-19 pandemic

IntroductionThe rapidly evolving COVID-19 pandemic has dramatically reshaped urban travel patterns. In this research, we explore the relationship between “social distancing,” a concept that has gained worldwide familiarity, and urban mobility during the pandemic. Understanding social distancing behavior will allow urban planners and engineers to better understand the new norm of urban mobility amid the pandemic, and what patterns might hold for individual mobility post-pandemic or in the event of a future pandemic. MethodsThere are still few efforts to obtain precise information on social distancing patterns of pedestrians in urban environments. This is largely attributed to numerous burdens in safely deploying any effective field data collection approaches during the crisis. This paper aims to fill that gap by developing a data-driven analytical framework that leverages existing public video data sources and advanced computer vision techniques to monitor the evolution of social distancing patterns in urban areas. Specifically, the proposed framework develops a deep-learning approach with a pre-trained convolutional neural network to mine the massive amount of public video data captured in urban areas. Real-time traffic camera data collected in New York City (NYC) was used as a case study to demonstrate the feasibility and validity of using the proposed approach to analyze pedestrian social distancing patterns. ResultsThe results show that microscopic pedestrian social distancing patterns can be quantified by using a generalized real-distance approximation method. The estimated distance between individuals can be compared to social distancing guidelines to evaluate policy compliance and effectiveness during a pandemic. Quantifying social distancing adherence will provide decision-makers with a better understanding of prevailing social contact challenges. It also provides insights into the development of response strategies and plans for phased reopening for similar future scenarios.

Partisan Differences in Social Distancing May Originate in Norms and Beliefs: Results from Novel Data

ObjectiveRecent academic work on the coronavirus (COVID‐19) pandemic has established a persistent difference between Democrats and Republicans in social distancing behaviors. We uncover a potential explanation for this difference—social norms and beliefs.MethodsWe use a series of ordinary least squares regression specifications on novel survey data collected in April through June of 2020.ResultsWe find that Democrats are more likely to report social distancing than are Republicans, even after controlling for a range of demographic variables that might otherwise account for differences in social distancing and that these differences are found in partisans’ norms and beliefs around social distancing. Our main analysis shows that the partisan difference in social distancing disappears when we control for social norms and beliefs, suggesting their salience in changing social distancing behaviors.ConclusionOur results contribute to current research focused on mitigating the spread of COVID‐19 by highlighting a mechanism, norms and beliefs, for interventions to target.

"Stay home so this can be over:" A national study of youth perspectives on social distancing during the COVID-19 pandemic.

Social distancing is an important public health recommendation that has been implemented to reduce the spread of COVID-19. Infections are rising among younger populations, but relatively little is known about youth social distancing behavior. Our qualitative study aims to examine youth engagement with social distancing and elucidate the reasons why guidelines are followed and broken. Members of the national MyVoice Text Message Cohort (aged 14–24) were surveyed from April 24 to April 30, 2020, through an open-ended text message poll. Responses were inductively coded and analyzed with descriptive statistics. Of the 944 youth who responded (response rate = 81.2%), 95% self-reported social distancing. However, 62% recalled instances of themselves or others breaking the guidelines and 19% expressed misconceptions about the rules. Notably, 14% of youth said they would encourage their friends to social distance by telling them it will accelerate a return to normal life. Feelings of social isolation were the most frequently cited (55%) negative impact of social distancing. Overall, responses from youth indicate significant variation in the interpretation of social distancing guidelines. Public health communications may need to address several critical misconceptions which impact the social distancing behaviors of youth. Further, safe methods for youth to interact with peers during periods of social distancing are necessary to prevent mental health impacts and to ensure adherence to social distancing guidelines.

Knowledge, socio-cognitive perceptions and the practice of hand hygiene and social distancing during the COVID-19 pandemic: a cross-sectional study of UK university students

BackgroundDuring the first wave of the COVID-19 pandemic, social distancing and hand hygiene have been the primary means of reducing transmission in the absence of effective treatments or vaccines, but understanding of their determinants is limited. This study aimed to investigate knowledge and socio-cognitive perceptions, and their associations with such protective behaviours, in UK university students.MethodsA cross-sectional online survey of 293 students was undertaken on 13 May 2020. Survey questions addressed demographics, knowledge of the disease and effectiveness of the protective measures, risk perception, socio-cognitive perceptions (e.g. attitude, social support, and self-efficacy), habit, time factors and trust, as well as the hand hygiene and social distancing behaviours. Multiple linear regression was used to identify the strongest associations of potential determinants with behaviour.ResultsParticipants reported high levels of social distancing with 88.9% answering “Mostly” or “Always” for every activity, but only 42.0% reporting the same for all hand hygiene activities. Knowledge of the effectiveness of each activity in preventing transmission was high, with 90.7% and 93.5% respectively identifying at least 7 of 8 hand hygiene or 9 of 10 social distancing activities correctly. Habit (β = 0.39, p = 0.001) and time factors (β = 0.28, p = 0.001) were the greatest contributors to unique variance in hand hygiene behaviour, followed by ethnicity (β = − 0.13, p = 0.014) and risk perception (β = 0.13, p = 0.016). For social distancing behaviour, the determinants were self-efficacy (β = 0.25, p < 0.001), perceived advantages (β = 0.15, p = 0.022), trust in policy (β = 0.14, p = 0.026) and gender (β = − 0.14, p = 0.016). Regression models explained 40% hand hygiene and 25% social distancing variance.ConclusionsThis study indicated that communications about effectiveness of hand hygiene and social distancing behaviours had been effective in terms of knowledge acquisition. However, in the light of likely second waves of COVID-19, attention to maintaining social distancing behaviour and improving hand hygiene behaviour may need to address more difficult areas of changing habits, overcoming time factors and building trust, as well as interventions to increase self-efficacy and address risk perception concerns.