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Background Despite the clear benefits of vaccination, their uptake against common infectious diseases is suboptimal. In December 2020, vaccines against COVID-19 became available. Purpose To determine factors that predict who will take the COVID-19 vaccine based on a conceptual model. Methods An online survey was administered twice: prior to public vaccination, and after vaccinations were available. Participants were 309 Israelis with initial data and 240 at follow-up. Baseline questionnaires measured intentions to be vaccinated and hypothesized predictors clustered in four categories: background, COVID-19, vaccination, and social factors. Self-reported vaccination uptake was measured at follow-up. Results Sixty-two percent of the sample reported having been vaccinated. Intentions were strongly associated with vaccination uptake and mediated the effects of other predictors on behavior. Eighty-six percent of the variance in vaccination intentions was explained by attitudes toward COVID-19 vaccination, regret for having declined vaccination, trust in vaccination, vaccination barriers, past flu vaccination, perceived social norms, and COVID-19 representations. Conclusions Beliefs related directly to the COVID-19 vaccine explained most of the variance in intentions to vaccinate, which in turn predicted vaccination uptake.

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Objectives. Since behavioural risk factors are the foremost causes of disability and premature mortality, developing new perspectives for understanding them is of utmost importance. This paper describes an innovative approach that conceptualizes healthrelated behaviours as nodes in a weighted network. Design & Methods.Using self-reported data from a representative sample (n = 374), a network of 37 health behaviours was analysed, with the aim of identifying 'central' nodes, that is, behaviours that are likely to co-occur with others and potentially influence them.Results. In line with conservation of resources theory, the analysis indicated that behaviours related to basic physiological needs (nutrition and sleep) were most central. Behaviour centrality also varied across subpopulations: Periodic medical examinations, eating meals regularly, and sleep hygiene were more central among high-compared to low-socio-economic status participants; behaviours related to supportive social relationships and sun protection were more central among women compared to men.Conclusion. By emphasizing behavioural connectivity, the approach applied herein has identified core health behaviours with potentially high impact on healthy lifestyle behaviours. Statement of ContributionWhat is already known on this subject?Many health behaviours are related to each other. Engagement in one health behaviour can affect engagement in other behaviours.

Background Based on models of cross-behavioural associations and the role of past behaviour in predicting behaviour, an association was hypothesized between healthy lifestyle behaviours prior to the COVID-19 pandemic and adherence to coronavirus protective behaviours. Self-assessed health was also examined as a potential moderator. Methods A cross-sectional sample (N = 463) completed online questionnaires during a COVID-19-related lockdown that measured engagement in healthy lifestyle behaviours (e.g., exercising and eating fruits and vegetables), adherence to coronavirus protective behaviours (e.g., wearing a face mask and practicing social distancing), and self-assessed health (subjective evaluation of overall health). Results As predicted, higher engagement in healthy lifestyle behaviours prior to the pandemic was significantly correlated with higher adherence to coronavirus protective behaviours (Pearson r(459) = .308, p < .001). Adherence levels were higher than engagement in healthy lifestyle behaviours, and self-assessed health was related to the latter but not to the former. Moderation was examined using model 1 in PROCESS for SPSS; as expected, the association was stronger among individuals with higher levels of self-assessed health (coefficient 95% CI [.04, .20]). Conclusions The findings highlight cross-behavioural facilitating processes, specifically between lifestyle behaviours and adherence to recommended protective behaviours during the pandemic. They also draw attention to the need to address individuals whose poorer evaluations of their general health might prevent them from implementing their behavioural intentions.