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Our lives have drastically changed during the COVID-19 pandemic. Information and communications technologies (ICTs) have replaced other media as the primary means of work, communication, expression, and entertainment throughout this time. As society's reliance on technology increases throughout and possibly after the pandemic, it is critical to fully understand the multifaceted nature of engagement with technology and develop reliable instruments capable of accurately evaluating its processual nature. Therefore, this study aimed at describing and psychometrically validating a novel instrument to measure the dynamics of engagement with technology, namely the Technology Engagement Scale (TES). Data were collected from a representative sample of 2021 participants in Italy. Results from both the confirmatory analysis and the Rasch model suggested the mono-dimensionality of the 5-item TES. Moreover, empirical ordinal alpha indicated a very good internal consistency. Findings provide also solid evidence for the convergent validity of the proposed instrument. Finally, it emerged that TES levels were able to predict the frequency of online activities during the COVID-19 pandemic. Globally, these findings suggest that the TES could be considered a reliable and valid tool, able to evaluate the complex process of engagement with technology in a simple, quick, and easy-to-administer manner.

COVID-19 exerted a strong impact on the Italian healthcare systems, which in turn resulted in a reduction in the citizens’ trust towards healthcare authorities. Moreover, the focused attention on the typical COVID-19 symptoms (fever, cough) has also impacted the social representation of health priorities, potentially reducing the perceived importance and severity of other symptoms. This study aimed to determine the association of general-practitioner (GP) contact with various symptoms during the COVID-19 pandemic in Cremona, an Italian city at the very epicentre of the pandemic. Between April and June 2020, an anonymous survey was completed by 2161 respondents. Logistic-regression analyses were used to examine the associations of GP contact with sociodemographic characteristics and the presence of symptoms. Of the 2161 respondents (43.5% female, 75.0% aged less than 55 years), 959 (44.4%) reported experiencing various symptoms and 33.3% contacted a GP. GP contact was significantly associated with poor appetite (OR, 2.42; 95% CI 1.63 to 3.62; p < 0.001), taste dysfunctions (OR 1.67; 95% CI 1.20 to 2.34; p < 0.001) and sleepiness during the day (OR 4.15; 95% CI 2.13 to 8.09; p = 0.002). None of the gastrointestinal symptoms resulted in significantly increasing the likelihood of contacting a GP. This study offers a unique observation of citizens’ attitudes and behaviours in early symptom communication/detection during the initial peak of the Italian COVID-19 pandemic.