Data Brief. 2023 Oct 24;51:109723. doi: 10.1016/j.dib.2023.109723. eCollection 2023 Dec.
This dataset was created with the primary objective of elucidating the intricate relationship between the incidence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) re-infections and the pre-illness vaccination profile and types concerning alterations in sports-related physical activity (PA) after SARS-CoV-2 infection among adults. A secondary objective encompassed a comprehensive statistical analysis to explore the influence of three key factors-namely, Vaccination profile, Vaccination types, and Incidence of SARS-CoV-2 re-infections-on changes in PA related to exercise and sports, recorded at two distinct time points: one to two weeks prior to infection and one month after the last SARS-CoV-2 infection. The sample population (n = 5829), drawn from Hellenic territory, adhered to self-inclusion and exclusion criteria. Data collection spanned from February to March 2023 (a two-month period), involving the utilization of the Active-Q (an online, interactive questionnaire) to automatically assess weekly habitual sports-related PA among adults both before and after their last SARS-CoV-2 infection. The questionnaire also captured participant characteristics, pre-illness vaccination statuses (i.e., unvaccinated, partially vaccinated, fully vaccinated, and vaccine types), and occurrences of SARS-CoV-2 re-infections. The dataset sheds light on two noteworthy phenomena: (i) the intricate interplay between post-acute SARS-CoV-2 infection and a decline in sports-related physical activity (-27.6 ± 0.6%, 95%CI: -26.1 – -29.1), influenced by the pre-illness vaccination profile factor (p = 0.040); and (ii) the divergence in sports-related physical activity decline between partially vaccinated (-38.2 ± 0.7%, 95%CI: -35.3 – -41.1, p = 0.031) and fully vaccinated respondents (-19.2 ± 0.5%, 95%CI: -17.2 – -21.2). These phenomena underscore the imperative for tailored interventions and further investigation to promote the resumption of physical activity and mitigate long-term repercussions. Furthermore, this dataset enriches our understanding of the dynamics of sports-related physical activity and provides valuable insights for public health initiatives aiming to address the consequences of COVID-19 on sports-related physical activity levels. Consequently, this cross-sectional dataset is amenable to a diverse array of analytical methodologies, including univariate and multivariate analyses, and holds potential relevance for researchers, leaders in the sports and medical sectors, and policymakers, all of whom share a vested interest in fostering initiatives directed at reinstating physical activity and mitigating the enduring ramifications of post-acute SARS-CoV-2 infection.