Consequences of social distancing during the COVID-19 pandemic on the increase in perceived pain of students and professors from higher education institutions: A cross-sectional study.

BACKGROUND: Social distancing was implemented worldwide due to the coronavirus (COVID-19) pandemic. This impacted physical activity levels and increased the time spent in sedentary behaviors which may contributed to the emergence of increased musculoskeletal complaints. OBJECTIVE: To assess the consequences of social distancing for the increase in perceived pain of students and professors from higher education institutions. METHODS: One thousand two hundred and fifty-four participants responded to an online survey containing sociodemographic information and questions related to daily habits, physical activity profile, and musculoskeletal pain before and during the pandemic. Levels of concentration, nervousness, productivity, and visual fatigue were also assessed. The primary outcome was presence of perceived pain before and during the pandemic, dichotomized between those with and without increased pain during the pandemic. RESULTS: Perceived pain increased during the pandemic (p < 0.001) and was associated with females (p = 0.023; PR = 1.16; 95% CI = 1.02-1.32), income up to one minimum wage (p = 0.039; PR = 1.20; 95% CI = 1.01-1.42), no physical activity practice (p = 0.006; PR = 1.22; 95% CI = 1.06-1.40), long time in sedentary behavior (p = 0.013; PR = 3.07; 95% CI = 1.27-7.43), and electronic device usage for > 6 hours (p = 0.041; PR = 1.44; 95% CI = 1.02-2.06). Nervousness (p = 0.001) and visual fatigue (p = 0.001) increased, whereas concentration (p = 0.001) and productivity (p = 0.001) reduced during the pandemic. CONCLUSIONS: Reduced physical activity practice and increased time in sedentary behavior and electronic device usage during the pandemic were associated with increased musculoskeletal pain in students and professors from higher education institutions. Decreased concentration and productivity and increased nervousness and visual fatigue were also observed during the pandemic.

Dissemination of COVID-19 in inland cities of Northeastern Brazil.

BACKGROUND: SARS-CoV-2 causes the new coronavirus disease (COVID-19) and it is weakening all health systems. Therefore, the most vulnerable populations are exposed to harmful consequences, such as illness and death. Thus, this study aims to estimate the temporal effect of COVID-19 dissemination on social indicators of the Northeastern region of Brazil. METHODS: An ecological time-series study was developed with the following: diagnosed cases of COVID-19 in the largest inland cities of Northeast Brazil, Human Development Index (HDI), poverty incidence, and Gini coefficient. Cities with high HDI, poverty rate, and Gini presented a larger number of patients. RESULTS: It was observed by evaluating case trends that COVID-19 spreads unevenly in inland cities of the Northeastern region of Brazil. CONCLUSIONS: In this sense, we emphasize that regional health managers should support small cities with vulnerable population and social assistance.

Primary health care and social isolation against COVID-19 in Northeastern Brazil: Ecological time-series study.

BACKGROUND: Brazil is witnessing a massive increase of corona virus disease (COVID-19). Its peculiar primary health care (PHC) system faces a burden due to the contagion occurring in the community environment. Then, the aim is to estimate the effect of the coverage of primary health care and social isolation on the evolution of confirmed cases and deaths by COVID-19, controlling sociodemographic, economic and health system aspects. METHODS: A time series design was designed with data on diagnosed cases of COVID-19 and their deaths as outcomes in the capital cities of the Northeast region of Brazil. Independent variables such as PHC coverage, hospital beds, social isolation, demographic density, Gini index and other indicators were analyzed. A Autoregressive Generalized Linear Model method was applied for model the relationship. RESULTS: We identified an exponential growth of cases (y = 0.00250.71x; p-value<0,001). However, there is a high variability in the occurrence of outcomes. PHC coverage≥75% (χ2 = 9.27; p-value = 0.01) and social isolation rate (χ2 = 365.99; p-value<0.001) proved to be mitigating factors for the spread of COVID-19 and its deaths. Capitals with hospital beds ≥ 3.2 per thousand inhabitants had fewer deaths (χ2 = 9.02; p-value = 0.003), but this was influenced by PHC coverage (χ2 = 30,87; p-value<0.001). CONCLUSIONS: PHC mitigates the occurrence of Covid-19 and its deaths in a region of social vulnerability in Brazil together with social isolation. However, it is not known until when the system will withstand the overload in view of the low adhesion to social isolation, the lack of support and appropriate direction from the government to its population.