Technological variables predictors of academic stress in nursing students in times of COVID-19

OBJECTIVE

to analyze which technological variables, derived from the use of electronic devices, predict academic stress and its dimensions in Nursing students.

METHOD

analytical cross-sectional study carried out with a total of 796 students from six universities in Peru. The SISCO scale was used and four logistic regression models were estimated for the analysis, with selection of variables in stages.

RESULTS

among the participants, 87.6% had a high level of academic stress; time using the electronic device, screen brightness, age and sex were associated with academic stress and its three dimensions; the position of using the electronic device was associated with the total scale and the stressors and reactions dimensions. Finally, the distance between the face and the electronic device was associated with the total scale and size of reactions.

CONCLUSION

technological variables and sociodemographic characteristics predict academic stress in nursing students. It is suggested to optimize the time of use of computers, regulate the brightness of the screen, avoid sitting in inappropriate positions and pay attention to the distance, in order to reduce academic stress during distance learning.

Seasonal variation in child mortality in rural Guinea-Bissau

Objectives

In many African countries, child mortality is higher in the rainy season than in the dry season. We investigated the effect of season on child mortality by time periods, sex and age in rural Guinea‐Bissau.

Methods

Bandim health project follows children under‐five in a health and demographic surveillance system in rural Guinea‐Bissau. We compared the mortality in the rainy season (June to November) between 1990 and 2013 with the mortality in the dry season (December to May) in Cox proportional hazards models providing rainy vs. dry season mortality rate ratios (r/d‐mrr). Seasonal effects were estimated in strata defined by time periods with different frequency of vaccination campaigns, sex and age (<1 month, 1–11 months, 12–59 months). Verbal autopsies were interpreted using InterVa‐4 software.

Results

From 1990 to 2013, overall mortality was declined by almost two‐thirds among 81 292 children (10 588 deaths). Mortality was 51% (95% ci: 45–58%) higher in the rainy season than in the dry season throughout the study period. The seasonal difference increased significantly with age, the r/d‐mrr being 0.94 (0.86–1.03) among neonates, 1.57 (1.46–1.69) in post‐neonatal infants and 1.83 (1.72–1.95) in under‐five children (P for same effect <0.001). According to the InterVa, malaria deaths were the main reason for the seasonal mortality difference, causing 50% of all deaths in the rainy season, but only if the InterVa included season of death, making the argument self‐confirmatory.

Conclusion

The mortality declined throughout the study, yet rainy season continued to be associated with 51% higher overall mortality.