Statistical analyses
REGRESSION
We created groups for self-reported health outcomes, where scores of 1 to 3 were regarded as poor health and scores of 4 and 5 as good health. Data were tested for normality. The differences between the Nature-and Sports-groups as well as between the categorial groups were assessed using Student’s The changes in WEMWBS, Q1–Q6 scores and accelerometer data were analyzed using either dependent t-test or Wilcoxon signed-rank test, depending on the distribution of data. Answers of Q1–Q6, gender, age, group, and season were further used as covariates in univariate regression models analyzing factors which may explain the changes in the WEMWBS sleep outcomes. The statistical analyses were performed using IBM SPSS Statistics, version 27, software.