Data and statistical analysis
hypoxia
HYPOXIA, SECONDARY
Prior to analyses, all data were checked for outliers and the necessary assumptions for repeated measures ANOVA, Pearson’s Chi-square test, repeated measures ANCOVA, and linear mixed effects model analyeses and no corrections were necessary. Any learning effects were assessed via one-way repeated measures ANOVA of the composite scores from gamified cognitive test bouts during screening, practice day 1, practice day 2, practice day 3, and baseline on the experimental day. Post-hoc analysis was completed via Sidak’s multiple comparisons test. Test-retest reliability of each gamified cognitive test ws assessed via intraclass correlation analyses for practice day 3 trials. Comparisons of physiological variables (SConsistent with testing our primary hypothesis that performance on gamified cognitive tests would be reduced during normobaric hypoxia compared to normoxic environmental conditions, a two-way repeated measures ANCOVA assessed the condition (hypoxia and normoxia), time (60 and 90 min), and their interaction effects on the available variables for each gamified cognitive test, with baseline values of gamified cognitive tests serving as the covariate. If a significant interaction was observed, pairwise comparions were made using post-hoc tests via Sidak’s multiple comparison tests. The primary outcome variables for this hypothesis were the composite scores for Gridshot, Capacity, and Multitracker, while the other performance metrics provided deeper understanding of the findings.To assess our secondary hypothesis that decreases in performance metrics on gamified cognitive tests during moderate hypoxia will be greater in individuals who experience a greater drop in arterial oxygen saturation, a linear mixed effects model (lme4 and lmerTest R packages) with the variables of baseline values of gamified cognitive tests, individual decrease in SAll data were analyzed using SPSS (IBM Corp. Released 2021. IBM SPSS Statistics for Windows, Version 28.0. Armonk, NY: IBM Corp), R version 4.1.3 (R foundation for Statistical Computing), and Prism software (Version 9.1.2, GraphPad Software Inc, La Jolla, CA, USA). A priori statistical significance was set at 