Statistical analysis
From looking at the graphs and the numbers above, you are likely able to draw the conclusion that there were no differences between fatigue scores during the winter months.
As expected when I ran a comparison of means calculation, no statistical differences were found (difference = 0.031, p = 0.6879).
Additionally, I compared the slightly lower winter month values to the previous study finding on average lupus fatigue scores. Again, no statistical differences were found (difference = 0.137, p = 0.433).
Discussion of findings
Based on the above findings, it does not seem like the winter season is associated with different levels of fatigue as compared to the early spring months. As additional results are available, this analysis can be expanded to take into account all of the seasons.
By comparing the LupusCorner users to the clinical study population, we found that the responders were not significantly different than the people with lupus in that trial. However, it is important to consider the difficulty in attaining statistical significance. The FSS is not sufficient for comparing the groups.
This finding is in-line with the existing literature regarding seasonality and lupus fatigue. However, those researchers also suggested that additional studies be conducted to explore the link. In future analysis, it may be possible to include additional demographic data to explore how specific attributes, including sex, race, and age-of-lupus-onset may impact fatigue.