Seasonal Trends in Sleep-Disordered Breathing: Evidence from Internet Search Engine Query Data

In this study, internet search engine query data were retrieved from Google Trends over six years from 2012, from USA and Australia.  Authors found statistically significant seasonal effects were found using cosinor analysis in both USA and Australia for “snoring” (p<0.00001 for both countries). Similarly, seasonal patterns were observed for “sleep apnea” in the USA (p=0.001). Magnitude of seasonal effect raged from 5–50%. This indicates that there are significant trends for both snoring and sleep apnea internet search engine queries, with peaks in winter and early spring. Future studies may examine the mechanisms underlying these findings, and whether there is a clinical correlation or not.

http://www.ncbi.nlm.nih.gov/pubmed/24595717