Do psychiatric diseases follow annual cyclic seasonality?
- 1. University of Chicago
- 2. Karolinska Institutet
Description
Seasonal affective disorder (SAD) famously follows annual cycles, with incidence elevation in the fall and spring. Should some version of cyclic annual pattern be expected from other psychiatric disorders? Would annual cycles be similar for distinct psychiatric conditions? This study probes these questions using 2 very large datasets describing the health histories of 150 million unique U.S. citizens and the entire Swedish population. We performed 2 types of analysis, using "uncorrected" and "corrected" observations. The former analysis focused on counts of daily patient visits associated with each disease. The latter analysis instead looked at the proportion of disease-specific visits within the total volume of visits for a time interval. In the uncorrected analysis, we found that psychiatric disorders' annual patterns were remarkably similar across the studied diseases in both countries, with the magnitude of annual variation significantly higher in Sweden than in the United States for psychiatric, but not infectious diseases. In the corrected analysis, only 1 group of patients—11 to 20 years old—reproduced all regularities we observed for psychiatric disorders in the uncorrected analysis; the annual healthcare-seeking visit patterns associated with other age-groups changed drastically. Analogous analyses over infectious diseases were less divergent over these 2 types of computation. Comparing these 2 sets of results in the context of published psychiatric disorder seasonality studies, we tend to believe that our uncorrected results are more likely to capture the real trends, while the corrected results perhaps reflect mostly artifacts determined by dominantly fluctuating, health-seeking visits across a given year. However, the divergent results are ultimately inconclusive; thus, we present both sets of results unredacted, and, in the spirit of full disclosure, leave the verdict to the reader.
Data availability
Data can be obtained via licensing from IBM Health MarketScan (https://www.ibm.com/products/marketscan-research-databases). All data needed to evaluate the conclusions in the paper are present in the paper andits supporting information files. The source code and disease seasonality data for US can be accessed at https://github.com/hanxinzhang/seasonality. We also uploaded the data to the Dryad repository. The DOI is https://doi.org/10.5061/dryad.vdncjsxv6.
Files
journal.pbio.3001347.pdf
Additional details
Identifiers
- DOI
- 10.1371/journal.pbio.3001347
- Other
- oai:uchicago.tind.io:5937
Funding
- ARO
- DARPA Big Mechanism program
- National Institutes of Health
- R01HL122712
- National Institutes of Health
- 1P50MH094267
- National Institutes of Health
- U01HL108634-01
- Liz and Kent Dauten