Published July 19, 2021 | Version v1
Journal article Open

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.

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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

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Genetics, Genomics, and Systems Biology, Medicine
Center(s) or Institute(s)
Institute for Genomics and Systems Biology