ArticleProceedings of the National Academy of Sciences of the United States of America2025
Circadian-informed modeling predicts regional variation in obesity and stroke outcomes under different permanent US time policies.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Challenges of county-level circadian modeling for time-policy debates.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The sum of absolute circadian shifts: Questioning the metric linking daylight saving time policy to stroke and obesity.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Reply to Erren et al. and Martin-Olalla and Mira: What constitutes circadian burden? An empirically grounded approach to long-term summary metrics.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Article
- Health-Framed Messaging and Its Impact on Attitudes Toward Daylight Saving Time.medRxiv : the preprint server for health sciences · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
Abstract
Seasonal changes in time policy, such as switching between Standard Time (SDT) and Daylight Saving Time (DST), have been adopted by many countries, including the United States. While transitioning between SDT and DST has notable acute negative population health impacts, the chronic impact of these time policies on health has not been well evaluated. To estimate the impact of permanent SDT or DST on health, we modeled the circadian impact of SDT, DST, and Biannual Shifting (BAS) across a year in the contiguous, continental United States. We find that BAS produces a greater burden on the circadian system as compared to either permanent SDT or DST. Chronotype as well as location (latitude and location within time zones) impact this burden. Analyzing these data relative to county-level health data (Centers for Disease Control and Prevention Places dataset), we find that, under idealized light exposure conditions and after controlling for health and socioeconomic factors, there would be a decrease in the prevalence of both obesity [[Formula: see text]0.78% ([Formula: see text]0.06% to [Formula: see text]1.49%)] and stroke [[Formula: see text]0.09% ([Formula: see text]0.04% to [Formula: see text]0.14%)] under SDT compared with the current policy. The prevalence of both obesity [[Formula: see text]0.51% ([Formula: see text]0.09% to [Formula: see text]0.93%)] and stroke [[Formula: see text]0.07% ([Formula: see text]0.04% to [Formula: see text]0.09%)] would also decrease under permanent DST, though to a lesser degree. Our data, reflecting the impact of time policy on circadian burden and subsequent health benefits, support the cessation of BAS.
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