Correction for Weed and Zeitzer, Circadian-informed modeling predicts regional variation in obesity and stroke outcomes under different permanent US time policies

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Key Points

To assess how different permanent US time policies influence obesity and stroke outcomes across regions.
Utilized circadian-informed modeling to analyze health outcomes related to time policies.
Focused on regional variations in obesity and stroke implications across the US.
Examined existing literature and data on health outcomes and time policy effects.
Modeling predicts significant regional differences in obesity rates.
Findings suggest variations in stroke outcomes correlated to time policy changes.
Implications for health policy suggest adjustments could reduce obesity and stroke risks.

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Correction predicts regional variation in obesity and stroke outcomes under different US time policies, indicating implications for public health.

by Lara Weed and Jamie M. Zeitzer, which published September 15

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A 2026 study studied this question.

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