Digital Sleep-Wake Cycle Metrics and Dementia Prediction in Older Adults - Takeaways - MDSpire

Digital Sleep-Wake Cycle Metrics and Dementia Prediction in Older Adults

  • By

  • Clémence Cavaillès

  • Ian Meneghel Danilevicz

  • Sam Vidil

  • Aurore Fayosse

  • Mathilde Chen

  • Vincent van Hees

  • Mika Kivimäki

  • Aline Dugravot

  • Archana Singh-Manoux

  • Séverine Sabia

  • July 1, 2026

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  • 1

    Dementia poses a significant public health challenge, particularly due to the aging global population.

  • 2

    High-resolution accelerometers can noninvasively measure sleep-wake cycles, potentially identifying early behavioral changes in dementia.

  • 3

    Disruptions in sleep-wake cycles may serve as early markers for dementia risk, particularly in the preclinical phase of Alzheimer's disease.

  • 4

    The study aims to assess the relationship between accelerometer-based sleep-wake cycle measures and incident dementia in the UK Biobank cohort.

  • 5

    The UK Biobank study includes over 500,000 adults, with accelerometer data collected from more than 100,000 participants.

Original Source(s)

Digital Sleep-Wake Cycle Metrics and Dementia Prediction in Older Adults

  • by Clémence Cavaillès, Ian Meneghel Danilevicz, Sam Vidil, Aurore Fayosse, Mathilde Chen, Vincent van Hees, Mika Kivimäki, Aline Dugravot, Archana Singh-Manoux, Séverine Sabia

  • July 1, 2026

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