Sleep disturbance recorded via wearable sensors predicts depression severity 9 years later

Wearable actigraphy-indexed sleep disturbances predicted long-term MDD symptoms beyond baseline severity and ANS dysregulation indices. Combining passive sleep sensors into routine assessments might optimize MDD prevention and treatment.

Authors

Nur Hani Zainal (ORCID: https://orcid.org/0000-0002-2023-3173)
Peter Hitchcock (ORCID: https://orcid.org/0000-0001-7606-5132)

Institutions

Emory University (US)

Publication Details

Journal: Journal of Affective Disorders
Published: 2025-10-15
DOI: https://doi.org/10.1016/j.jad.2025.120426
Primary Topic: Heart Rate Variability and Autonomic Control
Type: article
Field-Weighted Citation Impact: 0.00

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article

Sleep disturbance recorded via wearable sensors predicts depression severity 9 years later

Nur Hani Zainal, Peter Hitchcock

Oct 15, 2025

Journal of Affective Disorders

Heart Rate Variability and Autonomic Control

article

Sleep disturbance recorded via wearable sensors predicts depression severity 9 years later

Nur Hani Zainal, Peter Hitchcock

October 15, 2025article en

Abstract

Journal of Affective DisordersVol. 394(Pt A)

Emory University (US)

Openalex Percentile: Top 56%

Heart Rate Variability and Autonomic Control

DOI Open Access PDF OpenAlex

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Sleep disturbance recorded via wearable sensors predicts depression severity 9 years later — Nur Hani Zainal, Peter Hitchcock · Journal of Affective Disorders (2025) | TGRS Research Map | TGRS