Precision Assessment of Real-World Associations Between Stress and Sleep Duration Using Actigraphy Data Collected Continuously for an Academic Year: Individual-Level Modeling Study.

Constanza M Vidal Bustamante Garth Coombs Iii Habiballah Rahimi-Eichi Patrick Mair Jukka-Pekka Onnela Justin T Baker Randy L Buckner

Published in: JMIR formative research (2024)

The dynamic interplay of stress and sleep in daily life is likely person specific. Paired with intensive longitudinal data, our individual-level linear model provides a precision framework for the estimation of stable real-world behavioral and psychological dynamics and may support the personalized prioritization of intervention targets for health and well-being.

Keyphrases

electronic health record
physical activity
randomized controlled trial
big data
healthcare
public health
sleep quality
mental health
cross sectional
machine learning
heat stress
artificial intelligence
risk assessment
neural network