MULTIDIMENSIONAL SLEEP HEALTH METHODS: FROM THE SIMPLE TO THE SUBLIME
2024
Multidimensional Sleep Health Methods
publication
Author Information
Author(s): Wallace Meredith
Primary Institution: University of Pittsburgh
Hypothesis
The multidimensional sleep health framework can improve sleep and its health consequences at a population level.
Conclusion
The study outlines methodological challenges in sleep health research and discusses various approaches to address them.
Supporting Evidence
- The multidimensional sleep health framework presents a promising approach for improving sleep.
- There are several methodological challenges to sleep health research.
- The study discusses methods for sleep data harmonization and defining sleep dimensionality.
Takeaway
This study looks at how to better understand sleep health and its effects on people, especially older adults.
Methodology
The study discusses various methods for analyzing sleep health, including data harmonization and machine learning.
Limitations
There are several methodological challenges in operationalizing and analyzing sleep health.
Participant Demographics
The study includes an international multi-cohort sample of older adults.
Digital Object Identifier (DOI)
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