New Measures of Multimorbidity Based on a Theory of Dependent Competing Risks
2024
New Measures of Multimorbidity in Older Adults
publication
Evidence: high
Author Information
Author(s): Akushevich Igor, Yashkin Arseniy, Kravchenko Julia, Yashin Anatoliy
Primary Institution: Duke University
Hypothesis
The study aims to identify and explain causal pathways generating multimorbidity patterns in older U.S. adults.
Conclusion
The study developed a novel method that significantly outperforms traditional methods in identifying multimorbidity clusters.
Supporting Evidence
- The study identifies multimorbidity clusters and their properties.
- It allows for the quantification of the effects of risk factors on these clusters.
- The method provides causal explanations for disparities in multimorbidity.
Takeaway
This study looks at how multiple health problems happen together in older people and finds a better way to understand and measure them.
Methodology
The study uses parametric and non-parametric methods to evaluate dependent competing risks among diseases and models the joint distribution of time-to-disease-onsets.
Participant Demographics
Older U.S. adults.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website