Self-perceived quality of life predicts mortality risk better than a multi-biomarker panel
Author Information
Author(s): Haring Robin, Feng You-Shan, Moock Jörn, Völzke Henry, Dörr Marcus, Nauck Matthias, Wallaschofski Henri, Kohlmann Thomas
Primary Institution: University of Greifswald
Hypothesis
Does self-perceived quality of life predict mortality risk better than a multi-biomarker panel?
Conclusion
A combined assessment of self-reported subjective health and measured biomarkers may be useful to identify high-risk individuals for intensified monitoring.
Supporting Evidence
- Poor self-rated health was associated with a twofold higher mortality risk.
- Low physical component scores were linked to increased mortality risk.
- The combination of subjective health measures and biomarkers improved mortality risk prediction.
Takeaway
People who think their health is poor are more likely to die sooner, and combining this with blood tests can help find those who need more medical attention.
Methodology
Data from 4,261 individuals aged 20-79 years was analyzed using Cox proportional-hazards regression models to assess the association of subjective health with mortality.
Potential Biases
Potential non-response bias may affect the self-reported health measures.
Limitations
The study may have non-response bias and only included a healthy adult population with a low mortality rate.
Participant Demographics
Adults aged 20-79 years from a population-based cohort in Germany.
Statistical Information
P-Value
p<0.01
Confidence Interval
95% CI, 1.34-3.20
Statistical Significance
p<0.01
Digital Object Identifier (DOI)
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