Epigenetic Pace of Aging (DunedinPACE) Predicts Incident Metabolic Syndrome in the Berlin Aging Study II (BASE-II)
2024
Epigenetic Pace of Aging Predicts Metabolic Syndrome
Sample size: 564
publication
Evidence: moderate
Author Information
Author(s): Demuth Ilja, Vetter Valentin, Homann Jan, Lill Christina, Bertram Lars
Primary Institution: Charité - Universitätsmedizin Berlin
Hypothesis
Can epigenetic markers predict the incidence of metabolic syndrome in older adults?
Conclusion
Higher pace of aging is associated with an increased risk of developing metabolic syndrome.
Supporting Evidence
- The study included 564 participants with baseline epigenetic biomarkers.
- 144 cases of incident metabolic syndrome were identified during the follow-up.
- Logistic regression analyses adjusted for various factors were performed.
Takeaway
This study found that if you age faster biologically, you're more likely to get sick with metabolic syndrome as you get older.
Methodology
Logistic regressions were used to analyze the relationship between epigenetic markers and metabolic syndrome incidence.
Participant Demographics
Participants had an average age of 68.3 years, with 55.9% being women.
Statistical Information
P-Value
0.018
Confidence Interval
95%CI: 1.5-76.1
Statistical Significance
p = 0.018
Digital Object Identifier (DOI)
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