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Updated: Jun 23, 2026

Measuring Single-Cell Aging with an Imaging-based Biomarker of Chromatin and Epigenetic Aging
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Published on: January 30, 2026

Using epigenetic aging data to drive health behavior change.

Phillip A Williford1, Dana Howell2, Esther Dupont-Versteegden3

  • 1Department of Physician Assistant Studies, College of Health Sciences, University of Kentucky, 900 S. Limestone, C.T. Wethington Bldg, Rm 205B, Lexington, KY 40536-0200, United States.

PEC Innovation
|June 22, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a patient counseling framework using epigenetic aging to personalize health behavior change within the Transtheoretical Model (TTM). It enhances TTM by integrating epigenetic age feedback for tailored interventions and relapse prevention.

Keywords:
Biological agingEpigenetic ageLifestyle behavior changePersonalized health feedbackPreventive healthcareTranstheoretical model

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Area of Science:

  • Biomedical Science
  • Behavioral Science
  • Health Psychology

Background:

  • Epigenetic aging measures offer novel insights into biological age.
  • Personalized health behavior change is crucial for chronic disease management.
  • The Transtheoretical Model (TTM) provides a framework for understanding behavior change stages.

Purpose of the Study:

  • To propose a conceptual framework integrating epigenetic aging measures into the TTM for personalized patient counseling.
  • To explore the motivational properties of epigenetic age feedback within different TTM stages.
  • To outline how epigenetic age can serve as a patient education tool and relapse prevention strategy.

Main Methods:

  • Developed a conceptual model mapping epigenetic age feedback properties onto TTM stages.
  • Considered interpretability, biological relevance, and modifiability of epigenetic age.
  • Mapped feedback delivery across precontemplation, contemplation, preparation, action, maintenance, and relapse phases.

Main Results:

  • Epigenetic age feedback can be tailored to specific TTM stages for enhanced counseling.
  • Epigenetic age serves as a complementary tool alongside motivational interviewing and risk assessment.
  • Repeat epigenetic age measurements can reinforce progress and aid relapse prevention.

Conclusions:

  • Integrating epigenetic age into stage-matched counseling offers a patient-centered approach to behavior change.
  • The proposed framework requires empirical evaluation for feasibility, acceptability, and communication effectiveness.
  • Epigenetic age transitions from a research biomarker to a stage-specific patient education tool.