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Using epigenetic aging data to drive health behavior change.
Williford PA, Howell D, Dupont-Versteegden E.
PEC innovation · 2026
Abstract
<h4>Objective</h4>This conceptual article proposes a patient-counseling framework that integrates epigenetic aging measures into the Transtheoretical Model (TTM) to support personalized health behavior change.<h4>Methods</h4>We developed a conceptual model by mapping potentially motivational properties of epigenetic age feedback, including its interpretability, biological science, and modifiability, onto stage-specific behavior-change processes within the TTM.<h4>Results</h4>The proposed model describes how epigenetic age feedback may be introduced differently across precontemplation, contemplation, preparation, action, maintenance, and relapse phases. Rather than functioning as a stand-alone motivator, epigenetic age is positioned as a complementary tool alongside established approaches such as motivational interviewing, wearable monitoring, and conventional risk assessment. This framework also outlines how repeat measurement may be used selectively to reinforce progress, re-engage patients after slippage, and personalize counseling around behaviors such as physical activity, sleep, nutrition, and stress management.<h4>Conclusion</h4>Integrating epigenetic age data into stage-matched counseling offers a plausible, patient-centered approach to behavior change, but it remains conceptual and requires empirical evaluation of feasibility, acceptability, and communication effects.<h4>Innovation</h4>This article frames epigenetic age from a research biomarker into a stage-specific patient education tool and proposes a modified TTM in which repeat biological age assessment is used as a targeted relapse-prevention and re-engagement strategy.
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Provenance
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- Europe PMC
- DOI
- 10.1016/j.pecinn.2026.100482
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- 2026-07-01 MST
Cite this
APA
PA, W., D, H., & E., D. (2026). Using epigenetic aging data to drive health behavior change. <em>PEC innovation</em>. https://doi.org/10.1016/j.pecinn.2026.100482
Vancouver
PA W, D H, E. D. Using epigenetic aging data to drive health behavior change. PEC innovation. 2026. doi:10.1016/j.pecinn.2026.100482.
BibTeX
@article{williford2026Usinge,
title = {Using epigenetic aging data to drive health behavior change.},
author = {Williford PA and Howell D and Dupont-Versteegden E.},
journal = {PEC innovation},
year = {2026},
doi = {10.1016/j.pecinn.2026.100482},
}
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