Epigenetic Resilience and Lifestyle Modulation as Predictors of Healthy Aging in Urban Population

Authors

  • Muhammad Syahrir Universitas Tompotika Luwuk
  • Besse Hardianti Universitas Almarisah Madani
  • Rudy Dwi Laksono Universitas Jenderal Ahmad Yani Cimahi

DOI:

https://doi.org/10.55927/fjst.v4i12.344

Keywords:

Epigenetic Resilience, Lifestyle Modulation, Healthy Aging, Urban Population

Abstract

This study investigates how epigenetic resilience and healthy lifestyle behaviors predict optimal aging in urban environments. Using a mixed-methods sequential explanatory design, data were collected from 48 adults aged 45–70 through lifestyle questionnaires, clinical assessments, and DNA methylation analysis to estimate epigenetic age, followed by in-depth interviews. Regression and mediation analyses show that active living, balanced nutrition, and effective stress management significantly enhance epigenetic resilience and slow biological aging. The findings highlight epigenetic resilience as a key adaptive mechanism linking healthy behaviors to improved aging outcomes. Practically, the study offers scientific support for developing preventive strategies and lifestyle-based urban policies aimed at strengthening biological resilience and extending the healthspan of urban populations.

References

Braun, V., & Clarke, V. (2021). Thematic analysis: A practical guide. SAGE Publications.

Charmaz, K., & Thornberg, R. (2020). The pursuit of quality in grounded theory. Qualitative Research in Psychology, 17(3), 215–237.

Chi, G. C., Liu, Y., MacDonald, J. W., Reynolds, L. M., Enquobahrie, D. A., Fitzpatrick, A. L., ... & Kaufman, J. D. (2022). Epigenome-wide analysis of long-term air pollution exposure and DNA methylation in monocytes: Results from the Multi-Ethnic Study of Atherosclerosis. Epigenetics, 17(3), 233–249.

Choi, S. W., & Friso, S. (2023). Modulation of DNA methylation by one-carbon metabolism. Nutrition Research and Practice, 17(4), 597–615.

Dugué, P. A., Bodelon, C., Chung, F. F., et al. (2022). Methylation-based markers of aging and lifestyle-related factors and risk of breast cancer: A pooled analysis of four prospective studies. Breast Cancer Research, 24(1), 59.

Etikan, I. (2020). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 9(1), 1–4.

Fàbregues, S., & Guetterman, T. C. (2025). Mixed methods research systematic methodological reviews—Benefits, challenges, and solutions. Journal of Mixed Methods Research, 19(1), 6–17.

Field, A. (2022). Discovering statistics using IBM SPSS Statistics (6th ed.). SAGE Publications.

Fox, F. A. U., et al. (2023). Physical activity is associated with slower epigenetic ageing—Findings from the Rhineland Study. Aging Cell, 22(2), e13828.

Franzago, M., & Stuppia, L. (2022). The epigenetic aging, obesity, and lifestyle. Frontiers in Cell and Developmental Biology, 10, Article 985274.

García-García, I., Grisotto, G., Heini, A., Gibertoni, S., Nusslé, S., Donica, O., … Gonseth Nusslé, S. (2024). Examining nutrition strategies to influence DNA methylation and epigenetic clocks: A systematic review of clinical trials. Frontiers in Aging, 5, Article 1417625.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). SAGE Publications.

Higgins-Chen, A. T., Thrush, K. L., Wang, Y., et al. (2022). A computational solution for bolstering reliability of epigenetic clocks: Implications for clinical trials and longitudinal tracking. Nature Aging, 2(7), 644–661.

Jain, P., Binder, A. M., Chen, B., et al. (2022). Analysis of epigenetic age acceleration and healthy longevity among older U.S. women. JAMA Network Open, 5(7), e2223285.

Janssens, G. E., van Dongen, J., Ligthart, L., … (2025). Nutritional associations with decelerated epigenetic aging: Vegan diet in a Dutch population. Clinical Epigenetics, 17, Article 133.

Kankaanpää, A., Palviainen, T., Vierikko, E., et al. (2022). The role of adolescent lifestyle habits in biological aging: A prospective twin study. eLife, 11, e80729.

Li, A., Koch, Z., & Ideker, T. (2022). Epigenetic aging: Biological age prediction and informing a mechanistic theory of aging. Journal of Internal Medicine, 292(5), 733–744.

Maglione, J. L. (2021). Health-promoting behaviors of low-income adults in a community health center. Journal of Community Health Nursing, 38(2), 61–72.

Ramanujan, P., Bhattacharjea, S., & Alcott, B. (2022). A multi-stage approach to qualitative sampling within a mixed methods evaluation: Some reflections on purpose and process. Canadian Journal of Program Evaluation, 36(3), 355–364.

Si, J., Chen, L., & Yu, C., et al. (2023). Healthy lifestyle, DNA methylation age acceleration, and incident risk of coronary heart disease. Clinical Epigenetics, 15(1), 52.

Tian, T., et al. (2023). Associations between psychological resilience and epigenetic age acceleration in older adults. BMC Geriatrics, 23(1), 159.

Villanueva, J. L., Adorno Vita, A., Zwickey, H., Fitzgerald, K., Hodges, R., Zimmerman, B., & Bradley, R. (2025). Dietary associations with reduced epigenetic age: A secondary data analysis of the methylation diet and lifestyle study. Aging, 17(4), 994–1010.

Wang, J., Han, X., Yang, Y., Zeng, Y., Qu, Y., Yang, H., ... & Song, H. (2024). The association of psychological and trauma-related factors with biological and facial aging acceleration: Evidence from the UK Biobank. BMC Medicine, 22(1), 359.

Wang, K., et al. (2022). Epigenetic regulation of aging: Implications for interventions. Signal Transduction and Targeted Therapy, 7, Article 211.

World Health Organization. (2020). UN Decade of Healthy Ageing (2021–2030): Proposal.

World Medical Association. (2013). Declaration of Helsinki: Ethical principles for medical research involving human subjects. JAMA, 310(20), 2191–2194.

Published

2025-12-31