Longevity Genes and Psychological Anti-Aging – Strategies and Influencing Factors in Middle-Aged Women

Jiatong Li

doi:10.54254/2753-8818/2025.AU28745

Theoretical and Natural ScienceOpen access

Longevity Genes and Psychological Anti-Aging – Strategies and Influencing Factors in Middle-Aged Women

Research Article

Open Access

Longevity Genes and Psychological Anti-Aging – Strategies and Influencing Factors in Middle-Aged Women

Jiatong Li ^1*

¹ Beijing Haidian District Daoxiang Lake School

^*Corresponding author: 13691477231@163.com

Published on 28 October 2025

TNS Vol.147

ISSN (Print): 2753-8826

ISSN (Online): 2753-8818

ISBN (Print): 978-1-80590-489-2

ISBN (Online): 978-1-80590-490-8

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Abstract

This study explores the psychosocial and lifestyle factors influencing perceived biological aging among middle-aged Chinese women. A total of 39 participants aged 40 and above completed a 46-item questionnaire assessing health status, stress, emotional support, diet, physical activity, and aging perception. Participants were categorized into low, moderate, or high aging groups based on self-reported indicators. Women in the low-aging group reported greater emotional and partner support, lower family-related stress, healthier diets, and more frequent self-care and physical activity. In contrast, high-aging participants experienced greater stress, digestive discomfort, sedentary habits, and exposure to secondhand smoke and alcohol. Interestingly, intermittent fasting was most common in the moderate-aging group. These findings underscore the significant role of psychosocial resilience and modifiable lifestyle behaviors in shaping aging perceptions. The study advocates for holistic, culturally sensitive interventions to support healthy aging in women, particularly those navigating caregiving, career, and health demands during midlife.

Keywords:

Biological aging, Psychological resilience, Middle-aged women, Aging perception, Biopsychosocial model

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References

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References

[1]. López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2013). The hallmarks of aging. Cell, 153(6), 1194–1217. https: //doi.org/10.1016/j.cell.2013.05.039

[3]. Levine, M. E., Lu, A. T., Chen, B. H., et al. (2016). Menopause accelerates biological aging. PNAS, 113(33), 9327–9332. https: //doi.org/10.1073/pnas.1604558113

[4]. Yang, X. X., Zhao, M. M., He, Y. F., et al. (2022). Facial skin aging stages in Chinese females. Frontiers in Medicine, 9, 870926. https: //doi.org/10.3389/fmed.2022.870926

[5]. Sen, P., Shah, P. P., Nativio, R., & Berger, S. L. (2016). Epigenetic mechanisms of longevity and aging. Cell, 166(4), 822–839. https: //doi.org/10.1016/j.cell.2016.07.050

[6]. Epel, E. S., Blackburn, E. H., Lin, J., et al. (2004). Accelerated telomere shortening in response to life stress. PNAS, 101(49), 17312–17315. https: //doi.org/10.1073/pnas.0407162101

[7]. Levy BR, Myers LM. Preventive health behaviors influenced by self-perceptions of aging. Prev Med. 2004 Sep; 39(3): 625-9. doi: 10.1016/j.ypmed.2004.02.029. PMID: 15313104.

Cite this article

Li,J. (2025). Longevity Genes and Psychological Anti-Aging – Strategies and Influencing Factors in Middle-Aged Women. Theoretical and Natural Science,147,39-44.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of ICBioMed 2025 Symposium: AI for Healthcare: Advanced Medical Data Analytics and Smart Rehabilitation

ISBN: 978-1-80590-489-2(Print) / 978-1-80590-490-8(Online)

Editor: Alan Wang

Conference website: https://2025.icbiomed.org/auckland.html

Conference date: 17 October 2025

Series: Theoretical and Natural Science

Volume number: Vol.147

ISSN: 2753-8818(Print) / 2753-8826(Online)

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