Integrative Impact of Multi-Domain Lifestyle Intervention on Autonomic Function, Cognitive Flexibility, and Sleep Homeostasis in Postmenopausal Women
DOI:
https://doi.org/10.22399/ijcesen.2225Keywords:
Heart rate variability, Sleep architecture, Cognitive, Flexibility, Menopause, Electroencephalogram (EEG), Functional foodsAbstract
The intricate neuroendocrine shift, known as menopause, affects sleep architecture, cognitive flexibility, and autonomic function. An integrative, multi-domain strategy is becoming increasingly necessary, even though individual therapies, such as exercise, stress reduction, and dietary modification, have shown promise in reducing menopausal symptoms. In this study, heart rate variability (HRV), electroencephalogram (EEG) sleep profiles, and cognitive performance were examined for the combined effects of a comprehensive lifestyle intervention that includes functional training, mindfulness-based stress reduction (MBSR), and a phytoestrogen-rich dietary regimen. Forty volunteers between 50 and 65 years of age were divided evenly between the intervention and control groups for a 12-week randomized controlled experiment. Three weekly sessions of structured functional training, daily mindfulness exercises, and individualized nutritional counselling were provided to the intervention group. Linear (SDNN, RMSSD, LF/HF ratio) and nonlinear (DFA α1, α2, SD1/SD2) parameters were used to evaluate the HRV. Overnight polysomnography was used to assess the architecture and quality of sleep, with emphasis on EEG spectral power analysis during the NREM and REM phases. Standardized neuropsychological instruments were used to evaluate cognitive abilities, such as executive function, working memory, and attention switching. A decrease in cortical hyperarousal was suggested by the results, which showed statistically significant improvements in short-term HRV indices (SD1 and RMSSD), increased high-frequency EEG activity during NREM sleep, and decreased beta activity during REM sleep. Additionally, participants in the intervention group showed improved cognitive performance, particularly in the areas of inhibitory control and task switching. Strong correlations between vagal tone and cognitive flexibility and between enhanced HRV patterns and EEG power modulation were found by correlation analysis. These results highlight how integrative lifestyle therapies can improve neurocardiac resilience and cognitive vigor in postmenopausal women. This study promotes individualized, non-pharmacological methods for treating autonomic and cognitive dysfunction associated with menopause.
References
[1] Freeman, E. W., Sammel, M. D., Lin, H., & Nelson, D. B. (2006). Associations of hormones and menopausal status with depressed mood in women with no history of depression. Archives of general psychiatry, 63(4), 375-382, doi:10.1001/archpsyc.63.4.375
[2] Thurston, R. C., & Joffe, H. (2011). Vasomotor symptoms and menopause: findings from the Study of Women’s Health across the Nation. Obstetrics and gynecology clinics of North America, 38(3), 489, doi:https://doi.org/10.1016/j.ogc.2011.05.006
[3] Antelmi, I., De Paula, R. S., Shinzato, A. R., Peres, C. A., Mansur, A. J., & Grupi, C. J. (2004). Influence of age, gender, body mass index, and functional capacity on heart rate variability in a cohort of subjects without heart disease. The American journal of cardiology, 93(3), 381-385, doi: https://doi.org/10.1016/j.amjcard.2003.09.065
[4] Akiyoshi, M., Kato, K., Owa, Y., Sugiyama, M., Miyasaka, N., Obayashi, S., ... & Sato, K. (2011). Relationship between estrogen, vasomotor symptoms, and heart rate variability in climacteric women. Journal of medical and dental sciences, 58(2), 49-59, doi: https://doi.org/10.11480/jmds.580204
[5] Kravitz, H. M., Ganz, P. A., Bromberger, J., Powell, L. H., Sutton-Tyrrell, K., & Meyer, P. M. (2003). Sleep difficulty in women at midlife: a community survey of sleep and the menopausal transition. Menopause, 10(1), 19-28.
[6] Girard, R., Météreau, E., Thomas, J., Pugeat, M., Qu, C., & Dreher, J. C. (2017). Hormone therapy at early post-menopause increases cognitive control-related prefrontal activity. Scientific reports, 7(1), 44917, doi: https://doi.org/10.1038/srep44917
[7] Epperson, C. N., Sammel, M. D., & Freeman, E. W. (2013). Menopause effects on verbal memory: findings from a longitudinal community cohort. The Journal of clinical endocrinology and metabolism, 98(9), 3829–3838. https://doi.org/10.1210/jc.2013-1808
[8] de Zambotti, M., Trinder, J., Silvani, A., Colrain, I. M., & Baker, F. C. (2018). Dynamic coupling between the central and autonomic nervous systems during sleep: A review. Neuroscience and biobehavioral reviews, 90, 84–103. https://doi.org/10.1016/j.neubiorev.2018.03.027
[9] Sánchez-Delgado, J. C., Jácome-Hortúa, A. M., Yoshida de Melo, K., Aguilar, B. A., Vieira Philbois, S., & Dutra de Souza, H. C. (2023). Physical Exercise Effects on Cardiovascular Autonomic Modulation in Postmenopausal Women-A Systematic Review and Meta-Analysis. International journal of environmental research and public health, 20(3), 2207. https://doi.org/10.3390/ijerph20032207
[10] Sahu, G., Bharshankar, J., & Shaikh, A. S. (2024). A Comparative Cross-Sectional Study of Heart Rate Variability in Pre & Post Menopausal Women and Its Association with Menopausal Symptoms. European Journal of Cardiovascular Medicine, 14, 783-788, doi: 10.5083/ejcm
[11] Martinelli, P. M., Sorpreso, I. C. E., Raimundo, R. D., Junior, O. D. S. L., Zangirolami-Raimundo, J., Malveira de Lima, M. V., ... & Carlos de Abreu, L. (2020). Heart rate variability helps to distinguish the intensity of menopausal symptoms: A prospective, observational and transversal study. PLoS One, 15(1), e0225866, doi: https://doi.org/10.1371/journal.pone.0225866
[12] Baker, F. C., Lampio, L., Saaresranta, T., & Polo-Kantola, P. (2018). Sleep and Sleep Disorders in the Menopausal Transition. Sleep medicine clinics, 13(3), 443–456. https://doi.org/10.1016/j.jsmc.2018.04.011
[13] Steiger, A. (2011). Endocrine and metabolic changes during sleep. Handbook of clinical neurology, 98, 241-257, doi: https://doi.org/10.1016/B978-0-444-52006-7.00016-2
[14] Nowak, J., Dimitrov, A., Oei, N. Y., Walter, H., Adli, M., & Veer, I. M. (2020). Association of naturally occurring sleep loss with reduced amygdala resting-state functional connectivity following psychosocial stress. Psychoneuroendocrinology, 114, 104585, https://doi.org/10.1016/j.psyneuen.2020.104585
[15] Aazad, S. K., Saini, T., Ajad, A., Chaudhary, K., & Elsayed, E. E. (2024). Deciphering Blood Cells - Method for Blood Cell Analysis using Microscopic Images. Journal of Modern Technology, 1(1), 9-18. https://doi.org/10.71426/jmt.v1.i1.pp9-18
[16] Conde, D. M., Verdade, R. C., Valadares, A. L. R., Mella, L. F. B., Pedro, A. O., & Costa-Paiva, L. (2021). Menopause and cognitive impairment: A narrative review of current knowledge. World journal of psychiatry, 11(8), 412–428. https://doi.org/10.5498/wjp.v11.i8.412
[17] Fan, Y., Zhang, S., & Cheng, H. (2024). Aerobic exercise boosts cognitive control in postmenopausal women: Role of heart rate variability. Frontiers in Aging Neuroscience, 16, 1212734. https://doi.org/10.3389/fnagi.2024.1212734
[18] Zhang, G. Q., Cui, L., Mueller, R., Tao, S., Kim, M., Rueschman, M., Mariani, S., Mobley, D., & Redline, S. (2018). The National Sleep Research Resource: Towards a sleep data commons. Journal of the American Medical Informatics Association, 25(10), 1351–1358. https://doi.org/10.1093/jamia/ocy064
[19] Aazad, S. K., Saini, T., Ajad, A., Chaudhary, K., & Elsayed, E. E. (2024). Deciphering Blood Cells - Method for Blood Cell Analysis using Microscopic Images. Journal of Modern Technology, 1(1), 9-18. https://doi.org/10.71426/jmt.v1.i1.pp9-18
[20] A, V., & J Avanija. (2025). AI-Driven Heart Disease Prediction Using Machine Learning and Deep Learning Techniques. International Journal of Computational and Experimental Science and Engineering, 11(2). https://doi.org/10.22399/ijcesen.1669
[21] Aazad, S. K., Saini, T., Ajad, A., Chaudhary, K., & Elsayed, E. E. (2024). Deciphering Blood Cells - Method for Blood Cell Analysis using Microscopic Images. Journal of Modern Technology, 1(1), 9-18. https://doi.org/10.71426/jmt.v1.i1.pp9-18
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