Associations Between Physical Activity and Age-Related Anti-Mullerian Hormone Decline: Insights from All of Us Research Program

Authors

  • Paige Coyne PhD Departamento de Ciencias de la Salud Pública, Henry Ford Health; Henry Ford Health + Michigan State University Health Sciences; Departamento de Epidemiología y Bioestadística, College of Human Medicine, Michigan State University, USA.
  • Robert Leone MD Departamento de Ciencias de la Salud Pública, Henry Ford Health; Facultad de Medicina, Wayne State University, USA.ry Ford Health + Michigan State University Health Sciences, USA
  • Ze Meng MS Departamento de Ciencias de la Salud Pública, Henry Ford Health, USA.epartment of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University.
  • Richard E Leach MD, FACOG, FACSHenry Ford Health + Michigan State University Health Sciences; Departamento de Obstetricia, Ginecología y Biología Reproductiva, College of Human Medicine, Michigan State University; Departamento de Obstetricia, Ginecología y Servicios de Salud de la Mujer, Henry Ford Health, USA.
  • Sara Santarossa PhD Departamento de Ciencias de la Salud Pública, Henry Ford Health; Henry Ford Health + Michigan State University Health Sciences; Departamento de Obstetricia, Ginecología y Biología Reproductiva, College of Human Medicine, Michigan State University, USA.

DOI:

https://doi.org/10.5195/ijms.2023.3083

Keywords:

Fitbit, fertility, fecundity, women, exercise

Abstract

Background: Anti-mullerian hormone (AMH) is used to measure ovarian reserve and female fertility levels. Physical activity is thought to influence fertility and warrants further investigation, especially using objective measures. Methods: Using the All of Us Research Program dataset, the relationship between normal age-based decline in AMH and levels of physical activity were examined. Inclusion criteria were: ≥ 1 AMH test in electronic health record, AMH level < 7 ng/ml, and ≥ 30 days of valid Fitbit data within 1 year prior to AMH test. Final dataset included 24 participants. Results: Generalized linear regression models were fitted between log transformed AMH level and daily average activity intensity minutes (sedentary, lightly active, fairly active and very active) and daily step counts. Daily average of “very active” minutes showed a trend towards a positive effect on preventing the decline of AMH levels (B = 0.02 (95% CI 0-0.04), p = 0.136), though results were not statistically significant. Conclusion: Despite its small sample size, this study is one of the first to report a positive correlation, approaching significance, between objectively measured physical activity and preserving AMH, suggesting that daily high intensity physical activity may extend ovarian reserve. Further studies, with large, diverse samples are needed to provide clearer numbers for optimal engagement in physical activity and AMH level for fertility.

References

Control CFD. Infertility 2023 [Available from: https://www.cdc.gov/nchs/fastats/infertility.htm.

Control CfD. Infertility: Frequently Asked Questions 2024 [Available from: https://www.cdc.gov/reproductive-health/infertility-faq/?CDC_AAref_Val=https://www.cdc.gov/reproductivehealth/infertility/index.htm.

Schmidt L, Sobotka T, Bentzen JG, Nyboe Andersen A, Reproduction E, Force ST. Demographic and medical consequences of the postponement of parenthood. Human reproduction update. 2012;18(1):29-43.

Vander Borght M, Wyns C. Fertility and infertility: Definition and epidemiology. Clinical biochemistry. 2018;62:2-10.

Mussawar M, Balsom AA, de Zepetnek JOT, Gordon JL. The effect of physical activity on fertility: a mini-review. F&S Reports. 2023.

Brinson AK, da Silva SG, Hesketh KR, Evenson KR. Impact of Physical Activity and Sedentary Behavior on Spontaneous Female and Male Fertility: A Systematic Review. Journal of Physical Activity and Health. 2023;20(7):600-15.

Hakimi O, Cameron L-C. Effect of exercise on ovulation: a systematic review. Sports Medicine. 2017;47:1555-67.

Kiranmayee D, Praveena T, Himabindu Y, Sriharibabu M, Kavya K, Mahalakshmi M. The effect of moderate physical activity on ovarian reserve markers in reproductive age women below and above 30 years. Journal of Human Reproductive Sciences. 2017;10(1):44-8.

Zhao F, Hong X, Wang W, Wu J, Wang B. Effects of physical activity and sleep duration on fertility: A systematic review and meta-analysis based on prospective cohort studies. Frontiers in public health. 2022;10:1029469.

Investigators AoURP. The “All of Us” research program. New England Journal of Medicine. 2019;381(7):668-76.

Mayo KR, Basford MA, Carroll RJ, Dillon M, Fullen H, Leung J, et al. The All of Us Data and Research Center: creating a secure, scalable, and sustainable ecosystem for biomedical research. Annual review of biomedical data science. 2023;6(1):443-64.

Visser JA, de Jong FH, Laven JS, Themmen AP. Anti-Mullerian hormone: a new marker for ovarian function. Reproduction. 2006;131(1):1-9.

Marques IG, Kitsiou S, Gerber BS, Buchholz SW, Bustamante EE, Marquez DX. Feasibility of a Latin dance program with mHealth for middle-aged and older Latinxs (BAILA TECH). Translational Journal of the American College of Sports Medicine. 2021;6(1):e000143.

Speier W, Dzubur E, Zide M, Shufelt C, Joung S, Van Eyk JE, et al. Evaluating utility and compliance in a patient-based eHealth study using continuous-time heart rate and activity trackers. Journal of the American Medical Informatics Association. 2018;25(10):1386-91.

Browser. AoUPD. Data Browser 2023 [Available from: https://databrowser.researchallofus.org/.

Dayal M, Sagar S, Chaurasia A, Singh U. Anti-mullerian hormone: a new marker of ovarian function. The Journal of Obstetrics and Gynecology of India. 2014;64:130-3.

Fitbit. Fitbit Web API Data Dictionary 2023 [Available from: https://enterprise.fitbit.com/wp-content/uploads/Fitbit-Web-API-Data-Dictionary-Downloadable-Version-2023.pdf.

Omura JD, Carlson SA, Paul P, Watson KB, Fulton JE. National physical activity surveillance: Users of wearable activity monitors as a potential data source. Preventive Medicine Reports. 2017;5:124-6.

Strain T, Wijndaele K, Brage S. Physical activity surveillance through smartphone apps and wearable trackers: examining the UK potential for nationally representative sampling. JMIR mHealth and uHealth. 2019;7(1):e11898.

The image presents a table summarizing the cohort characteristics, showing mean values and standard deviations for key variables. The reported measures include AMH levels of 2.30 ng/ml (SD 2.05), an average of 808.14 sedentary minutes per day (SD 180.85), 12.10 minutes of moderate to fairly active activity per day (SD 8.18), and a daily step count of 6,897.51 (SD 2,578.99).

Published

2025-07-28

How to Cite

Coyne, P., Leone, R., Meng, Z., Leach, R. E., & Santarossa, S. (2025). Associations Between Physical Activity and Age-Related Anti-Mullerian Hormone Decline: Insights from All of Us Research Program. International Journal of Medical Students, 13(3), 303–307. https://doi.org/10.5195/ijms.2023.3083

Issue

Section

Short Communication