Research Mentor Name

Dr. Sara Santarossa

Research Mentor Email Address

Institution / Department

Henry Ford Health System

Document Type

Research Abstract

Research Type


Level of Research



Anti-Mullerian Hormone (AMH) is used to measure female fertility levels. Physical activity (PA) has previously been linked to increases in fertility rates. We explored associations between age related decline in AMH and PA, hypothesizing that consistent PA would lead to a lessened decline of AMH levels. This study is a secondary data analysis, sourced from the NIH’s All of Us Research Program database. Inclusion criteria for participant data : a) ≥1 AMH test record in their electronic health records, b) AMH level of < 7ng/ml, and c) ≥30 days of valid Fitbit data within 1 year prior to AMH test date. A series of generalized linear regression models were conducted between normalized AMH level and four different daily average activity intensity minutes based on metabolic equivalents (sedentary, lightly active, fairly active, and very active) and daily step count, adjusting for age at AMH test. The final dataset included 24 participants. Daily average of “very active” minutes had a strong positive effect on lessening the decline of AMH levels (β=0.0159, p=0.136). Two clusters (C1 and C2) were identified by applying the Kmeans method. C1 (N=9) has significantly higher daily “fairly active” minutes (C1: 19.61(8.05) vs C2: 7.59(3.81)) and daily “very active” minutes (C1: 22.81(10.23) vs C2: 8.95(5.12)) compared to C2 (N=15). In an association analysis, C1 AMH level is higher than C2 (0.35(-0.10,1.03), p=0.162. There may be an association between being very active and a preservation of AMH, which could be valuable to providers counseling women prolonging motherhood.


Medicine and Health Sciences | Women's Health


This paper was made possible by Henry Ford Health System and NIH All of Us data set.