Using Daily Hormone Tracking to Uncover the Effect of Anxiety and Sleep on Perimenopausal Hormone Fluctuations [ID 1755]

INTRODUCTION: This study explores the relationship between anxiety, sleep duration, and daily hormonal levels in a broad user base of perimenopausal women, aiming to provide a comprehensive understanding of hormonal fluctuations during this transition. METHODS: One hundred sixty-one perimenopausal women were monitored using the Oova platform, which measures luteinizing hormone (LH), urinary progesterone (PdG), and urinary estrogen (E3G) via a urine-based lateral flow and multiplexed immunoassay with AI-powered image processing. Participants reported symptoms using the Oova app. Patients recorded sleep duration each night and any anxiety experienced throughout the day. Hormone levels were measured daily for at least 15 consecutive days to identify trends. Statistical analysis used Welch’s two-sided t-tests for the differing, unpaired sample sizes. RESULTS: The study included participants with a mean age of 44.7 years. Welch’s two-sided t-tests compared hormonal changes with sleep duration and anxiety levels. Although no significant differences were observed in LH and PdG levels across varying sleep durations, E3G levels were significantly higher in participants sleeping 9+ hours than those sleeping 3–6 hours ( P <.0007). A strong association between E3G and anxiety was also noted; women with moderate anxiety had significantly lower E3G levels than those without anxiety ( P <.006). These findings suggest a correlation between higher urinary E3G, improved sleep, and reduced anxiety. CONCLUSIONS/IMPLICATIONS: Perimenopausal treatment often focuses solely on symptoms. Our results emphasize a significant correlation between experienced symptoms and hormone patterns, suggesting that daily hormone trends should be considered when assessing symptoms during perimenopause.