Women at Altitude: Menstrual-Cycle Phase, Menopause, and Exogenous Progesterone Are Not Associated with Acute Mountain Sickness.
Laurel GardnerLinda E KeyesCaleb PhillipsElan SmallTejaswi AdhikariNathan BarottKen ZafrenRony MaharjanJames MarvelPublished in: High altitude medicine & biology (2024)
Gardner, Laurel, Linda E. Keyes, Caleb Phillips, Elan Small, Tejaswi Adhikari, Nathan Barott, Ken Zafren, Rony Maharjan, and James Marvel. Women at altitude: Menstrual-cycle phase, menopause, and exogenous progesterone are not associated with acute mountain sickness. High Alt Med Biol. 00:000-000, 2024. Background: Elevated progesterone levels in women may protect against acute mountain sickness (AMS). The impact of hormonal contraception (HC) on AMS is unknown. We examined the effect of natural and exogenous progesterone on the occurrence of AMS. Methods: We conducted a prospective observational convenience study of female trekkers in Lobuche (4,940 m) and Manang (3,519 m). We collected data on last menstrual period, use of exogenous hormones, and development of AMS. Results: There were 1,161 trekkers who met inclusion criteria, of whom 307 (26%) had AMS. There was no significant difference in occurrence of AMS between women in the follicular (28%) and the luteal (25%) phases of menstruation ( p = 0.48). The proportion of premenopausal (25%) versus postmenopausal women (30%) with AMS did not differ ( p = 0.33). The use of HC did not influence the occurrence of AMS (HC 23% vs. no HC 26%, p = 0.47), nor did hormonal replacement therapy (HRT) (HRT 11% vs. no HRT 31%, p = 0.13). Conclusion: We found no relationship between menstrual-cycle phase, menopausal status, or use of exogenous progesterone and the occurrence of AMS in trekkers and conclude that hormonal status is not a risk factor for AMS. Furthermore, women should not be excluded from future AMS studies based on hormonal status.
Keyphrases
- polycystic ovary syndrome
- risk assessment
- liver failure
- breast cancer risk
- insulin resistance
- pregnancy outcomes
- replacement therapy
- postmenopausal women
- cervical cancer screening
- drug induced
- machine learning
- skeletal muscle
- adipose tissue
- electronic health record
- bone mineral density
- tyrosine kinase
- body composition
- deep learning