Age at Natural Menopause in Women Living with HIV: A Cross-Sectional Study Comparing Self-Reported and Biochemical Data.
Shayda A SwannElizabeth M KingShelly TognazziniAmber R CampbellSofia L A LevyNeora PickJerilynn C PriorChelsea ElwoodMona LoutfyValerie NicholsonAngela KaidaHélène C F CôtéMelanie Caroline Margaret MurrayPublished in: Viruses (2023)
Early menopause (<45 years) has significant impacts on bone, cardiovascular, and cognitive health. Several studies have suggested earlier menopause for women living with HIV; however, the current literature is limited by reliance on self-report data. We determined age at menopause in women living with HIV and socio-demographically similar HIV-negative women based on both self-report of menopause status (no menses for ≥12 months) and biochemical confirmation (defined as above plus follicle-stimulating hormone level ≥ 25 IU/mL). Multivariable median regression models assessed factors associated with menopause age, controlling for relevant confounders. Overall, 91 women living with HIV and 98 HIV-negative women were categorized as menopausal by self-report, compared to 83 and 92 by biochemical confirmation. Age at menopause did not differ significantly between groups, whether based on self-report (median [IQR]: 49.0 [45.3 to 53.0] vs. 50.0 [46.0 to 53.0] years; p = 0.28) or biochemical confirmation (50.0 [46.0 to 53.0] vs. 51.0 [46.0 to 53.0] years; p = 0.54). In the multivariable model, no HIV-related or psychosocial variables were associated with earlier age at menopause (all p > 0.05). Overall, HIV status per se was not statistically associated with an earlier age at menopause, emphasizing the importance of comparing socio-demographically similar women in reproductive health and HIV research.
Keyphrases
- polycystic ovary syndrome
- postmenopausal women
- antiretroviral therapy
- hiv positive
- hiv infected
- human immunodeficiency virus
- hiv testing
- hepatitis c virus
- pregnancy outcomes
- hiv aids
- cervical cancer screening
- public health
- men who have sex with men
- mental health
- breast cancer risk
- systematic review
- healthcare
- pregnant women
- bone mineral density
- adipose tissue
- electronic health record
- social media
- risk factors
- drug induced
- health information
- artificial intelligence
- type diabetes
- deep learning