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Life course reproductive dynamics associated with menopause in Ugandan women aged 40-49
Murylo Sforcin Batista1, Yvonne Tsitsiou1,2, Sabeera Dar1,3
1Polygeia, London, UK.
Background:
Early menopausal onset can increase adverse health outcomes in later life; meanwhile, reproductive experiences before menopause may affect its timing. Framed by life course methodology, the study tested for independent and interdependent associations between reproductive history (contraception, age at first birth, parity, terminated pregnancy) and socioeconomic factors (education, wealth, rural-urban residence, cigarette use, marital status, age at first cohabitation) with the occurrence of early menopause.
Methods:
The study population was ever-married women aged 40-49 from the 2016 Demographic & Health Survey (N = 2748). Analytical methods involved probability- and age-adjusted multivariate logistic regression models and predictive margins.
Results:
Connections between reproductive and socioeconomic characteristics were key dynamics associated with menopause in ages 40-49. Contraception, parity, and ages at first birth and marriage were found to be independently associated with menopause in this age group. Evidence of interactions was found where no contraceptive use was associated with higher probabilities of menopause for first-time mothers aged 12-15 and for women with no education.
Conclusions:
Studying Ugandan women's reproductive histories highlighted the importance of regional knowledge about menopause. Though we hypothesized that risks would correlate in a chain, the results pointed to risks clustering around contraception, suggesting that improving contraceptive use and education for women could increase menopausal age. Furthermore, the positive association between low parity and early menopause supports the biological mechanism of faster oocyte depletion; however, high-parity populations like Uganda tend to have a younger menopausal age than low-parity populations. Declining mortality in the demographic transition could explain these inverse associations.
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