Background: Following the implementation of contraception and abortion in the twentieth and twenty-first centuries, there was an unexplained increase in the prevalence of kidney illnesses.
The goal is to find an altruistic association between the rise in the prevalence of kidney disorders – metabolic syndrome – and the use of contraception as a possible cause [if any].
Methods: In 2012, a retrospective analysis of the prevalence of renal diseases in 350 patients aged 20-35 years, 35-50 years, and >50 years, based on data collected by convenient, stratified random sampling from various geographical locations between 2003 and 2012, and its association with contraception, abortion, and other variables was conducted, including many variables; concurrently, serum oestrogen levels were measured. From 1989 to 2012, clinical practise identified 403 people with a variety of disorders after consuming fish without scales or gills, 97 of whom had nephritis, and they were also investigated for a link to contraceptive status.
Results: Contraception was linked to a 2.5-4 fold increase in renal diseases in people aged 20 to 50 years [p0.0005] and a 1.5 fold increase in people aged >50 years [p0.025]; consumption of fish without scales or gills [prawns, crabs, shellfish] combined with contraception was linked to a 30- 40 fold increase in renal diseases in people aged 20 to 50 years [p0.0005].
Conclusion: Contraception causes smashed, agonising fragmentation of germ cells, with negative feedback to the hypothalamic pituitary axis, resulting in decreased endogenous oestrogen or androgen, defaulted genomic repertoire, deranged cell metabolism, and cell cycle, and increased degeneration with cons. After fibrosis, a 275 percent increase in the incidence of diseases, including renal pathology, is noted; after hysterectomy, a 500 percent increase in the prevalence of diseases is observed.
As a cause and effect phenomenon, contraception reversal decreased diseases due to restored normal germ cell path traversal and hormone return of 79.9% [of matching normal for age].
Author (s) Details
Elizabeth JeyaVardhini Samuel
Department of General Medicine, Pondicherry Institute of Medical Sciences, India.
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