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Published on: June 29, 2018
The negligible biological impact of reproductive history on aging: a high-resolution variance analysis
1Department of Computer Science and Engineering Bologna, University of Bologna, Bologna, Italy.
Abstract:
Modern epigenetics increasingly employs biological clocks to quantify the impact of women's reproductive history on aging, with a very recent study claiming that childbearing significantly decelerates biological senescence in women. This article critically re-examines these claims, challenging the growing trend of biological determinism imposed on reproductive choices. By performing a secondary upper-bound analysis on demographic and epigenetic data, we quantify the predictive power of reproductive history relative to the dominant influence of genetic and stochastic factors. Our analysis reveals that a reported 1-year acceleration in biological aging for women without children, while statistically significant in massive cohorts, possesses negligible explanatory power. When evaluated against the standard deviation of high-longevity populations, this 1-year shift corresponds to ∼1.2% of variance scale in female lifespan, leaving 98.8% governed by stochastic noise. With a standardized effect size near zero (d = 0.11) and a survival distribution overlap of 95.6% between groups, the epigenetic signals attributed to childbearing are shown to be practically irrelevant for individual life expectancy. These findings demonstrate how microscopic p-values in large-scale datasets can alter scientific reality thus generating unjustified societal anxiety. This work calls for a return to scientific realism in biometrics, distinguishing between molecular non-sequiturs and tangible health outcomes to prevent the pathologization of reproductive trajectories and defend the fundamental stochastic freedom of human life (i.e., the inherent randomness and unpredictability of human lifespan).
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