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The association of phenotypic age acceleration with erectile dysfunction among adult males in the United States: A cross-sectional study based on NHANES 2001-2004 database

全国健康与营养检查调查 逻辑回归 人口学 医学 勃起功能障碍 多元统计 队列 多元分析 人口 横断面研究 老年学 内科学 统计 数学 病理 环境卫生 社会学
作者
Yiwen Zhou,Yuxi Cai,Pengfei Zheng,Xinglin Chen,Zhanglei Mu,Chenyang Xu,Shanhua Mao
出处
期刊:Research Square - Research Square
标识
DOI:10.21203/rs.3.rs-5557383/v1
摘要

Abstract Objective The purpose of this study is to examine the relationship between phenotypic age acceleration (PhenoAgeAccel) and erectile dysfunction (ED) in US males, utilizing data from the National Health and Nutrition Examination Survey (NHANES) collected between 2001 and 2004.Methods This study explored the relationship between PhenoAgeAccel and ED by analyzing a sample reflecting the male population of the United States (n = 1,977; NHANES 2001–2004). Phenotypic age (PA) is calculated using nine blood-based biomarkers. PhenoAgeAccel was calculated by extracting the residuals and regressing the phenotypic age on the chronological age (CA). The evaluation of ED was based on a single-item measure of self-reported erection problems derived from the Massachusetts Male Aging Study. This research used multivariable logistic models to examine the connection between PhenoAgeAccel and ED. Additionally, it included subgroup and interaction analyses to assess variations among different groups. Smoothed curve fitting and generalized additive modelling (GAM) were also employed to analyze the data further.Results The study cohort comprised 1,977 subjects, of whom 559 were diagnosed with ED and 1,418 were not. The weighted multivariate logistic regression model indicated that there was a 3% higher probability of ED for each unit increase in PhenoAgeAccel (OR: 1.03, 95% CI: 1.01–1.06) after accounting for all covariates. The results of the subgroup analysis were consistent across all categories, indicating a significant positive correlation between PhenoAgeAccel and ED. The results of the interaction tests demonstrated that the positive correlation between PhenoAgeAccel and ED remained consistent, with all interaction p-values exceeding 0.05. Additionally, a non-linear relationship was identified between PhenoAgeAccel and ED, whereby an elevated PhenoAgeAccel was associated with a progressive increase in the risk of ED, exhibiting a J-shaped curve (inflection point: -0.86, p < 0.05).Conclusions The findings of our study indicate that an increase in PhenoAgeAccel may be associated with an elevated risk of developing ED. Consequently, PhenoAgeAccel represents a promising biomarker for the early identification of individuals at risk for ED, with significant implications for the management of men's health and the implementation of public health nutrition strategies.
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