目的:肥胖和高体重指数(BMI)被认为是腹壁疝(AWH)的危险因素。然而,体脂分布(BFD)的人体测量似乎是疝气领域的更好指标。本孟德尔随机化分析旨在为腰部环境(WC)的影响提供更有力的证据,身体,树干,手臂,和腿部脂肪百分比(BFP,TFP,法新社,LFP)在AWH上。
方法:采用单变量MR设计,从全基因组关联研究(GWAS)获得允许评估的汇总统计。采用逆方差加权(IVW)方法作为主要分析,比值比值用于评估BFD和AWH之间的因果关系。
结果:MR-Egger回归截距均未偏离null,表明没有水平多效性的证据(p>0.05)。CochranQ检验显示WC的遗传IVs之间存在异质性(p=0.005;p=0.005),全要素生产率(p<0.001;p<0.001),AFP-L(p=0.016;p=0.015),LFP-R(p=0.012;p=0.009),和LFP-L(p<0.001;p<0.001)。以IVW随机效应模型为金标准,遗传确定的WC中的每个标准偏差增量,BFP,TFP,AFP-R,AFP-L,LFP-R,LFP-L将AWH的风险提高了70.9%,70.7%,56.5%,69.7%,78.3%,87.7%,72.5%,分别。
结论:这项研究证明了AWH和BFD之间的因果关系,吸引了从BMI到BFD的更多关注。它提供了基于证据的医学证据,表明健康的身材管理可以预防AWH。
OBJECTIVE: Obesity and a high body mass index (BMI) are considered as risk factors for abdominal wall hernia (AWH). However, anthropometric measures of body fat distribution (BFD) seem to be better indicators in the hernia field. This Mendelian randomization analysis aimed to generate more robust evidence for the impact of waist circumstance (WC), body, trunk, arm, and leg fat percentages (BFP, TFP, AFP, LFP) on AWH.
METHODS: A univariable MR design was employed and the summary statistics allowing for assessment were obtained from the genome-wide association studies (GWASs). An inverse variance weighted (IVW) method was applied as the primary analysis, and the odds ratio value was used to evaluate the causal relationship between BFD and AWH.
RESULTS: None of the MR-Egger regression intercepts deviated from null, indicating no evidence of horizontal pleiotropy (p > 0.05). The Cochran Q test showed heterogeneity between the genetic IVs for WC (p = 0.005; p = 0.005), TFP (p < 0.001; p < 0.001), AFP-L (p = 0.016; p = 0.015), LFP-R (p = 0.012; p = 0.009), and LFP-L (p < 0.001; p < 0.001). Taking the IVW random-effects model as gold standard, each standard deviation increment in genetically determined WC, BFP, TFP, AFP-R, AFP-L, LFP-R, and LFP-L raised the risk of AWH by 70.9%, 70.7%, 56.5%, 69.7%, 78.3%, 87.7%, and 72.5%, respectively.
CONCLUSIONS: This study proves the causal relationship between AWH and BFD, attracting more attention from BMI to BFD. It provides evidence-based medical evidence that healthy figure management can prevent AWH.