Department of Urology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama.
Department of Biostatistics, School of Public Health, The University of Alabama at Birmingham, Birmingham, Alabama.
Am J Prev Med. 2022 Jul;63(1 Suppl 1):S93-S102. doi: 10.1016/j.amepre.2022.01.033.
Obesity is associated with kidney stone disease, but it is unknown whether this association differs by SES. This study assessed the extent to which obesity and neighborhood characteristics jointly contribute to urinary risk factors for kidney stone disease.
This was a retrospective analysis of adult patients with kidney stone disease evaluated with 24-hour urine collection (2001-2020). Neighborhood-level socioeconomic data were obtained for a principal component analysis, which identified 3 linearly independent factors. Associations between these factors and 24-hour urine measurements were assessed using linear regression as well as groupings of 24-hour urine results using multivariable logistic regression. Finally, multiplicative interactions were assessed testing effect modification by obesity, and analyses stratified by obesity were performed. Analyses were performed in 2021.
In total, 1,264 patients met the study criteria. Factors retained on principal component analysis represented SES, family structure, and housing characteristics. On linear regression, there was a significant inverse correlation between SES and 24-hour urine sodium (p=0.0002). On multivariable logistic regression, obesity was associated with increased odds of multiple stone risk factors (OR=1.61; 95% CI=1.15, 2.26) and multiple dietary factors (OR=1.33; 95% CI=1.06, 1.67). No significant and consistent multiplicative interactions were observed between obesity and quartiles of neighborhood SES, family structure, or housing characteristics.
Obesity was associated with the presence of multiple stone risk factors and multiple dietary factors; however, the strength and magnitude of these associations did not vary significantly by neighborhood SES, family structure, and housing characteristics.
肥胖与肾结石病有关,但尚不清楚这种关联是否因社会经济地位(SES)而异。本研究评估了肥胖和社区特征共同对肾结石病尿危险因素的影响程度。
这是一项对接受 24 小时尿液收集(2001-2020 年)评估的肾结石病成年患者进行的回顾性分析。为主要成分分析获得了社区层面的社会经济数据,该分析确定了 3 个线性独立因素。使用线性回归以及使用多变量逻辑回归对 24 小时尿液结果进行分组,评估这些因素与 24 小时尿液测量值之间的关联。最后,通过肥胖测试了乘法交互作用,并对肥胖分层进行了分析。分析于 2021 年进行。
共有 1264 名患者符合研究标准。主成分分析保留的因素代表 SES、家庭结构和住房特征。在线性回归中,SES 与 24 小时尿液钠之间呈显著负相关(p=0.0002)。在多变量逻辑回归中,肥胖与多种结石危险因素(OR=1.61;95%CI=1.15,2.26)和多种饮食因素(OR=1.33;95%CI=1.06,1.67)的发生几率增加相关。肥胖与社区 SES、家庭结构或住房特征的四分位数之间未观察到明显且一致的乘法交互作用。
肥胖与多种结石危险因素和多种饮食因素的存在有关;然而,这些关联的强度和幅度与社区 SES、家庭结构和住房特征没有显著差异。