Evidence map›Paper›PMID 41572052›Full record

ArticleInternational urology and nephrology2026

Association between allostatic load and chronic kidney disease: findings from the NHANES 2015-2018 study.

Qin Li, Keming Zhao, Lingling Wu, Hua Zhang

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Article in International urology and nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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4 authors.

Qin LiDepartment of Nephrology Ward, Shandong Provincial Zibo Central Hospital, Zibo, 255036, Shandong, China.
Keming ZhaoDepartment of Nephrology Ward, Shandong Provincial Zibo Central Hospital, Zibo, 255036, Shandong, China.
Lingling WuDepartment of Nephrology Ward, Shandong Provincial Zibo Central Hospital, Zibo, 255036, Shandong, China.
Hua ZhangDepartment of Critical Care Medicine, Shandong Provincial Zibo Central Hospital, No. 54 Gongqingtuan West Road, Zhangdian District, Zibo, 255036, Shandong, China. 18678186816@163.com.

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6 · The paper itself

Abstract

objectiveThe allostatic load (AL) is a composite measure of multisystem physiological dysregulation, reflecting the cumulative adverse effects of chronic stress on health outcomes. This study was conducted with the objective of elucidating the association between AL and chronic kidney disease (CKD) by analyzing data derived from a nationally representative cohort of U.S. adults.

methodsWe conducted a cross-sectional analysis based on data from the National Health and Nutrition Examination Survey (NHANES) spaning from 2015 to 2018. The AL was calculated based on laboratory assessments of eight biomarkers-systolic blood pressure (SBP), diastolic blood pressure, body mass index (BMI = weight [kg] divided by height [m

results9,495 participants were incorporated into our analysis. AL was found to be significantly positively associated with CKD in weighted logistic regression analysis (odds ratio = 1.27, 95% confidence interval: 1.22-1.33). Among the eight biomarkers comprising the AL index, HDL cholesterol, SBP, BMI, HbA1c, and Alb were identified as significant predictors of CKD risk in fully adjusted models (P < 0.001). Restricted cubic spline analysis confirmed a positive link between AL and CKD. Subgroup analyses further revealed a significant interaction effect of sex on the AL-CKD relationship.

conclusionThis cross-sectional study elucidates the association between AL and CKD, highlighting the potential influence of demographic factors. Elevated AL were demonstrated to be in close association with increased CKD prevalence, with SBP and HbA1c identified as critical contributors to CKD risk. While these findings enhance comprehension of the link between AL and CKD, additional research is required for further validation.

Indexed as

AllostasisRenal Insufficiency, ChronicAdultBiomarkersCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysUnited StatesBiomarkersAllostatic loadChronic kidney diseaseCross-sectional analysisNHANES

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.