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Childhood socioeconomic status, comorbidity of chronic kidney disease risk factors, and kidney function among adults in the midlife in the United States (MIDUS) study
Journal article   Open access   Peer reviewed

Childhood socioeconomic status, comorbidity of chronic kidney disease risk factors, and kidney function among adults in the midlife in the United States (MIDUS) study

Agus Surachman, Jonathan Daw, Bethany C. Bray, Lacy M. Alexander, Christopher L. Coe and David M. Almeida
BMC nephrology, v 21(1), pp 188-188
19 May 2020
DOI: https://doi.org/10.1186/s12882-020-01846-1
PMID: 32429854
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.1186/s12882-020-01846-1View
Published, Version of Record (VoR) Open

Abstract

Life Sciences & Biomedicine Science & Technology Urology & Nephrology
Background There is a lack of empirical effort that systematically investigates the clustering of comorbidity among known risk factors (obesity, hypertension, diabetes, hypercholesterolemia, and elevated inflammation) of chronic kidney disease (CKD) and how different types of comorbidity may link differently to kidney function among healthy adult samples. This study modeled the clustering of comorbidity among risk factors, examined the association between the clustering of risk factors and kidney function, and tested whether the clustering of risk factors was associated with childhood SES. Methods The data were from 2118 participants (ages 25-84) in the Midlife in the United States (MIDUS) Study. Risk factors included obesity, elevated blood pressure (BP), high total cholesterol levels, poor glucose control, and increased inflammatory activity. Glomerular filtration rate (eGFR) was estimated from serum creatinine, calculated with the CKD-EPI formula. The clustering of comorbidity among risk factors and its association with kidney function and childhood SES were examined using latent class analysis (LCA). Results A five-class model was optimal: (1) Low Risk (class size = 36.40%; low probability of all risk factors), (2) Obese (16.42%; high probability of large BMI and abdominally obese), (3) Obese and Elevated BP (13.37%; high probability of being obese and having elevated BP), (4) Non-Obese but Elevated BP (14.95%; high probability of having elevated BP, hypercholesterolemia, and elevated inflammation), and (5) High Risk (18.86%; high probability for all risk factors). Obesity was associated with kidney hyperfiltration, while comorbidity between obesity and hypertension was linked to compromised kidney filtration. As expected, the High Risk class showed the highest probability of having eGFR < 60 ml/min/1.73 m(2) (P = .12; 95%CI = .09-.17). Finally, higher childhood SES was associated with reduced probability of being in the High Risk rather than Low Risk class (beta = - 0.20, SE = 0.07, OR [95%CI] = 0.82 [0.71-0.95]). Conclusion These results highlight the importance of considering the impact of childhood SES on risk factors known to be associated with CKD.

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6 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
Web of Science research areas
Urology & Nephrology
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