Evidence map›Paper›PMID 32429854›Full record

ArticleBMC nephrology2020

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, David M Almeida

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Agus SurachmanDepartment of Human Development and Family Studies/ Center for Healthy Aging, The Pennsylvania State University, 405 Biobehavioral Health (BBH) Building, University Park, PA, 16802, USA. axs527@psu.edu.ORCID 0000-0001-7474-9450
Jonathan DawDepartment of Sociology, The Pennsylvania State University, University Park, PA, USA.
Bethany C BrayThe Methodology Center, The Pennsylvania State University, University Park, PA, USA.
Lacy M AlexanderCenter for Healthy Aging, The Pennsylvania State University, University Park, PA, USA.
Christopher L CoeDepartment of Psychology, University of Wisconsin - Madison, Madison, WI, USA.
David M AlmeidaDepartment of Human Development and Family Studies/ Center for Healthy Aging, The Pennsylvania State University, 405 Biobehavioral Health (BBH) Building, University Park, PA, 16802, USA.
Pennsylvania State University · USUniversity of Wisconsin–Madison · US

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
U19 MIDlife in the United States-Diversity Supplement-WellsU19AG051426 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CAROL D. RYFF · 2016 to 2026
$74.8M
STATISTICS COREP01AG020166 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RYFF, CAROL D. · 2002 to 2015
$50.6M
Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LI, RUNZE · 2015 to 2019
$13.9M
Psychosocial Determinants and Biological Pathway to Healthy Aging (Pathways)T32AG049676 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LYNN M. MARTIRE · 2016 to 2026
$3.9M
Social Network Interventions to Reduce Race Disparities in Living Kidney DonationR01DK114888 · NIDDK · PENNSYLVANIA STATE UNIVERSITY, THE · PI DAW, JONATHAN KYLE · 2017 to 2021
$1.2M
Longitudinal Perspectives on Race and Health in MIDUS: Insights from MilwaukeeR01AG047154 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RYFF, CAROL D. · 2015 to 2017
$1000k
NCATS NIH HHS UL1 TR002373NIA NIH HHS P01 AG020166NIA NIH HHS R01 AG047154NIA NIH HHS T32 AG049676NIA NIH HHS U19 AG051426NIDA NIH HHS P50 DA039838NIDDK NIH HHS R01 DK114888
6 · The paper itself

Abstract

backgroundThere 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.

methodsThe 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).

resultsA 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

conclusionThese results highlight the importance of considering the impact of childhood SES on risk factors known to be associated with CKD.

Indexed as

Glomerular Filtration RateSocial ClassAdultAgedAged, 80 and overComorbidityCreatinineDiabetes MellitusEconomic StatusEducational StatusFemaleHumansHypercholesterolemiaHypertensionInflammationLatent Class AnalysisCreatinineDiabetesEarly adversityHypertensionKidney diseaseObesitySocioeconomic status

Identifiers

PMID32429854
PMCPMC7236129
OpenAlexW3028583445

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.