Evidence map›Paper›PMID 32971191›Full record

Observational studyAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2021

Association Between Midlife Physical Activity and Incident Kidney Disease: The Atherosclerosis Risk in Communities (ARIC) Study.

Kaushik Parvathaneni, Aditya Surapaneni, Shoshana H Ballew, Priya Palta, Casey M Rebholz, Elizabeth Selvin, Josef Coresh, Morgan E Grams

Open access · greenAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 5% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
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  8. Physical activity and cardiorenal health-from associations to interventional studies.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Review
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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

8 authors at 2 institutions in 1 country.

Kaushik ParvathaneniDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Aditya SurapaneniDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Shoshana H BallewDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Priya PaltaDivision of General Medicine, Department of Medicine, Columbia University, New York, NY.
Casey M RebholzDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Elizabeth SelvinDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Josef CoreshDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Morgan E GramsDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Division of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, MD. Electronic address: mgrams2@jhmi.edu.
Johns Hopkins University · USColumbia University · US

Funding

Physical Activity and Preservation of Cognitive FunctionR00AG052830 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PALTA, PRIYA · 2019 to 2021
$1.1M
Metabolomics for Identifying Biomarkers of Dietary Intake & Kidney Disease ProgressionK01DK107782 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI REBHOLZ, CASEY MARIE · 2016 to 2020
$778k
Research and Mentoring in the Clinical Epidemiology of Type 2 DiabetesK24DK106414 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2015 to 2019
$654k
Research and Mentoring in the Clinical Epidemiology of Cardiovascular Disease and Type 2 DiabetesK24HL152440 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2020 to 2024
$612k
Dietary Biomarkers and Cardioprotective Mechanisms of the DASH-Sodium Diet.R21HL143089 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI REBHOLZ, CASEY MARIE · 2018 to 2019
$258k
Physical Activity and Preservation of Cognitive FunctionK99AG052830 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PALTA, PRIYA · 2016 to 2017
$151k
NHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201700001CNHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002CNHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003CNHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004CNHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005CNHLBI NIH HHS HHSN268201700005INHLBI NIH HHS K24 HL152440NHLBI NIH HHS R21 HL143089NIA NIH HHS K99 AG052830NIA NIH HHS R00 AG052830NIDDK NIH HHS K01 DK107782NIDDK NIH HHS K24 DK106414
6 · The paper itself

Abstract

RATIONALE &

objectivePhysical activity is associated with lower risk for cardiovascular disease, diabetes, and hypertension, which have shared risk factor profiles with chronic kidney disease (CKD). However, there are conflicting findings regarding the relationship between physical activity and CKD. The objective was to evaluate the association between physical activity and CKD development over long-term follow-up using the Atherosclerosis Risk in Communities (ARIC) Study. STUDY

designProspective cohort study. SETTING &

participants14,537 participants aged 45 to 64 years. PREDICTORS: Baseline physical activity status was assessed using the modified Baecke Physical Activity Questionnaire at visit 1 (1987-1989) and categorized according to the 2018 Physical Activity Guidelines for Americans to group participants as inactive, insufficiently active, active, and highly active. OUTCOMES: Incident CKD defined as estimated glomerular filtration rate (eGFR)<60mL/min/1.73m ANALYTICAL APPROACH: Cox proportional hazards regression.

resultsAt baseline, 37.8%, 24.2%, 22.7%, and 15.3% of participants were classified as inactive, insufficiently active, active, and highly active, respectively. During a median follow-up of 24 years, 33.2% of participants developed CKD. After adjusting for age, sex, race-center, education, smoking status, diet quality, diabetes, coronary heart disease, hypertension, antihypertensive medication, body mass index, and baseline eGFR, higher categories of physical activity were associated with lower risk for CKD compared with the inactive group (HRs for insufficiently active, 0.95 [95% CI, 0.88-1.02]; active, 0.93 [95% CI, 0.86-1.01]; highly active, 0.89 [95% CI, 0.81-0.97]; P for trend = 0.007). LIMITATIONS: Observational design and self-reported physical activity that was based on leisure time activity only. Due to low numbers, participants who were not Black or White were excluded.

conclusionsHighly active participants had lower risk for developing CKD compared with inactive participants.

Indexed as

ExerciseRenal Insufficiency, ChronicRenal Replacement TherapyAntihypertensive AgentsCardiometabolic Risk FactorsFemaleFollow-Up StudiesGlomerular Filtration RateHospitalizationHumansLeisure ActivitiesMaleMiddle AgedRisk AssessmentRisk Reduction BehaviorSelf ReportAntihypertensive Agentsactivity levelAtherosclerosis Risk in Communities StudyChronic kidney disease (CKD)cystatin CeGFR declineestimated glomerular filtration rate (eGFR)exerciseincident CKDmodifiable risk factorphysical activityrenal function

Identifiers

PMID32971191
PMCPMC7752844
OpenAlexW3087082960

What OpenQuestion holds

Textmetadata
LicenceTDM
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Registered trials

None linked

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.