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


Journal

American journal of kidney diseases : the official journal of the National Kidney Foundation
ISSN: 1523-6838
Titre abrégé: Am J Kidney Dis
Pays: United States
ID NLM: 8110075

Informations de publication

Date de publication:
01 2021
Historique:
received: 06 12 2019
accepted: 07 07 2020
pubmed: 25 9 2020
medline: 5 2 2021
entrez: 24 9 2020
Statut: ppublish

Résumé

Physical 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. Prospective cohort study. 14,537 participants aged 45 to 64 years. 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. Incident CKD defined as estimated glomerular filtration rate (eGFR)<60mL/min/1.73m Cox proportional hazards regression. At 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). 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. Highly active participants had lower risk for developing CKD compared with inactive participants.

Identifiants

pubmed: 32971191
pii: S0272-6386(20)30940-9
doi: 10.1053/j.ajkd.2020.07.020
pmc: PMC7752844
mid: NIHMS1640088
pii:
doi:

Substances chimiques

Antihypertensive Agents 0

Types de publication

Journal Article Observational Study Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

74-81

Subventions

Organisme : NHLBI NIH HHS
ID : K24 HL152440
Pays : United States
Organisme : NIDDK NIH HHS
ID : K01 DK107782
Pays : United States
Organisme : NHLBI NIH HHS
ID : R21 HL143089
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700002C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700001I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201100009C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700003I
Pays : United States
Organisme : NIA NIH HHS
ID : K99 AG052830
Pays : United States
Organisme : NIDDK NIH HHS
ID : K24 DK106414
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700004I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700005C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700001C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700003C
Pays : United States
Organisme : NIA NIH HHS
ID : R00 AG052830
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700004C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700002I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700005I
Pays : United States

Informations de copyright

Copyright © 2020 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

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Auteurs

Kaushik Parvathaneni (K)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Aditya Surapaneni (A)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Shoshana H Ballew (SH)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Priya Palta (P)

Division of General Medicine, Department of Medicine, Columbia University, New York, NY.

Casey M Rebholz (CM)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Elizabeth Selvin (E)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Josef Coresh (J)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Morgan E Grams (ME)

Department 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.

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Classifications MeSH