Sociodemographic and Kidney Disease Correlates of Nutrient Intakes Among Urban African Americans With Uncontrolled Hypertension.


Journal

Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation
ISSN: 1532-8503
Titre abrégé: J Ren Nutr
Pays: United States
ID NLM: 9112938

Informations de publication

Date de publication:
09 2019
Historique:
received: 08 06 2018
revised: 18 11 2018
accepted: 12 12 2018
pubmed: 3 2 2019
medline: 21 8 2020
entrez: 3 2 2019
Statut: ppublish

Résumé

The objective of this study was to determine the association between sociodemographic factors and intakes of 4 nutrients and associations between intakes and markers of kidney disease to identify opportunities to improve outcomes among clinically high-risk African Americans. We conducted a cross-sectional study of baseline data from the Achieving Blood Pressure Control Together study, a randomized controlled trial of 159 African Americans (117 females) with uncontrolled hypertension in Baltimore MD. To determine the association between sociodemographic factors and nutrient intakes, we constructed linear and logistic regression models. Using logistic regression, we determined the association between below-median nutrient intakes and kidney disease. Our outcomes of interest were daily intakes of vitamin C, magnesium, dietary fiber, and potassium as estimated by the Block Fruit-Vegetable-Fiber Screener and kidney disease defined as estimated glomerular filtration rate <60 mL/min per 1.73 m2 or urinary albumin-to-creatinine ratio >=30 mg/g. Baseline data from the Achieving Blood Pressure Control Together study, a randomized controlled trial of 159 African Americans (117 females) with uncontrolled hypertension, were obtained. To determine the association between sociodemographic factors and nutrient intakes, we constructed linear and logistic regression models. Using logistic regression, we determined the association between below-median nutrient intakes and kidney disease. Our outcomes of interest were daily intakes of vitamin C, magnesium, dietary fiber, and potassium as estimated by the Block Fruit-Vegetable-Fiber Screener and kidney disease defined as estimated glomerular filtration rate <60 mL/min per 1.73 m Overall, compared to Institute of Medicine recommendations, participants had lower intakes of magnesium, fiber, and potassium but higher vitamin C intakes. For females, sociodemographic factors that significantly associated with lower intake of the 4 nutrients were older age, obesity, lower health numeracy, and lesser educational attainment. For males, none of the sociodemographic factors were significantly associated with nutrient intakes. Below-median intake was significantly associated with albumin-to-creatinine ratio ≥30 (adjusted odds ratio [95% confidence interval]: 3.4 [1.5, 7.8] for vitamin C; 3.6 [1.6, 8.4] for magnesium; 2.9 [1.3, 6.5] for fiber; 3.6 [1.6, 8.4] for potassium), but not with estimated glomerular filtration rate <60. African Americans with uncontrolled hypertension may have low intakes of important nutrients, which could increase their risk of chronic kidney disease. Tailored dietary interventions for African Americans at high risk for chronic kidney disease may be warranted.

Identifiants

pubmed: 30709714
pii: S1051-2276(18)30285-1
doi: 10.1053/j.jrn.2018.12.004
pii:
doi:

Substances chimiques

Dietary Fiber 0
Potassium, Dietary 0
Magnesium I38ZP9992A
Ascorbic Acid PQ6CK8PD0R

Types de publication

Journal Article Randomized Controlled Trial Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

399-406

Informations de copyright

Copyright © 2018 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

Auteurs

Annie Y Song (AY)

Johns Hopkins University School of Medicine, Baltimore, Maryland.

Deidra C Crews (DC)

Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland; Johns Hopkins Center for Health Equity, Johns Hopkins Medical Institutions, Baltimore, Maryland. Electronic address: dcrews1@jhmi.edu.

Patti L Ephraim (PL)

Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.

Dingfen Han (D)

Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland.

Raquel C Greer (RC)

Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland; Johns Hopkins Center for Health Equity, Johns Hopkins Medical Institutions, Baltimore, Maryland; Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.

LaPricia Lewis Boyér (LL)

Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland.

Jessica Ameling (J)

Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan.

Debra J Gayles (DJ)

Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Valerie Sneed (V)

Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland; Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Kathryn A Carson (KA)

Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland; Johns Hopkins Center for Health Equity, Johns Hopkins Medical Institutions, Baltimore, Maryland; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Michael Albert (M)

Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Yang Liu (Y)

Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland.

Lisa A Cooper (LA)

Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland; Johns Hopkins Center for Health Equity, Johns Hopkins Medical Institutions, Baltimore, Maryland; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.

L Ebony Boulware (LE)

Division of General Internal Medicine, Duke University School of Medicine, Durham, North Carolina.

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Classifications MeSH