Document Type

Journal Article

Date of this Version

12-1-2014

Publication Source

European Journal of Cardiovascular Nursing

Volume

13

Issue

6

Start Page

549

Last Page

558

DOI

10.1177/1474515113517606

Abstract

BACKGROUND: A low-sodium diet is a core component of heart failure self-care but patients have difficulty following the diet.

AIM: The aim of this study was to identify predictors of higher than recommended sodium excretion among patients with heart failure.

METHODS: The World Health Organization Five Dimensions of Adherence model was used to guide analysis of existing data collected from a prospective, longitudinal study of 280 community-dwelling adults with previously or currently symptomatic heart failure. Sodium excretion was measured objectively using 24-hour urine sodium measured at three time points over six months. A mixed effect logistic model identified predictors of higher than recommended sodium excretion.

RESULTS: The adjusted odds of higher sodium excretion were 2.90, (95% confidence interval (CI): 1.15-4.25, pp=0.007) for patients with diabetes; and 2.22 (95% CI: 1.09-4.53, p=0.028) for patients who were cognitively intact.

CONCLUSION: Three factors were associated with excess sodium excretion and two factors, obesity and diabetes, are modifiable by changing dietary food patterns.

Copyright/Permission Statement

Masterson-Creber, R. et al, Identifying predictors of high sodium excretion in patients with heart failre: A mixed effect analysis of longitudinal data, European Journal of Cardiovascular Nursing 13, no. 6: pp. 549-558. Copyright © 2014 SAGE. Reprinted by permission of SAGE Publications

Keywords

Aged, Cohort Studies, Confidence Intervals, Diabetes Mellitus, Type 2, Diet, Sodium-Restricted, Disease-Free Survival, Female, Heart Failure, Humans, Longitudinal Studies, Male, Middle Aged, Obesity, Odds Ratio, Patient Compliance, Patient Education as Topic, Predictive Value of Tests, Prognosis, Prospective Studies, Risk Assessment, Severity of Illness Index, Sodium, Dietary, Statistics as Topic, Survival Analysis, Urinalysis, World Health Organization

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Date Posted: 06 August 2018

This document has been peer reviewed.