Abstract P1024: Associations between DASH Diet Adherence and Cardiovascular-Kidney Metabolic (CKM) Syndrome Stages: 2011-2020 National Health and Nutrition Examination Survey

C Chelsea Akubo (Boston University, Boston, Massachusetts, United States) I India Washington (Johns Hopkins University, Baltimore, Maryland, United States) S Shanshan Song M Mojisola Olusola-Bello (Johns Hopkins University, Baltimore, Maryland, United States) K Khadijat Adeleye D DJanee Kyeremeh (Johns Hopkins University, Baltimore, Maryland, United States) S Samuel Gledhill (Johns Hopkins University, San Diego, California, United States) W William Xiao (Johns Hopkins University, Baltimore, Maryland, United States) S Samantha DeMarco (Johns Hopkins School of Nursing, Baltimore, Maryland, United States) V Valerie Sullivan (Johns Hopkins University, Baltimore, Maryland, United States) Y Yvonne Commodore-Mensah B Bunmi Ogungbe (Johns Hopkins University, Baltimore, Maryland, United States)

Abstract

Background: Cardiovascular-kidney metabolic (CKM) syndrome substantially contributes to rising healthcare costs and reduced life expectancy, particularly in underserved communities. The relationship between dietary approaches such as Dietary Approaches to Stop Hypertension (DASH) in managing CKM syndrome is unclear. Objective: To assess the relationship between DASH adherence and CKM syndrome stages among US adults. Methods: Cross-sectional data from the 2011-2020 National Health and Nutrition Examination Survey (NHANES) were analyzed. DASH scores (range: 17-37) were divided into quintiles: Q1 (<24.5, lowest), Q2 (>24.5-27), Q3 (>27-29), Q4 (>29-32), and Q5 (>32, highest). CKM syndrome stages were defined as stage 0: no CKM (reference); stage 1: excess adiposity, prediabetes; stage 2: metabolic risk factors, high-risk kidney disease; stage 3: very high-risk kidney disease; and stage 4: clinical CVD with CKM risk factors. Separate multivariable logistic regression models were fitted, modeling the odds of each CKD stage 1-4 vs. 0, adjusting for covariates. Results: Our sample included 22,746 adults, mean age: 49 ±17 years, 52% female, median DASH score of 26.5. Compared to Q5 (highest adherence), those in the lowest DASH adherence quintile (Q1) consistently showed higher odds of being in more advanced CKM syndrome stages ( Figure ). For CKM stage 1 vs. stage 0, participants in Q1 had 1.46 times the odds (95% CI: 1.08, 1.97) of being classified in stage 1. For CKM stage 2 vs. stage 0, individuals in Q1 were 1.87 times more likely (95% CI: 1.48, 2.37) to be in stage 2. The association was even stronger for advanced stages: for CKM stage 3 vs. stage 0, those in Q1 had 4.76 times the odds (95% CI: 1.92, 14.48) of being classified in stage 3. Similarly, for CKM stage 4 vs. stage 0, participants in Q1 were 3.46 times as likely (95% CI: 2.02, 6.11) to reach stage 4, compared to those demonstrating the highest level of DASH adherence. Conclusion: Our findings suggest that lower DASH adherence is associated with higher odds of advanced CKM syndrome stages, highlighting its potential role in CKM syndrome prevention beyond hypertension management.

Article Details

Journal Circulation
Volume / Issue Vol. 151, Issue Suppl_1
Published March 11, 2025
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (12)

C

Chelsea Akubo

Boston University, Boston, Massachusetts, United States

I

India Washington

Johns Hopkins University, Baltimore, Maryland, United States

S

Shanshan Song

M

Mojisola Olusola-Bello

Johns Hopkins University, Baltimore, Maryland, United States

K

Khadijat Adeleye

D

DJanee Kyeremeh

Johns Hopkins University, Baltimore, Maryland, United States

S

Samuel Gledhill

Johns Hopkins University, San Diego, California, United States

W

William Xiao

Johns Hopkins University, Baltimore, Maryland, United States

S

Samantha DeMarco

Johns Hopkins School of Nursing, Baltimore, Maryland, United States

V

Valerie Sullivan

Johns Hopkins University, Baltimore, Maryland, United States

Y

Yvonne Commodore-Mensah

B

Bunmi Ogungbe

Johns Hopkins University, Baltimore, Maryland, United States