Elevated Inflammation and Poor Diet Quality Associated with Lower eGFR in United States Adults: An NHANES 2015-2018 Analysis.
Aljazi Bin ZarahJeanette Mary AndradePublished in: Nutrients (2024)
Chronic kidney disease is prevalent within the United States likely due to dietary habits. The purpose of this study was to examine the relationship between the high-sensitivity c-reactive protein (hs-CRP) and diet quality (DQ) and their effect on the eGFR. A cross-sectional secondary data analysis study was conducted among adults ( n = 6230) using NHANES 2015-2018 data. DQ was determined by the Healthy Eating Index-2015 (HEI-2015). Multivariable linear regressions were conducted based on eGFR (≥90 or <60 mL/min/1.73 m 2 ) after adjustments for age, race/ethnicity, hypertension, diabetes mellitus, cardiovascular disease, and kidney disease awareness. All analyses were performed in SAS version 9.4 with a statistical significance of p < 0.05. Results showed that participants who had an eGFR of <60 mL/min/1.73 m 2 were older and had a higher prevalence of hypertension and diabetes and had higher hs-CRP compared to participants with an eGFR ≥ 90 ( p < 0.005). Of participants with an eGFR < 60, 27% reported that they were aware they had kidney disease. Regardless of the eGFR at baseline, there was a negative interaction effect on the DQ scores and hs-CRP on the eGFR ( p < 0.05). Independently, for participants with an eGFR < 60, their DQ scores had a positive significant relationship on their eGFR ( p = 0.03), whereas their hs-CRP had a negative significant relationship on thier eGFR ( p < 0.001). For participants with an eGFR < 60, age, hypertension, and kidney disease awareness influenced this relationship ( p < 0.001). Overall, low DQ and elevated hs-CRP contributed to a reduction in kidney function. Efforts to improve dietary intake and strategies to reduce inflammation and improve kidney function are necessary.
Keyphrases
- small cell lung cancer
- epidermal growth factor receptor
- tyrosine kinase
- cardiovascular disease
- chronic kidney disease
- blood pressure
- data analysis
- type diabetes
- physical activity
- weight loss
- metabolic syndrome
- risk factors
- machine learning
- insulin resistance
- electronic health record
- quality improvement
- artificial intelligence
- cardiovascular risk factors