Abstract

Introduction: Chronic kidney disease (CKD) is a growing public health problem with aging society and a progression to end-stage renal disease is associated with a higher risk of death. Previous studies have suggested that healthy dietary patterns like vegetable-based diet may reduce risk of incident CKD in general populations. However, there is less evidence on whether dietary patterns have impact on early stage of renal dysfunction (RD). Therefore, we investigated the longitudinal association between dietary patterns and early stage of RD in a general population. Methods: We recruited 1943 men and women aged 40 to 95 years in the prospective Tanushimaru cohort study in Japan in 2009. Their dietary intake was assessed using a brief self-administered diet history questionnaire (BDHQ). Principal component analysis (PCA) identified the main dietary patterns. In 984 participants re-examined in 2018, estimated glomerular filtration rate (eGFR) was calculated by CKD-EPI method in 2009 and 2018. RD and early RD were defined as eGFR < 60 and < 90 mL/min/1.73m 2 , respectively . Multivariable linear and logistic regression analyses were performed to examine the association of the main dietary patterns in 2009 with RD and early RD in 2018. Covariates included cardiovascular risk factors and eGFR at baseline. Results: Mean levels of eGFR in 2009 and 2018 were 94.0 and 84.3 mL/min/1.73m 2 . The prevalence of RD and early RD in 2018 were 8.8% (n=87) and 58.5% (n=576), respectively. The PCA revealed three major dietary patterns: vegetable pattern (vegetables, mushrooms and seaweeds); rice pattern (rice, bread and miso soup); and alcohol pattern (alcoholic beverages, cakes and snacks). The higher vegetable pattern score was significantly associated with higher eGFR in 2018 (p=0.006) and modestly associated with lower risk of early RD (p=0.06), but not RD (p=0.1) in the fully-adjusted models. Conclusions: The vegetable pattern was significantly associated with higher eGFR and may prevent an early stage of RD in a 9-year follow-up.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call