1
|
Moloudpour B, Jam SA, Darbandi M, Janati A, Gholizadeh M, Najafi F, Pasdar Y. Association Between Plant-based Diet and Kidney Function in Adults. J Ren Nutr 2024; 34:125-132. [PMID: 37769752 DOI: 10.1053/j.jrn.2023.09.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 08/16/2023] [Accepted: 09/10/2023] [Indexed: 10/03/2023] Open
Abstract
OBJECTIVE A plant-based diet has both antioxidant and anti-inflammatory properties. Therefore, it is hypothesized that adherence to a plant-based diet may have a positive effect on kidney function. The study aimed to determine the association between the plant-based diet index (PDI) and chronic kidney disease (CKD). METHODS This cross-sectional analysis used information from the Ravansar noncommunicable diseases cohort study, which included 9,746 participants between the ages of 35 and 65. By measuring the estimation glomerular filtration rate (eGFR) with the modification of diet in the renal disease equation, CKD was determined. Using a food frequency questionnaire, the PDI was computed based on food intake. To determine odds ratios (ORs), multivariable logistic regression models were utilized. RESULTS 1,058 (10.86%) participants had CKD (eGFR<60 mL/min/1.73 m2), and the mean PDI was 54.22 ± 6.68. The mean eGFR in the group with a high PDI score was significantly higher than the group with a low PDI score (fourth quartile: 79.20 ± 0.36 vs. first quartile: 72.95 ± 0.31, P < .001). Adherence to a plant-based diet was more prevalent in those with a higher socioeconomic status (P < .001). After adjusting for potential confounders, the odds of CKD in the third and fourth quartiles of PDI were 25% (OR: 0.75; 95% confidence interval: 0.62-0.91) and 39% (OR: 0.61; 95% confidence interval: 0.48-0.78, P trend<.001) lower than the first quartile, respectively. CONCLUSIONS The findings of this study suggest that having a plant-based diet may prevent the prevalent CDK. However, further studies with a cohort design are recommended.
Collapse
Affiliation(s)
- Behrooz Moloudpour
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Samira Arbabi Jam
- Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mitra Darbandi
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Ali Janati
- Scientific and Educational Center of Iran Health Management, School of Management and Medical Information, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Masoumeh Gholizadeh
- Scientific and Educational Center of Iran Health Management, School of Management and Medical Information, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Farid Najafi
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran; Cardiovascular Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran.
| | - Yahya Pasdar
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran; Cardiovascular Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| |
Collapse
|
2
|
Zheng H, Li H, Pan L, Hu L, Chen X, Hou J, Liang H. Association of fresh vegetable and salt-preserved vegetable consumptions with estimated glomerular filtration rate. BMC Nephrol 2023; 24:369. [PMID: 38087232 PMCID: PMC10717767 DOI: 10.1186/s12882-023-03353-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 09/26/2023] [Indexed: 12/18/2023] Open
Abstract
OBJECTIVE This study aimed to investigate the relationship between the consumption of fresh and salt-preserved vegetables and the estimated glomerular filtration rate (eGFR), which requires further research. METHODS For this purpose, the data of those subjects who participated in the 2011-2012 and 2014 surveys of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) and had biomarker data were selected. Fresh and salt-preserved vegetable consumptions were assessed at each wave. eGFR was assessed using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation based on plasma creatinine. Furthermore, a linear mixed model was used to evaluate associations between fresh/salt-preserved vegetables and eGFR. RESULTS The results indicated that the median baseline and follow-up eGFRs were 72.47 mL/min/1.73 m² and 70.26 mL/min/1.73 m², respectively. After applying adjusted linear mixed model analysis to the data, the results revealed that compared to almost daily intake, occasional consumption of fresh vegetables was associated with a lower eGFR (β=-2.23, 95% CI: -4.23, -0.23). Moreover, rare or no consumption of salt-preserved vegetables was associated with a higher eGFR (β = 1.87, 95% CI: 0.12, 3.63) compared to individuals who consumed salt-preserved vegetables daily. CONCLUSION Fresh vegetable consumption was direct, whereas intake of salt-preserved vegetables was inversely associated with eGFR among the oldest subjects, supporting the potential benefits of diet-rich fresh vegetables for improving eGFR.
Collapse
Affiliation(s)
- Haiqing Zheng
- Medical Big Data Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No.106, Zhongshan Er Road, Guangzhou, Guangdong, China
| | - Huixian Li
- Medical Big Data Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No.106, Zhongshan Er Road, Guangzhou, Guangdong, China
| | - Liyan Pan
- Medical Big Data Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No.106, Zhongshan Er Road, Guangzhou, Guangdong, China
| | - Lianting Hu
- Medical Big Data Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No.106, Zhongshan Er Road, Guangzhou, Guangdong, China
| | - Xuanhui Chen
- Medical Big Data Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No.106, Zhongshan Er Road, Guangzhou, Guangdong, China
| | - Jiaxin Hou
- Medical Big Data Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No.106, Zhongshan Er Road, Guangzhou, Guangdong, China
| | - Huiying Liang
- Medical Big Data Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No.106, Zhongshan Er Road, Guangzhou, Guangdong, China.
| |
Collapse
|