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Nikparast A, Mirzaei P, Tadayoni ZS, Asghari G. The Association Between Overall, Healthy, and Unhealthy Plant-Based Diet Index and Risk of Prediabetes and Type 2 Diabetes Mellitus: A Systematic Review and Dose-Response Meta-Analysis of Prospective Studies. Nutr Rev 2025; 83:e157-e177. [PMID: 38796844 DOI: 10.1093/nutrit/nuae049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024] Open
Abstract
CONTEXT The global incidence of prediabetes and type 2 diabetes mellitus (T2DM) has increased substantially in recent years. Among the established, modifiable lifestyle factors associated with favorable prediabetes and T2DM risk, healthy dietary patterns have attracted considerable attention. OBJECTIVE The association between adherence to plant-based dietary pattern indices (PDIs), including the overall PDI (O-PDI), healthy PDI (H-PDI), and unhealthy PDI (U-PDI), and the risk of prediabetes and T2DM was investigated in this study. DATA SOURCES A literature search was conducted of the PubMed/Medline, Scopus, and Web of Sciences databases from their inception to February 2024. A systematic review and meta-analysis were conducted using random effects models and dose-response analyses. The Cochran Q test and the I2 statistic were used to evaluate heterogeneity between studies. DATA EXTRACTION A total of 16 publications, with data on a total of 721 012 participants, were identified for the meta-analysis. DATA ANALYSIS According to a pooled analysis, compared with the lowest category of O-PDI and H-PDI adherence, the highest category was associated with a 14% and 19% reduction in T2DM risk, respectively, for O-PDI (effect size [ES] = 0.86; 95%CI, 0.82-0.90; I2 = 57.7) and H-PDI (ES = 0.81; 95%CI, 0.75-0.88; I2 = 82.6). Greater adherence to U-PDI was significantly associated with an 10% increase in the risk of T2DM (ES = 1.10; 95%CI, 1.04-1.16). Consistent associations were found within the predetermined subgroups. As well, there was a nonlinear inverse association between O-PDI, H-PDI, and T2DM risk. No significant association was found between adherence to O-PDI (ES = 0.87; 95%CI, 0.75-1.01; I2 = 68%), H-PDI (ES = 0.99; 95%CI, 0.87-1.13; I2 = 0.0%), and U-PDI (ES = 1.09; 95%CI, 0.94-1.21; I2 = 22.9%) and risk of prediabetes. CONCLUSION These findings underscore the importance of dietary selections within the framework of a plant-based dietary pattern, particularly when incorporating healthful, plant-based foods, which may have potential benefits in reducing the T2DM risk. SYSTEMATIC REVIEW REGISTRATION PROSPERO registration no. CRD42023459851.
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Affiliation(s)
- Ali Nikparast
- Pediatric Gastroenterology and Hepatology Research Center, Pediatrics Centre of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Faculty of Nutrition Science and Food Technology, Department of Clinical Nutrition & Dietetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Parmis Mirzaei
- Faculty of Nutrition Science and Food Technology, Department of Clinical Nutrition & Dietetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zeinab S Tadayoni
- Faculty of Nutrition Science and Food Technology, Department of Clinical Nutrition & Dietetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Golaleh Asghari
- Faculty of Nutrition Science and Food Technology, Department of Clinical Nutrition & Dietetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Liu Z, Zhao D, Dai S, Liang Y, Zhao M, Liu M, Zhong Z, Liang L, Tian Z, Yang Y. Inverse Association between the Global Diet Quality Score and New-Onset Hypertension in Adults: A Nationwide Cohort Study. J Nutr 2024; 154:1252-1261. [PMID: 38360116 DOI: 10.1016/j.tjnut.2024.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 01/30/2024] [Accepted: 02/12/2024] [Indexed: 02/17/2024] Open
Abstract
BACKGROUND The Global Diet Quality Score (GDQS) is a simple and practical dietary metric associated with a number of chronic diseases. The GDQS included various foods related to blood pressure, especially diverse plant-based foods that have shown to lower blood pressure. However, studies on the role of the GDQS in reducing the risk of new-onset hypertension and whether its performance differs from that of other dietary metrics are lacking. OBJECTIVE We aimed to examine the association between the GDQS and new-onset hypertension and to compare its performance with that of other dietary patterns, including the Plant-based Diet Index (PDI), alternate Mediterranean diet (aMED) score, Alternative Healthy Eating Index-2010, and Dietary Approaches to Stop Hypertension (DASH) score in Chinese adults. METHODS We included a total of 12,002 participants (5644 males and 6358 females) aged >18 y from the China Health and Nutrition Survey (1997-2015). Dietary intake was estimated using average food intakes from 3 consecutive 24-h dietary recalls. Multivariable relative risks (RRs) were computed for hypertension using modified Poisson regression models. RESULTS With ≤18 y of follow-up (mean 8.7± 5.4 y), we ascertained 4232 incident cases of hypertension. Compared with participants with a low GDQS score (<15), the multivariable-adjusted RR of hypertension was 0.72 [95% confidence interval (CI): 0.62, 0.83] among participants with a high score (≥23). A 25% increment in the GDQS was associated with a 30% (RR, 0.70; 95% CI: 0.64, 0.76) lower risk of new-onset hypertension, which was comparable with the RRs of new-onset hypertension associated with every 25% increment in the PDI (RR, 0.84; 95% CI: 0.76, 0.93), DASH score (RR, 0.84; 95% CI: 0.78, 0.91), and aMED score (RR, 0.89; 95% CI: 0.84, 0.93). CONCLUSION A higher GDQS was associated with a lower risk of new-onset hypertension, with comparable associations of new-onset hypertension with PDI, DASH, and aMED scores in Chinese adults.
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Affiliation(s)
- Zhihao Liu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong Province, China; Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, Sun Yat-sen University, Shenzhen, Guangdong Province, China; Guangdong Engineering Technology Center of Nutrition Transformation, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Dan Zhao
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong Province, China; Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, Sun Yat-sen University, Shenzhen, Guangdong Province, China; Guangdong Engineering Technology Center of Nutrition Transformation, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Suming Dai
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong Province, China; Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, Sun Yat-sen University, Shenzhen, Guangdong Province, China; Guangdong Engineering Technology Center of Nutrition Transformation, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Ying Liang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong Province, China; Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, Sun Yat-sen University, Shenzhen, Guangdong Province, China; Guangdong Engineering Technology Center of Nutrition Transformation, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Mingzhu Zhao
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong Province, China; Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, Sun Yat-sen University, Shenzhen, Guangdong Province, China; Guangdong Engineering Technology Center of Nutrition Transformation, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Meitong Liu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong Province, China; Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, Sun Yat-sen University, Shenzhen, Guangdong Province, China; Guangdong Engineering Technology Center of Nutrition Transformation, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Zepei Zhong
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong Province, China; Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, Sun Yat-sen University, Shenzhen, Guangdong Province, China; Guangdong Engineering Technology Center of Nutrition Transformation, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Lihan Liang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong Province, China; Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, Sun Yat-sen University, Shenzhen, Guangdong Province, China; Guangdong Engineering Technology Center of Nutrition Transformation, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Zezhong Tian
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong Province, China; Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, Sun Yat-sen University, Shenzhen, Guangdong Province, China; Guangdong Engineering Technology Center of Nutrition Transformation, Sun Yat-sen University, Guangzhou, Guangdong Province, China.
| | - Yan Yang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong Province, China; Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, Sun Yat-sen University, Shenzhen, Guangdong Province, China; Guangdong Engineering Technology Center of Nutrition Transformation, Sun Yat-sen University, Guangzhou, Guangdong Province, China.
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