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Dietary Phytochemical Index and the Risk of Non-Alcoholic Fatty Liver Disease: A Case-Control Study Among Iranian Adults Publisher Pubmed



Salehisahlabadi A1 ; Teymoori F2, 3 ; Mokhtari E4 ; Taghiyar M5 ; Hekmatdoost A6 ; Mirmiran P2
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Authors Affiliations
  1. 1. Student Research Committee, Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  2. 2. Nutrition and Endocrine Research Center, Research Institute for Endocrine Science, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  3. 3. Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
  4. 4. Student Research Committee, Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  5. 5. Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Science, Isfahan, Iran
  6. 6. Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology, Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Source: Complementary Therapies in Medicine Published:2022


Abstract

Backgrounds: Dietary phytochemical index (DPI) is an inexpensive method for estimating the amounts of phytochemicals in foods. No study has investigated the association between DPI and non-alcoholic fatty liver disease (NAFLD). Our study aimed to compare DPI in patients with NAFLD and the control group. Methods: This is a case-control study of 250 subjects with NAFLD and 450 healthy subjects attending the Metabolic Liver Disease Research Center as a referral center affiliated to Isfahan University of Medical Sciences. DPI was calculated based on data collected from a 168-item validated food frequency questionnaire. Sociodemographic data, physical activity, and anthropometric measures such as body weight, height, and waist circumference were determined. Results: In the final adjusted model, the odds ratio (OR) of NAFLD across the DPI tertiles decreased significantly (OR = 0.55, 95 %CI = 0.31–0.95) (P-trend = 0.03). The highest vs. lowest tertiles of vegetable and olives PI were significantly associated with a lower risk of NAFLD (OR and 95 % CI = 0.26 (0.14–0.47); OR and 95 % CI = 0.51 (0.29–0.90), p for trend < 0.001, respectively), however, there was no significant relation between other PI components and NAFLD. Conclusion: This case-control study suggested that a higher PI score is associated with a reduced chance of NAFLD after adjusting for confounding variables. In addition, the highest tertile of vegetable and olives PI was significantly associated with a lower risk of NAFLD. © 2022 The Authors
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