Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Sep 6:9:977403.
doi: 10.3389/fnut.2022.977403. eCollection 2022.

Nutrient patterns and non-alcoholic fatty liver disease in Iranian Adul: A case-control study

Affiliations

Nutrient patterns and non-alcoholic fatty liver disease in Iranian Adul: A case-control study

Ammar Salehi-Sahlabadi et al. Front Nutr. .

Abstract

Backgrounds: The current literature boasts the importance of diet in preventing or managing liver complications. However, there is limited evidence on the association of nutrient patterns (NP) with these complications. In this case-control study, we aimed to examine the possible relationship between nutrient patterns and the risk of non-alcoholic fatty liver disease (NAFLD) amongst the adult Iranian population.

Methods: This case-control study is being conducted at the Metabolic Liver Disease Research Center at Isfahan University of Medical Sciences in 2019. The study included 225 newly diagnosed cases of NAFLD and 450 controls. A validated semi-quantitative food frequency questionnaire (FFQ) assessed dietary intake. Principal component analysis using Varimax rotation obtained nutrient patterns. Logistic regression was performed to estimate NAFLD risk.

Results: We identified four major nutrient patterns. The first nutrient pattern was high in consumption of lactose, animal protein, vitamin D, riboflavin, pantothenic acid, vitamin B12, calcium, phosphorus, zinc, and potassium. The second nutrient pattern included fiber, plant protein, vitamin A, thiamine, niacin, copper, and selenium, while the third featured plant protein, zinc, copper, magnesium, manganese, chromium, and selenium. The fourth was characterized by fructose, vitamin A, pyridoxine, vitamin C, and potassium. After adjusting for confounders, individuals in the highest tertile of NP4 had lower odds of NAFLD (OR: 0.56, 95% CI: 0.32-0.98, P_trend = 0.042); compared to those who were in the lowest tertile.

Conclusion: High compliance to a nutrient pattern characterized by fructose, vitamin C, vitamin A, pyridoxine, and potassium mainly supplied from fruits, vegetables, and nuts is inversely proportional to the odds of NAFLD. Also our findings indicate a very high fiber intake, a relatively optimal dietary fat profile, and a pretty low sugar intake for cases and controls, unseen in western countries. However, these initial findings need to be approved with further studies to confirm the relationship between nutrient patterns and NAFLD.

Keywords: NAFLD; diet; non-alcoholic fatty liver disease; nutrient patterns; pattern.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

    1. Moore MP, Cunningham RP, Dashek RJ, Mucinski JM, Rector RS. A. fad too far? Dietary strategies for the prevention and treatment of NAFLD. Obesity. (2020) 28:1843–52. 10.1002/oby.22964 - DOI - PMC - PubMed
    1. Younossi ZM. Non-alcoholic fatty liver disease - A global public health perspective. J Hepatol. (2019) 70:531–44. 10.1016/j.jhep.2018.10.033 - DOI - PubMed
    1. Ormazabal V, Nair S, Elfeky O, Aguayo C, Salomon C, Zuñiga FA. Association between insulin resistance and the development of cardiovascular disease. Cardiovascul Diabetol. (2018) 17:122. 10.1186/s12933-018-0762-4 - DOI - PMC - PubMed
    1. Thomas DD, Corkey BE, Istfan NW. Apovian CMJJotES. Hyperinsulinemia: an early indicator of metabolic dysfunction. J Endocr Soc. (2019) 3:1727–47. 10.1210/js.2019-00065 - DOI - PMC - PubMed
    1. Utzschneider K, Lagemaat A, Faulenbach M, Goedecke J, Carr D, Boyko E, et al. . Insulin resistance is the best predictor of the metabolic syndrome in subjects with a first-degree relative with type 2 diabetes. Obesity. (2010) 18:1781–7. 10.1038/oby.2010.77 - DOI - PubMed