Background Non-alcoholic fatty liver disease (NAFLD) is defined as the excessive accumulation of fat in the liver cells of people who do not drink alcohol. The aim of study is investigated the association between low carbohydrate diets (LCDs) and NAFLD. Methods This age and gender-matched case–control study was conducted on 120 patients newly diagnosed with NAFLD and 120 adults without NAFLD. Diagnosis of NAFLD based on laboratory tests and abdominal ultrasound. Low carbohydrate diets score calculated on the percentage of energy as carbohydrate, fat, and protein. Participants in the highest rank intake of fat and protein and lowest intake of carbohydrate received 10 points. Multivariable logistic odds ratio was used for examine the relation between LCDs and NAFLD. Results This study showed subjects in the highest tertile of LCD has more intake of zinc and vitamin B12 compare to lowest. Also, intake of protein (p = 0.02) carbohydrate (p < 0.02) and cholesterol (p = 0.02) were significantly higher in patient with NAFLD compare to control subjects. There was no significant association between LCD and risk of NAFLD (OR: 1.36; 95% CI: 0.97–1.92; P-trend = 0.13) in crude and adjusted (OR: 1.31; 95% CI: 0.84–2.04; P-trend = 0.23) model. Conclusion However, we showed that intake of protein, carbohydrate and cholesterol are higher in NAFLD, but our results of study showed that LCDs with higher proportion intakes of protein and fat was not associated with NAFLD. Further prospective studies are required for confirm these associations.
Background: Phytochemicals are natural non-nutritive bioactive compounds in plant foods. There is growing agreement that plant foods-based phytochemicals have a protective role against chronic diseases. The purpose of current study was to appraise Dietary Phytochemical Index (DPI) with the risk of metabolic syndrome (MetS) and its components.Methods: This study was conducted on 2326 participants (1097 men and 1220 women), aged 20-70 years of the recruitment phase of Yazd Health Study (YaHS), a population-based cohort study on Iranian adults. Dietary intake was prepared using a validated and reliable food frequency questionnaire. DPI is calculated based on dietary energy derived from phytochemical-rich food sources (kcal)/ total daily energy intake (kcal). The odds ratio of MetS and its components were assessed across DPI quartiles by binary logistic regression models.Results: After adjustment for all potential confounders, the risk of MetS (OR=0.63, 95% CI=0.41-0.96, P=0.03) and elevated blood pressure (OR=0.62, 95% CI=0.40-0.96, P=0.03) in second category of DPI compared to the first significantly decreased. After full adjustment for confounders, women in the highest quartile of DPI compared with the lowest, had 59% lower risk of MetS (OR=0.41, 95% CI=0.22-0.76, P=0.005). In second quartiles of DPI, the risk of MetS decreased by 62% (OR=0.38, 95% CI=0.16-0.90, P=0.02) in participants with normal BMI and 29% in subjects with high BMI (OR=0.71, 95% CI=0.52-0.99, P=0.04), and also 57% in men (OR=0.43, 95%CI=0.23-0.83, P=0.01). Independent of variables including age, sex and total energy intake, subjects in second and fourth quartiles of DPI had 30% and 25% lower risk of abdominal obesity, respectively.Conclusions: Greater adherence to phytochemical-rich diet could reduce odds of MetS and some components especially in women. Further studies with intervention approaches are required to discover causal relations and relevant underlying mechanisms.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.