BackgroundIntake of fiber and antioxidants and following hypocaloric diets has beneficial effects on reduction of the liver enzymes. Fruits and vegetables are low in calorie and rich in fiber and antioxidants. There are few studies about special dietary effects on liver function. The aim of this study was to evaluate the association between fruit and vegetables intake and liver function enzymes.MethodsThis cross-sectional study was conducted on 265 Tehrani healthy adults. Fruit and vegetable intake was assessed by a 147-items semi-quantitative food frequency questionnaire. Serum glucose, lipids, liver enzymes (alanine aminotransferase (ALT), aspartate aminotransferase (AST)), hs-Crp and body composition were measured in a fasting state.ResultsThe mean age (± SD) of the participants was 35 ± 8.78. In the higher quartiles of vegetable intake, low-density lipoprotein (LDL) serum and total cholesterol (TC) levels were lower after adjusting for confounders (p = 0.03 and 0.02 respectively). Individuals in the upper quartile of vegetable intake were less likely to have elevated ALT (OR=0.21; 95% CI =0.08–0.49) and AST (OR=0.33; 95% CI =0.15–0.75) levels before adjusting for confounders. After controlling for potential confounders, only the association between vegetable intake and ALT level remained significant (OR=0.32; 95% CI =0.12–0.90). Liver enzymes had no significant relationship with the quartiles of fruit intake. In the higher quartiles of fruit intake, the visceral fat rating was lower after adjustment (p = 0.04) but not in the higher vegetable intake (p = 0.50).ConclusionsThe results of this study showed that vegetable intake is reversely associated with LDL, TC and ALT level in Tehrani healthy adults, whereas fruit intake is only associated with lower visceral fat rating.
Background: Recent studies have shown that depression is inversely correlated with high protein and low fat intake and positively correlated with vitamin D-binding protein (VDBP). Therefore, the aim of this study was to examine the interaction between protein/fat dietary patterns and VDBP genotypes with regard to the risk of depression in apparently healthy adults who have not been diagnosed with any chronic disease. Methods: In this study, 265 individuals (126 males and 139 females) aged 18–55 years were recruited from the communities of central and west Tehran based on convenience sampling. Body composition was measured with a body composition analyzer and depression symptoms were categorized as normal, moderate depression, or severe depression using the Depression Anxiety Stress Scales 21 (DASS-21) questionnaire. Dietary patterns were determined by a semiquantitative food frequency questionnaire to assess typical food intake during the 12-month period. Blood samples were collected from and biochemical measurements performed on all participants. An analysis of two polymorphisms (rs7041 and rs4588) in the GC gene, which encodes VDBP, was performed by polymerase chain reaction-restriction fragment length polymorphism. Results: A statistically significant association was found between depression and diet (p = 0.03) after having categorized the participants into three groups: a high-protein/low-fat (HP/LF) group, a moderate-protein/moderate-fat (MP/MF) group, and a low-protein/high-fat (LP/HF) group. Moreover, the findings demonstrated that depression was related to both the rs7041 and the rs4588 polymorphism (p = 0.05 and p = 0.02, respectively). We next used multinomial logistic modeling to investigate the risk of depression. A significant interaction was observed between HP/LF diet and the rs7041 polymorphism in the moderate- and severe-depression groups (β = –0.30, p = 0.05, and β = –0.48, p = 0.01, respectively). Conclusion: This study showed that an HP/LF diet interacts with the rs7041 polymorphism, with T allele carriers having a greater prevalence of moderate and severe depression.
Dietary GL but not GI is inversely associated with fat distribution measures such as WC, BMI, and ABSI in the study population. This result may suggest a beneficial role of higher-GL diets in the prevention of obesity.
scite is a Brooklyn-based startup 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.