The association between healthy eating index-2015 with anthropometric, cardiometabolic and hepatic indices among patients with non-alcoholic fatty liver disease.

BACKGROUND: Obesity, cardiovascular diseases, and metabolic disorders are common problems among participants with non-alcoholic fatty liver disease (NAFLD). However, the association between these problems and the healthy eating index-2015 (HEI-2015) remains unknown. Although the HEI-2015 originated from American dietary guidelines, its comprehensive evaluation of diet quality provides valuable insights for various populations, including Iranians. Therefore, the objective of this study was to investigate the association between anthropometric, hepatic, and cardio-metabolic indices with HEI-2015 scores in participants with NAFLD. METHODS: We conducted a cross-sectional analysis of data from the Hoveyzeh Cohort Study, which included adults aged 35 to 70 years between 2016 and 2018. A total of 664 participant with NAFLD (452 females and 212 males) were included in the analysis. The HEI-2015 was assessed using the Food Frequency Questionnaire (FFQ). Various indices, including the body shape index (ABSI), atherogenic index of plasma (AIP), visceral adiposity index (VAI), lipid accumulation product (LAP), cardiometabolic index (CMI), lipoprotein combine index (LCI), AST/ALT ratio, ALD/NAFLD index, and hepatic steatosis index (HSI), were calculated. RESULTS: No significant differences were observed in anthropometric, cardio-metabolic, and hepatic indices across the quartiles of HEI-2015. However, among participants with NAFLD, men had significantly higher AIP and LCI levels, while women had significantly higher BMI, ABSI, VAI, LAP, and CMI levels. Additionally, women with NAFLD exhibited higher AST/ALT and HSI levels but lower ALD/NAFLD levels compared to men with NAFLD. Linear regression analysis among men with NAFLD revealed a significant negative correlation between HEI-2015 score and HSI in both the unadjusted model (ß=-0.131, SE = 0.058, p = 0.024) and the adjusted model for energy intake (ß=-0.129, SE = 0.058, p = 0.028). CONCLUSION: The present study demonstrated a correlation between lower HEI-2015 scores and an increased risk of steatosis in men with NAFLD. Moreover, our findings highlighted gender-related differences in NAFLD and cardio-metabolic disorders.

The effect of coenzyme Q10 supplementation on liver enzymes: A systematic review and meta-analysis of randomized clinical trials.

Coenzyme Q10 is a potent antioxidant and is necessary for energy production in mitochondria. Clinical data have suggested that coenzyme Q10 (CoQ10) has some beneficial effects on liver function. However, these results are equivocal. This systematic review and meta-analysis aimed to clarify the effect of coenzyme Q10 supplementation on the serum concentration of liver function enzymes. We searched the online databases using relevant keywords up to April 2022. Randomized clinical trials (RCTs) investigating the effect of CoQ10, compared with a control group, on serum concentrations of liver enzymes were included. We found a significant reduction following supplementation with CoQ10 on serum concentrations of alanine aminotransferase (ALT) based on 15 effect sizes from 13 RCTs (weighted mean difference [WMD] = -5.33 IU/L; 95% CI: -10.63, -0.03; p = .04), aspartate aminotransferase (AST) based on 15 effect sizes from 13 RCTs (WMD = -4.91 IU/L; 95% CI: -9.35, -0.47; p = .03) and gamma-glutamyl transferase (GGT) based on eight effect sizes from six RCTs (WMD = -8.07 IU/L; 95% CI: -12.82, -3.32; p = .001; I 2 = 91.6%). However, we found no significant effects of CoQ10 supplementation on alkaline phosphatase concentration (WMD = 1.10 IU/L; 95% CI: -5.98, 8.18; p = .76). CoQ10 supplementation significantly improves circulating ALT, AST, and GGT levels; therefore, it might positively affect liver function. Further high-quality RCTs with more extended intervention periods and larger sample sizes are recommended to confirm our results.

Development and Validation of a Simple Equation to Predict Fat-Free Mass in the Adult Population.

Background: Estimating Fat-Free Mass (FFM) is an integral part of Body composition measurements, so obtaining an accurate estimation for evaluating FFM is critical for researchers and specialists. We aimed to develop and validate a simple equation for predicting FFM in the adult population. Methods: Participants were 1996 adults (1085 men and 911 women), and 18 to 69 years old from Ahvaz City, southern Iran. They were randomly divided into the derivation (n=1396) and the validation (n=600) groups with no significant differences from Jan 2018 to Feb 2020. FFM was measured by Bioelectrical Impedance Analyzer (BIA) (InBody 770©; Biospace, Seoul, South Korea). Based on the demographic variables retrieved from the Derivation group, 8 FFM predictive equations were developed using multiple regression; finally, the most accurate model (using the coefficient of determination (R2)) was chosen and then validated on the Validation group for more evaluation. Results: The best equation derived from demographic characteristics was: "FFM= 0.28 × Weight (kg) + 0.57×Height (cm)+7.35×Sex (M=1, F=0)+0.03×Age (years)-70.61"; where sex = 1 for male and 0 for female. R=0.94, R2=0.89, standard error of the estimate=4.04 kg. Conclusion: Our developed and cross-validated anthropometric prediction equation for fat-free mass estimation using BIA attained a high coefficient of determination, a low standard error of the estimate, and the lowermost coefficient of variation. Predictive equations may be reliable and valuable alternative methods for the clinical evaluation of fat-free mass in the adult population.

The Dietary Inflammatory Index is positively associated with cardiometabolic risk parameters in atherosclerosis patients.

Inflammation is implicated in the development and progression of a variety of cardiovascular diseases. We hypothesized that the Dietary Inflammatory Index (DII) is associated with anthropometric indices and metabolic parameters in Iranian atherosclerosis patients. The present cross-sectional study was conducted on 320 Iranian atherosclerosis patients. The DII was estimated using a valid and reliable 168-item food frequency questionnaire. Odds ratios and 95% confidence intervals were evaluated for anthropometric indices and metabolic parameters according to the DII score. Linear regression was used to estimate the relationship between DII scores with atherosclerosis-related dependent variables. According to the continuous score of DII, there was no significant association between DII and odds of obesity, total cholesterol/high-density lipoprotein cholesterol ratio, and aspartate aminotransferase/alanine aminotransferase ratio in all 3 models (P ≥ .05). In linear regression analysis, we found a significant association between DII score and fasting blood sugar, lipid profile (except for high-density lipoprotein cholesterol), liver enzymes (except for alkaline phosphatase), and serum sodium in adjusted models (P < .05). In this study, patients with atherosclerosis consuming a pro-inflammatory diet was positively associated with fasting blood sugar, lipid, and liver enzymes measures. Future studies with prospective and interventional designs are required to clarify the association between this dietary index and cardiovascular disease risk factors among patients with atherosclerosis.

Consumption of melatonin supplement improves cardiovascular disease risk factors and anthropometric indices in type 2 diabetes mellitus patients: a double-blind, randomized, placebo-controlled trial.

BACKGROUND: Diabetes mellitus is a common chronic disease. Dyslipidemia and hypertension are two complications that may develop in diabetic patients if hyperglycemia, insulin resistance, and weight gain are not controlled. This study investigated the effects of melatonin supplementation on some cardiovascular disease risk factors and anthropometric indices in patients with type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS: In this double-blind, randomized, placebo-controlled trial, 50 T2DM patients were randomly allocated to intervention and control groups which received two tablets of either melatonin or placebo (250 mg) once a day for 8 weeks. Systolic blood pressure (SBP), mean arterial pressure (MAP), pulse pressure (PP), the atherogenic index of plasma (AIP), weight, body mass index (BMI), waist and hip circumference (WC, HC), a body shape index (ABSI), abdominal volume index (AVI), body adiposity index (BAI), lipid accumulation product (LAP), conicity index, and waist-to-height ratio (WHtR) were evaluated in all the patients pre- and post-intervention. RESULTS: Melatonin supplementation for 8 weeks significantly decreased the mean levels of SBP, MAP, PP, weight, BMI, WC, HC, BAI, AVI, conicity index, and WHtR post-intervention (p <  0.05). Also, the median changes of SBP, MAP, PP, weight, BMI, WC, HC BAI, AVI, and conicity index were significantly lower in the intervention group compared with the control group (p <  0.05). A significant increase (p <  0.001) was observed in the mean levels of ABSI in the intervention group. The median changes of ABSI were significantly greater in the intervention group compared with the control group (p <  0.001). CONCLUSIONS: Consumption of melatonin supplement may be effective in controlling arterial pressure including SBP, MAP, and PP and anthropometric indices (as predictors of obesity) in T2DM patients. TRIAL REGISTRATION: Iranian Registry of Clinical Trials IRCT20190303042905N1 . Registered on 17 May 2019.

The association between dietary inflammatory index with sleep quality and obesity amongst iranian female students: A cross-sectional study.

BACKGROUND: Overweight, obesity and lack of sleep quality as inflammatory states are the common problems amongst college students and the Association of Dietary Inflammatory Index (DII) with these problems amongst this population is unknown. We aimed to evaluate the relationship of the DII with obesity and sleep quality amongst Iranian female students. METHODS: The present cross-sectional study was conducted on 249 female college students. The Dietary Inflammatory Index (DII) was calculated using a valid and reliable 147-item food frequency questionnaire (FFQ). To assess sleep quality, Pittsburgh Sleep Quality Index (PSQI) was used. Odds Ratio (OR) and 95% Confidence Intervals (CIs) were estimated for anthropometric indices and sleep quality according to the DII score. Linear regression was used to estimate the relationship between DII score with sleep and anthropometric indices. RESULTS: There was a significant association evident between DII and sleep quality (>5 is considered as poor quality of sleep); ie, the odds ratios between DII quartile 2 vs 1 (unadjusted model: OR = 0.33 (CI: 0.14-0.74), P for trend = .002; model 1: the fully adjusted OR = 0.31(CI: 0.12-0.78), P for trend = .005; model 2:OR = 0.30 (CI: 0.12-0.78), P for trend = .005) to quartile 4(unadjusted model: OR = 1.13(CI: 0.45-2.80); model 1: OR = 1.11(CI: 0.44-2.79); model 2:OR = 1.13(CI: 0.44-2.87), P for trend = .005). Also, odds ratios increased significantly from quartile 2 to quartile 4 in all models for DII and sleep quality. According to the continuous score of DII, there was a significant positive association between DII and sleep quality in all three models: unadjusted, model 1, and model 2 (OR = 1.21 (CI: 1.05-1.40), OR = 1.21 (CI: 1.03-1.43), and OR = 1.22 (CI: 1.03-1.44), respectively. CONCLUSIONS: In this study, after removing the effect of confounding factors, participants in the highest quartile of DII score had significantly higher PSQI global score.