ABSTRACT
Celery (Apium graveolens) was shown to have beneficial effects on cardiometabolic factors in animal models. As the progression of type 2 diabetes mellitus (T2DM) adversely affects cardiometabolic factors, we aimed to assess the effects of celery powder on glycemic and anthropometric indices, lipid profile, liver function, oxidative stress, and blood pressure of individuals with T2DM. In a pilot randomized, double-blinded, placebo-controlled clinical trial, 50 eligible adults with T2DM were randomly divided into two groups of intervention and control to consume either 750 mg of celery powder (obtained from fresh celery) or placebo along with a low-calorie diet for 12 weeks, respectively. Dietary intake, physical activity, and cardiometabolic factors were assessed before and at the end of the study. Thirty-six patients finished the study (18 in each group). Consumption of celery powder significantly reduced body fat percentage (p = .021). Between-group analysis for changes in cardiometabolic factors did not show significant differences. Although malondialdehyde was reduced in the intervention group and increased in the control group, between-group changes were not significant. Although the insulin-level change was statistically insignificant, a clinical improvement was observed in the intervention group. A 750-mg daily supplementation of celery powder for 12 weeks did not improve the cardiometabolic factors of patients with T2DM. Further studies are suggested.
ABSTRACT
BACKGROUND: We examined the cross-sectional associations of dietary Glycemic Index (GI), Glycemic Load (GL), Dietary Insulin Index (DII), and Dietary Insulin Load (DIL) with cardiovascular disease (CVD) factors in subjects with atherosclerosis. METHODS: The present cross-sectional study was conducted on subjects with atherosclerosis. Regular dietary intake was assessed using a 168-item semi-quantitative food frequency questionnaire (FFQ) and GI, GL, DIL, and DII were also calculated. Odds Ratio (OR) and 95% Confidence Intervals (CIs) were estimated for general and central obesity according to the GI, GL, DII, and DIL. RESULTS: According to the continuous score of GL, there was a significant positive association between GL and central obesity for women in all models. Regarding the association between DIL score and biochemical variables, there was a significant positive association between Na and Aspartate transaminase (AST) with DII. Moreover, there was a significant positive association between LDL-c(p = 0.03) and AST (p = 0.04)with DIL score in all 3 models. CONCLUSION: In this study, GL was associated with greater odds of central obesity in women, but not in men. Neither dietary DII nor DIL was associated with BMI and central obesity. GI, GL, DII, and DIL were significantly associated with some CVD risk biomarkers in subjects with atherosclerosis.
ABSTRACT
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.
ABSTRACT
Background: Several diet quality scores have been developed to evaluate the health benefits of individual diets such as Healthy Eating Index (HEI), Dietary Approach to Stop Hypertension (DASH), and Mediterranean diet score (Med). This study aims to determine the relationship between dominant dietary health scores with the risk of atherosclerosis in Iranian adults. Methods: This case-control study was conducted on 323 patients with atherosclerosis and 334 individuals without atherosclerosis as control group. Food Frequency Questionnaire was used for obtaining dietary intakes; then HEI, DASH score, and Med score was calculated. Logistic regression models were used to calculate Odds Ratios (OR) and 95% Confidence intervals (CI) between quartiles of the HEI, DASH and Med and atherosclerosis risk. Results: The results showed that total scores for HEI, DASH, and Med in control group was higher than the atherosclerosis group. The results also indicated that higher adherence to HEI (OR: 0.43; CI: [0.24, 0.76], P-trend = .006), DASH (OR: 0.48; CI: [0.3, 0.78], P-trend = .003), and Mediterranean pattern (OR: 0.4; CI: [0.21, 0.76]) decreased odds ratio of atherosclerosis. Conclusion: Our findings suggest that adherence to HEI, DASH, and Mediterranean diet might be associated with a lower risk of Atherosclerosis and can have a positive effect on general health and prevention of chronic diseases in people.
ABSTRACT
BACKGROUND: Numerous factors such as nutrition and diet can affect the quality of sleep of people, especially employees. The aim of this study was to investigate the relationship between university employees' sleep quality and their dietary quality scores (HEI, DII and DASH score). MATERIALS AND METHODS: This cross-sectional study was performed on 211 employees with a mean age of 38.75±11.31. Nutritional status of individuals was determined through the Food Frequency Questionnaire (FFQ) and to assess sleep quality, the Pittsburgh Sleep Quality Index (PSQI) was used. The quality of sleep decreases with increasing Pittsburgh index score. The calculated dietary quality scores include DASH Index, Healthy Nutrition Index (HEI) and Diet Inflammation Index (DII). RESULTS: The results of this study after adjusting for confounding showed a significant positive relationship between DASH diet score and sleep duration (p <0.001). There was a significant negative relationship between HEI score and total score of PSQI (P = 0.003). Also, HEI score had a significant positive relationship with sleep duration in the unmodified and modified models (p <0.001), and a significant negative relationship was seen in unadjusted and modified model between DII score and sleep duration (p <0.001). CONCLUSION: It can be concluded that with increasing the diet quality in employees, the sleep quality also increases. This was the first study in south of Iran that examined the quality of sleep and diet of employees and the result of this study can affect the general health and improve the quality of foods consumed by employees.
