Background There is a lack of studies examining the association between Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) and metabolic syndrome (MetS) and obesity. Thus, this study aimed to investigate the association of adherence to the MIND diet with MetS and general and abdominal obesity. Methods This cross-sectional study was performed on 836 Iranian adults, 18–75 years old. A 167-item food frequency questionnaire (FFQ) was used to assess dietary intakes of participants. Anthropometric measurements, blood pressure, fasting blood glucose and lipid profile of each participant were recorded. The guidelines of the National Cholesterol Education Program Adult Treatment Panel III (ATP III) was used to define MetS. Results Mean age of study participants was 47.7 ± 10.7 years. The prevalence of MetS was 36.1% and mean body mass index (BMI) and waist circumference (WC) was 27.7 ± 4.69 kg/m2 and 92.0 ± 12.4 cm respectively. Those who were in the third tertile of the MIND diet score compared to the first tertile had 12% lower odds of having the MetS (ORs: 0.88; 95% CI 0.62–1.24) but the association was not significant (P = 0.77). There was a significant inverse association between the MIND diet score and odds of reduced high-density lipoprotein cholesterol (HDL-C) (ORs: 0.59; 95% CI 0.41–0.85; P = 0.008) and general obesity (ORs: 1.190.80–1.78; 95% CI 0.80–1.78; P = 0.02) in crude model and after controlling for confounders. Conclusions We found that the MIND diet score is inversely associated with odds of reduced HDL and general obesity in Iranian adults.

Background: Data about the relation between dietary insulin load (DIL) and dietary insulin index (DII) with metabolic syndrome (MetS) and obesity are scarce. Therefore, the present study aimed to examine the association of the insulinemic potential of the diet with MetS and obesity amongst Iranian adults. Methods:This cross-sectional study was conducted amongst 850 adults aged 20-59 years. Dietary data were collected using a 168-item food frequency questionnaire. DIL was calculated using a standard formula and DII was obtained by dividing DIL by the total energy intake of each participant. The guidelines of the International Diabetes Federation were used to define MetS. General obesity was considered as body mass index ≥ 30 kg/m 2 , and abdominal obesity as waist circumference ≥ 94 cm for men and ≥ 80 cm for women.Results: Mean DIL and DII values were 101 684 ± 54 802 and 49.4 ± 33.4, respectively. The mean age of participants was 44.9 ± 10.7 years and 36.8%, 28.5% and 48.8% of participants were suffering from MetS, general and abdominal obesity, respectively. In contrast with DIL (P = .73), participants in the last quartile of DII (P = .62) had lower odds of MetS than the first quartile. There were non-significant inverse associations between DIL (P = .91, P = .85) and DII (P = .59, P = .53) with odds of general and abdominal obesity before and after the adjustment of confounders, respectively. Conclusions:We did not observe any significant association of DIL and DII with the risk of MetS and obesity amongst the Iranian population. Further prospective studies are needed to confirm the findings of this study.

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ObjectivesPrevious studies showed that melatonin supplementation may suppress oxidative stress, however, the results have not been consistent. So, we conducted this meta-analysis to assess the precise relationship between melatonin supplementation and oxidative stress.MethodsPubMed and Scopus were searched for randomized controlled trials that investigated the effect of melatonin supplementation on oxidative stress up to March 2020. Heterogeneity was assessed by Cochran’s Q test and I-square (I2) statistic. Data were pooled using the random effect model and standardized mean difference (SMD) was considered as the summary effect size. Also, standard methods were used for assessment of sensitivity analysis and publication bias.ResultsWe included 15 related articles and our findings indicated that melatonin supplementation significantly increased total antioxidant capacity (TAC) level (SMD: 1.03, 95% CI: 0.24, 1.81, p=0.011) and reduced protein carbonyl (PCO) (SMD: −1.78, 95% CI: −2.97, −0.58, p=0.004) and malondialdehyde (MDA) levels (SMD: −0.94, 95% CI: −1.48, −0.40, p=0.001). Additionally, there was considerable effect on TAC level by using ≥20 mg/d melatonin and in people under 35 years old. MDA level also decreased using dosage of below 20 mg/d and in people ≥35 years old.ConclusionsThe present study showed a promising effect of melatonin administration for reducing MDA, PCO, and increasing TAC levels. However, further studies especially with more attention to PCO level assessment are needed to confirm the findings of the present study in larger samples on different populations.

Obesity caused by excessive deposited fat, is generally classified as body mass index (BMI) ≥30 kg/m2. Research regarding the association between dietary advanced glycation end products (dAGEs) and obesity is limited. The aim of present study was to investigate the association between dAGEs and obesity and body composition in Iranian adults. This cross-sectional study included 265 adults aged 18-75 years from Tehran, Iran. Dietary AGEs was estimated using a validated semiquantitative food frequency questionnaire, according to the published food CML–AGE database for 549 routine consumed food items for the Northeastern American multiethnic urban population and was reported by dividing to total energy intake. Dietary intake, socio-demographic data and physical activity status were collected using validated questionnaires and anthropometric characteristics were measured. Body composition was assessed by bioelectrical impedance analysis (BIA) and obesity was defined based on world health organization (WHO) guidelines. The intake of fat and meat were significantly increased in higher tertiles, compared to the first tertile of dAGEs (P <0.001). No association between dAGEs and body composition measures and obesity was observed, however, there were a significant negative association between dAGEs and BMI (body mass index; P=0.01), WC (waist circumference; P=0.01), WHR (waist-to-hip ratio; P=0.03), FFM (fat free mass; P=0.02) and MMI (muscle mass index; P=0.01) in nonlinear models. In conclusion, higher consumption of dAGEs was associated with increased intake of fat and meat and was negatively related to changes in body composition measurements. Therefore dAGEs may connect obesity to diet by energy imbalance.