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Adherence to plant-based diets has significantly increased in popularity recently, with claims that they reduce the risk of non-communicable diseases. This study investigated whether high adherence to plant-based diets can reduce the risk of hepatic steatosis and fibrosis. In this study, 8516 participants from the Ravansar Noncommunicable Disease cohort completed a validated food frequency questionnaire (FFQ) to assess their plant-based diet scores. The study used the fatty liver index and fibrosis-4 index to predict hepatic steatosis and fibrosis. The plant-based diet index (PDI) was used to measure the overall quality of diets from healthy and unhealthy plant-derived foods and animal-derived foods. Associations were determined using binary logistic regression, considering potential confounders. Participants in the highest tertiles of plant-based diet scores had higher energy-adjusted intakes of fructose than those in the lowest tertiles (16.09 ± 12.11 vs. 26.65 ± 12; P-value < 0.001). In multivariable-adjusted models, participants in the highest tertile of PDI had lower odds of hepatic fibrosis than those in the lowest tertile (OR: 0.59; 95%CI: 0.43–0.81). There was no significant association between adherence to PDI and hepatic steatosis after adjustment for potential confounders (OR: 0.989; 95%CI 0.78 − 1.25). The odds of hepatic fibrosis decreased by 6% for each unit increase in healthy plant-based foods (OR: 0.94; 95%CI: 0.91–0.97). The odds of hepatic steatosis increased by 14% for each 1 SD increase in fructose intake (OR: 1.14; 95% CI: 1.02–1.28). This study highlights the potential benefits of high adherence to plant-based diets in reducing the risk of hepatic fibrosis, but high fructose content in some plant-based foods may have an unfavorable role in hepatic steatosis. These findings highlight the importance of selecting whole, fiber-rich plant foods and minimizing intake of fructose-dense products in plant-based diets to promote liver health. Therefore, selecting low-fructose food items in plant-based diets is recommended, though further research is needed to confirm these findings.

It has been suggested that abdominal obesity might be a better cardiovascular diseases (CVDs) discriminator than overall obesity. The most appropriate obesity measures for estimating CVD events in Kurdish populations have not been well-recognized. The objective of the present study was, therefore, to determine the cutoff points of BMI, waist circumference (WC), waist-to-hip ratio (WHR), and waist to height ratio (WHtR) as the diagnostic cut-offs to discriminate the prevalent cardiovascular diseases. The data collected from Ravansar Non-Communicable Disease (RaNCD) cohort, the first Kurdish population-based study, was analyzed. The information related to BMI, WC, WHR and WHtR of 10,065 adult participants in the age range of 35–65 was analyzed in this study. Receiver operating characteristic (ROC) analyses were conducted to evaluate the optimum cut-off values and to predict the incidence of cardiac events. The results showed that WHtR had the largest areas under the ROC curve for cardiac events in both male and female participants, and this was followed by WHR, WC, and BMI. The optimal cut-off values for determining the cardiac events in the Kurdish population were BMI = 27.02 kg/m 2 for men and BMI = 27.60 kg/m 2 for women, WC = 96.05 cm in men and 99.5 cm for women, WHRs = 0.96 in both sexes, and WHtR = 0.56 for men and 0.65 for women. The current study, therefore, showed that WHtR might serve as a better index of prevalent cardiac event than BMI, WHR and WC.

Background Gastroesophageal reflux disease (GERD) in the long term reduces the quality of life, leading to digestive diseases. The present study aims to determine the risk factors for GERD. Method This study was conducted on 9,631 adults aged 35–65 years. The demographic characteristics, behavioral habits, nutritional intake, physical activity, anthropometric indices, and GERD data were extracted from the databank related to the Ravansar non-communicable diseases (RaNCD). Statistical analysis was performed using logistic regression models. Results The prevalence of GERD was 10.99% ( n  = 1,058). The GERD was higher among older age and women. After adjusting for age and sex, the odds of GERD among current smokers was 23% higher than non-smokers. Drinking increased odds of GERD (OR: 1.51; 95% CI: 1.13, 1.99). The odds of GERD among depressed individuals were 46% higher than non-depressed. In addition, a significant relationship was observed between the high intake of sweets and desserts with increased GERD (OR: 1.02, 95% CI: 1.01, 1.03). Further, high intake of fiber (OR: 0.98, 95% CI: 0.97, 0.99) and dairy (OR: 0.99, 95% CI: 0.98, 0.99) was related to reducing the odds of GERD. Furthermore, a significant relationship was reported between the waist hip ratio (WHR) and visceral fat area (VFA) with increased odds of GERD. Finally, the physical activity level was inversely related to GERD. Conclusion Based on the results, smoking, alcohol, inactivity, high intake of sweets and desserts, low intake of fiber, depression, visceral fat, and obesity are considered as risk factors for GERD. Modifying lifestyle and behavioral habits prevent GERD.

The quality of drinks affects the functioning of the liver. In recent decades, the variety of high-calorie and sweet drinks has increased. The objective of this study was to explore the association between Healthy Beverage Index (HBI) and the risk of nonalcoholic fatty liver disease (NAFLD) among adults. We included 6,276 participants aged 35 to 65 from the Ravansar Non-Communicable Disease (RaNCD) cohort study at baseline. NAFLD is defined based on the fatty liver index (FLI), calculated using anthropometric measurements and non-invasive markers. The HBI was developed using a combination of water, low-fat milk, 100% fruit juice, sugar-sweetened beverages, met fluid requirement and % energy from beverages. Logistic and linear regression models were employed to investigate the associations of the HBI and high FLI. The average FLI was significantly lower in the first tertile of HBI compared to the third tertile (47.83 vs. 45.77; P  = 0.001). After adjusting for confounding variables, the odds of high FLI decreased by 28% (OR 0.72, 95% CI 0.63, 0.82) in the second tertile of HBI and by 21% in the third tertile (OR 0.79, 95% CI 0.70, 0.91). There was no correlation between gamma glutamyl transferase (GGT), alanine aminotransferase (ALT), alkaline phosphatase (ALP) and aspartate transaminase (AST) levels with HBI. The study findings indicate an inverse association between high FLI and HBI. Therefore, it is recommended to consume healthy beverages and without added sugar. However, additional longitudinal studies are required to examine the association between beverage consumption and the development of NAFLD.

Alzheimer’s disease (AD) is a progressive neurodegenerative disease leading to a gradual and irreversible loss of memory, linguistic skills, and perception of time and space, thinking, and behavior. Dietary pattern has been presented as a contributor to the incidence of Alzheimer’s. This study aimed at reviewing the evidence on the relation between dietary pattern and AD. This systematic search was performed on the articles available in PubMed, Scopus, and Web of Sciences databases until May 2019 using keywords, including (diet, food, dietary pattern, food pattern) and (Alzheimer’s disease) among observational studies. After excluding duplicated, and irrelevant studies, 26 studies were eligible for this review study. We categorized the studied dietary patterns into two groups: healthy and unhealthy diet. This study reviewed two case-control, five cross-sectional, and 19 prospective studies. Eight studies assessed unhealthy diet (high-fat diet, high-glycemic diet, sweetened sugary beverage, etc.) and the risk of AD. In addition, the other studies considered the effect of healthy diet such as Mediterranean diet, dietary approaches to stop hypertension (DASH), Mediterranean-DASH intervention for neurodegenerative delay, and seafood-rich diet on AD. This literature review indicated that adherence to a healthy dietary pattern has neuroprotective effects on AD prevention, while unhealthy diet can cause neurodegenerative effects in AD etiology. In conclusion, our findings showed that adherence to healthy diet can decrease oxidative stress and inflammation and accumulation of amyloid-β and consequently can decrease the risk of AD.

Ischemic heart disease (IHD) is a condition in which the heart is starved of oxygen. Knowing the dietary risk factors implementing appropriate nutritional interventions in this regard seems essential. Therefore, the present study was carried out to determine the epidemiological features of IHD affected by dietary risks. This study used data from the Global Burden of Disease (GBD) study. In this study, we collected information on death, years lived with disability (YLD), and disability-adjusted life years (DALYs) of IHD affected by dietary risks in one hundred thousand people with 95% confidence based on the direct Age Standard Rate (ASR). We applied these data based on the Socio-demographic Index (SDI). In 2019, the number of IHD deaths, YLDs, and DALYs attributable to dietary risks was 62.43 million (95% UI [50.97–73.63] per 100,000 population), 36.88 (95% UI [23.87–53.32] per 100,000 population), and 1271.32 (95% UI [1061.29–1473.75] per 100,000 population), respectively. We found that the lowest DALYs of IHD affected by dietary risks by ASR are for high SDI countries. Most dietary risk factors related to IHD in countries with high and high middle SDI were related to a diet high in red and processed meat, sodium, and low in legumes, but in countries with low and low middle SDI, it was related to a diet low in fiber, fruit, nuts and seeds, PUFA, seafood W3 fatty acids, vegetables and whole grain. Considering that the dietary risk factors related to IHD are different based on SDI, it is necessary to consider nutritional interventions according to SDI.

Background Type 2 diabetes (T2D) is one of the most common chronic diseases and the main risk factors for T2D consist of a combination of lifestyle, unhealthy diet, and genetic factors. Amino acids are considered to be a major component of dietary sources for many of the associations between dietary protein and chronic disease. Therefore, this study amied to determine the association between dietary amino acid intakes and the incidence of T2D. Methods The present nested case-control study was conducted using data from the Ravansar Non-Communicable Disease (RaNCD) Cohort Study. The information required for this study was collected from individuals who participated in the Adult Cohort Study from the start of the study until September 2023. Over a 6-year follow-up period, data from 113 new T2D cases were available. Four controls were then randomly selected for each case using density sampling. Cases and controls were matched for sex and age at the interview. Food frequency questionnaire (FFQ) was used to collect data related to all amino acids including tryptophan, threonine, isoleucine, leucine, lysine, methionine, cysteine, phenylalanine, tyrosine, valine, arginine, histidine, alanine, aspartic acid, glutamic acid, glycine, proline, and serine were also extracted. Binary logistic regression was used to estimate the crude and adjusted odds ratio for the risk of T2D. Results Using the univariable model, a significant association was found between T2D risk and branched-chain, alkaline, sulfuric, and essential amino acids in the fourth quartile. Accordingly, individuals in the fourth quartile had a 1.81- to 1.87-fold higher risk of developing new T2D than individuals in the lowest quartile ( P <0.05). After adjustment for several variables, the risk of developing a new T2D was 2.70 (95% CI: 1.16-6.31), 2.68 (95% CI: 1.16-6.21), 2.98 (95% CI: 1.27-6.96), 2.45 (95% CI: 1.02-5.90), and 2.66 (95% CI: 1.13-6.25) times higher, for individuals in the fourth quartile of branched-chain, alkaline, sulfuric, alcoholic, and essential amino acids compared with those in the lowest quartile, respectively. Conclusions The results showed that the risk of developing a new T2D was higher for individuals in the fourth quartile of branched-chain amino acids, alkaline, sulfate, and essential amino acids than in the lower quartile.

The aim of this study was to assess the association between dietary inflammatory index (DII) and non-invasive markers of liver status in adults. This cross-sectional study was performed on 8520 adults, recruited in Ravansar Non-Communicable Diseases (RaNCD) cohort study, western Iran. The DII score was calculated based on participants’ dietary intakes obtained from Food Frequency Questionnaire (FFQ). Fatty Liver Index (FLI) score was calculated by anthropometric measurements and some non-invasive markers of liver status. Linear regression models were applied to estimate the associations and adjust the possible confounding factors. A greater DII score was significantly associated with higher energy intake, body mass index (BMI), body fat mass (BFM), blood pressure, and FLI (P < 0.001). Participants with the highest DII score had a significantly higher consumption saturated fat, trans fat and red meat than those in the lowest quartile (P < 0.001). After adjustments of age and sex, participants in the highest quartile of the DII score had a greater risk of FLI (β: 0.742, 95% CI: 0.254, 0.601). More pro-inflammatory diet in participants was associated with a higher FLI. The DII score was positively associated with non-invasive liver markers. Thus, having an anti-inflammatory diet can help balance liver enzymes, reduce obesity, and decrease fatty liver.

Background Smoking is the most preventable cause of most chronic diseases such as cardiovascular disease (CVD). Dyslipidemia is also an important risk factor for CVD. Yet, research has provided contradicting findings regarding the association between smoking and blood lipids. This paper examines the relationship between dyslipidemia and smoking based on the results of a cross-sectional sample of a Kurdish population in western Iran. Methods This population-based study was derived from the recruitment phase of Ravansar Non-Communicable Disease (RaNCD) cohort study. Logistic regression model adjusted by confounding variables was used to determine the relationship between smoking and blood lipid components. In addition, dose-response relationship between blood lipids and the number of smoked cigarettes was evaluated. Results For the purpose of this study, 7586 participants were examined. The lifetime prevalence of smoking was 19.9%, and 11.8% were current smokers. The prevalence of dyslipidemia in current smokers (54.9%) was higher than former smokers (43.9%) and in turn former smokers higher than non-smokers (38.0%). Current smokers had greater risk of abnormal HDL cholesterol [OR (95% CI), 2.28(1.98 -2.62)] and triglyceride [OR (95% CI), 1.37(1.15 -1.67)] compared to non-smokers. There was no significant difference in total cholesterol and LDL cholesterol between the two groups. A dose-response relationship was found between the number of cigarettes smoked and HDL-C and TG but no relationship was observed in terms of total cholesterol and LDL-C. Conclusions As compared to non-smokers, current smokers and former smokers had abnormal HDL-C and triglyceride and abnormal total cholesterol and triglyceride, respectively. After quitting smoking, heavy smokers showed a more normal HDL-C and total cholesterol levels than the people who tended to smoke a lower number of cigarettes per day.

Background Visceral adiposity index (VAI) and atherogenic index of plasma (AIP) are relatively new indicators for predicting non-communicable diseases (NCDs). Therefore, the present study was done to assess the association of AIP and VAI with risk of cardiovascular diseases (CVDs). Methods This cross-sectional study was conducted on 7,362 individuals aged between 35 and 65 years old participated in Ravansar non-communicable diseases (RaNCD) cohort study. AIP was calculated based on levels of triglyceride and high -density lipoprotein cholesterol (HDL-C). VAI was calculated using values of body mass index (BMI), waist circumference (WC), triglyceride, and HDL-C. Logistic regression models were used to assess the association of AIP and VAI with risk of CVDs. Results Mean values of anthropometric indices, lipid profile, AIP, and VAI were significantly higher in patients with CVDs than individuals without CVDs ( P  < 0.001). Mean values of anthropometric indices, lipid profile, and NCDs including hypertension, dyslipidemia, diabetes, metabolic syndrome (MetS), and CVDs in the third tertile of AIP and VAI were significantly increased compared to the first tertile ( P  < 0.001). After adjusting confounding factors, risk of CVDs in the third tertile of AIP was (OR = 1.32, 95 % CI: 1.03, 1.69) significantly increased compared to the first tertile. Risk of CVDs in the third tertile of VAI was (OR = 1.48, 95 % CI: 1.12, 1.97) significantly increased compared to the first tertile. Conclusions According to the findings, AIP and VAI were positively associated with risk of CVDs. Therefore, AIP and VAI can be useful in identifying high-risk subgroups of CVDs in general population.