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Current evidence suggests that non-traditional serum lipid ratios are more effective than traditional serum lipid parameters in predicting vascular diseases, and both of them are associated with dietary patterns. Therefore, this study aimed to investigate the relationship between the dietary inflammatory index (DII) and atherogenic indices using traditional serum lipid parameters (triglyceride (TG), total cholesterol (TC), LDL cholesterol (LDL-c), high-density lipoprotein cholesterol (HDL-c)) and non-traditional serum lipid ratios (atherogenic index of plasma (AIP), Castelli's index-I (CRI_I), Castelli's index-II (CRI_II), the lipoprotein combination index (LCI), and the atherogenic coefficient (AC)). Basic information from the Ravansar Non-Communicable Diseases cohort study was utilized in the present cross-sectional observational study. The study included 8870 adults aged 35-65 years. A validated food frequency questionnaire (FFQ) was used to measure DII. We compared the distributions of outcomes by DII score groups using multivariable linear regression. The difference between DII score groups was evaluated by the Bonferroni test. The mean ± SD DII was - 2.5 ± 1.43, and the prevalence of dyslipidemia was 44%. After adjusting for age, sex, smoking status, alcohol consumption status, physical activity, systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood sugar (FBS), body mass index (BMI) and socioeconomic status (SES), participants in the highest quartile of DII had a greater risk for CRI_I (ß = 0.11, CI 0.05, 0.18), CRI_II (ß = 0.06, CI 0.01, 0.11), LCI (ß = 0.11, CI 288.12, 8373.11), AC (ß = 0.11, CI 0.05, 0.17) and AIP (ß = 0.06, CI 0.02, 0.10). Moreover, according to the adjusted logistic regression model, the risk of dyslipidemia significantly increased by 24% (OR: 1.24, 95% CI 1.08-1.41), 7% (OR: 1.07, 95% CI 0.94, 1.21) and 3% (OR: 1.03, 95% CI 0.91, 1.16) in Q4, Q3 and Q2 of the DII, respectively. Finally, diet-related inflammation, as estimated by the DII, is associated with a higher risk of CRI-I, CRI-II, LCI, AC, and AIP and increased odds of dyslipidemia.

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BACKGROUND: Phytochemicals are non-nutritive bioactive compounds with beneficial effects on the metabolism of glucose. This study aimed to clarify the possible causal effect of the pre-pregnancy dietary phytochemical index (DPI) on gestational diabetes mellitus (GDM). METHODS: In this prospective cohort study 1,856 pregnant women aged 18-45 years who were in their first trimester, were recruited and followed up until delivery. The dietary intakes of participants were examined using an interviewer-administered validated 168-item semi-quantitative food frequency questionnaire (FFQ). Inverse probability weighting (IPW) of propensity scores (PS), estimated from the generalized boosted model (GBM) were used to obtain a adjusted risk ratio (aRR) for potential confounders. RESULTS: During the follow-up period, 369 (19.88%) women were diagnosed with GDM. DPI scores ranged from 6.09 to 89.45. There was no association between DPI scores and GDM (aRR: 1.01, 95% confidence interval [CI]: 0.92, 1.08; p trend = 0.922). When comparing DPI quartile 4 (most pro-phytochemical content) to quartile 1 (few phytochemical contents), there was no significant difference between them (aRR: 0.97; 95% CI: 0.75, 1.25; p = 0.852). Also, there was no significant difference between DPI quartile 3 and quartile 1 (aRR: 1.04; 95% CI: 0.81, 1.34; p = 0.741) as well as DPI quartile 2 and quartile 1 (aRR: 0.92; 95% CI: 0.71, 1.21; p = 0.593). CONCLUSIONS: Although this data did not support the association between pre-pregnancy DPI scores and GDM, further cohort studies to ascertain the causal association between them are warranted.

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The prevalence of type 2 diabetes mellitus (T2DM) is increasing in middle- and low-income countries, and this disease is a burden on public health systems. Notably, dietary components are crucial regulatory factors in T2DM. Plant-based dietary patterns and certain food groups, such as whole grains, legumes, nuts, vegetables, and fruits, are inversely correlated with diabetes incidence. We conducted the present study to determine the association between adherence to a plant-based diet and the risk of diabetes among adults. We conducted a cross-sectional, population-based RaNCD cohort study involving 3401 men and 3699 women. The plant-based diet index (PDI) was developed using a 118-item food frequency questionnaire (FFQ). Logistic regression models were used to evaluate the association between the PDI score and the risk of T2DM. A total of 7100 participants with a mean age of 45.96 ± 7.78 years were analysed. The mean PDI scores in the first, second, and third tertiles (T) were 47.13 ± 3.41, 54.44 ± 1.69, and 61.57 ± 3.24, respectively. A lower PDI was significantly correlated with a greater incidence of T2DM (T1 = 7.50%, T2 = 4.85%, T3 = 4.63%; P value < 0.001). Higher PDI scores were associated with significantly increased intakes of fibre, vegetables, fruits, olives, olive oil, legumes, soy products, tea/coffee, whole grains, nuts, vitamin E, vitamin C, and omega-6 fatty acids (P value < 0.001). After adjusting for confounding variables, the odds of having T2DM were significantly lower (by 30%) at T3 of the PDI than at T1 (OR = 0.70; 95% CI = 0.51, 0.96; P value < 0.001). Our data suggest that adhering to plant-based diets comprising whole grains, fruits, vegetables, nuts, legumes, vegetable oils, and tea/coffee can be recommended today to reduce the risk of T2DM.

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This research investigated how the Dietary Inflammatory Index (DII) related to musculoskeletal issues in adults. It used a cross-sectional design with a sample of 3477 female and 3572 male participants aged 35 to 65 from the Ravansar Non-Communicable Diseases cohort study in western Iran. The DII is calculated from a Food Frequency Questionnaire (FFQ) to measure dietary intake. Musculoskeletal disorders including back pain, back pain/stiffness, joint pain, and joint pain/stiffness were evaluated by the RaNCD cohort study physician using a standard questionnaire. Logistic regression analysis examined the association between DII and musculoskeletal disorders. The findings demonstrated a positive association between higher DII scores and back pain/stiffness (OR 1.32, 95% CI 1.04-1.73, P = 0.047). Furthermore, DII displayed a significant association with a heightened odd to joint pain (OR 1.26, CI 1.10-1.46) when compared to those with lower DII scores (Q3 vs. Q1). After adjusting for cofounding factors, the Q3 DII quintile participants showed a 44% higher odd of experiencing joint pain/stiffness (OR 1.44, CI 1.01-2.05, P = 0.047). However, the study found no significant association between back pain and DII (P > 0.05). In conclusion, the research suggests that consuming a pro-inflammatory diet might be linked to developing musculoskeletal issues in adults.

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Since the release of the last meta-analysis on the association between fish intake and prostate cancer risk, several cohort studies have been published. Moreover, none of the previous meta-analyzes examined the dose-response association between fish intake and prostate cancer. Therefore, the current dose-response meta-analysis was conducted to summarize available findings on the associations of fish intake with the risk of prostate cancer in men. Online databases of PubMed, Scopus, and Web of Science were systematically searched up to September 2022. We included prospective cohort studies that examined the associations of fish intake with the risk of prostate cancer (total, localized, and advanced prostate cancer), its mortality, and cancer progression. Summary relative risks (RR) and 95% confidence intervals (CI) were calculated for the highest versus lowest categories of fish intake using random-effects models. Also, linear and non-linear dose-response analyzes were conducted. In total, 25 prospective cohort studies, recruiting 1,216,474 men, were included in the systematic review, and 22 studies were included in the meta-analysis. During the follow-up periods, ranging from 6 to 33 years, a total of 44,722 cases of prostate cancer were recorded. The comparison between the highest and lowest intakes of total fish revealed the summary RRs of 0.97 (95% CI: 0.86-1.10) for total, 1.01 (95% CI: 0.91-1.13) for advanced, and 0.90 (95% CI: 0.72-1.12) for localized prostate cancer, indicating no significant association. Moreover, the summary RR was 0.55 (95% CI: 0.33-0.92) for prostate cancer mortality and 0.84 (95% CI: 0.65-1.10) for prostate cancer progression, indicating an inverse association between fish intake and prostate cancer mortality. Also, in the dose-response analyzes, each 20 gram/day increase in total fish intake was associated with a 12% lower risk of prostate cancer mortality. Our findings support the protective association between total fish intake and the risk of prostate cancer mortality.

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BACKGROUND & AIMS: Premenstrual syndrome (PMS) is a common disorder affecting 30-40% of women of reproductive age. Many modifiable risk factors associated with PMS involve nutrition and poor eating habits. This study aims to explore the correlation between micronutrients and PMS in a group of Iranian women and to build a predictor model showing the PMS using nutritional and anthropometric variables. METHODS: This is a cross-sectional study which was conducted on 223 females in Iran. Anthropometric indices were measured, including Body Mass Index (BMI) and skinfold thickness. Machine learning methods were used to assess participants' dietary intakes, Food Frequency Questionnaire (FFQ) and analyze the data. RESULTS: After applying different variable selection techniques, we have created machine learning models such as KNN. KNN achieved 80.3% accuracy rate and 76.3% F1 score indicating that our model is a curate and valid proof to show a strong relationship between input variables (sodium intake, Skin fold thickness of suprailiac, irregular menstruation, total calorie intake, total fiber intake, trans fatty acids, painful menstruation (dysmenorrhea), total sugar intake, total fat intake, and biotin) and the output variable (PMS). We sorted these effective variables based on their 'Shapley values' and figured out that Na intake, suprailiac skinfold thickness, biotin intake, total fat intake and total sugar intake have a major impact on having PMS. CONCLUSIONS: Dietary intake and anthropometric measurements are highly associated with the occurrence of PMS, and in our model, these variables can predict PMS in women with a high accuracy rate.

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Findings on the association of dietary intake and tissue biomarkers of linoleic acid (LA) with the risk of prostate cancer are conflicting. Also, no meta-analysis summarized available findings in this regard. Therefore, the current systematic review and dose-response meta-analysis were done to summarize the findings of prospective cohort studies that assessed dietary intake and tissue biomarkers of LA in relation to prostate cancer risk in adults. We conducted a systematic search using online databases, including PubMed, Scopus, and ISI Web of Science, to identify eligible articles published up to January 2023. We included prospective cohort studies that examined the associations of dietary intake and tissue biomarkers of LA with the risk of prostate cancer (total, advanced, and fatal prostate cancer). Summary relative risks (RR) and 95% confidence intervals (CI) were calculated for the highest versus lowest intakes/tissue levels of LA using a fixed-effects model. Also, linear and non-linear dose-response analyses were conducted. In total, 15 prospective cohort studies were included. These studies recruited a total sample size of 511,622 participants with an age range of ≥18 years. During the follow-up periods ranging from 5 to 21 years, 39,993 cases of prostate cancer, 5,929 cases of advanced prostate cancer, and 1,661 cases of fatal prostate cancer were detected. In the meta-analysis, we found that higher tissue levels of LA were associated with a reduced risk of prostate cancer (RR: 0.86, 95% CI: 0.77-0.96) so that in the dose-response analysis, each 5% increase in levels of LA was associated with a 14% lower risk of prostate cancer. Such a significant association was not seen for advanced prostate cancer (RR: 0.86, 95% CI: 0.65-1.13). Also, we found no significant association between dietary intake of LA and risk of total (RR:1.00, 95% CI: 0.97-1.04), advanced (RR: 0.98, 95% CI: 0.90-1.07), and fatal prostate cancer (RR: 0.97, 95% CI: 0.83-1.13). Our findings support the protective association between tissue levels of LA and the risk of prostate cancer in men.

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Diabetes mellitus (DM) and obesity are common illnesses characterized by glucose metabolism issues and excessive weight gain. Breastfeeding is the best way to feed a newborn up to 6 months old and it has been shown to reduce the risk of diabetes and obesity later in life due to its nutritional properties. The purpose of this study was to investigate the effects of breastfeeding, formula feeding, and formula-plus breastfeeding (mix-feeding) on the anthropometric indices, metabolic variables, and the expression level of obesity and diabetes-predisposing genes of healthy infants. A total of 150 healthy infants were enrolled in this cross-sectional study. All infants (aged 24 months) were divided into three groups based on the type of feeding, breastfeeding, formula feeding, and mix-feeding. The anthropometric indices, glycemic indexes, lipid profile, and the expression levels of acetyl-coenzyme A carboxylase beta (ACACB), brain-derived neurotrophic factor (BDNF), liver X receptor α (LXR-α), peroxisome proliferator-activated receptor γ (PPAR-γ), and phosphatase and tensin homolog (PTEN) genes were measured in all infants using reverse transcription-polymerase chain reaction (RT-PCR) method. The anthropometric indices including weight, height, head circumference, insulin, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) were lower in the breastfeeding infants in comparison to other groups. As well, the expression level of the ACACB gene was significantly downregulated in breastfeeding infants, while the PPAR-γ gene was significantly upregulated, but the expression levels of LXR- α, PTEN and BDNF did not change significantly across groups. Breastfeeding compared to formula feeding had positive effects on anthropometric indices, metabolic variables, and diabetes-predisposing genes.

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Background: Flaxseed has rich content of alpha linolenic acid for preventing pro inflammatory process. The aim of present study is exploring the effect of flaxseed oil supplementation on inflammatory biomarkers and body composition in overweight adults with pre-diabetes. Material and methods: this double-blind randomized clinical trial conducted with 80 overweight pre-diabetic patients in 2 clusters (flaxseed oil group (2000-mg daily) and control group) across a 14-week period. Anthropometric indices, body composition and inflammatory indices were measured between 2 groups before and after the treatment. Result: this study found a significant decrease in visceral fat level in the intervention group (P = .009) and control group (P = .004) at the end of the survey. However, the mean change of it (P = .06) was not significant. Also, this study showed that percentage of body fat (P = .31) and its mean change (P = .6) did not have significantly different between the 2 groups at the 14th week. The skeletal muscle% had a significant rise in the intervention group (P = .005) and control group (P = .003) by the end of 14th week. However, the mean change of it (P = .19) was not significant between the 2 groups. In addition, there was no significant change in the fasting blood glucose (P = . 7), C reactive protein (P = .12) and TNF-α (P = .22) between the 2 groups at the end of study. Conclusion: It showed that flaxseed oil supplementation cannot improve body composition and inflammation.

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PURPOSE: Polycystic ovary syndrome (PCOS) is an endocrine disorder and a common cause of infertility among women that is associated with low-grade inflammation. Therefore, the current randomized, double-blind, placebo-controlled clinical trial was conducted to assess the effects of green cardamom supplementation on the serum level of inflammatory markers and their gene expression among obese women with PCOS. METHODS: We included 194 obese women with PCOS and administered low-calorie diet to all of them. These subjects were randomly divided into two groups including the intervention group with 3 g/day green cardamom (n = 99) and the placebo group (n = 95). Anthropometric indices, androgen hormones, and inflammatory factors [tumor necrosis factor-α (TNF-α), interleukin 6 (IL-6), and C-reactive protein (CRP)] were assessed before and after the 4-month intervention. TNF-α, IL-6, and CRP gene expression levels were measured using reverse transcription-polymerase chain reaction (RT-PCR) method. RESULTS: Anthropometric indices were improved in both studied groups (P < 0.001). Among androgen hormones, luteinizing hormone, androstenedione, and dehydroepiandrosterone were significantly decreased (P < 0.001), and follicle-stimulating hormone was significantly increased (P < 0.001) in the green cardamom group. Our findings showed that TNF-α, IL-6, and CRP serum levels were significantly decreased after the intervention with green cardamom plus low-calorie diet (P < 0.001). In addition, the expression levels of TNF-α and CRP genes were significantly decreased in the intervention group (P < 0.001). CONCLUSIONS: The present study supports the beneficial anti-inflammatory effect of green cardamom on the inflammatory state in PCOS women. LEVEL OF EVIDENCE: Level I: randomized clinical trial. Trial registration This trial was registered with the Iranian Clinical Trials Registry (registration number: IRCT20200608047697N1). 1 August, 2020; https://www.irct.ir/trial/48748 .

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BACKGROUND & AIMS: Rhus coriaria L. (Sumac) is a popular spice/herb with several biological functions owing to its antioxidant and insulin-like activities. Many clinical trials have indicated the potent anti-diabetic property of sumac but the results on few glycemic indices were inconclusive. Hence, this systematic review and meta-analysis were aimed to investigate sumac supplementation effect on glycemic indices. METHODS: Systematically searched was performed by two independent reviewers using online databases including: PubMed, Scopus, web of science, EMBASE from inception until November 2020. Data were pooled using a random-effects model and weighted mean difference (WMD) with 95 % confidence intervals (CI). RESULTS: A total of 6 potentially relevant clinical trials met the inclusion criteria with total of 278 participants. Random-effects meta-analysis suggested no significant effects on the levels of fasting blood glucose [-7.08 mg/dl, 95 % CI: -14.85 to 0.70,P = 0.07, I2 = 59.8 %], glycosylated hemoglobin (HbA1c) [-0.48 %, 95 % CI: -1.01 to -0.04, P = 0.07, I2 = 0.0 %], homeostatic model assessment for insulin resistance (HOMA-IR) [-0.97, 95 % CI: -1.96 to 0.02, P = 0.05, I2 = 83.8 %], and insulin [-2.94 Hedges' g, 95 % CI: -6.67 to 0.80, P = 0.12, I2 = 83.1 %] following supplementation with sumac powder. CONCLUSION: This meta-analysis showed no significant effects on any glycemic indices following supplementation with sumac powder.

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Gastroesophageal reflux disease (GERD) is a chronic condition which has a high global prevalence. Dietary intake is considered to be a contributing factor for GERD. However, scientific evidence about the effect of diet on the risk of GERD is controversial. This systematic review was conducted to address this issue. A comprehensive structured search was performed using the MEDLINE, Scopus, and Web of Science databases up to August 2020, in accordance with the PRISMA statement. No restrictions were set in terms of language, time of publication, or study location. Study selection and data abstraction was conducted independently by two authors, and risk of bias was assessed using a modified Quality in Prognosis Studies Tool. Eligible studies evaluating the impact of food and dietary pattern on GERD were included in qualitative data synthesis. After excluding duplicate, irrelevant, and low quality studies, 25 studies were identified for inclusion: 5 case-control studies, 14 cross-sectional studies, and 6 prospective studies. This review indicates that high-fat diets, carbonated beverages, citrus products, and spicy, salty, and fried foods are associated with risk of GERD.

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AIMS: The objective of the present study was to perform a systematic review and meta-analysis on randomized controlled trials (RCTs) assessing the effects of Nigella sativa L. supplementation on the circulating inflammatory and oxidative stress markers, including C-reactive protein (CRP), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), total antioxidant capacity (TAC) and malondialdehyde (MDA). METHODS: Systematic search was performed up to March 2020 using PubMed, Scopus, and ISI web of science databases. Two reviewers independently assessed study eligibility, extracted data, and evaluated methodological quality of included primary studies. Statistical heterogeneity was assessed using I-square (I2) statistic. Data were pooled by using the random-effect model and standardized mean difference (SMD) was considered as the summary effect size. RESULTS: Twelve trials were identified to be suitable for our meta-analysis. The pooled results using random effects model indicated that Nigella sativa supplementation significantly reduced CRP (SMD: -0.35; 95% CI: -0.59, -0.12, P < 0.001, I2 = 10.5%) and MDA concentrations (SMD: -0.56; 95% CI: -0.98, -0.15, P < 0.001, I2 = 64.7%). Moreover, Nigella sativa supplementation increased TAC (SMD: 0.48; 95% CI: 0.09, 0.87, P = 0.01, I2 = 65.6%) levels; however, it did not affect TNF-α (SMD: -0.35; 95% CI: -0.70, 0.01, P = 0.05, I2 = 58.2%). CONCLUSION: Nigella sativa supplementation is associated with improved inflammation and oxidative status. Additional prospective studies are recommended using higher supplementation doses and longer intervention period.

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PURPOSE: Dietary habit and body composition can develop risk of menstrual disorders. The objective of this study was to assess the relationship between macronutrient intake, anthropometric indices, and menstrual disorders. METHODS: This cross-sectional study was conducted on 217 women with an average age of 28.8 ± 7.9 years. Anthropometric indices including body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and skinfold thickness from all participants were measured. Menstrual cycle characteristics were self-reported. The dietary habits were assessed by using a modified, semiquantitative 147 items Food Frequency Questionnaire (FFQ) by two trained dietitians. Chi-square and independent T-test were used to assess bivariate associations and logistic regression was implemented in SPSS 21. RESULTS: Most of the participants (52.5%) suffered from at least one of the menstrual disorders including painful menstruation (41%), premenstrual syndrome (PMS) (24.9%), and irregular menstruation (22.1%). The mean of waist circumference in women with no complication was 76.0 ± 11.8 and in women with at least one disorder was 86.7 ± 14.0 (P < 0.001). Our results suggest that women with no disorder consumed less calorie, carbohydrate, protein, and fat in comparison to women with at least one disorder (P < 0.001). Furthermore, the proportion of all kinds of disorders among women, who had overweight or obesity, was significantly higher than women with normal BMI (P < 0.001). CONCLUSION: Irregular menstruation, painful menstruation, and PMS were significantly associated with high intake of calories, proteins, carbohydrates, and total fat. Furthermore, menstruation-related complications were worsened by obesity.

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BACKGROUND AND AIMS: Oxidative stress (OS) is one of the main risk factors for several chronic diseases. The Dietary Approaches to Stop Hypertension (DASH) contain many antioxidants and may contribute to managing OS. OBJECTIVE: To perform a systematic review and meta-analysis to examine the impacts of the DASH diet on OS parameters. METHODS: A comprehensive electronic search in MEDLINE, Scopus, EMBASE, and the Cochrane Central Register of Controlled Trials was performed through September 2020 to find related studies evaluating the impact of the DASH diet on OS parameters. Standardized mean differences were pooled using random-effects meta-analysis. RESULTS: Eight studies with a total of 317 subjects met our inclusion criteria. Four studies included in meta-analysis model with 200 participants (100 in treatment and 100 in control group). The DASH diet was associated with a statistically significant decrease in malondialdehyde (MDA) (SMD: -0.53; 95% CI: -0.89, -0.16; I2 = 42.1%), and a significant increase in glutathione (GSH) (SMD: 0.83; 95% CI: 0.36, 1.03; I2 = 42.1%). Meta-analysis found no statistically significant effect of DASH diet on nitric oxide (NO) (SMD: -1.40; 95% CI: -0.12, 1.93; I2 = 92.6%) or total antioxidant capacity (TAC) levels (SMD: 0.95; 95% CI: -0.10, 1.99; I2 = 87.6%). CONCLUSION: Our results demonstrated that a DASH diet could significantly increase GSH and decrease MDA levels. Furthermore, there is a trend to improve TAC, NO, and f2-isoprostanes by the adherence to the DASH diet. However, long-term, large sample size and well-designed randomized clinical trials are still needed to draw concrete conclusions about DASH diet's effects on OS parameters.

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