OBJECTIVE: The aim of the present study was the association between the relationship between Dietary Quality Index-International (DQI-I) and Healthy Eating Index (HEI) and the urinary levels of F2alpha-isoprostane (F2a-IP) and 8-hydroxy-2\'-deoxyguanosine (8-OHdG) was investigated as indicators of oxidative stress.
RESULTS: Based on HEI (low, moderate, and good), the diet quality of both groups was classified as moderate. In all participants, HEI (β=-0.29; P = 0.04) and DQI-I (β=-0.46; P = 0.005) were inversely associated with 8-OHdG. Furthermore, a negative correlation was found between HEI (mean β=-3.53; P = 0.04) and DQI-I (mean β=-5.53; P = 0.004) with F2a-IP. The quality of the footballers\' diet was higher than that of the control group. Following a high-quality diet, which is rich in antioxidants, is likely to effectively reduce oxidative stress.

BACKGROUND: Preeclampsia is a significant complication that occurs during the second half of pregnancy. Recent studies have indicated that dietary factors play a crucial role in the development of preeclampsia. The Diet Quality Index-International (DQI-I) and Dietary Diversity Score (DDS) are appropriate indices for assessing the quality of foods, meals, and diets. This study aimed to investigate the relationship between DQI-I, DDS, and preeclampsia.
METHODS: This study utilized a case-control design. A total of 90 newly diagnosed preeclampsia cases and 90 healthy controls were included from a referral hospital in Tabriz, Iran. DQI-I and DDS were calculated based on information obtained from a reliable Food Frequency Questionnaire consisting of 168 food items, which assessed participants\' usual diet. Logistic regression analysis adjusted for age, body mass index, education, family history of preeclampsia, and total energy intake was used to estimate odds ratios (ORs).
RESULTS: The mean age and pre-pregnancy body mass index of the participants were: 27.14 ± 4.40 years and 26.09 ± 3.33 kg/m2, respectively. After adjusting for various confounders, we found significant inverse association between the risk of developing preeclampsia and both DQI-I and DDS. The highest quartile of DQI-I had a significantly lower risk of developing preeclampsia compared to the first quartile (OR = 0.02, 95% CI [0.005, 0.08]) (P < 0.001). Similarly, the highest quartile of DDS had a significantly lower risk of developing preeclampsia compared to the first quartile (OR = 0.09, 95% CI [0.03, 0.31]) (P = 0.001).
CONCLUSIONS: Our findings suggest that maintaining a high-quality and diverse diet is associated with a lower risk of preeclampsia. Further studies are needed to confirm these associations and explore potential causal relationships.

Food habits may influence a range of modifiable risk factors of cardiovascular diseases (CVDs) including dyslipidemia. This study was conducted to find whether healthy eating index (HEI) and dietary quality index-international (DQI-I) were associated with the risk of dyslipidemia among the Iranian adults in Shiraz.
In this study, 236 participants with the age of 20-50 years were recruited from Shiraz medical centers through random cluster sampling. The HEI-2015 and DQI-I scores were computed using dietary intakes based on a 168-item food frequency questionnaire (FFQ). Logistic regression was utilized to estimate the relation between HEI-2015 and DQI-I score and lipid profile.
Individuals in the greatest adherence to the HEI-2015 was associated with reduced odds ratio (OR) of total cholesterol (TC) and low-density lipoprotein (LDL) in the crude model (OR: 0.46 and OR: 0.30). This association was significant after adjustment for potential confounders (OR: 0.40 and OR: 0.31). Also, we observed significant association between DQI-I with TC and LDL in crude model (OR: 0.42 and OR: 0.45). In the adjusted model, participants in the last tertile of DQI-I were 55%, 58% and 57% less likely to have abnormal TC (OR: 0.45), LDL (OR: 0.42) and high-density lipoprotein (HDL) (OR: 0.43), compared those in the first tertile.
In conclusion, higher adherence to DQI-I score was related to lower LDL and total cholesterol and higher HDL levels. Furthermore, in participants with higher adherence of HEI-2015 score, LDL and total cholesterol level were lower.

BACKGROUND: In this study, we aimed to illustrate the association between the Healthy Eating Index (HEI) and Dietary Quality Index (DQI) with bone mineral density (BMD) among postmenopausal Iranian women with osteoporosis compared to the healthy control.
METHODS: In the current case-control study, 131 postmenopausal women with osteoporosis and 131 healthy postmenopausal women participated. Dual-energy X-ray absorptiometry was used to assess the lumbar vertebrae and femoral neck BMD. The subjects completed a validated food frequency questionnaire (FFQ), and then HEI and DQI were calculated based on the FFQ data. Crude and adjusted multivariable logistic regression was used to assess the relation between HEI and DQI with the odds of the femoral and lumbar BMD.
RESULTS: According to the results, participants in the last tertile of HEI were more likely to have higher femoral and lumbar BMD in the crude model (odds ratio (OR) = 0.38; 95% confidence interval (CI): 0.20-0.71 and OR = 0.20; 95% CI: 0.10-0.40, respectively) and also in the adjusted model (OR = 0.40; 95% CI: 0.20-0.78 and OR = 0.20; 95% CI: 0.10-0.41, respectively). Also, in terms of DQI-I, participants in the last tertile were more likely to have higher femoral and lumbar BMD in the crude model (OR = 0.23; 95% CI: 0.12-0.45 and OR = 0.29; 95% CI: 0.15-0.55, respectively) and also in the adjusted model (OR = 0.29; 95% CI: 0.14-0.58 and OR = 0.34; 95% CI: 0.17-0.67, respectively).
CONCLUSIONS: The results of the current study supported the hypothesis that high-quality diets with healthy patterns can be clinically effective in maintaining bone health. Thus, recommendations regarding the consumption of nutrient-rich food groups in a healthy diet can serve as a practical non-pharmacological strategy against osteoporosis.

Numerous dietary quality indices exist to help quantify overall dietary intake and behaviors associated with positive health outcomes. Most indices focus solely on biomedical factors and nutrient or food intake, and exclude the influence of important social and environmental factors associated with dietary intake. Using the Diet Quality Index- International as one sample index to illustrate our proposed holistic conceptual framework, this critical review seeks to elucidate potential adaptations to dietary quality assessment by considering-in parallel-biomedical, environmental, and social factors. Considering these factors would add context to dietary quality assessment, influencing post-assessment recommendations for use across various populations and circumstances. Additionally, individual and population-level evidence-based practices could be informed by contextual social and environmental factors that influence dietary quality to provide more relevant, reasonable, and beneficial nutritional recommendations.

Background: Dietary patterns and diet quality index (DQI) are widely discussed in relation with different health conditions and have recently been taken into consideration for all cancer types. Since chronic inflammation has been recognized as an important biologic risk factor for cancer occurrence, especially in epithelial tissues, proinflammatory or anti-inflammatory characteristics of diet has become the center of attention. In the present study, we aimed to identify whether a specific dietary pattern, Mediterranean dietary score (MDs), and dietary inflammatory index (DII) were associated with overall cancer risk in Iranian population. Methods: This study was performed in the context of the Golestan cohort study. Participants with extreme daily energy intake or those who did not answer more than 30 question of the Food Frequency questionnaire (FFQ) were excluded. Dietary patterns, MDs, and DII were measured from FFQ. Age, sex, total energy, place of residence, smoking, wealth score, ethnicity, opiate use, BMI, education, marital status, and physical activity score were considered as confounding variables. Using Cox proportional hazards regression models, hazard ratios (HRs) and 95% confidence interval of cancer were estimated. Results: HRs (95% CIs) of all cancers by quartiles of Western dietary pattern, DII, and MDs showed that the forth quartile of the Western dietary pattern is attributed to 23% higher cancer risk (HRs: 1.23, CI: 1.09-1.40, P< 0.001, adjusted for age and sex) compared to the first quartile. It also remained significant after further adjustments (HRs = 1.20, CI: 1.06-1.36, P< 0.001). There was a higher cancer risk in the fourth quartile of DII in comparison with the first quartile (HRs = 1.16, CI: 1.01-1.32, P trend < 0.001, adjusted for age and sex). The lower adherence to the Mediterranean dietary pattern also largely contributes to 27% higher cancer risk (HRs: 1.27, CI: 1.12-1.44), P trend < 0.001, adjusted for age and sex), which also remained remarkable after further adjustments ((HRs =1.19, CI: 1.05-1.35, P trend < 0.001). Conclusion: Cancer is highly correlated to dietary intake and dietary patterns, such as the Western dietary pattern, while the Mediterranean diet score was inversely associated with cancer risk. Further investigations are required to get a broader insight into cancer determinants in population.

OBJECTIVE: The lung cancer incidence in Iran has increased almost ten times over the past three decades. In addition to the known causes such as smoking and certain occupational exposure, dietary quality has been suggested to play a role in lung cancer. We aim to explore the association between dietary pattern and lung cancer risk among a Middle East population.
METHODS: Data came from Golestan Cohort Study which included 48,421 participants with 136 lung cancer cases diagnosed during a median follow-up of 12 years. Multivariable Cox proportional hazards regression models were used to calculate the HRs and 95% CI of lung cancer risk by tertile of the four dietary index scores-the Health Eating Index (HEI)-2015, the Alternative Health Eating Index (AHEI)-2010, the Alternative Mediterranean Diet (AMED), and the Dietary Approach to Stop Hypertension (DASH)-Fung.
RESULTS: A higher DASH-Fung score was inversely associated with risk of lung cancer after adjusting for potential confounders (tertile three vs. tertile one: HR = 0.59 (0.38-0.93); p for trend = 0.07), and pinteraction with smoking was 0.46. Similar findings were observed among current smokers with the HEI-2015 score (tertile three vs. tertile one: HR = 0.22 (0.08-0.60): p for trend < 0.01), and pinteraction between smoking and the HEI-2015 score was 0.03.
CONCLUSIONS: In the GCS, consuming a diet more closely aligned with the DASH diet was associated with a reduced risk of lung cancer, which appeared to be independent of smoking status. There was also an inverse link between the HEI-2015 score and lung cancer risk among current smokers. Our finding is particularly important for the Middle East population, as diet may play an important role in cancer prevention and overall health.

The aim of this study was to assess the dietary pattern (i.e., Mediterranean Diet (MedDiet) and healthy eating) in people with type 2 diabetes (T2D) compared with those without diabetes. In addition, we explored clinical factors associated with the dietary pattern. This cross-sectional study was performed with a sample of 476 participants (238 with T2D and 238 participants without diabetes, matched for age and sex). The alternate Mediterranean Diet (aMED) score and the alternate Healthy Eating Index (aHEI) were calculated. Statistical analysis included comparison between groups and multivariable models. Participants with T2D showed higher aMED and aHEI scores (mean (SD): 4.3 (1.5) and 43.9 (6.5), respectively) in comparison with the control group (3.5 (1.8) and 39.4 (7.4), respectively; p < 0.001). In addition, a higher proportion of participants with T2D in higher tertiles of aMED (21.8%) and aHEI (39.9%) was observed compared with participants without diabetes (11.3% for the aMED, and 19.3% for the aHEI; p < 0.001). The adjusted multivariable analysis revealed that T2D (p < 0.001), increasing age (p = 0.006 and p = 0.030, respectively), and physical activity (p = 0.009) were positively associated with higher aMED and aHEI scores. Dyslipidemia and female gender were positively associated with aMED and aHEI (p = 0.031 and p < 0.001, respectively). The specific multivariable analysis for the group with T2D yielded a positive association of age (p < 0.001) and dyslipidemia (p = 0.021) with aMED. Regarding the aHEI, only female gender was positively related with this score in diabetes participants (p = 0.025). Participants with T2D showed a higher adherence to the MedDiet and a healthier eating pattern.

There are no studies on the relationships of dietary quality indices to the clustering of cardiometabolic risk factors in children. We therefore investigated the associations of four dietary quality indices with cardiometabolic risk score and cardiometabolic risk factors in Finnish children.
Subjects were a population sample of 204 boys and 198 girls aged 6-8 years. We assessed diet by 4-day food records and calculated Dietary Approaches to Stop Hypertension (DASH) Score, Baltic Sea Diet Score (BSDS), Mediterranean Diet Score (MDS), and Finnish Children Healthy Eating Index (FCHEI). We calculated the age- and sex-adjusted cardiometabolic risk score summing up Z-scores for waist circumference, mean of systolic and diastolic blood pressure and concentrations of fasting serum insulin and fasting plasma glucose, triglycerides and HDL cholesterol, the last multiplying by -1. Higher FCHEI was associated with lower cardiometabolic risk score among boys (standardised regression coefficient β = -0.14, P = 0.044) adjusted for age, physical activity, electronic media time and household income. Higher DASH Score was related to a lower serum insulin in boys (β = -0.15, P = 0.028). Higher DASH Score (β = -0.16, P = 0.023) and FCHEI (β = -0.17, P = 0.014) were related to lower triglyceride concentration in boys. Higher FCHEI was associated with lower triglyceride concentration in girls (β = -0.16, P = 0.033). Higher DASH Score (β = -0.19, P = 0.011) and BSDS (β = -0.23, P = 0.001) were associated with lower plasma HDL cholesterol concentration in girls.
Higher FCHEI was associated with lower cardiometabolic risk among boys, whereas DASH Score, BSDS or MDS were not associated with cardiometabolic risk in children.