Background Colorectal cancer (CRC) is the fourth and third most common cancer in Iran and the world, respectively. Carbohydrates can lead to the proliferation of cancer cells, including CRC. The current study aimed to investigate the association between glycemic load (GL), insulin load (IL), glycemic index (GI), insulin index (II), low-carbohydrate diet score (LCDS), and carbohydrate quality index (CQI) with CRC odds. Methods The present case-control study was performed on 71 CRC cases and 142 controls in the Hospital Cancer Organization and three general hospitals in Tehran, Iran. We calculated the dietary GI, GL, IL, II, CQI, and LCDS by a validated food frequency questionnaire. Results The results indicated that people who were in the highest tertile of the GI had higher odds of CRC compared to the lower tertile (in the adjusted model: odds ratio (OR) = 3.89; 95% confidence interval (CI): 1.71–8.84). On the contrary, people who were in the highest tertile of the CQI and LCDS had significantly lower odds of CRC compared to the lower tertile (in the adjusted model: tertile (T) 2-OR = 0.24; 95% CI: 0.11–0.53 and T3-OR = 0.15; 95% CI: 0.06–0.39 for CQI and T2-OR = 0.33; 95% CI: 0.13–0.79 and T3-OR = 0.28; 95% CI: 0.10–0.82 for LCDS). Also, IL was positively associated with the odds of CRC after adjusting for confounding factors (T2-OR = 2.46; CI: 1.08–5.61 and T3- OR = 2.80; 95% CI: 1.07–7.31). Regarding the GL, only individuals who were in the second tertile had significantly higher odds of CRC compared to the first tertile (OR = 2.42; CI: 1.07–5.47). Conclusion According to the findings, it is recommended to use a diet with high-quality carbohydrates and low GI and GL to minimize the odds of developing CRC. People should also be encouraged to have a balanced carbohydrate intake.

The purpose of this cross-sectional study was to examine the association between ultra-processed foods (UPFs) intake and lipid profile in Iranian people. The study was performed on 236 individuals with the age range of 20–50 years in Shiraz, Iran. Food intakes of the participants were evaluated using a 168-item food frequency questionnaire (FFQ) which was previously validated in Iranian populations. In order to estimate the ultra-processed foods intake, classification of NOVA food group was used. Serum lipids including total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C) were measured. The results showed that mean of age and body mass index (BMI) of the participants were 45.98 years and 28.28 kg/m2, respectively. Logistic regression was used to evaluation the relation between UPFs intake and lipid profile. Higher UPFs intake was associated with increased OR of TG and HDL abnormality in both crude (OR 3.41; 95% CI 1.58, 7.34; P-trend = 0.001 and OR 2.99; 95% CI 1.31, 6.82; P-trend = 0.010) and adjusted models (OR 3.69; 95% CI 1.67, 8.16; P-trend = 0.001 and OR 3.38 95% CI 1.42, 8.07; P-trend = 0.009). But, there were no association between UPFs intake and other indices of lipid profile. Also, we found significant associations between UPFs intake and dietary nutrient profiles. In conclusion, UPFs consumption could worsen the nutritional profile of the diet and lead to negative changes in some indices of the lipid profile.

Background Carbohydrates are the primary energy source in Asian countries, including Iran. An emerging method can be used to measure the quality of carbohydrates, including the carbohydrate quality index (CQI), which includes a variety of components. Low-carbohydrate diet score (LCDS) has been proposed as a new method of scoring micronutrient intake that could provide a reasonable explanation for the link between diet and the risk of chronic diseases. Objective This study aimed to investigate the relationship between CQI, LCDS, glycemic index (GI), glycemic load (GL), insulin load (IL), and insulin index (II) with bone mass density (BMD) in postmenopausal women. Method In this case–control study, 131 postmenopausal women with osteoporosis/osteopenia and 131 healthy postmenopausal women aged 45–65 participated. The dual-energy X-ray absorptiometry (DEXA) method measured the BMD of the lumbar vertebrae and femoral neck. A validated semi-quantitative food frequency questionnaire was used to assess dietary intake. Logistic regression were used to evaluate the relation between GI, GL, II, IL, CQI, and LCDS with BMD. Results Diets with higher GI increased the risk of osteopenia and osteoporosis, but LCDS and CQI decreased the risk of osteopenia and osteoporosis. Conclusion These findings suggest that a higher intake of fruits and vegetables and receiving various dietary vitamins, minerals, and antioxidant compounds may be a useful way to prevent osteopenia in Iranian women.

Introduction. Former research studies have demonstrated controversial associations between dietary indices and oxidative stress biomarkers including oxidized low-density lipoprotein (ox-LDL) and malondialdehyde (MDA). So, in this cross-sectional study, we aimed to assess the association of dietary total antioxidant capacity (DTAC), oxidative balance score, and phytochemical index (PI) with ox-LDL/MDA in a healthy adult population of Shiraz, Iran. Methods. 236 individuals participated in this cross-sectional study. DTAC, OBS, and PI were calculated using a 168-item food frequency questionnaire (FFQ), which was previously validated in Iran. We measured ox-LDL and MDA in blood samples of the participants using commercially existing kits. Crude and adjusted models of linear regression were used to evaluate the relation of dietary indices with ox-LDL and MDA. Results. There was a significant association between ox-LDL and DTAC in both crude (β = −1.55; 95% CI: −2.53, −0.58; P-trend = 0.002) and adjusted (β = −1.65 95% CI: −2.66, −0.64; P-trend = 0.001) models. Also, a negative association was observed between ox-LDL and PI in the crude (β = −1.26 95% CI: −2.33, −0.29; P-trend = 0.01) and adjusted (β = −1.36 95% CI: −2.38, −0.34; P-trend = 0.01) models. Conclusion. Results of this study showed that DTAC and PI were inversely associated with ox-LDL as markers of lipid peroxidation. But no correlations were seen between MDA and dietary antioxidant indices.

Background: Today, food insecurity is recognized as an important public health problem that can have detrimental effects on families. Aim: The aim of this study was to assess the determinants and consequences of food insecurity in families having children under the age of 2 years. Method: In this cross-sectional study, 307 mothers and their children under the age of 2 years were selected by stratified random sampling. Demographic and socioeconomic data were collected by completing questionnaires through face-to-face interview. Household food insecurity (HFI) status was determined using the United States Department of Agriculture (USDA) household food security questionnaire. Results: Based on the results, 67.4% of families were high food secure. Low and very low food security was 25.7% and 6.9%, respectively. House size (Beta = −0.019, 95% CI: −0.029, −0.009), father's job (Beta = −4.758, 95% CI:−6.777, −2.738), father education (Beta = −0.370, 95% CI: −0.717, −0.023), and economic status (Beta = −0.628, 95% CI: −0.809, −0.448) were significantly related to the USDA total food insecurity score ( p < 0.05). Regression analysis showed that children birth weight, father’s body mass index (BMI), and mother's waist circumference had a significant positive correlation with weight for age (Z-score) of children. Children’s birth weight, father’s BMI, and HFI status had significant and positive correlation with weight for length (Z-score). Moreover, the significant association between children’s birth height, mother’s BMI, and mother's waist circumference with length for age (Z-score) were observed ( p < 0.05). Conclusion: We found the father's job was the most effective factor in food insecurity and economic status of the family was in the second place. Also, HFI had a relationship with weight status of children under the age of 2 years.