Carbohydrate quality indices and colorectal cancer risk: a case-control study.

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.

Association between plant and animal proteins intake with lipid profile and anthropometric indices: A cross-sectional study.

BACKGROUND: Results of studies on the effects of plant and animal proteins on lipid profile are controversial. So we aimed to assess the relationship between plant and animal protein intake with lipid profile and novel anthropometric indices in healthy individuals. METHOD: In this cross-sectional study, 236 participants have selected from Shiraz medical centers (Iran) through random cluster sampling. Food intakes were assessed using a 168-items food frequency questionnaire (FFQ). Total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglyceride (TG) were measured. Anthropometric indices including a body shape index (ABSI), abdominal volume index (AVI), buddy roundness index (BRI), and conicity index (CI) were calculated. RESULTS: In the crude and fully adjusted models, more consumption of plant proteins was associated with TG levels (OR = 2.31; 95% CI: 1.08, 4.95; P = 0.03 and OR = 2.39; 95% CI: 1.03, 5.15; P = 0.04). Also, there was a significant direct association between plant proteins and BRI in the curd model (OR = 3.55; 95% CI: 1.32, 9.54; P = 0.01), and after adjusting for age and energy intake (OR = 3.32; 95% CI: 1.21, 9.14; P = 0.01). More consumption of plant proteins was related to higher CI in the crude model (OR = 3.06; 95% CI: 1.12, 8.31; P = 0.03), but not in the fully adjusted model. CONCLUSION: We found that a higher intake of plant proteins was associated with a higher TG level, BRI, and CI index. However, more research is needed to confirm these relations and provide the evidence needed to exert these findings into clinical practice.

Healthy beverage index could decrease odds of metabolic syndrome: A cross-sectional study.

Some studies indicated that sugar-sweetened beverages (SSBs) were related to MetS risk, and others found no relationship between MetS and SSBs. Therefore, the present study aimed to investigate the relationship between healthy beverage index (HBI) and MetS in Iranian adults. This cross-sectional study was performed on baseline data FASA cohort. Out of 10,127 participants in the FASA cohort study, 8838 participants were included in this study. The National Cholesterol Education Program's Adult Treatment Panel (ATP) III was used for MetS definition. The HBI was calculated by a 125-item food frequency questionnaire with standard criteria. The association between HBI and MetS and its components was evaluated by univariate regression. Multivariate regression with the backward method was used for adjusting confounders. p < .05 was considered as statistically significant. Compared to the first quartile, it was observed that HBI in the last quartile was significantly related to lower odds of MetS in the multivariate analysis (odds ratio [OR] = 0.72; 95% confidence interval [CI]: 0.60-0.87, p < .001). Also, we observed a significant association between the last quartile of HBI with lower odds of high waist circumference (WC) (OR = 0.55; 95% CI: 0.45-0.67, p < .002). Our findings showed that the higher HBI score reduced MetS odds and WC. Therefore, to reduce the odds of MetS, a healthy pattern of beverage consumption, including drinking water, low-fat milk, unsweetened tea, and coffee, and reducing the consumption of SSB are recommended. More studies are needed to confirm the findings.