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1.
J Diabetes Metab Disord ; 22(2): 1139-1143, 2023 Dec.
Article in English | MEDLINE | ID: mdl-37975105

ABSTRACT

Background: Many factors like sedentary lifestyle, metabolic syndrome, and obesity are involved in the increased prevalence of nonalcoholic fatty liver disease (NAFLD). Dietary consumption of carbohydrates may has a role in the risk of NAFLD. This study aimed to investigate the association of NAFLD with the different types of dietary carbohydrates. Methods: This cross-sectional study was carried out on 4200 participants including 660 patients with NAFLD and 3540 helathy individuals without NAFLD ages 35 to 70 in sabzevar, Iran. Data on socio-deomgraphic status, anthropomrtric measurments, blood tests, and dietary intake of different types of dietary carbohydrates was collected. Results: The patients with NAFLD had a significantly higher dietary intake of glucose (29.38 ± 18.29 vs. 27.42 ± 15.96 g/d, P = 0.01) and fructose (33.99 ± 20.19 vs. 31.95 ± 18.34 g/d, P = 0.01) compared to the healthy people. A positive association was observed between NAFLD with the total intake of carbohydrates after adjustment for age, sex, and BMI (OR: 1.001, CI 95%: 1-1.002, P = 0.04) The association remained significant after further adjustments for for education level, marital status, physical activity, smoking, and drinking alcohol (Model 2) and after additional adjustments for calorie intake (Model 3). Conclusions: This study showed a positive association between total dietary carbohydrate and NAFLD. In particular, the amount of dietary of carbohydrates (regardless of the type of carbohydrate) may worsen NAFLD. Further longitudinal studies are warranted.

2.
Food Sci Nutr ; 10(5): 1527-1536, 2022 May.
Article in English | MEDLINE | ID: mdl-35592289

ABSTRACT

The risk of colorectal cancer (CRC) can be influenced by dietary components. This study aims to investigate the association between dietary intake and CRC in Iranian adults. This hospital-based case-control study was performed on 160 patients with CRC and 320 healthy people. General and pathological data were collected through face-to-face interviews. A validated food frequency questionnaire (FFQ) was used to assess the intake of calories, macronutrients, and micronutrients. The case group had a significantly higher intake of calories, carbohydrates, vitamin A, vitamin K, fluoride, and molybdenum and a lower intake of vitamin E, vitamin B1, beta carotene, biotin, folate, magnesium, selenium, manganese, and fiber (all p < .001). CRC was positively associated with the intake of carbohydrate (OR: 1.01, CI% 1.03-1.01, p = .001), and vitamin A (OR: 1.009, CI 95% 1.006-1.01, p = .001) and negatively associated with intake of fiber (OR: 0.67, CI 95% 0.59-0.76, p = .001), beta carotene (OR: 0.99, CI 95% 0.99-0.99, p = .001), vitamin E (OR: 0.27, CI 95% 0.15-0.47, p = .001), folate (OR: 0.98 CI 95% 0.97-0.98, p = .001), and biotin (OR: 0.83, CI 95% 0.77-0.90, p = .001). The associations remained significant after adjusting for age and sex. Further adjustments for physical activity, alcohol consumption, and smoking did not change the results. The results identified that the risk of colorectal cancer can be influenced by dietary intake. Further longitudinal studies are needed to confirm these findings and to identify the underlying mechanisms of the effects of dietary components on the risk of colorectal cancer.

3.
Front Nutr ; 9: 811827, 2022.
Article in English | MEDLINE | ID: mdl-35399658

ABSTRACT

Background: The index of nutritional quality (INQ) is derived from the food frequency questionnaire (FFQ) and is a method of quantitative and qualitative analysis of diet. This study aimed to compare the INQ for different dietary components between breast cancer (BC) patients and healthy control. Methods: This case-control study was performed on 180 women with BC and 360 healthy women. Data on general characteristics, medical history, anthropometric indices, physical activity, alcohol consumption, reproductive history, smoking, and dietary intake were collected. A valid FFQ was used to assess the intake of nutrients and the INQ was calculated based on the daily intake of the nutrients. Results: There was a significant association between BC and INQ of vitamin A (OR = 0.07, 0.01-0.29), vitamin E (OR = 0.43, 0.20-0.93), vitamin B6 (OR = 0.003, 0.000-0.021), riboflavin (OR = 0.25, 0.11-0.59), vitamin K (OR = 0.58, 0.37-0.90), biotin (OR = 0.07, 0.02-0.26), vitamin B12 (OR = 0.32, 0.18-0.56), vitamin C (OR = 0.72, 0.55-0.95), zinc (OR = 0.020, 0.005-0.083), calcium (OR = 0.14, 0.04-0.54) and magnesium (OR = 0.003, 0.000-0.024). Further adjustment for BMI disappeared the association between INQ of vitamin C and BC. The results did not change after further adjustments for waist circumstance and total calorie intake. Conclusion: A significant association was observed between BC and the INQ of vitamin A, vitamin E, vitamin B6, riboflavin, vitamin K, biotin, vitamin B12, vitamin C, zinc, calcium, and magnesium. The INQ can be used as an indicator in assessing clinical nutrition-related problems. Future longitudinal studies are needed to confirm these results.

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