The Elderly-Nutrient Rich Food Score Is Associated With Biochemical Markers of Nutritional Status in European Older Adults

Path analysis model to identify the effect of poor diet quality on NAFLD among Iranian adults from Amol Cohort Study

Nonalcoholic fatty liver disease (NAFLD) is expanding as a global health problem with approximately 25% of the world's population affected by it. Dietary modification is one of the most important strategies for preventing NAFLD. The association between nutrient density and the Healthy Eating Index 2015 (HEI2015) with NAFLD demonstrates that nutrient density is an independent predictor of NAFLD in Iranian adults [fully adjusted model: OR (95% CI)tertile3vs.1: 0.68 (0.54-0.85), P for trend = 0.001]. However, a favorable association between NAFDL and diet quality (HEI 2015) is more pronounced in participants with abdominal obesity [fully adjusted model: OR (95% CI)tertile3vs.1: 0.63 (0.41-0.98), P for trend = 0.03]. Based on the gender-stratified path analysis, diet quality indirectly through Waist-to-Height Ratio (WHtR), C-reactive protein (CRP), and metabolic syndrome in women, and men through WHtR, hemoglobin A1c (HBA1c), CRP, and metabolic syndrome affects NAFLD. Nutrient density directly and indirectly in women through WHtR, CRP, and metabolic syndrome, and in men indirectly through WHtR, hemoglobin A1c, and metabolic syndrome negatively affect NAFLD. Hence, in these subjects; we can provide early dietary intervention and education to prevent progression to NAFLD.

Naturally nutrient rich (NNR) score and the risk of colorectal cancer: a case-control study

BACKGROUND

The association between colorectal cancer (CRC) and nutrients has been studied frequently. However, the association of nutrient density of diets with the risk of CRC has been less studied. This study aimed to investigate the association between CRC and naturally nutrient rich (NNR) score in Iranian adults.

METHOD

This case-control study included 160 patients with colorectal cancer and 320 controls aged 35-70 years in Tehran, Iran. Dietary intake was assessed using a 168-item food frequency questionnaire. The NNR score was obtained by calculating the average daily value of 14 nutrients including protein, vitamins A, C, D, E, B1, B2, B12, calcium, zinc, iron, folate, potassium and unsaturated fatty acids.

RESULTS

Regarding dietary intake of the components of NNR score, the case group had a lower intake of polyunsaturated fat (15.41±4.44 vs 16.54±4.20 g/day, p=0.01), vitamin E (10.15±4.16 vs 13.1±5.33; p=0.001), vitamin B1 (2±0.86 vs 2.19±0.84 mg/day, p=0.03) and folate (516.45±96.59 vs 571.05±80.31; p=0.001) and a higher intake of oleic acid (8.21±5.46 vs 5.59±3.17 g/day, p=0.01) compared with the control group. Colorectal cancer risk was inversely associated with the NNR score after adjusting for the confounders (OR 0.92; 95% CI 0.88 to 0.97; p=0.03).

CONCLUSION

Low NNR scores may be linked to CRC. If confirmed by future longitudinal research, this result may help prevent CRC by recommending nutrient-rich diets.

Association of diet quality indices with serum and metabolic biomarkers in participants of the ORISCAV-LUX-2 study

PURPOSE

Diet quality is a critical modifiable factor related to health, including the risk of cardiometabolic complications. Rather than assessing the intake of individual food items, it is more meaningful to examine overall dietary patterns. This study investigated the adherence to common dietary indices and their association with serum/metabolic parameters of disease risk.

METHODS

Dietary intakes of the general adult population (n = 1404, 25-79 years) were assessed by a validated food-frequency questionnaire (174 items). The French ANSES-Ciqual food composition database was used to compute nutrient intakes. Seven indicators were calculated to investigate participants' diet quality: the Alternative Healthy Eating Index (AHEI), Dietary Approaches to Stop Hypertension Score (DASH-S), Mediterranean Diet Score (MDS), Diet Quality Index-International (DQI-I), Dietary Inflammatory Index (DII), Dietary Antioxidant Index (DAI), and Naturally Nutrient-Rich Score (NNRS). Various serum/metabolic parameters were used in the validity and association analyses, including markers of inflammation, blood glucose, and blood lipid status.

RESULTS

Following linear regression models adjusted for confounders, the DASH-S was significantly associated with most metabolic parameters (14, e.g., inversely with blood pressure, triglycerides, urinary sodium, uric acid, and positively with serum vitamin D), followed by the DQI-I (13, e.g., total cholesterol, apo-A/B, uric acid, and blood pressure) and the AHEI (11, e.g., apo-A, uric acid, serum vitamin D, diastolic blood pressure and vascular age).

CONCLUSION

Food-group-based indices, including DASH-S, DQI-I, and AHEI, were good predictors for serum/metabolic parameters, while nutrient-based indices, such as the DAI or NNRS, were less related to biological markers and, thus, less suitable to reflect diet quality in a general population.

B Vitamins and Fatty Acids: What Do They Share with Small Vessel Disease-Related Dementia?

Many studies have been written on vitamin supplementation, fatty acid, and dementia, but results are still under debate, and no definite conclusion has yet been drawn. Nevertheless, a significant amount of lab evidence confirms that vitamins of the B group are tightly related to gene control for endothelium protection, act as antioxidants, play a co-enzymatic role in the most critical biochemical reactions inside the brain, and cooperate with many other elements, such as choline, for the synthesis of polyunsaturated phosphatidylcholine, through S-adenosyl-methionine (SAM) methyl donation. B-vitamins have anti-inflammatory properties and act in protective roles against neurodegenerative mechanisms, for example, through modulation of the glutamate currents and a reduction of the calcium currents. In addition, they also have extraordinary antioxidant properties. However, laboratory data are far from clinical practice. Many studies have tried to apply these results in everyday clinical activity, but results have been discouraging and far from a possible resolution of the associated mysteries, like those represented by Alzheimer's disease (AD) or small vessel disease dementia. Above all, two significant problems emerge from the research: No consensus exists on general diagnostic criteria-MCI or AD? Which diagnostic criteria should be applied for small vessel disease-related dementia? In addition, no general schema exists for determining a possible correct time of implementation to have effective results. Here we present an up-to-date review of the literature on such topics, shedding some light on the possible interaction of vitamins and phosphatidylcholine, and their role in brain metabolism and catabolism. Further studies should take into account all of these questions, with well-designed and world-homogeneous trials.