Association Between Cardiovascular Risk Factors and 25(OH)D Levels in Obese Patients

Background: Obesity is associated with lower levels of 25-hydroxyvitamin D [25(OH)D] and higher cardiovascular risk related to metabolic syndrome (MetS). Our purpose was to investigate if there is an association between levels of 25(OH)D and the components of MetS in an obese sample. Methods: This cross-sectional study enrolled obese patients referred for bariatric surgery in a specialized clinic. Secondary data were gathered as follows: glycemic and lipid profiles, 25(OH)D, anthropometric parameters, and clinical and sociodemographic information. The results were presented as means (standard deviations) or medians and interquartile intervals or absolute and relative frequencies. The patients were divided into three groups based on 25(OH)D terciles for analysis and were compared using ANOVA, Kruskal-Wallis or chi-squared tests. The correlations were calculated by Spearman's or Pearson's correlation tests. Results: We studied 299 patients, with the majority being women (74.9%). The patients' average (SD) age and 25(OH)D level were 36 (9) years and 25.8 (7.5) ng/mL, respectively. There was no association between vitamin D and MetS or its components. A progressive decrease in total cholesterol, low-density lipoprotein cholesterol (LDL-c), and nonhigh-density lipoprotein cholesterol (HDL-c) was observed as the serum vitamin D level increased, although only the latter reached statistical significance (P = 0.033). The correlation analysis showed a negative linear association between 25(OH)D and total cholesterol (r = -0.157; P = 0.047), 25(OH)D and LDL-c (r = -0.164; P = 0.038), and 25(OH)D and non-HDL-c (r = -0.176; P = 0.026). Conclusions: There was a negative correlation between 25(OH)D levels and the atherogenic profile but none with the MetS.

A Nutritional Strategy Based on Multiple Components for Glycemic Control in Type 2 Diabetes: A Multicenter Randomized Controlled Clinical Trial

BACKGROUND/OBJECTIVES

The optimal dietary approach for managing glycemic and metabolic control in type 2 diabetes (T2D) is still uncertain, though it should be tailored for clinical settings. Therefore, we sought to assess the impact of a multicomponent nutritional strategy on glycemic control in T2D patients within a public health system.

METHODS

NUGLIC was an open-label, parallel-group, superiority, multicenter randomized controlled trial. Participants aged 30 and older with poorly controlled T2D were randomly assigned to either (1) a personalized dietary prescription (control group, n = 185) or (2) a strategy involving targeted nutritional advising, mindfulness techniques, and short message services (NUGLIC [intervention] group, n = 186). The primary outcomes were glycated hemoglobin (HbA1c, %) measured after 24 weeks and glycemic control, defined as having an HbA1c > 7% at baseline and achieving ≤7% after follow-up, or having HbA1c ≤ 7% at baseline and reducing the use of glucose-lowering medications post-follow-up. The secondary outcomes included cardiometabolic features, self-care practices, diet quality, and quality of life.

RESULTS

A total of 371 participants were included in an intention-to-treat analysis for the primary outcomes. At six months, both groups exhibited a reduction in HbA1c levels compared to the baseline (NUGLIC group: -0.6% [95% confidence interval (CI) -0.9; -0.3], p < 0.001; control group: -0.5% [95% CI -0.7; -0.3], p < 0.001). However, no significant differences were observed between the groups in terms of HbA1c after follow-up (intervention group: 8.1%; control group: 8.3%; difference: -0.2% [95% CI -0.5; 0.1], p = 0.30) or glycemic control (NUGLIC group: 19.9%; control group: 18.9%; odds ratio 0.96 [95% CI 0.56; 1.67], p = 0.89). While the control group showed an improvement in overall diet quality, no significant differences emerged between the groups by the end of this study (p = 0.13). There were also no significant differences in other secondary outcomes nor in the use of glucose-lowering medications and adverse events after follow-up.

CONCLUSIONS

The multicomponent nutritional strategy did not demonstrate superiority over personalized dietary prescriptions in achieving glycemic control for participants with poorly managed T2D. In this sense, both nutritional interventions could be used in clinical practice to improve HbA1c levels, considering the profile and preferences of individuals.