Development and validation of a predictive model for incident type 2 diabetes in middle-aged Mexican adults: the metabolic syndrome cohort.

BACKGROUND: Type 2 diabetes mellitus (T2D) is a leading cause of morbidity and mortality in Mexico. Here, we aimed to report incidence rates (IR) of type 2 diabetes in middle-aged apparently-healthy Mexican adults, identify risk factors associated to ID and develop a predictive model for ID in a high-risk population. METHODS: Prospective 3-year observational cohort, comprised of apparently-healthy adults from urban settings of central Mexico in whom demographic, anthropometric and biochemical data was collected. We evaluated risk factors for ID using Cox proportional hazard regression and developed predictive models for ID. RESULTS: We included 7636 participants of whom 6144 completed follow-up. We observed 331 ID cases (IR: 21.9 per 1000 person-years, 95%CI 21.37-22.47). Risk factors for ID included family history of diabetes, age, abdominal obesity, waist-height ratio, impaired fasting glucose (IFG), HOMA2-IR and metabolic syndrome. Early-onset ID was also high (IR 14.77 per 1000 person-years, 95%CI 14.21-15.35), and risk factors included HOMA-IR and IFG. Our ID predictive model included age, hypertriglyceridemia, IFG, hypertension and abdominal obesity as predictors (Dxy = 0.487, c-statistic = 0.741) and had higher predictive accuracy compared to FINDRISC and Cambridge risk scores. CONCLUSIONS: ID in apparently healthy middle-aged Mexican adults is currently at an alarming rate. The constructed models can be implemented to predict diabetes risk and represent the largest prospective effort for the study metabolic diseases in Latin-American population.

Maintenance of Self-Care Activities During COVID-19 Lockdown in Patients with Type 2 Diabetes That Received a Comprehensive Care Program Training.

Introduction: In 2020, several countries established a global emergency state. Lockdowns restricted people's lifestyles and daily activities to prevent coronavirus spread. These measures hindered diabetes mellitus control and lifestyle changes. This study aims to evaluate if attending a multidisciplinary program before the pandemic helped maintain a good metabolic state, lifestyle modifications, and mental health in patients with diabetes mellitus during the COVID-19 lockdown. Methods: Patients included in this study attended a multidisciplinary program, with <5 years of diagnosis of type 2 diabetes, without disabling complications, between 18-70 years old. The complete lockdown occurred from February 27, 2020, to May 31, 2020. The first patient (non-COVID) to return to the center for face-to-face consultation was in March 2021. Consultations in 2019 were face-to-face and changed to a virtual modality during 2020. We analyzed metabolic, lifestyle, mental health, and diabetes education parameters. Results: A total of 133 patients with type 2 diabetes mellitus were included with complete information in visits before and during the lockdown. Metabolic parameters and self-care measures (nutrition plan, foot evaluation, and self-glucose monitoring) evaluated on our patients had no change during the lockdown. We found a significant increase in the time patients spent sitting during the day (p<0.05). Barriers to exercise increased during lockdown, being joint pain (3.8% to 12.0%, p<0.01) and lack of time to exercise (4.5% to 7.5%, p=0.33) being the most common. There was no significant difference in symptoms of anxiety and depression, quality of life, and empowerment. Conclusion: A multidisciplinary diabetes mellitus program, including diabetes education for self-care activities, positively impacts patients, maintaining good outcomes despite lockdown difficulties.

Prediction of incident hypertension and arterial stiffness using the non-insulin-based metabolic score for insulin resistance (METS-IR) index.

Hypertension is associated with insulin resistance (IR), metabolic syndrome (MS), and arterial stiffness. Non-insulin-based IR indexes were developed as tools for metabolic screening. Here, we aimed to evaluate the novel non-insulin-based Metabolic Score for IR (METS-IR) index for the prediction of incident hypertension and arterial stiffness evaluated using pulse wave velocity (PWV) analysis, compared with other non-insulin-based IR indexes. We evaluated two populations, a cross-sectional evaluation of high-risk individuals (n = 305) with a wide range of metabolic comorbidities and dyslipidemia in whom PWV measurement was performed and a 3-year prospective cohort of normotensive individuals (N = 6850). We observed a positive correlation between METS-IR and PWV in the cross-sectional cohort, which was higher compared with other non-insulin-based fasting IR indexes; furthermore, PWV values >75th percentile were associated with the upper tercile of METS-IR values. In the prospective cohort, we observed an increased risk for incident hypertension for the upper METS-IR tercile (METS-IR ≥ 46.42; HR: 1.81, 95% CI: 1.41-2.34), adjusted for known cardiovascular risk factors, and observed that METS-IR had greater increases in the predictive capacity for hypertension along with SBP and the Framingham Hypertension Risk Prediction Model compared with other non-insulin-based IR indexes. Therefore, METS-IR is a novel non-insulin-based IR index which correlates with arterial stiffness and is a predictor of incident hypertension, complementary to previously validated risk prediction models.

Setting the Lipid Component of the Diet: A Work in Process.

Some of the most relevant yet controversial issues in nutrition are those surrounding the guidelines on quality and quantity of dietary fat in the prevention and treatment of cardiovascular diseases and coronary heart diseases. Conflicting evidence questions the credibility of the previous dietary guidelines, particularly the quality of the evidence on which these recommendations were based. It is therefore important to explore the changes that have occurred in these guidelines and their influence on the adoption of different dietary patterns over time. In this review, we summarize the evolution of the fat component of the dietary guidelines, discuss controversial aspects, and highlight the areas in which additional evidence is still needed. Over the years, the scientific community has shown an obsession for calories in a diet instead of focusing on the quality of the food that makes up the diet. This is why certain authors have identified the importance of evaluating a diet focusing on diet patterns, rather than single isolated nutrients. This approach has been proposed in the most recent Dietary Guidelines for Americans.