Diabetes Mexico

By ranjeetverma3084 · January 31, 2026

Data source:

I've generated a data table showing the proportion of high-risk diabetes patients across different cities. The table displays each city along with the total number of patients, the count of high-risk patients, and the percentage that represents high-risk cases.

The analysis shows how diabetes risk is distributed across the Mexican population sample of 2,549 individuals, broken down into three categories: Low Risk (0), Medium Risk (1), and High Risk (2). A pie chart visualization displays the proportions of each risk category, making it easy to see which risk level is most prevalent in the population.

I've analyzed the average BMI (IMC) across different diabetes risk categories for patients with available BMI data. The analysis includes a bar chart showing how average BMI varies by risk level, along with a detailed breakdown of the patient counts in each category.

I've analyzed the average triglyceride levels across different diabetes risk categories and gender groups. The analysis includes a grouped bar chart that compares triglyceride levels between males and females across low (0), medium (1), and high (2) diabetes risk categories.

The analysis shows average serum glucose levels across three diabetes risk categories. A bar chart visualization displays the glucose levels for Low Risk (0), Medium Risk (1), and High Risk (2) groups, with color coding to emphasize the differences between categories.

HbA1c values show a strong positive correlation with diabetes risk categories. The analysis reveals a Pearson correlation coefficient of 0.612, indicating that as diabetes risk increases from low to high, HbA1c levels rise correspondingly.

The analysis reveals distinct differences in diabetes risk categories between men (Hombre) and women (Mujer). Men have a slightly higher proportion in the high-risk category compared to women, with a 3.1 percentage point difference.

The analysis reveals clear differences in diabetes risk across socioeconomic strata. A grouped bar chart was created showing how risk levels (Low, Medium, and High) are distributed across three socioeconomic strata, with data from 2,549 individuals total.

The analysis reveals a clear positive relationship between age and diabetes risk category. Two visualizations were created to show this pattern: a box plot displaying age distributions across risk categories, and a stacked bar chart showing how risk levels vary by age group.

The analysis reveals clear differences in both total cholesterol (colest) and LDL cholesterol levels across diabetes risk categories. A comprehensive box plot visualization was created showing the distribution of both cholesterol types for Low Risk, Medium Risk, and High Risk groups. The visualization uses color coding (green for low risk, orange for medium risk, and red for high risk) to make the patterns easy to identify.

The analysis identified 38 patients with critically high glucose levels ( 300) requiring urgent intervention across multiple cities. Aguascalientes has the highest count with 2 patients showing an average glucose level of 324.5.

The analysis identified the top 10 cities with the highest number of diabetes cases based on clinical criteria (HbA1c ≥ 6.5 or fasting glucose ≥ 126 mg/dL). A visualization was created showing diabetes case counts for each city, color-coded by their average risk category levels.

Among 840 high-risk patients, 72 patients (8.6%) have elevated triglycerides, cholesterol, and glucose simultaneously. The analysis used clinical thresholds: triglycerides 150 mg/dL, cholesterol 200 mg/dL, and glucose 100 mg/dL.

The analysis shows how cholesterol and triglyceride levels vary across different cities compared to the overall population averages. A grouped bar chart was created displaying both metrics for each city, with reference lines showing the population-wide averages of 143.0 for cholesterol and 153.6 for triglycerides.

A comprehensive analysis of serum glucose levels across different estrato groups has been completed, with both a visualization and detailed data tables generated to identify priority groups for intervention.

The analysis of 2,520 individuals reveals a clear pattern: diabetes risk increases significantly with age. The youngest group (20-40 years) shows 82.8% low risk, while the oldest group (60+ years) has nearly half (48.1%) at high risk. A visualization has been created showing the distribution of risk levels across all three age groups.

The analysis reveals how diabetes risk varies across different combinations of sex and age groups. A grouped bar chart was created showing the percentage distribution of risk categories (Low, Medium, High) for each sex-age combination, with age groups ranging from 18-30 to 76+.

The analysis compared LDL cholesterol and triglyceride levels between low-risk and high-risk diabetes patients. High-risk patients (840 individuals) show notably elevated lipid levels compared to low-risk patients (1,697 individuals). Specifically, high-risk patients have mean LDL levels of 95.9 mg/dL versus 88.7 mg/dL in low-risk patients, and mean triglycerides of 183.4 mg/dL versus 139.1 mg/dL in low-risk patients.