Dataset for Cardiovascular Disease Risk Assessment in Older Adults with Sarcopenia Based on the Framingham Risk Score

Data collection consists of four major modules. First, general demographic and behavioral data were collected from enrolled subjects via questionnaires by uniformly trained medical staff. The collected information included name, gender, age, smoking history (current or former smokers), as well as history of hypertension and diabetes, and use of antihypertensive medications.

Second, anthropometric measurements were performed by trained investigators who passed consistency assessment. Height and weight were measured using a standard stadiometer and electronic scale, accurate to 0.1 cm and 0.1 kg respectively. Seated blood pressure of the right upper arm was measured with an electronic sphygmomanometer three times at 1-minute intervals, and the average value was taken as the final blood pressure.

Third, sarcopenia-related indicators: appendicular skeletal muscle mass (ASM) of all enrolled subjects was measured using a Hologic dual-energy X-ray absorptiometry scanner, and handgrip strength was tested with a JAMAR dynamometer. The diagnosis of sarcopenia strictly followed the AWGS criteria. Fourth, laboratory biochemical indicators: venous blood samples were collected early in the morning after an overnight fast of more than 8 hours.

Fasting blood glucose, triglycerides, total cholesterol, high-density lipoprotein cholesterol and low-density lipoprotein cholesterol were detected using a Hitachi 7180 automatic biochemical analyzer (Japan). Based on the Framingham Risk Score model, age, gender, lipid profiles, systolic blood pressure, antihypertensive treatment status, smoking history and diabetes history were integrated to calculate the 10-year probability of cardiovascular events for each subject, and subjects were stratified into low, intermediate and high cardiovascular risk groups.

Standard operating procedures were implemented for all on-site measurements and laboratory tests. Instruments were calibrated before detection, and internal quality control was performed for laboratory assays to ensure data reliability. The dataset is structured tabular data containing 202 subject records and 21 variable fields.

The main CSV file can be directly imported by statistical software including SPSS, R and Stata. Each row corresponds to one subject. Column variables cover demographic information, lifestyle, anthropometric measurements, sarcopenia assessment indicators, laboratory biochemical results, Framingham Risk Score and cardiovascular risk factors.

Units of measurement are standardized: age in years, height in cm, weight in kg, ASMI in kg/m², blood lipids and fasting blood glucose in mmol/L, and blood pressure in mmHg.