Physical Behavior and Cardio-Metabolic Profiles for 93 Older Adults

93 older adults aged 60-89 wore thigh-mounted accelerometers for seven days to measure engagement in sedentary behavior, standing, and physical activity. The dataset includes fasting blood measurements for glucose, triglycerides, cholesterol, HbA1c, LPL, IL-6, and PIIINP, analyzed via isotemporal substitution models. It was authored by Declan Ryan and last updated on 2026-05-28.

Use Cases

• Modeling the effect of replacing sedentary time with standing on total cholesterol based on isotemporal substitution results.
• Predicting triglyceride concentration changes from substituting moderate-to-vigorous physical activity for lighter activities.
• Analyzing associations between physical behavior intensities and inflammatory markers like interleukin-6 (IL-6).
• Investigating the relationship between bouted physical activity (10MVPA) and cardio-metabolic biomarkers.

Strengths

• Includes data from 93 participants with a defined age range of 60-89 years.
• Contains objectively measured physical behavior from thigh-mounted accelerometers over seven consecutive days.
• Measures seven distinct fasting blood biomarkers relevant to cardio-metabolic health.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The sample size of 93 participants may limit the generalizability of findings.

Provenance

Source

figshare, authored by Declan Ryan.

Collection Method

Accelerometer data collection and fasting blood biomarker measurement.

Time Range

Data collection period not specified in input.

Freshness

Last updated 2026-05-28 16:58:16; freshness should be verified.

Geography

Geographic coverage not specified in input.