Daily Steps and Metabolic Indicators in PCOS Patients, 319 Participants

167 women with Polycystic Ovary Syndrome and 152 without were studied to examine the impact of daily step counts on metabolic health. The dataset includes anthropometric parameters, metabolic indicators, and sex hormones for participants aged 16–40 years. Author Tianmei Wang published the findings on figshare in April 2026 under a CC-BY-4.0 license.

Use Cases

• Modeling the relationship between daily step count and lipid profiles (TG, HDL) in non-obese PCOS patients.
• Analyzing associations between physical activity and body fat distribution metrics (BFP, Android/Gynoid ratio).
• Investigating differences in physical activity levels (sedentary vs. active) between PCOS and control groups.
• Developing simple intervention strategies for PCOS management based on step count correlations.

Strengths

• Includes a control group of 152 women without PCOS for comparison.
• Contains multiple clinical indicators: anthropometric, metabolic, and sex hormone data.
• Analysis includes specific R-squared values (e.g., 0.671 for FMI) and p-values for relationships.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 21.7 KB, indicating limited scope.

Provenance

Source

Tianmei Wang via figshare.

Collection Method

Clinical study collecting anthropometric parameters, metabolic indicators, sex hormones, and daily steps.

Time Range

Study period not specified; data reflects a single time point per participant.

Freshness

Last updated 2026-04-16 04:19:32; freshness should be verified.

Geography

Geographic coverage of participants is not specified.