Health Metrics from a Diabetes Feasibility Study with Three Time Points

Deniz Bozkurt's dataset contains health-related data from a feasibility study on type 2 diabetes and menopausal symptoms. The data is collected across three time points, with descriptive statistics presented as mean ± SD or median (IQR). It includes metrics related to HbA1c, psychosocial outcomes, and online peer support for participants from diverse backgrounds.

Use Cases

• Analyze trends in Reported HbA1c Decreased across the three study time points to assess intervention efficacy.
• Compare Psychosocial Outcomes and Menopausal Symptoms Declined between participant cohorts using Wilcoxon test results.
• Evaluate the relationship between Online Peer Support engagement and Diabetes Self-management metrics from the feasibility study.

Strengths

• Data is collected at three distinct time points, enabling longitudinal analysis of health metrics.
• Includes specific clinical and behavioral variables such as HbA1c, menopausal symptoms, and psychosocial outcomes.
• Released under a permissive CC BY 4.0 license, allowing for broad reuse and sharing.

Limitations

• The dataset is very small at 13.5 KB, indicating a limited sample size unsuitable for complex modeling.
• Column names and exact row counts are unknown, complicating initial data exploration and analysis.
• Tags suggest a specific focus on women's health and diabetes, which may limit generalizability to other populations.

Provenance

Source

Deniz Bozkurt via figshare

Collection Method

Collected as part of a feasibility study evaluating online peer support for type 2 diabetes management.

Time Range

Covers three time points during the study period.

Freshness

Last updated on March 23, 2026.

Geography

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