Japanese Diabetes Patient Medical Expenditure by BMI Category, 2008-2009

Yuki Yonekura's dataset contains participant characteristics by BMI categories for a study on obesity and medical expenditures among Japanese diabetes patients. The data originates from 12 municipal and six union insurers for fiscal years 2008 and 2009. It is a 9.5 KB XLS file, last updated on 2026-05-19.

Use Cases

• Modeling the association between BMI categories and annual medical expenditures based on the study's findings.
• Comparing outpatient and inpatient expenditure patterns between normal/underweight, overweight, and obese patients.
• Assessing the likelihood of high-cost medical events (exceeding ¥1 million) among female patients with obesity.
• Investigating sex-specific differences in healthcare costs for diabetes management.

Strengths

• Data is sourced from 18 insurers (12 municipal and 6 union), providing a multi-source perspective.
• Analyses are stratified by sex and adjust for multiple covariates including age, hypertension, and smoking.
• The dataset supports the study's use of gamma regression and quantile regression for expenditure analysis.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 9.5 KB file size indicates a very limited scope, likely containing summary or aggregated data.

Provenance

Source

Yuki Yonekura via figshare.

Collection Method

Data on medical expenditures and Specific Health Checkups obtained from insurers.

Time Range

Fiscal years 2008 and 2009.

Freshness

Last updated 2026-05-19 17:24:52; freshness should be verified.

Geography

Japan.