Global Thyroid Cancer Burden Attributable to High BMI 1990-2021

Encompassing estimates of the global burden of thyroid cancer attributable to high body mass index (BMI) from 1990 to 2021. It was created by Dan Pan using data from the Global Burden of Disease Study 2021, analyzing metrics like deaths, disability-adjusted life years (DALYs), and age-standardized rates (ASRs).

Use Cases

• Analyze temporal trends in age-standardized rates (ASRs) using estimated annual percentage change (EAPC) and joinpoint regression.
• Assess global inequality in thyroid cancer burden attributable to high BMI using slope and concentration indices.
• Project future burden through 2036 using Bayesian age-period-cohort modeling on deaths and DALYs data.
• Examine the relationship between high BMI and thyroid cancer risk by evaluating disability-adjusted life years (DALYs) across regions.

Strengths

• Data spans a 32-year time range from 1990 to 2021.
• Derived from the authoritative Global Burden of Disease Study 2021.
• Includes multiple burden metrics: deaths, DALYs, and age-standardized rates (ASRs).

Limitations

• The dataset is very small at 12.3 KB, indicating limited scope and likely aggregated summary statistics.
• No column-level details or sample data are available to assess granularity or structure.
• Projections for future burden (to 2036) are model-based estimates, not observed data.

Provenance

Source

Global Burden of Disease Study 2021.

Collection Method

Analysis of GBD data using estimated annual percentage change (EAPC), joinpoint regression, and Bayesian age-period-cohort modeling.

Time Range

1990 to 2021, with projections to 2036.

Freshness

Last updated on March 20, 2026.

Geography

Global.