U.S. Mortality Trends for Chronic Kidney Disease with Depression, 1999–2023

11,076 deaths were attributed to chronic kidney disease with co-occurring depression from 1999 to 2023. This dataset contains age-adjusted mortality rates analyzed via joinpoint regression to identify trends stratified by sex, age, race, census region, and urban-rural residence. Authored by Pengcheng Zhao and shared on figshare in 2026, the data shows a critical inflection point in 2015 after which mortality surged at 9.89% annually.

Use Cases

• Analyze temporal mortality trends based on annual age-adjusted mortality rates from 1999 to 2023.
• Compare mortality acceleration between CKD with depression and CKD overall based on the reported post-2015 divergence.
• Identify high-risk demographic subgroups based on stratification by sex, age, race, census region, and urban-rural residence.

Strengths

• Analysis covers a 24-year time span from 1999 to 2023.
• Results are based on 11,076 attributed deaths from the CDC WONDER multiple-cause-of-death database.
• Trends are stratified by multiple demographic and geographic variables including sex, age, race, and census region.

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 24.7 KB, indicating limited scope.

Provenance

Source

CDC WONDER multiple-cause-of-death database

Collection Method

Population-based analysis using joinpoint regression.

Time Range

1999–2023

Freshness

Last updated 2026-06-03 04:48:46; freshness should be verified.

Geography

United States, stratified by census region and urban-rural residence.