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Temporal trends and disparities in mortality among US adults with chronic kidney disease and comorbid depression

A population-based analysis, 1999–2023

Bibliographic Data

ID22085128
AuthorsPengcheng Zhao (0000-0003-0024-6898, Sichuan University), Libo Yang (0000-0002-7538-629X, Sichuan University), Fang Wu (0000-0002-8436-7293, Sichuan University), 吴芳 吴芳 (Sichuan University), Yingan Li (Sichuan University), Yun He (0000-0003-1145-3833, Sichuan University, corresponding author)
Year2026
Volume14
Pages1860838-1860838
Publication date2026-06-03
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2026.1860838
PMID42317998
OpenAlexW7163328223
LanguageEN
References cited49

Background Chronic kidney disease (CKD) and depression frequently co-occur, yet population-level mortality trends for their joint occurrence are poorly characterized. Methods Using the CDC WONDER multiple-cause-of-death database, we examined annual age-adjusted mortality rates (AAMR) per 100,000 population among U.S. adults aged ≥ 25 years with CKD and co-occurring depression from 1999 to 2023. Joinpoint regression was employed to estimate annual percent change (APC) and average annual percent change (AAPC). Trends were stratified by sex, age, race, census region, and urban–rural residence. A Poisson log-linear model tested trend heterogeneity between CKD overall and CKD with depression during 2016–2021. Results 11,076 deaths were attributed to CKD with co-occurring depression. Overall AAMR increased from 0.12 to 0.22 per 100,000 (AAPC, 2.32%; 95% CI, −3.48 to 8.47%). Joinpoint analysis identified a critical inflection point in 2015, after which mortality surged at an APC of 9.89% (95% CI, 6.39 to 13.50%; p < 0.001). In contrast, CKD overall mortality decelerated after 2016 and plateaued recently. The post-2015 slope for CKD with depression significantly exceeded that of CKD overall ( p for interaction < 0.0001). Acceleration was most pronounced among men, adults aged ≥85 years, residents of the South, and nonmetropolitan populations. Sensitivity analysis restricted to 2013–2023 yielded a sustained upward APC of 7.38% (95% CI, 5.00–10.41%; p < 0.0001). Conclusion Mortality among CKD with co-occurring depression has accelerated sharply since 2015, diverging markedly from the plateauing trend of CKD overall. Routine depression screening integration into nephrology care is urgently warranted, especially for high-risk populations

Kidney disease · Mortality rate · National Health and Nutrition Examination Survey · Poisson regression · Population · Chronic Disease Management Strategies · Chronic Kidney Disease and Diabetes · Dialysis and Renal Disease Management · Nephrology

  • Gender differences in depression

    Gordon Parker, Heather Brotchie•International Review of Psychiatry•2010

  • Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (Dalys), and healthy life expectancy (Hale) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021

    Open Access•Alize J Ferrari, Damian Francesco Santomauro et al.•The Lancet•2024

  • The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement

    Open Access•Erik Von Elm, David G Altman et al.•The Lancet•2007

  • Depression and Associated Factors in Chinese Patients With Chronic Kidney Disease Without Dialysis

    Open Access•Di‐Fei Duan, Difei Duan et al.•Frontiers in Public Health•2021

  • Multimorbidity, social determinants and intersectionality in chronic patients. Results from the EpiChron Cohort

    Open Access•Aída Moreno-Juste, Antonio Gimeno‐Miguel et al.•Journal of Global Health•2023

  • Illness beliefs among patients with chronic widespread pain - associations with self-reported health status, anxiety and depressive symptoms and impact of pain

    Open Access•Pirjo Järemo, Maria Arman et al.•BMC Psychology•2017

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