Dose‐dependent association between estimated glomerular filtration rate and the subsequent risk of depression: An analysis of a nationwide epidemiological dataset Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.1111/eci.14322
Background Although the risk of depression is well‐known in the patients with kidney dysfunction, especially at the late stages, little is known about the exact point at which the decline in estimated glomerular filtration rate (eGFR) begins to significantly increase the risk of depression. In the present study, we analysed a nationwide epidemiological dataset to investigate the dose‐dependent association between baseline eGFR and a future risk of developing depression in a general population. Methods We retrospectively analysed 1,518,885 individuals (male: 46.3%) without a history of depression identified between April 2014 and November 2022 within a nationwide epidemiological database, provided by DeSC Healthcare (Tokyo, Japan). We investigated the association of eGFR with the incidence of depression using Cox regression analyses and also conducted cubic spline analysis to investigate the dose‐dependent association between eGFR and depression. Results In the mean follow‐up of 1218 ± 693 days, 45,878 cases (3.0% for total participants, 2.6% for men and 3.3% for women) of depression were recorded. The risk of depression increased with the eGFR decline as well as the presence of proteinuria. Multivariable Cox regression analysis showed the hazard ratio (95% CI) of depression in each kidney function category (eGFR ≥90, 60–89, 45–59, 30–44, 15–29, and < 15 mL/min/1.73 m 2 ) was 1.14 (1.11–1.17), 1 (reference), 1.11 (1.08–1.14), 1.51 (1.43–1.59), 1.77 (1.57–1.99) and 1.77 (1.26–2.50), respectively. In the cubic spline analysis, the risk of depression continued to increase monotonically as the eGFR declined when the eGFR fell below approximately 65 mL/min/1.73 m 2 . Conclusions Our analysis using a large‐scale epidemiological dataset presented the dose‐dependent association between eGFR decline and the risk of depression, which highlights the importance of incorporating mental health assessments into the routine care of patients with kidney dysfunction, regardless of the stage of their disease.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/eci.14322
- OA Status
- green
- Cited By
- 5
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4402950423
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4402950423Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1111/eci.14322Digital Object Identifier
- Title
-
Dose‐dependent association between estimated glomerular filtration rate and the subsequent risk of depression: An analysis of a nationwide epidemiological datasetWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-09-27Full publication date if available
- Authors
-
Toshiyuki Ko, Hidehiro Kaneko, Yuta Suzuki, Akira Okada, Tatsuhiko Azegami, Katsuhito Fujiu, Norifumi Takeda, Hiroyuki Morita, Takashi Yokoo, Kaori Hayashi, Issei Komuro, Hideo Yasunaga, Masaomi Nangaku, Norihiko TakedaList of authors in order
- Landing page
-
https://doi.org/10.1111/eci.14322Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.ncbi.nlm.nih.gov/pmc/articles/11628668Direct OA link when available
- Concepts
-
Medicine, Depression (economics), Epidemiology, Renal function, Hazard ratio, Proportional hazards model, Internal medicine, Incidence (geometry), Population, Confidence interval, Environmental health, Optics, Economics, Macroeconomics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5Per-year citation counts (last 5 years)
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42Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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