Evidence map›Paper›PMID 42773077›Full record

ArticleJournal of Korean medical science2026

Income Volatility and Risk of All-Cause Mortality and Cause-Specific Hospitalization Among Adults With Depression: A Nationwide Cohort Study.

Hanseul Cho, Yerin Hwang, Hayeon Lee, Ann K Shinn, Alexander C Tsai, André Hajek, Lee Smith, Ho Geol Woo, Selin Woo, Dong Keon Yon

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Hanseul Cho *Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID https://orcid.org/0009-0005-7463-4094
Yerin Hwang *Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9705-8190
Hayeon LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0000-2403-6241
Ann K ShinnHarvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0000-0002-5311-6280
Alexander C TsaiDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID https://orcid.org/0000-0001-6397-7917
André HajekDepartment of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Hamburg, Germany.ORCID https://orcid.org/0000-0002-6886-2745
Lee SmithCentre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK.ORCID https://orcid.org/0000-0002-5340-9833
Ho Geol WooDepartment of Neurology, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-6489-0100
Selin WooCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea. dntpfls@naver.com.ORCID https://orcid.org/0000-0001-7961-2074
Dong Keon YonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-1628-9948

Funding

Kyung Hee University KHU-20242591Ministry of Education RS-2024-00460379Ministry of Health and Welfare RS-2025-02220492Ministry of Science and ICT IITP-2026-RS-2024-00438239Ministry of Science and ICT RS-2024-00509257
6 · The paper itself

Abstract

backgroundDepression and personal income volatility are associated with adverse health outcomes through both shared and distinct pathways. However, their combined impact on long-term health outcomes remains poorly understood.

methodsThis nationwide cohort study used the National Health Insurance Service claims database of South Korea, including 735,922 adults aged 19-80 years newly diagnosed with depression in the pre-observation period (2008-2012). Depression was identified using International Classification of Diseases, Tenth Revision codes F32, F33, and F34.1. Personal income volatility was measured using the intraindividual standard deviation of annual percent income change from the same period and categorized into tertiles (low, medium, and high). Individuals were followed from the index date (January 1, 2013) through December 31, 2023 for all-cause mortality and hospitalizations across 15 major disease categories and 80 specific conditions. We estimated mortality using Cox proportional hazards regression and hospitalization using negative binomial regression, using overlap propensity score weighting across tertiles in a 1:1:1 ratio.

resultsAmong 735,922 adults with a recorded diagnosis of depression (mean age 46.08 years; 499,404 [67.9%] women), a total of 1,770,856 hospitalizations and 90,087 deaths were observed over 7,622,456 person-years of follow-up (mean duration, 10.3 years). Higher income volatility was associated with increased risk of all-cause mortality (high vs. low tertile: hazard ratio [HR], 1.18 [95% confidence interval, 1.16-1.19]) and hospitalization (incidence rate ratio [IRR], 1.07 [1.06-1.08]). The associations between high income volatility and all-cause mortality were more pronounced among men (HR, 1.26 [1.24-1.28]) than women (HR, 1.12 [1.10-1.14]), and among adults aged 30-49 years (HR, 1.17 [1.14-1.21]). The associations with hospitalization were also more pronounced among men (IRR, 1.08 [1.07-1.10]) than women (IRR, 1.07 [1.06-1.08]), and among those aged 50-80 years (IRR, 1.09 [1.08-1.10]). Among the 15 disease categories, hospitalization risks associated with high income volatility were greatest for blood disorders (IRR, 1.47 [1.36-1.59]), endocrine diseases (IRR, 1.40 [1.34-1.46]), respiratory diseases (IRR, 1.35 [1.27-1.43]), and mental disorders (IRR, 1.26 [1.23-1.30]), and lowest for cancer and neoplasms (IRR, 0.96 [0.92-0.99]). Among the 80 conditions, hospitalization risks associated with high income volatility were greatest for hypertensive heart disease (IRR, 1.74 [1.50-2.02]), epilepsy/seizures (IRR, 1.58 [1.46-1.71]), malnutrition (IRR, 2.08 [1.34-3.22]), and nutritional anemia (IRR, 1.85 [1.60-2.13]), among others.

conclusionIncome volatility is a risk factor for increased mortality and hospitalization among individuals with depression, separable from baseline income. These findings underscore income volatility as a critical but overlooked determinant of health in this population.

Indexed as

DepressionHospitalizationIncomeAdultAgedAged, 80 and overCohort StudiesDatabases, FactualFemaleHumansMaleMiddle AgedProportional Hazards ModelsRepublic of KoreaRisk FactorsYoung AdultDepressionHospitalizationIncomeMortality

Identifiers

PMID42773077
PMCPMC13597209

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.