Evidence map›Paper›PMID 42069578›Full record

ArticleBMC public health2026

The bidirectional relationships among multimorbidity, depression, and catastrophic health expenditures in middle-aged and older Chinese adults: random-intercept, cross-lagged panel model.

Yan Wang, Zhiwei Wang, Yuhan Wang, Jing Yu, Shiji Xia, Yanna Li, Yushi Che, Yiqiao Wang, Xinyuan Li, Yunfang Liu and 1 more

Abstract read
In one paragraph

Article in BMC public health, 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

11 authors.

Yan WangSchool of Management, Beijing University of Chinese Medicine, Beijing, 102400, China.
Zhiwei WangSchool of Management, Beijing University of Chinese Medicine, Beijing, 102400, China. wzw9902@126.com.
Yuhan WangSchool of Management, Beijing University of Chinese Medicine, Beijing, 102400, China.
Jing YuSchool of Management, Beijing University of Chinese Medicine, Beijing, 102400, China.
Shiji XiaSchool of Management, Beijing University of Chinese Medicine, Beijing, 102400, China.
Yanna LiShenzhen Health Development Research and Data Management Center, Shenzhen, 518000, China.
Yushi CheSchool of Management, Beijing University of Chinese Medicine, Beijing, 102400, China.
Yiqiao WangSchool of Mathematics, Statistics and Mechanics, Beijing University of Technology, Beijing, 100124, China.
Xinyuan LiSchool of Management, Beijing University of Chinese Medicine, Beijing, 102400, China.
Yunfang LiuSchool of Management, Beijing University of Chinese Medicine, Beijing, 102400, China.
Lijuan AnSchool of Management, Beijing University of Chinese Medicine, Beijing, 102400, China.

Funding

State Administration of Traditional Chinese Medicine of the People's Republic of China BUCM-2024-KJ-GL-013
6 · The paper itself

Abstract

backgroundThe evolving global disease landscape, in conjunction with the significant impact of an aging population, has led to mental‒physical multimorbidity, imposing unprecedented pressures on healthcare systems and economies. This study aimed to investigate the interrelationships among multimorbidity, depression, and catastrophic health expenditure (CHE) and to test whether the intensity of CHE mediates these links.

methodsThe analysis employed data from the China Health and Retirement Longitudinal Study (CHARLS), which conducted a longitudinal survey from 2011 to 2018, tracking 5,274 participants aged 45 years and older over a seven-year timeframe. Multimorbidity was ascertained through self-reported data from participants, whereas depression was evaluated via the 10-item Center for Epidemiologic Studies Depression Scale (CES-D-10). The intensity of CHE was calculated as the ratio of out-of-pocket (OOP) payments to the capacity to pay (CTP), adjusted for a catastrophic threshold of 40%. The relationships among the three variables were analysed via an extension of the random intercept cross-lagged panel model (RI-CLPM), which includes covariates to predict the observed variables. Mediation via the intensity of CHE was tested using 5,000 bootstrap resamples.

resultsAt the between-person level, multimorbidity and depression were positively correlated (Model 1 r = 0.349; Model 2 r = 0.246; both p < 0.001), whereas the intensity of CHE showed negligible between-person associations with either variable. At the within-person level, all variables showed significant autoregressive stability, with multimorbidity demonstrating the strongest persistence (β = 0.808 in Model 1 and 0.936 in Model 2). Cross-lagged associations were clearly asymmetric, with prior multimorbidity exerting the largest prospective effects on the intensity of CHE (β = 3.028) and subsequent depression (β = 0.646 in Model 1 and β = 0.789 in Model 2), whereas prior depression and prior intensity of CHE had much smaller effects on later multimorbidity. Mediation analyses indicated that the intensity of CHE (T) partially mediated the association from multimorbidity (T‑1) to depression (T + 1) (indirect effect = 0.063, 95% CI [0.042, 0.084]), but showed negligible mediation for the reverse pathway from depression (T‑1) to multimorbidity (T + 1) (indirect effect = 0.001, 95% CI [0.000, 0.001]).

conclusionsThe study identified asymmetric bidirectional relationships among multimorbidity, depression, and the intensity of CHE in Chinese middle-aged and older adults, with effects predominantly running from multimorbidity to increased intensity of CHE and later depression; the intensity of CHE explained only a small portion of the multimorbidity→depression effect and virtually none of the depression→multimorbidity pathway. Policies that integrate multimorbidity management with routine depression screening could help reduce the combined physical, psychological, and financial burdens among middle-aged and older adults.

Indexed as

Catastrophic IllnessDepressionHealth ExpendituresMultimorbidityAgedChinaEast Asian PeopleFemaleHumansLongitudinal StudiesMaleMiddle AgedCatastrophic health expenditureDepressionMiddle-aged and elderly adultsMultimorbidityRandom intercept cross-lagged panel model

Identifiers

PMID42069578
PMCPMC13285304

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.