Evidence map›Paper›PMID 41235193›Full record

ArticleFrontiers in public health2025

Longitudinal study on health-related quality of life and multimorbidity: from trajectories to outcomes in China.

Jiancai Du, Ai Qi, Wenlong Wang, Ximin Ma, Jiahui He, Qi Hu, Kexin Chen, Hui Qiao

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Jiancai DuSchool of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China.
Ai QiSchool of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China.
Wenlong WangSchool of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China.
Ximin MaSchool of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China.
Jiahui HeSchool of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China.
Qi HuSchool of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China.
Kexin ChenSchool of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China.
Hui QiaoSchool of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The association between multimorbidity and health-related quality of life has been extensively studied. This study aimed to investigate the longitudinal association between multimorbidity and health-related quality of life in a rural Chinese population. Specifically, we sought to: (1) examine how the trajectory of multimorbidity burden influences subsequent health-related quality of life, and (2) explore how the trajectory of health-related quality of life, in turn, influences the incidence of multimorbidity. Methods: Based on a longitudinal survey of the health status of rural community residents aged 18 years and above in 2012, 2015, 2019, and 2022, a group-based trajectory model was used to fit the trajectory of multimorbidity and health-related quality of life utility index over time. Multinomial logistic regression was employed to analyze the association trajectory with outcomes between the health-related quality of life utility index and multimorbidity. A series of sensitivity analyses was used to ensure the robustness of results. Results: A total of 1,398 residents who completed the four follow-up surveys were included in the analysis. Two trajectories of the health-related quality of life utility index were identified, and the risk of two and three or more multimorbidities in the decline trajectory was 1.95 and 3.78 times greater than that in the stable trajectory, respectively. Two trajectories of multimorbidity were identified: the health-related quality of life utility index decreased by 0.09 in the rapid increase trajectory compared with the slow increase trajectory. The results of the sensitivity analysis remained robust. Conclusion: The trajectory of the health-related quality of life utility index can be used to predict the risk of multimorbidity. Heterogeneous trajectories of chronic disease multimorbidity development lead to differential impacts on the health-related quality of life utility index.

Indexed as

Health StatusMultimorbidityQuality of LifeRural PopulationAdolescentAdultAgedChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedSurveys and QuestionnairesChinalongitudinal studiesmultimorbidityquality of liferural population

Identifiers

PMID41235193
PMCPMC12605071

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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.