Evidence map›Paper›PMID 41164839›Full record

ArticleFrontiers in public health2025

Healthcare deprivation matters: a novel framework to unveil the influencing mechanisms of aging anxiety and healthcare utilization.

Zhiyi Luo, Fanyi Kong, Jianhua Wu, Zihao Bian, Yuxuan Li, Jinli Yang, Yansui Yang, Yuehua Liu

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.

Zhiyi Luo *School of Healthcare Management, Tsinghua Medicine, Tsinghua University, Beijing, China.
Fanyi Kong *School of Healthcare Management, Tsinghua Medicine, Tsinghua University, Beijing, China.
Jianhua WuWireless and Computing Product R&D Institute, ZTE Corporation, Shenzhen, China.
Zihao BianSchool of Healthcare Management, Tsinghua Medicine, Tsinghua University, Beijing, China.
Yuxuan LiSchool of Economics, Peking University, Beijing, China.
Jinli YangMedical School, Shenzhen University, Shenzhen, China.
Yansui YangSchool of Healthcare Management, Tsinghua Medicine, Tsinghua University, Beijing, China.
Yuehua LiuDong Fureng Institute of Economic and Social Development, Wuhan University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Aging anxiety is not only a health issue but also a stress response to the structural risk of insufficient medical resources. This study aims to reveal the impact of aging anxiety on individual healthcare utilization and the complex psychosocial mechanisms behind it. Methods: Based on large-scale data from the 2021 Chinese General Social Survey (CGSS), the study employs a Double Machine Learning (DML) method to build a causal inference model. The random forest algorithm is used to estimate the marginal effect of aging anxiety on healthcare utilization. The robustness checks and placebo tests are conducted to further verify the model's stability and validity. Finally, heterogeneity analysis explored the differential impact of independent variables across groups by age, education, household health status and kid number. Results: Aging anxiety has a significant positive effect on healthcare utilization ( Conclusion: To alleviate anxiety related to medical resource shortage and promote healthy aging, a multidimensional response system is needed. This includes improving medical insurance, advancing primary healthcare management, enhancing health literacy, and building family-community support networks. Policy design should emphasize the synergy between psychosocial factors and institutional frameworks, providing theoretical and empirical support for equitable, inclusive healthcare utilization and sustainable health development.

Indexed as

AgingAnxietyHealth Services AccessibilityPatient Acceptance of Health CareAdultAgedChinaFemaleHumansMaleMiddle AgedSurveys and Questionnairesaging anxietydouble machine learninghealthcare deprivationhealthcare utilizationmediation effect

Identifiers

PMID41164839
PMCPMC12558805

What OpenQuestion holds

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LicenceCC BY
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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.