Evidence map›Paper›PMID 40556917›Full record

ArticleFrontiers in public health2025

The impact of health literacy on quality of life in patients with chronic diseases.

Jiali Zhang, Yinhai Chen, Yuanwei Lu, Xuan Jiang, Congxuan Lin, Xiong Ke

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

6 authors.

Jiali ZhangSchool of Public Health, North Sichuan Medical College, Nanchong, China.
Yinhai ChenSchool of Nursing, North Sichuan Medical College, Nanchong, China.
Yuanwei LuSchool of Management, North Sichuan Medical College, Nanchong, China.
Xuan JiangSchool of Public Health, North Sichuan Medical College, Nanchong, China.
Congxuan LinSchool of Management, North Sichuan Medical College, Nanchong, China.
Xiong KeSichuan Primary Health Research Center, North Sichuan Medical College, Nanchong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We aimed to assess quality of life in patients with chronic diseases and identify influencing factors, as well as to explore the relationship between health literacy and quality of life in this population. Methods: We used health literacy and EuroQol 5-Dimensions 5-Level version survey data from chronically ill patients in the 2023 Sichuan Province Chinese Resident Psychological and Behavioral Survey Study. We analyzed factors influencing quality of life using a tobit regression model and examined the relationship between quality of life and health literacy using canonical correlation analysis. Results: The health utility value for quality of life among 611 patients with chronic diseases was 0.95 (0.86-1), with an EuroQol Visual Analog Scale score of 71.04 ± 16.21. Regression analysis revealed that health literacy ( Conclusion: Enhancing health literacy can positively impact the life quality of patients with chronic diseases. Key elements of health literacy interventions should include evaluating treatment information, accessing resources to address mental health concerns, and determining individual vaccine needs. Health education strategies should be developed to improve both health literacy and quality of life for patients with chronic diseases.

Indexed as

Health LiteracyQuality of LifeAdultAgedChinaChronic DiseaseFemaleHumansMaleMiddle AgedSurveys and Questionnairesassociationchronic disease patientshealth literacyquality of liferelationship

Identifiers

PMID40556917
PMCPMC12186059

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.