Evidence map›Paper›PMID 39922844›Full record

ArticleScientific reports2025

The mediating role of social support in self-management and quality of life in patients with liver cirrhosis.

Ying Zhang, LeYao Xiao, Qian Liu, XinYi Zhang, MingDan Li, YaLi Xu, Mei Dai, Fei Zhao, YouShu Shen, Jordan Tovera Salvador and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
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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.

Ying Zhang *Department of Infectious Diseases, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
LeYao Xiao *Department of Infectious Diseases, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
Qian LiuDepartment of Infectious Diseases, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
XinYi ZhangDepartment of Infectious Diseases, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
MingDan LiDepartment of Infectious Diseases, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
YaLi XuDepartment of Infectious Diseases, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
Mei DaiDepartment of Infectious Diseases, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
Fei ZhaoDepartment of Infectious Diseases, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
YouShu ShenDepartment of Infectious Diseases, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
Jordan Tovera SalvadorNursing Education Department, College of Nursing, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Ping YangDepartment of Infectious Diseases, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China. yangping199607@sina.com.

Funding

Guizhou Provincial Science and Technology Department Fund Qiankehe Support [2021] General 049
6 · The paper itself

Abstract

Patients with liver cirrhosis often experience factors such as malnutrition and lack of exercise, leading to reduced quality of life. Insufficient social support is related to self-management in patients with chronic diseases. Therefore, this study explores the mediating role of social support in the relationship between self-management and quality of life, analyzing the impact of exercise frequency and malnutrition risk assessment on social support, self-management, and quality of life. Using a convenience sampling method, cross-sectional data were collected from 257 patients with liver cirrhosis at the infectious disease department of a tertiary hospital in Zunyi, China, from 2021 to 2022. The patients were evaluated using a demographic questionnaire, the Self-Management Behavior Scale for Liver Cirrhosis Patients, the Social Support Rating Scale (SSRS), the Chronic Liver Disease Questionnaire (CLDQ), and the Royal Free Hospital Nutritional Prioritizing Tool (RFH-NPT). Data were analyzed using SPSS and PROCESS software. (1) Patients in the decompensated stage of liver cirrhosis and those classified in Child-Pugh class B/C had lower scores in self-management, quality of life, and social support compared to patients in the compensated stage of liver cirrhosis and those classified in Child-Pugh Class A. (2) Quality of life was positively correlated with both social support and self-management (r = 0.668, r = 0.665, both P < 0.001). (3) Mediation analysis showed that self-management had a direct predictive effect on quality of life. Social support had a mediating effect between self-management and quality of life, with an indirect effect of 0.489 (95% CI: 0.362, 0.629), accounting for 40.58% of the total effect. (4) Exercise frequency and malnutrition risk assessment were independent influencing factors for social support, self-management, and quality of life. (5) In the regression model, after excluding confounding factors, Model I explained 14% of the variance in quality of life due to control variables, Model II explained 49.5%, and when social support was added, Model III explained 56.9% of the variance in quality of life. Under the mediating role of social support, self-management can improve quality of life. Exercise frequency and malnutrition risk assessment, as independent influencing factors, also modulate social support and self-management. These findings underscore the importance of strengthening social support and developing self-management programs targeting exercise and nutrition to enhance the quality of life in patients with liver cirrhosis.

Indexed as

Liver CirrhosisQuality of LifeSelf-ManagementSocial SupportAdultAgedChinaCross-Sectional StudiesExerciseFemaleHumansMaleMalnutritionMiddle AgedSurveys and QuestionnairesExerciseLiver cirrhosisMediation effectNutritionQuality of lifeSelf-managementSocial support

Identifiers

PMID39922844
PMCPMC11807096

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LicenceCC BY-NC-ND
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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.