Evidence map›Paper›PMID 41200029›Full record

ArticleFrontiers in public health2025

The chain-mediating roles of social support and depression in the relationship between tuberculosis knowledge and self-management: a cross-sectional study based on the ABC-X model.

Chune Gu, Bofei Liu, Huijuan Wang, Yaling Ma, Lei Guo

Abstract read
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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 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chune GuDepartment of Nursing, The Fourth People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China.
Bofei LiuDepartment of Tuberculosis, The Fourth People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China.
Huijuan WangDepartment of Nursing, The Fourth People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China.
Yaling MaDepartment of Tuberculosis, The Fourth People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China.
Lei GuoDepartment of Tuberculosis, The Fourth People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: Self-management plays a vital role in tuberculosis (TB) care, yet remains suboptimal among patients due to limited disease knowledge and psychosocial challenges. While prior studies have explored the individual roles of knowledge, social support, or depression in TB treatment, few have examined their interactive and sequential effects. This study aimed to investigate whether perceived social support and depression mediate the relationship between TB knowledge and self-management, using the ABC-X family stress model as the theoretical framework. Methods: A cross-sectional survey was conducted. Using convenience sampling to select 204 patients with primary pulmonary TB hospitalized at a tertiary TB hospital in Ningxia, China. Participants completed validated questionnaires assessing TB knowledge, perceived social support, depression, and self-management ability. Correlation analysis was used to assess associations among key variables. Mediation analysis was performed using SPSS PROCESS macro (Model 6), with 5,000 bootstrap resamples to estimate direct and indirect effects. Results: TB knowledge was positively correlated with self-management and perceived social support, and negatively correlated with depression. Perceived social support was negatively correlated with depression and positively correlated with self-management. Depression was negatively correlated with self-management. The chain-mediating path-TB knowledge → social support → depression → self-management-was statistically significant and accounted for 5.00% of the total effect, while the total indirect effect explained 42.74% of the total effect. Conclusion: This study demonstrated that TB knowledge significantly influences self-management, both directly and indirectly, through the sequential mediating roles of perceived social support and depression. Enhancing TB knowledge alone may be insufficient without concurrently addressing social support and mental health. Multidimensional interventions integrating education, social support enhancement, and psychological care are essential for improving patient adherence and outcomes. The ABC-X model provides a useful framework for guiding future TB self-management interventions.

Indexed as

DepressionHealth Knowledge, Attitudes, PracticeSelf-ManagementSocial SupportTuberculosisAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and Questionnairesdepressiondisease knowledgeself-managementsocial supporttuberculosis

Identifiers

PMID41200029
PMCPMC12586134

What Socratic holds

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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 Socratic graph.