Evidence map›Paper›PMID 42182701›Full record

ArticleJournal of thoracic disease2026

Psychosocial factors associated with depression and sleep quality in patients with tuberculosis: a multicenter cross-sectional study.

Huanhuan Li, Xue Qiu, Huizhen Lan, Zihan Chen, Huan Zhang, Guibing Zhu, Xiangmin Liu

Abstract read
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Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Huanhuan Li *Mental Health Center, National Center for Mental Disorders, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.ORCID https://orcid.org/0009-0008-2893-993X
Xue Qiu *Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.
Huizhen LanDepartment of Intensive Care Unit, The Fourth People Hospital of Nanning, Nanning, China.
Zihan ChenDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.
Huan ZhangDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.
Guibing ZhuShenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China.
Xiangmin LiuDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0003-3261-0666

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with tuberculosis (TB) often experience stigma alongside emotional distress and impaired sleep quality. These difficulties tend to co-occur and interact, yet prior studies have usually examined them in isolation or assumed simple unidirectional relationships. This study aimed to examine the interrelationships among stigma, perceived stress, anxiety, depression, and sleep quality in Chinese patients with TB. Methods: A cross-sectional study was conducted among 584 adult patients with TB recruited from three tertiary hospitals in China between July 2023 and October 2024. Validated instruments were used to assess stigma, perceived stress, anxiety, depression, and sleep quality. Non-recursive structural equation modeling was applied to examine direct, indirect, and reciprocal relationships among these variables. Results: Higher levels of stigma were associated with more severe depression (β=0.165, P=0.002) and poorer sleep quality (β=0.323, P<0.001). These associations were both direct and indirect, mediated by increased perceived stress and anxiety. Perceived stress and anxiety served as key psychological pathways linking stigma to depression and sleep quality. Moreover, depression and sleep quality showed a reciprocal relationship, with significant paths from depression to sleep quality (β=0.179, P<0.001) and from sleep quality to depression (β=0.089, P<0.001). Conclusions: These findings suggest that stigma in patients with TB is embedded within a network of interconnected psychological distress and sleep problems. The reciprocal relationship between depressive symptoms and sleep implies that interventions targeting single symptoms domains may be insufficient. Integrated care strategies that address stigma, emotional distress, and sleep disturbances are likely to be more effective in improving patient-centered outcomes concurrently.

Indexed as

Chinadepressionsleep qualityTuberculosis-related stigma

Identifiers

PMID42182701
PMCPMC13190130

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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.