Evidence map›Paper›PMID 41808103›Full record

ArticleBMC public health2026

Factors associated with the willingness to accept tuberculosis preventive treatment among close contacts in Yantai, China: a cross-sectional study.

Xiaohua Ren, Yi Yang, Haifeng Hou, Lili Zhen, Jing Zhou, Huihui He, Yuelei Wang

Abstract read
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Article in BMC public health, 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

What it found

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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

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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.

Xiaohua Ren *Yantai Center for Disease Control and Prevention, Yantai, China.
Yi Yang *Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Haifeng HouSchool of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China.
Lili ZhenYantai Center for Disease Control and Prevention, Yantai, China.
Jing ZhouYantai Center for Disease Control and Prevention, Yantai, China.
Huihui HeYantai Center for Disease Control and Prevention, Yantai, China.
Yuelei WangYantai Center for Disease Control and Prevention, Yantai, China. leowang615@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB) remains a major global health threat. Understanding the determinants of willingness to accept TB preventive treatment (TPT) among close contacts is essential for improving prevention coverage and achieving the “End TB Strategy” targets.

methodsA cross-sectional survey using a consecutive sampling strategy was conducted in 2024 among close contacts of TB patients across four districts/cities in Yantai (Mouping, Penglai, Haiyang, and Longkou). The questionnaire collected data on sociodemographic, exposure history, lifestyle habits, health status, and TB-related knowledge. Multivariate logistic regression analysis was used to identify factors associated with willingness to accept TPT.

resultsA total of 565 close contacts were surveyed. The overall willingness to receive TPT was high at 86.40% (n = 488), though the core TB knowledge awareness rate was 62.30%. Multivariate analysis revealed that willingness was significantly higher among those in the 25–44 age group (OR = 11.641; 95% CI: 2.1–64.541; P = 0.005) and the 45–64 age group (OR = 7.258; 95% CI: 1.379–38.214; P = 0.019). Significant positive associations were found with the frequency of fruit intake (e.g., daily consumption: OR = 17.708; 95% CI: 3.871–81.014; P < 0.001) and, most strongly, with better knowledge of latent TB infection and TPT (all correct answers: OR = 30.159; 95% CI: 11.24–80.919; P < 0.001). Conversely, various occupational groups (e.g., farmers, self-employed, retired individuals) and certain residential relationships (different rooms in the same dwelling) were negatively associated with willingness.

conclusionsClose contacts demonstrated generally high acceptance of TPT. Age, occupation, living arrangements, lifestyle behaviors, and TB-related knowledge were identified as significant factors associated with willingness to accept treatment. Strengthening targeted education and improving awareness of latent TB infection may enhance uptake of TPT and support TB control strategies.

Indexed as

Contact TracingPatient Acceptance of Health CareTuberculosisAdolescentAdultChinaCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultAssociated factorsClose family contactsPreventive treatmentTuberculosisWillingness to accept

Identifiers

PMID41808103
PMCPMC13088544

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LicenceCC BY-NC-ND
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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.