Evidence map›Paper›PMID 35355621›Full record

ArticleInfection and drug resistance2022

Study on the Influencing Factors of Knowledge, Attitudes and Practice About Tuberculosis Among Freshmen in Jiangsu, China: A Cross-Sectional Study.

Guoping Du, Chao Li, Yangyang Liu, Fulai Tu, Ruizhe Yang, Rui Li, Hongbing Shen, Wei Li

Abstract read
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Article in Infection and drug resistance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

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0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Guoping Du *Department of General Practice, Southeast University Hospital, Nanjing, Jiangsu, People's Republic of China.
Chao Li *Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, People's Republic of China.
Yangyang Liu *Key Laboratory of Environmental Medicine Engineering, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, Jiangsu, People's Republic of China.
Fulai TuKey Laboratory of Environmental Medicine Engineering, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, Jiangsu, People's Republic of China.
Ruizhe YangDepartment of Prevention and Health Care, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, People's Republic of China.
Rui LiKey Laboratory of Environmental Medicine Engineering, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, Jiangsu, People's Republic of China.
Hongbing ShenDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, People's Republic of China.
Wei LiDepartment of Quality Management, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Adolescents aged from 19 to 22 are the main high-risk population of pulmonary tuberculosis (PTB). This study aimed to understand the current status of knowledge, attitudes and practices (KAP) about TB among freshmen from Jiangsu colleges and universities. Analyze its influencing factors and explore the interrelationships of KAP. This provides a basis for building a reversing mechanism for health education on tuberculosis prevention and treatment in middle and high schools. Methods: A multistage randomly was used to select freshmen to conduct this online survey. The Results: A total of 6980 freshmen in colleges and universities were investigated. The total awareness rate was 89.02%, and the awareness rate of all core knowledge about TB was 58.94%. It is characterized by general demographic data, and all core knowledge is known as a label to establish a model, based on the f1- of the four models The score believes that the random forest model has the best fitting effect, and the ranking of the influencing factors included in the model is school type (0.72) >father's education (0.15) >family monthly income (0.03) >mother's education, gender, region (0.02); a structural equation model is established, and the modified knowledge and attitude path coefficient is 0.29 ( Conclusion: The total awareness rate of core knowledge of Jiangsu college freshmen reaches the national requirements, but the overall awareness rate is low. It is necessary to strengthen the health education of tuberculosis for those with identified risk factors.

Indexed as

attitudes and practicesfreshmenknowledgetuberculosis

Identifiers

PMID35355621
PMCPMC8959873

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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.