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Knowledge, attitude, and practice of lung cancer screening and associated factors among high-risk population in Lanzhou, China: A cross-sectional study

Tian-Ming Zhang, Zhiqing Mao, Wenjun Li, Minghui Ma, Guang-Yan Li, Xiaozhong Qiao, Hong Wang

Medicine, 2024

577 participants · 4 citations

Abstract

This study aimed to assess the knowledge, attitude, and practice (KAP) of high-risk populations toward lung cancer screening in Lanzhou, China. Using convenience sampling, this cross-sectional study enrolled outpatients at high-risk for lung cancer at Lanzhou University Second Hospital between November 2022 and March 2023. An anonymous, self-administered online questionnaire was distributed to each participant via the Sojump website (https://www.wjx.cn/), comprising 40 items to collect demographic information and evaluate KAP toward lung cancer screening. The analyses were descriptive. A total of 577 participants (average age of 61.8 ± 7.1 years; 306 males) were included in the study. The participants’ scores for KAP were 4.9 ± 2.2, 27.4 ± 3.0, and 7.0 ± 2.1, respectively. Participants with occupational exposure had significantly lower knowledge score (3.3 ± 2.4 vs 5.2 ± 2.1, P < .001), and practice score (5.6 ± 2.4 vs 7.3 ± 1.9, P < .001) than those without occupational exposure. Participants with smoking or passive smoking history had significantly higher attitude scores (27.6 ± 2.9 vs 25.8 ± 3.2, P < .001) and practice scores (7.1 ± 2.0 vs 6.5 ± 2.5, P = .014) than those without smoking history. A total of 360 (62.4%) participants endorsed the doctors’ counseling on lung cancer screening, and 355 (61.5%) participants were willing to have screening for lung cancer as doctors advised. The study revealed that 390 (67.6%) participants identified low-dose computed tomography…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 577 participants or records.

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