Multivariable prediction of early malignancy detection among first-degree relatives of patients with hereditary colorectal cancer based on the health belief model: A cross-sectional study from the largest hereditary colorectal cancer cohort in China

The uptake of malignancy early detection among FDRs should be improved. Some demographic and health-related characteristics, knowledge score, perceived susceptibility and self-efficacy were the most important predictors of malignancies early detection. Enhancing the recognition of clinical features of hereditary CRC and offering personalized genetic counseling, along with tailored cancer risk assessments, could further optimize individual cancer surveillance and prevention strategies, helping to reduce the risk of malignancies in high-risk populations.

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Publication Details

Journal
PLoS ONE
Published
2025-05-16
DOI
https://doi.org/10.1371/journal.pone.0323369
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Multivariable prediction of early malignancy detection among first-degree relatives of patients with hereditary colorectal cancer based on the health belief model: A cross-sectional study from the largest hereditary colorectal cancer cohort in China

Zhiyong Pan, Xiaojun Chen, Ming Zhong, Xiaodan Wu et al.
PLoS ONE
Colorectal Cancer Screening and Detection
article

Multivariable prediction of early malignancy detection among first-degree relatives of patients with hereditary colorectal cancer based on the health belief model: A cross-sectional study from the largest hereditary colorectal cancer cohort in China

Zhiyong Pan, Xiaojun Chen, Ming Zhong, Xiaodan Wu, Liyuan Yang
article en

Abstract

The uptake of malignancy early detection among FDRs should be improved. Some demographic and health-related characteristics, knowledge score, perceived susceptibility and self-efficacy were the most important predictors of malignancies early detection. Enhancing the recognition of clinical features of hereditary CRC and offering personalized genetic counseling, along with tailored cancer risk assessments, could further optimize individual cancer surveillance and prevention strategies, helping to reduce the risk of malignancies in high-risk populations.

PLoS ONEVol. 20(5)
Beijing University of Posts and Telecommunications (CN), Sun Yat-sen University (CN), University of Macau (MO), Yueyang Second People's Hospital (CN), Sun Yat-sen University Cancer Center (CN), State Key Laboratory of Oncology in South China, Guangzhou Medical University (CN)
Good health and well-being
Openalex Percentile: Top 84%
Colorectal Cancer Screening and Detection
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Multivariable prediction of early malignancy detection among first-degree relatives of patients with hereditary colorectal cancer based on the health belief model: A cross-sectional study from the largest hereditary colorectal cancer cohort in China — Zhiyong Pan, Xiaojun Chen, et al. · PLoS ONE (2025) | TGRS Research Map | TGRS