4.6 Article

Factors Associated with the Uptake of Genetic Testing for Cancer Risks: A Pathway Analysis Using the Health Information National Trends Survey Data

期刊

LIFE-BASEL
卷 12, 期 12, 页码 -

出版社

MDPI
DOI: 10.3390/life12122024

关键词

pathway analysis; cancer risk; health behavior; genetic testing uptake; information source; perception of cancer; attitude towards cancer; psychosocial factor; HINTS; cross-sectional study

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Our study aimed to identify pathways from the source of information to the uptake of cancer genetic testing, with consideration of intermediate variables including perceptional, attitudinal, and psychosocial factors. Our findings suggest that only information from particular sources, such as healthcare providers and genetic counselors, had positive and significant effects on people's perceptions of cancer regarding its prevention, detection, and treatment. Attitudinal and psychosocial factors showed much smaller or insignificant effects on the uptake of genetic testing.
Our study aimed to identify pathways from the source of information to the uptake of cancer genetic testing, with consideration of intermediate variables including perceptional, attitudinal and psychosocial factors. We used the Health Information National Trends Survey (2020 database) and constructed a structural equation model for pathway analysis (using SPSS version 24). Variables for socio-demographic, lifestyle and health information were also collected and used for confounding adjustment. A total of 2941 participants were analyzed (68.5%, non-Hispanic white; 59.7%, females; 58 years, median age; and 142 (4.8%) had undertaken genetic testing for cancer risk previously). Our pathway analysis found that only information from particular sources (i.e., healthcare providers and genetic counsellors) had positive and significant effects on people's perceptions of cancer regarding its prevention, detection and treatment (standardized beta range, 0.15-0.31, all p-values < 0.01). Following the paths, these perceptional variables (cancer prevention, detection and treatment) showed considerable positive impacts on the uptake of genetic testing (standardized beta (95% CIs): 0.25 (0.20, 0.30), 0.28 (0.23, 0.33) and 0.12 (0.06, 0.17), respectively). Pathways involving attitudinal and psychosocial factors showed much smaller or insignificant effects on the uptake of genetic testing. Our study brings several novel perspectives to the behavior model and may underpin certain issues regarding cancer risk genetic testing.

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