Abstract
Objectives: The population attributable fraction (PAF), an epidemiologic measure of exposures and health outcomes, can provide information on the public health impacts of exposures in populations. This study aimed to systematically summarize the PAF estimates of modifiable cancer risk factors in Korea. Methods: This review included studies that determined PAFs of modifiable risk factors for cancer in Korea. We performed systematic searches in EMBASE, MEDLINE, Cochrane library, and Korean databases for studies published up to July 2021. Two reviewers independently screened studies for eligibility, extracted data, and performed quality assessments of the included studies. Due to high variability among the data acquisition methods and PAF estimates, we presented the results qualitatively and did not perform quantitative data synthesis. Results: We reviewed 16 studies that reported the PAFs of risk factors for cancer, including smoking, alcohol consumption, obesity, and various cancer sites. We found considerable variability in the PAF estimates across exposure and cancer pairs. However, PAF estimates for smoking and respiratory cancer were consistently high in men. PAF estimates were higher in men than in women for smoking and alcohol consumption but higher in women for obesity. We found limited evidence for other exposures and cancers. Conclusion: Our findings may be used to prioritize and plan strategies to reduce cancer burden. We encourage further and updated assessments of cancer risk factors, including those not addressed in the studies included in this review, and their potential contributions to cancer burden to better inform strategies for cancer control.
Original language | English |
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Pages (from-to) | 299-314 |
Number of pages | 16 |
Journal | Asia-Pacific Journal of Clinical Oncology |
Volume | 20 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2024 Apr |
Bibliographical note
Publisher Copyright:© 2023 John Wiley & Sons Australia, Ltd.
All Science Journal Classification (ASJC) codes
- Oncology