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Ultra-Processed Products and Risk of Liver Cancer: A Prospective Cohort Study

Long-Gang Zhao, Xin-Yuan Zhang, Danxia Yu, Lei Wang, M. Shrubsole, Wei Zheng, S. Sudenga, Xue-Hong Zhang

Clinical Nutrition, 2024

73,119 participants · 12 citations

Abstract

Background & Aims Several studies have shown positive associations between ultra-processed foods and drinks and cancer risk. However, evidence remains limited for liver cancer. We aimed to evaluate the associations between ultra-processed foods and drinks and liver cancer risk. Methods We included 73,119 participants (22,431 Whites, 47,837 Blacks, 2851 other race) from the Southern Community Cohort Study. Ultra-processed products were defined based on the Nova classification using data from a validated food frequency questionnaire and calculated as percentage of daily foods by weight. Incident liver cancer and vital status were ascertained via linkages to state cancer registries and the National Death Index as of December 31, 2019. Results With a median of 13.9 year’s follow-up, we documented 453 incident liver cancer cases. Participants with higher intake of ultra-processed foods had an elevated risk of liver cancer (hazard ratios [HR] Tertile 3 vs. tertile 1 1.69, 95% confidence intervals [CI]: 1.28-2.22; P trend<0.001). The subclasses of ultra-processed foods, such as ultra-processed grains and fried potatoes (HR T3 vs. T1 1.29, 95% CI: 1.01-1.65; P trend=0.03), processed protein foods (HR T3 vs. T1 1.49, 95% CI: 1.14-1.94; P trend=0.007) and mixed dishes (HR T3 vs. T1 1.39, 95% CI: 1.09-1.77; P trend=0.01), were positively associated with liver cancer risk. No significant association was found for ultra-processed drinks (HR T3 vs. T1 0.85, 95% CI: 0.67-1.07; P…

How strong is the evidence?

Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 73,119 participants or records.

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