Researchers from Harvard and Mass General Brigham report in JAMA Oncology that, in a 24‑year analysis of 29,105 women from the Nurses’ Health Study II, those consuming the most ultraprocessed foods (about 10 servings/day) had a 45% higher risk of developing conventional adenomas—precursors to early‑onset colorectal cancer—than those with the lowest intake (about 3 servings/day); average intake was 5.7 servings/day, equating to roughly 35% of calories. The association persisted after adjusting for BMI, type 2 diabetes, low fiber intake and other known risk factors, and was specific to conventional adenomas rather than serrated lesions. The authors say the results bolster calls to reduce ultraprocessed‑food consumption as a potential strategy to mitigate rising early‑onset colorectal cancer but caution diet does not fully explain the trend and further research to refine food classifications and identify other causes is ongoing.
Harvard and Mass General Brigham researchers report in JAMA Oncology that a 24-year analysis of 29,105 women in the Nurses’ Health Study II found those consuming the most ultraprocessed foods (≈10 servings/day) had a 45% higher risk of conventional adenomas—precursors linked to early-onset colorectal cancer—versus those consuming the least (≈3 servings/day); average intake was 5.7 servings/day, accounting for ~35% of calories, and 2,787 participants developed precursor polyps. The association remained after adjustment for body mass index, type 2 diabetes, low fiber intake and other measured risk factors, while no link was found with serrated lesions; diet was self-reported but the survey instrument has prior validation. The cohort is women born 1947–1964 who underwent at least two lower endoscopies before age 50, so findings specifically address early-onset colorectal cancer risk in this demographic, and the authors caution ultraprocessed foods do not fully explain the rising trend. Research continuity and efforts to better classify ultraprocessed foods (study funded by the National Cancer Institute) imply further refinement of risk attribution, creating potential near- to medium-term catalysts for public-health guidance, screening demand and consumer behavior shifts.
AI-powered research, real-time alerts, and portfolio analytics for institutional investors.
Request a DemoOverall Sentiment
moderately negative
Sentiment Score
-0.40