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Ultra-Processed Food Study Finds Higher Risk of Cancer and Death

A variety of ultra-processed foods including sugary drinks and packaged snacks
Ultra-Processed Food Study Finds Higher Risk of Cancer and Death
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A major scientific analysis of nearly 8.8 million adults has linked higher consumption of ultra-processed foods to increased rates of chronic health conditions and all-cause mortality.

The research was published Sept. 22 in the journal Family Medicine and Community Health.

The study pooled data from 51 prospective cohort studies that tracked adult health outcomes over periods ranging from two to 32 years.

Researchers evaluated health metrics against intake levels defined by the industrial food classification framework known as the NOVA system.

Participants reporting the highest intake of ultra-processed items experienced elevated relative rates of cardiovascular events, cancer, obesity, metabolic syndrome, depression, digestive diseases, and premature death compared to those in the lowest consumption tier.

Specific statistical findings showed high intake was tied to a 24% higher relative rate of cardiovascular events and an 18% higher relative rate of death from any cause.

Researchers noted these figures represent comparative averages across varied studies rather than individual personal risks.

Dose-response evaluations indicated that every additional 100 grams of daily ultra-processed food consumption corresponded to a 14% higher relative rate of cardiovascular events and a 4% higher relative rate of cancer.

The same incremental increase was associated with a 2% higher relative rate of diabetes or metabolic syndrome and a 3% higher relative rate of overall mortality.

The NOVA classification system categorizes foods by their degree of industrial transformation, encompassing sugary beverages, packaged snacks, and processed meats alongside items with differing nutrient profiles like certain breads, yogurts, and chocolates.

The analysis could not identify specific individual foods or chemical ingredients responsible for the observed health patterns.

Several methodological limitations were identified by the study authors, including reliance on self-reported dietary questionnaires, which are prone to misclassification.

Additionally, because the underlying research consisted of observational studies, unmeasured socioeconomic and lifestyle factors such as income, exercise, and smoking could partially account for the health outcomes.

Independent experts reviewing the data for the Science Media Centre noted similar concerns regarding dietary reporting limits and broad food category definitions.

The study's authors ultimately rated the certainty of most findings as low, citing moderate evidence certainty only for obesity and very low certainty for hypertension.

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