PLCO Cohort Study on Ultra-Processed Food Consumption and Mortality

Ya-Dong Li published a dataset from the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial on figshare in 2026. It contains data on 82,221 participants, linking dietary intake assessed between 1993 and 2001 to mortality outcomes over a median 17-year follow-up. The dataset likely includes participant demographics, dietary intake classified by the NOVA system, and mortality records.

Use Cases

• Analyze associations between ultra-processed food consumption and all-cause mortality based on hazard ratios.
• Investigate the relationship between diet quality (HEI-2015) and mortality risk within high UPF consumption groups.
• Study cause-specific mortality risks, such as circulatory or nervous system diseases, linked to dietary patterns.

Strengths

• 82,221 participants provide a substantial cohort size.
• Median follow-up period of 17 years offers long-term observational data.
• Dietary intake was assessed using validated questionnaires (BQ and DHQ).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal bias inherent to the 1993-2001 baseline period.

Provenance

Source

Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial.

Collection Method

Dietary intake assessed via questionnaires, with UPF intake defined by the NOVA classification system.

Time Range

Baseline data collected 1993-2001, with mortality follow-up.

Freshness

Last updated 2026-05-28 04:51:22; freshness should be verified.