Data Sheet 2_Association of ultra-processed food consumption with all-cause and cause-spec
by Ya-Dong Li·Updated 8d ago
196.1 KB1files
Available on 1 platform
Sign in to view source links and access this dataset
Description
82,221 participants from the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial were followed for a median of 17 years. The data, published by Ya-Dong Li in 2026, links dietary intake assessed via questionnaires to all-cause and cause-specific mortality outcomes. It includes associations between ultra-processed food consumption and mortality from circulatory, nervous system, and other diseases.
Use Cases
Modeling all-cause mortality risk based on ultra-processed food consumption levels.
Investigating the interaction between diet quality (HEI-2015 score) and processed food intake on health outcomes.
Analyzing cause-specific mortality (e.g., circulatory, nervous system diseases) in relation to dietary factors.
Strengths
82,221 participant records provide a substantial cohort size.
Median follow-up period of 17 years offers long-term outcome 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 geographic and temporal bias inherent to the specific cohort trial.
Provenance
Source
Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial.
Collection Method
Dietary intake assessed via Baseline Questionnaire (BQ) and Dietary History Questionnaire (DHQ); mortality outcomes ascertained from records.
Time Range
Baseline data collected 1993–2001, with a median 17-year follow-up.
Freshness
Last updated 2026-05-28 04:51:23; freshness should be verified.
Dataset is a 196.1 KB PDF file; data extraction and structuring will be required for analysis.