Modified WCRF/AICR Score and All-Cause, Digestive System, Cardiovascular, Cancer and Other-Cause-Related Mortality: A Competing Risk Analysis of Two Cohort Studies Conducted in Southern Italy

Nutrients. 2021 Nov 10;13(11):4002. doi: 10.3390/nu13114002.

Abstract

Background: In real life, nutrition goes beyond purely biological domains. Primary prevention is the most efficient approach for reducing the risk of mortality. We aimed to study the association of lifestyle, as measured by a modified World Cancer Research Fund/American Institute for Cancer Research (mWCRF/AICR) scoring system with all-cause, digestive system disease-related (DSD-related), cardiovascular disease-related (CVD-related), cancer-related and other cause-related mortality using data from two population-based cohort studies conducted in Southern Italy.

Methods: A random sample of 5271 subjects aged 18 years or older was enrolled in 2005-2006 and followed up until 2020. Usual food intakes were estimated using a validated dietary questionnaire. Competing risks survival models were applied.

Results: High adherence to the mWCRF/AICR score was found to be statistically significant and negatively associated with all-cause mortality (HR 0.56, 95%CI 0.39; 0.82), DSD-related mortality (SHR 0.38, 95%CI 0.15; 0.97) and cancer-related mortality (SHR 0.43, 95%CI 0.19; 0.97) in the male sub-cohort and other-cause mortality (SHR 0.43, 95%CI 0.21; 0.88) only in the female group.

Conclusions: This mWCRF/AICR score can be seen as a simple, easy tool for use in clinical practice to evaluate both qualitative and quantitative aspects of the diet.

Keywords: high adherence; lifestyle score; rate of mortality; sub-distribution hazard ratio.

MeSH terms

  • Adult
  • Aged
  • Cardiovascular Diseases / mortality*
  • Cardiovascular Diseases / prevention & control
  • Cohort Studies
  • Digestive System*
  • Female
  • Humans
  • Italy
  • Life Style
  • Male
  • Middle Aged
  • Neoplasms / mortality*
  • Neoplasms / prevention & control
  • Risk Assessment
  • Risk Factors
  • Surveys and Questionnaires