The association between Nutrient-Rich food score (NRFS) and the odds of lung cancer risk: a case-control study in Iran

The results showed that a high NRFS is associated with a decrease in lung cancer risk. After stratifying by sex, the association was the same for men, but null among women.

Authors

Institutions

Publication Details

Journal
BMC Nutrition
Published
2026-01-26
DOI
https://doi.org/10.1186/s40795-026-01243-1
Primary Topic
Nutritional Studies and Diet
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The association between Nutrient-Rich food score (NRFS) and the odds of lung cancer risk: a case-control study in Iran

Fatemeh Abdi, Sharareh Seifi, Amin Paydareh, Milad Mohammadzadeh et al.
BMC Nutrition
Nutritional Studies and Diet
article

The association between Nutrient-Rich food score (NRFS) and the odds of lung cancer risk: a case-control study in Iran

Fatemeh Abdi, Sharareh Seifi, Amin Paydareh, Milad Mohammadzadeh, Melika Mamaghanian, Alireza Bahrami, Saeid Hadi, Ehsan Hejazi, Vahid Hadi
article en

Abstract

The results showed that a high NRFS is associated with a decrease in lung cancer risk. After stratifying by sex, the association was the same for men, but null among women.

BMC NutritionVol. 12(1)
Tabriz University of Medical Sciences (IR), Aja University of Medical Sciences (IR), Masih Daneshvari Hospital (IR), National Nutrition and Food Technology Research Institute (IR), Shahid Beheshti University of Medical Sciences (IR)
Zero hunger
Openalex Percentile: Top 78%
Nutritional Studies and Diet
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.