Skip to content
DraconiticResearch
Search Sources API
184,937 studies31 sourcesUpdated 32 min ago
Peer-reviewedCC BYFrontiers in nutrition

Comparative associations of six predefined dietary patterns with site-specific cancer risk in the UK Biobank.

2 more authors
  1. 1Department of Urology, First Hospital of Shanxi Medical University, Taiyuan, China.
  2. 2School of Public Health, Shanxi Medical University, Taiyuan, China.

Abstract

Background

Previous studies on diet and cancer have mainly examined individual dietary indices in relation to specific cancer outcomes, limiting direct comparison across dietary patterns. A unified population with consistent adjustment and standardized dietary-index scales is needed to explore whether different dietary patterns show different statistical associations with each specific cancer outcome.Methods

We included 118,056 cancer-free UK Biobank participants with at least two valid 24-h dietary assessments. Six predefined dietary indices were evaluated: DRLCD, aMED, AHEI-2010, DASH, CDAI, and E-DII. All indices were standardized to enable direct comparison. Progressively adjusted Cox regression models and 1-, 3-, and 5-year lagged sensitivity analyses were used as the primary analysis to identify the most stable diet-cancer outcome pairs. In the exploratory analysis, after excluding potential non-linear associations, standardized dietary indices were compared for colorectal, kidney, and lung cancers in the overall population and high genetic risk group to compare the direction and magnitude of associations across dietary patterns for each cancer outcome.Results

Eleven robust diet-cancer associations were identified. AHEI-2010 and DASH were inversely associated with colorectal cancer; AHEI-2010, aMED, CDAI, DASH, and reversed E-DII were inversely associated with kidney cancer; AHEI-2010, aMED, and reversed E-DII were inversely associated with lung cancer; and reversed E-DII was associated with lower overall cancer risk. DRLCD showed no robust association. In cross-index comparisons, the lowest HRs in the overall population were for DASH (colorectal cancer), reversed E-DII (kidney cancer), and AHEI-2010 (lung cancer); in the higher PRS group, they were for DASH (colorectal cancer), AHEI-2010 (kidney cancer), and reversed E-DII (lung cancer). However, bootstrap pairwise comparisons were not statistically significant, suggesting directional trends, not evidence of superiority.Conclusion

We identified significant and stable diet-cancer risk associations and observed differences in the direction or magnitude of associations across dietary indices. Because bootstrap pairwise comparisons were not statistically significant, these findings should be interpreted as directional trends and hypothesis-generating, not as evidence of a definitively optimal dietary strategy or dietary superiority.

Related

  1. Temporal Transitions in Dietary Patterns and Their Associations with Overweight and Obesity Among Middle-Aged and Older Adults in Southern China: Evidence from Four Rounds of Nutrition Surveillance, 2002–2022
    Shuaijing Zhang, Yunkai Lin, Jianhang Li +8
    NutrientsPeer-reviewedCC BYFull textNutritionEurope PMC
  2. Yield of Low Serum Vitamin B12 Results in General Pediatric Outpatient Practice: Age-Specific Patterns and Associations with Testing Indications and Recorded Clinical Features
    Timucin Imdadoglu, Emel Altuncu, Elif Betul Keskin Cetinkaya +3
    Diagnostics (Basel, Switzerland)Peer-reviewedCC BYFull textGeneral medicineEurope PMC
  3. Associations of Dietary Patterns, Daily Nutrient Intakes, and Food-Group Intakes with Hyperglycemia in Patients Undergoing Chemotherapy
    Kyung Hee Lim, Jiyeong Kim
    NutrientsPeer-reviewedCC BY 4.0Epidemiology & public healthCrossref
  4. Breakfast Dietary Patterns and Their Associations with Metabolic Indicators and NAFLD Severity: A Cross-Sectional Study Among Iranian Adults.
    Mehrdad Kianmehr, Maryam Rafraf, Alireza Hosseini +2
    Health promotion perspectivesPeer-reviewedCC BYFull textEpidemiology & public healthEurope PMCPMC
  5. Associations of high-carbohydrate and high-fat dietary patterns with obesity in Thai adults: A cross-sectional analysis with gender comparisons
    Sakawrut Poosri, Natnicha Promyos, Kamparnart Kaewyai +6
    Scientific ReportsPeer-reviewedCC BYFull textEpidemiology & public healthDOAJ
BibTeX
@article{gao2026comparative,
  title = {{Comparative associations of six predefined dietary patterns with site-specific cancer risk in the UK Biobank.}},
  author = {Long Gao and Pei Feng and Guofeng Shi and Yu Li and Bochen Ma and Chenqi Zhang and Yu Chen and Shaonan Li and Jingxi Hu and Liqiang Wang and Xiaoting Yan and Pengliang Shen and XiaoMing Cao and Bo Wu},
  journal = {Frontiers in nutrition},
  year = {2026},
  month = oct,
  doi = {10.3389/fnut.2026.1976233},
  url = {https://europepmc.org/article/MED/42923123},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Comparative associations of six predefined dietary patterns with site-specific cancer risk in the UK Biobank.
AU  - Long Gao
AU  - Pei Feng
AU  - Guofeng Shi
AU  - Yu Li
AU  - Bochen Ma
AU  - Chenqi Zhang
AU  - Yu Chen
AU  - Shaonan Li
AU  - Jingxi Hu
AU  - Liqiang Wang
AU  - Xiaoting Yan
AU  - Pengliang Shen
AU  - XiaoMing Cao
AU  - Bo Wu
PY  - 2026
DA  - 2026/10/08
JO  - Frontiers in nutrition
DO  - 10.3389/fnut.2026.1976233
UR  - https://europepmc.org/article/MED/42923123
AB  - Background  Previous studies on diet and cancer have mainly examined individual dietary indices in relation to specific cancer outcomes, limiting direct comparison across dietary patterns. A unified population with consistent adjustment and standardized dietary-index scales is needed to explore whether different dietary patterns show different statistical associations with each specific cancer outcome.Methods  We included 118,056 cancer-free UK Biobank participants with at least two valid 24-h dietary assessments. Six predefined dietary indices were evaluated: DRLCD, aMED, AHEI-2010, DASH, CDAI, and E-DII. All indices were standardized to enable direct comparison. Progressively adjusted Cox regression models and 1-, 3-, and 5-year lagged sensitivity analyses were used as the primary analysis to identify the most stable diet-cancer outcome pairs. In the exploratory analysis, after excluding potential non-linear associations, standardized dietary indices were compared for colorectal, kidney, and lung cancers in the overall population and high genetic risk group to compare the direction and magnitude of associations across dietary patterns for each cancer outcome.Results  Eleven robust diet-cancer associations were identified. AHEI-2010 and DASH were inversely associated with colorectal cancer; AHEI-2010, aMED, CDAI, DASH, and reversed E-DII were inversely associated with kidney cancer; AHEI-2010, aMED, and reversed E-DII were inversely associated with lung cancer; and reversed E-DII was associated with lower overall cancer risk. DRLCD showed no robust association. In cross-index comparisons, the lowest HRs in the overall population were for DASH (colorectal cancer), reversed E-DII (kidney cancer), and AHEI-2010 (lung cancer); in the higher PRS group, they were for DASH (colorectal cancer), AHEI-2010 (kidney cancer), and reversed E-DII (lung cancer). However, bootstrap pairwise comparisons were not statistically significant, suggesting directional trends, not evidence of superiority.Conclusion  We identified significant and stable diet-cancer risk associations and observed differences in the direction or magnitude of associations across dietary indices. Because bootstrap pairwise comparisons were not statistically significant, these findings should be interpreted as directional trends and hypothesis-generating, not as evidence of a definitively optimal dietary strategy or dietary superiority.
SN  - 2296-861X
ER  -