Abstract
Methods: Our data included 1,228 adults aged 25–64 years from the National FINRISK/FINDIET 2002 Study. Information on lifestyle and background factors was obtained through self-administered questionnaires. Dietary data were gathered using a 48-h dietary recall. CRC-related lifestyles were modelled using a CRC lifestyle index based on nine major risk factors for CRC. Lower index points reflected higher-risk lifestyles. The gut microbiome profiles were analyzed using shallow shotgun metagenome sequencing. Associations between the index and microbial diversity and composition were assessed using, e.g., linear regression and permutational multivariate ANOVA adjusted for relevant confounders.
Results: The index explained 0.2% of the variation in microbial composition between participants (p < 0.05). Higher-risk lifestyles for CRC were associated with lower microbial diversity (β 0.037, p 0.009). Higher-risk lifestyles were also associated with a higher relative abundance of species representing primarily the family Lachnospiraceae and genera such as Dorea and Mediterraneibacter, and lower relative abundance of species within the genus Bifidobacterium (< 0.0001).
Conclusions: Participants with higher- and lower-risk lifestyles showed clear differences in their gut microbiome diversity and composition, higher-risk lifestyles being associated with potentially adverse microbial traits. These findings contribute to identifying microbial features that may characterize early stages of CRC development in individuals with high-risk lifestyles.
| Original language | English |
|---|---|
| Article number | 58 |
| Number of pages | 14 |
| Journal | Cancer Causes and Control |
| Volume | 37 |
| Issue number | 4 |
| Early online date | 11 Mar 2026 |
| DOIs | |
| Publication status | Published - 30 Apr 2026 |
Data Availability Statement
The datasets analyzed during the current study will be made available upon request pending application and approval through the Findata Permit Procedure at https://www.findata.fi/en/ or through a written application to the Finnish Institute for Health and Welfare Biobank (https://thl.fi/en/web/thl-biobank).Acknowledgements
The authors thank the participants and staff of all cohorts in this study.Funding
Open Access funding provided by Finnish Institute for Health and Welfare. This research was supported by the Juho Vainio Foundation (RT; Grant Number 202400258) and Yrjö Jahnsson Foundation (RT; Grant Number 20237712). In addition, this research was part of the Leg4Life Project (Legumes for Sustainable Food System and Healthy Life) funded by the Strategic Research Council at the Research Council of Finland (Grant Numbers 327698, 327699, 352481, and 352483). The authors declare that the funders had no role in the design, analysis, or writing of this article.
| Funders | Funder number |
|---|---|
| Terveyden ja hyvinvoinnin laitos | |
| Research Council of Finland | 352481, 352483, 327698, 327699 |
| Juho Vainion Säätiö | 202400258 |
| Yrjö Jahnssonin Säätiö | 20237712 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Diet
- Epidemiology
- Lifestyle index
- Obesity
- Physical activity
- Prevention
ASJC Scopus subject areas
- Oncology
- Cancer Research
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