Table 1.
Redundancy analysis coupled with model selection identifies lifestyle factors that associate with microbiome diversity
| F | p-value | |
|---|---|---|
| Fecal | ||
| Bristol Score | 1.27 | 1.80E-02 |
| Age | 1.31 | 2.70E-02 |
| Processed Meat | 1.55 | 3.30E-02 |
| Fruit | 1.85 | 1.10E-02 |
| Grain | 1.55 | 3.80E-02 |
| Regular Activity | 2.52 | 1.00E-03 |
| Alcohol use | 1.57 | 3.20E-02 |
| Diabetes | 1.36 | 2.70E-02 |
| Vitamin D | 1.75 | 1.10E-02 |
| Hormone Therapy | 1.79 | 1.40E-02 |
| Oral | ||
| Bristol Score | 1.45 | 8.00E-03 |
| BMI | 3.31 | 2.00E-03 |
| Red Meat | 1.66 | 6.80E-02 |
| Calcium | 2.41 | 1.50E-02 |
| Mucosal | ||
| Age | 1.41 | 1.30E-02 |
| Adenoma | 2.44 | 5.00E-03 |
| Fruit | 1.89 | 7.00E-03 |
| Diabetes | 1.98 | 2.00E-03 |
| Vitamin D | 1.45 | 4.60E-02 |
| Hormone Therapy | 1.75 | 1.70E-02 |
F-statistic and p-value generated using an ANOVA-like permutation test (R::vegan::anova.cca) for each predictor retained after model selection. False discover rate was controlled at 0.1. Factors evaluated were age; bristol score; gender; body mass index (BMI); regular activity; number of polyps; number of adenomas; consumption of red meat, vegetable, fruit, grain, processed meat, fermented food, alcoholic beverages; diseases including: gastroesophageal reflux disease (GERD), cancer, autoimmune disease, diabetes, other gastrointestinal disorders; and medications including: ASA, NSAID, Vitamin D, Vitamin E, Calcium, metformin, hormone replacement therapy and probiotics