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Table 1 Redundancy analysis coupled with model selection identifies lifestyle factors that associate with microbiome diversity

From: Dietary and lifestyle associations 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

  1. 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
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Gut Pathogens

ISSN: 1757-4749