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Table 3 Differences in beta-diversity, using the Bray-Curtis dissimilarity matrix, between groups of low, medium and high use of antimicrobials (AM) for all AMs combined, and separately for amoxicillin, azithromycin, amoxicillin-clavulanate and phenoxymethylpenicillin, in all children and separately for boys and girls with PERMANOVA

From: Antimicrobial drug use in the first decade of life influences saliva microbiota diversity and composition

Prescriptions

Pairwise (n)

All children

Boys (n = 375)

Girls (n = 433)

P

P

P

All AM

 

0.033a

0.034a

0.416a

 

Low (291)–Medium (392)

0.174

0.110

0.607

 

Low (291)–High (125)

0.366

0.263

0.415

 

Medium (392)–High (125)

0.569

0.808

0.325

Amoxicillin

 

0.094a

0.001a

0.487a

 

Low (252)–Medium (402)

0.802

0.092

0.944

 

Low (252)–High (154)

0.352

0.011

0.375

 

Medium (402)–High (154)

0.757

0.288

0.569

Azithromycin

 

0.006a

0.024a

0.273a

 

Low (278)–Medium (399)

0.067

0.075

0.092

 

Low (278)–High (131)

0.219

0.252

0.256

 

Medium (399)–High (131)

0.370

0.562

0.713

Amoxicillin-clavulanate

 

0.256a

0.877a

0.304a

 

Low (389)–Medium (267)

0.897

0.778

0.876

 

Low (389)–High (152)

0.202

0.281

0.633

 

Medium (267)–High (152)

0.455

0.421

0.437

Phenoxymethylpenicillin

 

0.197a

0.504a

0.574a

 

Low (568)–Medium (135)

0.655

0.710

0.708

 

Low (568)–High (105)

0.187

0.410

0.276

 

Medium (135)–High (105)

0.738

0.802

0.347

  1. Significant results in bold
  2. Adjusted for age, gender (not in gender-specific analysis), language and depth
  3. p values adjusted for all pairwise PERMANOVA analyses with Benjamini-Hochberg method
  4. aPERMANOVA analysis with all (low, medium and high) AM groups