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Table 1 Summary results of health models for the unsupervised methods: (K-means clustering, hierarchical clustering, PCA, and EFA)

From: An overview of methods to address distinct research questions on environmental mixtures: an application to persistent organic pollutants and leukocyte telomere length

Variable

β

95% CI

P-value

K-means clustering

   

Cluster 1 (high exposure)

0.08

0.03, 0.13

0.001

Cluster 2 (medium exposure)

0.05

0.02, 0.09

0.005

Cluster 3 (low exposure)

Reference

—

Hierarchical clustering

   

Cluster 1 (high exposure)

0.05

0.01, 0.10

0.03

Cluster 2 (medium exposure)

0.03

-0.00, 0.07

0.06

Cluster 3 (low exposure)

Reference

—

Principal Component Analysis

   

PC1

-0.01

-0.02, -0.01

<0.001

PC2

0.001

-0.01, 0.01

0.87

PC3

0.002

-0.01, 0.02

0.76

Exploratory Factor Analysis

   

FA1

-0.003

-0.03, 0.03

0.86

FA2

0.03

0.00, 0.05

0.02

FA3

0.03

0.01, 0.05

0.01

FA4

-0.02

-0.04, 0.00

0.06