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. 2024 Jul 15;14:16265. doi: 10.1038/s41598-024-67110-w

Table 5.

Principal component analysis (PCA) for urban vulnerable population (n = 54).

Components
1 2 3 4 5
Eigenvalue 2.575 2.112 1.606 1.372 1.34
% of Variances 18.396 15.087 11.469 9.801 9.572
Cumulative % 18.396 33.483 44.951 54.752 64.324
Rotated factor pattern: Varimax rotation method
Variables
Health morbidity 0.855 −0.047 0.274 −0.002 0.025
Medicine intake 0.848 0.002 0.26 0.054 0.062
Age 0.675 0.133 −0.258 −0.152 0.001
Occupation type 0.029 0.828 −0.081 0.118 −0.097
Ceiling availability 0.111 −0.742 −0.057 0.325 −0.02
Residency duration 0.198 0.683 0.268 0.183 −0.12
Ceiling height −0.253 −0.017 −0.749 −0.132 0.332
Building age 0.018 0.105 0.712 −0.219 0.211
Body mass index (BMI) 0.021 0.068 0.058 −0.757 0.146
Educational level −0.459 0.041 0.381 0.522 0.07
Gender 0.066 -0.407 0.287 −0.516 −0.174
Smoking 0.03 -0.015 −0.045 0.305 0.816
Daily water intake (liter) −0.188 0.072 −0.208 0.284 −0.594
Physical activity level 0.125 0.107 0.184 0.316 −0.485

Variable is significantly loaded at ≥ 0.4.

Extraction Method: Principal Component Analysis (Eigenvalue > 1.0).

Rotation Method: Varimax with Kaiser Normalization.

KMO value: 0.504, Bartlett’s test: p  < 0.001.