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. 2024 Dec 6;14:30419. doi: 10.1038/s41598-024-81931-9

Table 1.

The number of samples with detected MPs and the distribution of the number of MP particles by µ-FTIR, according to the characteristics.

N (%) Detected samples Number of total MPs (N/ml)
N (%) P Mean P *
Total 36 (100.0) 32 (88.9) 4.3
Gender
Male 10 (27.8) 9 (90.0) 0.895 2.4 0.128
Female 26 (72.2) 23 (88.5) 5.0
Age
< 40 17 (47.2) 16 (94.1) 0.345 6.2 0.078
≥ 40 19 (52.8) 16 (84.2) 2.5
Education
College or below 22 (61.1) 19 (86.4) 0.546 5.7 0.045
Above college 14 (38.9) 13 (92.9) 2.0
Job
White collar 32 (88.9) 28 (87.5) 0.755 4.4 0.944
Blue collar 2 (5.6) 2 (100) 2.5
No 2 (5.6) 2 (100) 3.0
Marital status
Single 10 (27.8) 9 (90.0) 0.895 5.2 0.999
Married 26 (72.2) 23 (88.5) 3.9
Smoking
Never 33 (91.7) 30 (90.9) 0.201 4.5 0.284
Former 3 (8.3) 2 (66.7) 1.7
Alcohol
No 9 (25.0) 9 (100) 0.221 6.6 0.202
Yes 27 (75.0) 23 (85.2) 3.5
Physical inactivity
No 12 (33.3) 10 (83.3) 0.453 4.6 0.635
Yes 24 (66.7) 22 (91.7) 4.1

*Wilcoxon rank-sum test (or Kruskal–Wallis rank-sum test) was performed to test the differences in the number of MPs in the blood samples by group. Chi-square tests were performed to test for differences in MP detection.