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Table. 1.

Table. 1.

Demographic characteristics of the study subjects

Demographic characteristics Total CLT Non-CLT
N=91 (100%) N=65 (71.4%) N=26 (28.6%)
Sex (N=81)
Male 30 (33.0) 24 (36.9) 6 (23.1)
Female 51 (56.0) 33 (50.8) 18 (69.2)
Age (N=81)
20’s 33 (40.7) 25 (43.9) 8 (33.3)
30’s 23 (28.4) 16 (28.1) 7 (29.2)
40’s 19 (23.5) 13 (22.8) 6 (25.0)
50’s 6 (7.4) 3 (5.3) 3 (12.5)
Career, year (N=91)
<1 13 (14.3) 8 (12.3) 5 (19.2)
1∼3 16 (17.6) 11 (16.9) 5 (19.2)
3∼5 15 (16.5) 12 (18.5) 3 (11.5)
5∼10 17 (18.7) 16 (24.6) 1 (3.8)
10∼15 13 (14.3) 7 (10.8) 6 (23.1)
≥15 17 (18.7) 11 (16.9) 6 (23.1)
Employment type (N=91)
Full-time 62 (68.1) 43 (66.2) 19 (73.1)
Part-time 29 (31.9) 22 (33.8) 7 (26.9)
Education (N=91)
Associate 33 (36.3) 19 (29.2) 14 (53.8)
Bachelor 47 (51.6) 36 (55.4) 11 (42.3)
Master 8 (8.8) 8 (12.3) 0 (0.0)
Doctor 1 (1.1) 1 (1.5) 0 (0.0)
Others 2 (2.2) 1 (1.5) 1 (3.8)
Area (N=91)*
Chungcheong 8 (8.8) 1 (1.5) 7 (26.9)
Gyeongsang 26 (28.6) 25 (38.5) 1 (3.8)
Incheon/Gyeonggi 25 (27.5) 22 (33.8) 3 (11.5)
Jeju 10 (11.0) 0 (0.0) 10 (38.5)
Jeolla 7 (7.7) 5 (7.7) 2 (7.7)
Seoul 15 (16.5) 12 (18.5) 3 (11.5)
Hospital type (N=89)
Primary 2 (2.2) 2 (3.1) 0 (0.0)
Secondary 26 (28.6) 18 (27.7) 8 (30.8)
Tertiary 57 (62.6) 40 (61.5) 17 (65.4)
Others 4 (4.4) 4 (4.4) 0 (0.0)
Occupation (N=91)*
CLT 65 (71.4) 65 (100) 0 (0.0)
Optician 15 (16.5) 0 (0.0) 15 (57.7)
Nurse 6 (6.6) 0 (0.0) 6 (23.1)
Nursing assistant 3 (3.3) 0 (0.0) 3 (11.5)
Others 2 (2.2) 0 (0.0) 2 (7.7)

Data are expressed as number (%) and are derived from the chi-square test.

Abbreviation: CLT, clinical laboratory technologist.

*P<0.05.

Korean J Clin Lab Sci 2022;54:224-38 https://doi.org/10.15324/kjcls.2022.54.3.224
© 2022 Korean J Clin Lab Sci