Table 2.
Demographic characteristics of the participants
| Baseline Survey(N = 310) | Follow-up Survey(N = 86) | |||
|---|---|---|---|---|
| n (%) | Mean (SD) | n (%) | Mean (SD) | |
| Gender | ||||
| Men | 155 (50.0) | 40 (46.5) | ||
| Women | 155 (50.0) | 46 (53.5) | ||
| Age | 44.9 (13.6) | 45.8 (13.0) | ||
| Educational status | ||||
| Junior high school | 4 (1.3) | 0 (0.0) | ||
| High school | 86 (27.7) | 30 (34.9) | ||
| College | 73 (23.5) | 19 (22.1) | ||
| University | 132 (42.6) | 35 (40.7) | ||
| Graduate school | 16 (5.2) | 2 (2.3) | ||
| Employment status | ||||
| Full-time | 156 (50.3) | 47 (54.7) | ||
| Part-time | 91 (29.4) | 25 (29.1) | ||
| Contract/Dispatched | 28 (9.0) | 6 (7.0) | ||
| Freelance | 28 (9.0) | 7 (8.1) | ||
| Other | 7 (2.2) | 1 (1.2) | ||
| Employment shift status | ||||
| Day shift | 281 (90.7) | 79 (91.9) | ||
| Rotation/night shift | 29 (9.4) | 7 (8.2) | ||
| Job type | ||||
| Managerial | 26 (8.4) | 8 (9.3) | ||
| Professional/Technical | 56 (18.1) | 13 (15.1) | ||
| Clerical | 69 (22.3) | 21 (24.4) | ||
| Sales | 40 (12.9) | 5 (5.8) | ||
| Services | 56 (18.1) | 16 (18.6) | ||
| Transport/Construction | 12 (3.9) | 2 (2.4) | ||
| Production/Skilled | 31 (10.0) | 13 (15.1) | ||
| Other | 20 (6.5) | 8 (9.3) | ||
| Job category | ||||
| Services | 58 (18.7) | 20 (23.3) | ||
| Manufacturing | 51 (16.5) | 16 (18.6) | ||
| Medical/Welfare | 33 (10.6) | 7 (8.1) | ||
| Retail | 31 (10.0) | 6 (7.0) | ||
| Education | 20 (6.5) | 9 (10.5) | ||
| Construction | 20 (6.5) | 3 (3.5) | ||
| Transport | 16 (5.2) | 4 (4.7) | ||
| Public service | 15 (4.8) | 3 (3.5) | ||
| Financial/Insurance | 14 (4.5) | 5 (5.8) | ||
| Information | 13 (4.2) | 3 (3.5) | ||
| Other | 39 (12.6) | 10 (11.6) | ||
| Size of worksite | ||||
| ≤49 employees | 146 (47.1) | 37 (43.0) | ||
| 50-299 employees | 64 (20.6) | 21 (24.4) | ||
| ≥300 employees | 84 (27.1) | 26 (30.2) | ||
| Unknown | 16 (5.2) | 2 (2.3) | ||