Table 1.
Baseline characteristics of the study population (n = 439).
| Characteristics | n (%) | Characteristics | n (%) |
|---|---|---|---|
| Age | Work experience | ||
| 18–24 years | 35 (8%) | 0–5 years | 131 (29,8%) |
| 25–35 years | 180 (41%) | 6–10 years | 77 (17,5%) |
| 36–46 years | 102 (23%) | 11–15 years | 65 (14,8%) |
| 47–57 years | 92 (21%) | 16–20 years | 37 (8,4%) |
| ≥58 years | 30 (6,8%) | 21–25 years | 29 (6,6%) |
| 26–30 years | 44 (10%) | ||
| Sex | ≥31 years | 56 (12,8%) | |
| Female | 280 (63.8%) | ||
| Male | 158 (36%) | Average weekly working hours | |
| Other | 1 (0.2%) | 6–10 h | 16 (3.6%) |
| 11–20 h | 39 (8.9%) | ||
| Marital status | 21–30 h | 74 (16.9%) | |
| Single | 120 (27.3%) | 31–40 h | 165 (37.6%) |
| In partnership, living together | 99 (22.6%) | 41–50 h | 101 (23%) |
| In partnership, living separated | 37 (8.4%) | 51–60 h | 28 (6.4%) |
| Married, living together | 151 (34.4%) | ≥61 h | 16 (3.6%) |
| Married, separated living | 9 (2.1%) | ||
| Other (e.g., widowed, divorced) | 23 (5.2%) | Contractually agreed weekly working h | |
| 6–10 h | 10 (2,3%) | ||
| Company size (number of employees) | 11–20 h | 56 (12,8%) | |
| ≤ 10 | 59 (13.4%) | 21–30 h | 76 (17,3 %) |
| 11–20 | 52 (11.8%) | 31–40 h | 262 (59,7%) |
| 21–199 | 97 (22.1%) | ≥41 h | 35 (8%) |
| 200–999 | 73 (16.6%) | ||
| 1,000–10,000 | 81 (18.5%) | Professional responsibility | |
| 10,000–50,000 | 34 (7.7%) | Without leadership responsibility | 329 (74,9%) |
| ≥50.000 | 43 (9.8%) | With leadership responsibility | 110 (25,1 %) |
| Highest level of education | Sector affiliation (multiple selection) | ||
| No degree | 3 (0.7%) | Automobile | 11 (2,5%) |
| Secondary modern school (year 5 to 9 in Germany) | 23 (5.2%) | Banking and finance | 17 (3,9%) |
| Junior high school (year 5 to 10 in Germany) | 86 (19.6%) | Education | 48 (10,9%) |
| General qualification for university entrance | 113 (25.7%) | Chemistry and pharma | 18 (4,1%) |
| Academic degree | 200 (45.6%) | Consulting and services | 88 (20%) |
| Other (e.g., doctorate / Ph.D., habilitation) | 14 (3,2%) | Electronic data processing and IT | 40 (9,1%) |
| Energy and environment | 6 (1,4%) | ||
| Type of employment | Health and social affairs | 127 (28,9%) | |
| Clerk | 309 (70,4%) | Trade and commerce | 32 (7,3%) |
| Worker | 37 (8,4%) | Handicraft | 20 (4,6%) |
| Apprentice | 14 (3,2%) | Manufacturing | 30 (6,8%) |
| Public official | 37 (8,4%) | Culture and Events | 12 (2,7%) |
| Intern | 2 (0,5%) | Public service | 52 (11,8%) |
| Self-employed | 40 (9,1%) | Textile and Fashion | 5 (1,1%) |
| Traffic, Transport and Logistics | 17 (3,9%) | ||
| Company size (number of employees) | Science | 17 (3,9%) | |
| ≤ 10 | 59 (13,4%) | Another sector | 34 (7,7%) |
| 11–20 | 52 (11,8%) | ||
| 21–199 | 97 (22,1%) | Tenure (years with the company) | |
| 200–999 | 73 (16,6%) | ≤ 5 years | 242 (55,1%) |
| 1.000–10.000 | 81 (18,5%) | 6–10 years | 80 (18,2%) |
| 10.000–50.000 | 34 (7,7%) | 11–15 years | 43 (9,8%) |
| ≥50.000 | 43 (9,8) | 16–20 years | 31 (7,1%) |
| 21–25 years | 15 (3,4%) | ||
| Vocational education (multiple selection possible) | 26–30 years | 14 (3,2 %) | |
| No vocational education | 111 (25.3%) | ≥31 years | 14 (3,2 %) |
| Vocational education (in-plant training) | 152 (34.6%) | ||
| Vocational qualification (vocational school education) | 121 (27.6%) | ||
| Completion of a professional school, technical school, master school,administration and business academy or specialized academy | 93 (21.2%) |