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Table 1 Sample characteristics (N = 1002)

From: Normative data for the EORTC QLQ-C30 from the Austrian general population

  Unweighted data Weighted data
Sex N (%) Female 502 (50.1%) 515 (51.4%)
Male 500 (49.9%) 487 (48.6%)
Age (years) M (SD) 53.7 (15.3) 47.7 (17.3)
  Median (IQR) 54 (43–67) 48 (33–62)
Educationa N (%) Less than compulsory (no or some primary education) 1 (0.1%) 3 (0.3%)
Compulsory (about 9 years of schooling) 128 (12.9%) 118 (11.9%)
Some post-compulsory (above 9 years of schooling without reaching university entrance certificate) 234 (23.6%) 221 (22.3%)
Post-compulsory below university 281 (28.4%) 292 (29.5%)
College (bachelor’s or equivalent level) 105 (10.6%) 120 (12.1%)
University degree (Master, Doc, or equivalent) 242 (24.4%) 237 (23.9%)
Prefer not to answer a 11 11
Marital statusa N (%) Single 159 (16.0%) 242 (24.4%)
Married (or in a steady relationship) 692 (69.6%) 633 (63.9%)
Separated / divorced / widowed 143 (14.4%) 116 (11.7%)
Prefer not to answer a 8 12
Employment statusa N (%) Employed full time 357 (35.8%) 396 (39.8%)
Employed part time 86 (8.6%) 95 (9.5%)
Homemaker 17 (1.7%) 15 (1.5%)
Student 30 (3%) 78 (7.8%)
Unemployed 22 (2.2%) 28 (2.8%)
Retired 361 (36.2%) 262 (26.3%)
Self-employed 94 (9.4%) 91 (9.1%)
Other 30 (3%) 31 (3.1%)
Prefer not to answer a 5 6
Health statusa,b N (%) No health condition 444 (46.4%) 506 (52.6%)
At least one health condition 513 (53.6%) 456 (47.4%)
 Chronic pain 240 (25.1%) 208 (21.6%)
 Heart disease 60 (6.3%) 45 (4.7%)
 Cancer 28 (2.9%) 23 (2.4%)
 Depression 61 (6.4%) 61 (6.3%)
 COPD 33 (3.4%) 26 (2.7%)
 Arthritis 108 (11.3%) 87 (9.1%)
 Diabetes 62 (6.5%) 47 (4.9%)
 Asthma 33 (3.5%) 34 (3.5%)
 Anxiety disorder 24 (2.5%) 24 (2.5%)
 Obesity 65 (6.8%) 56 (5.9%)
 Drug/alcohol use disorder 5 (0.5%) 5 (0.5%)
 Other 162 (16.9%) 143 (14.8%)
Prefer not to answer 37 34
Missing 8 6
  1. M mean, SD standard deviation, IQR interquartile range,
  2. a For calculating percentages, the category “prefer not to answer” was treated as missing data,
  3. b The sum of all health conditions is larger than the sample size as respondents could choose multiple