Total (n = 1003) | BMI < 30 (n = 503) | BMI ≥ 30 (n = 500) | Sample BMI < 30 vs. sample BMI ≥ 30 | |
---|---|---|---|---|
n (%) | n (%) | n (%) | Chi2, N, p-value, and Cramer’s V | |
Basic sociodemographic characteristics | ||||
Education | χ2 (1, n = 1003) = 20.4299, p < 0.001, Cramer’s V = − 0.1427 | |||
< 12 years in school | 466 (46.46%) | 198 (39.36%) | 268 (53.60%) | |
≥ 12 years in school | 537 (53.54%) | 305 (60.64%) | 232 (46.40%) | |
Age | χ2 (3, n = 1003) = 0.7829, p = 0.854, Cramer’s V = 0.0279 | |||
25–34 | 70 (6.98%) | 36 (7.16%) | 34 (6.80%) | |
35–44 | 128 (12.76%) | 65 (12.92%) | 63 (12.60%) | |
45–54 | 283 (28.22%) | 147 (29.22%) | 136 (27.20%) | |
55–65 | 522 (52.04%) | 255 (50.70%) | 267 (53.40%) | |
Mean age (SD) | 52.75 (9.72) | 52.6 (9.73) | 52.89 (9.71) | |
Household income in Euro1 | χ2 (9, n = 912) = 36.9948, p < 0.001, Cramer’s V = 0.2014 | |||
< 500 | 9 (1.0%) | 6 (1.4%) | 3 (0.6%) | |
500 < 1000 | 61 (6.7%) | 13 (3.0%) | 48 (10.1%) | |
1000 < 1500 | 90 (9.9%) | 37 (8.6%) | 53 (11.2%) | |
1500 < 2000 | 124 (13.6%) | 61 (13.9%) | 63 (13.3%) | |
2000 < 2500 | 133 (14.6%) | 60 (13.7%) | 73 (15.4%) | |
2500 < 3000 | 92 (10.1%) | 37 (8.5%) | 55 (11.6%) | |
3000 < 3500 | 99 (10.7%) | 46 (10.5%) | 53 (11.2%) | |
3500 < 4000 | 80 (8.8%) | 48 (10.9%) | 32 (6.8%) | |
4000 < 4500 | 78 (8.6%) | 44 (10.1%) | 34 (7.2%) | |
≥ 4500 | 146 (16.0%) | 86 (19.6%) | 60 (12.7%) | |
Health insurance | χ2 (1, n = 1002) = 6.8299, p = 0.009, Cramer’s V = − 0.0826 | |||
Statutory health insurance | 119 (88.1%) | 429 (85.5%) | 454 (90.8%) | |
Private health insurance | 883 (11.9%) | 73 (14.5%) | 46 (9.2%) | |
Weight status | ||||
BMI | ||||
Underweight (BMI < 18.5) | 13 (1.3%) | 13 (1.3%) | – | |
Normal weight (18.5 ≥ BMI < 25) | 268 (26.72%) | 268 (26.72%) | – | |
Overweight (25 ≥ BMI < 30) | 222 (22.13%) | 222 (22.13%) | – | |
Nonobese (BMI < 30) | 503 (50.15%) | 503 (50.15%) | – | |
Obesity (BMI ≥ 30) | 500 (49.85%) | – | 500 (49.85%) | |
Obesity class I (30 ≥ BMI < 35) | 301 (30.01%) | – | 301 (30.01%) | |
Obesity class II (35 ≥ BMI < 40) | 129 (12.86%) | – | 129 (12.86%) | |
Obesity class III (BMI ≥ 40) | 70 (6.98%) | – | 70 (6.98%) | |
Mean BMI (SD) | 29.72 (6.80) | 24.36 (3.27) | 35.10 (4.92) | |
Self-perceived weight status | ||||
Extremely underweight | 3 (0.3%) | 3 (0.6%) | – | |
Underweight | 4 (0.4%) | 4 (0.8%) | – | |
Slightly underweight | 26 (2.6%) | 26 (5.17%) | – | |
Normal weight | 252 (25.12%) | 245 (48.71%) | 7 (1.40%) | |
Slightly overweight | 212 (21.14%) | 154 (30.62%) | 58 (11.60%) | |
Overweight | 312 (31.11%) | 68 (13.52%) | 244 (48.80%) | |
Obese | 194 (19.34%) | 3 (0.6%) | 191 (38.20%) | |
Experiences with HCPs | ||||
Inadequate treatment by HCPs | χ2 (1, n = 1003) = 4.6272, p = 0.031, Cramer’s V = − 0.0679 | |||
Experienced | 674 (67.2%) | 354 (70.4%) | 320 (64.0%) | |
Not experienced | 329 (32.8%) | 149 (29.6%) | 180 (36.0%) | |
Weight bias | ||||
WBI | ||||
Q1 WBIS (Score 10 ≤ 20) | – | – | 142 (28.4%) | |
Q2 WBIS (Score 20 ≤ 27) | – | – | 114 (22.8%) | |
Q3 WBIS (Score 27 ≤ 37) | – | – | 127 (25.4%) | |
Q4 WBIS (Score 37 ≤ 70) | – | – | 117 (23.4%) | |
Mean WBIS (SD) | – | – | 29.40 (12.43) | |
General weight-based discrimination | – | |||
Yes | – | – | 186 (37.2%) | |
No | – | – | 314 (62.8%) | |
Weight-based discrimination by HPCs | – | |||
Yes | – | – | 138 (27.6%) | |
No | – | – | 362 (72.4%) | |
Treatment refused because of weight | – | |||
Yes | – | – | 14 (2.8%) | |
No | – | – | 486 (97.2%) | |
Experiences with cancer | ||||
Current/previous cancer diagnosis in participants | χ2 (1, n = 1002) = 0.3369, p = 0.562, Cramer’s V = − 0.0183 | |||
Yes | 87 (8.7%) | 41 (8.2%) | 46 (9.2%) | |
No | 915 (91.3%) | 461 (91.8%) | 454 (90.8%) | |
Current/previous cancer in participant’s environment | χ2 (1, n = 1001) = 0.0769, p = 0.781, Cramer’s V = − 0.0088 | |||
Yes | 772 (77.1%) | 389 (77.5%) | 383 (76.8%) | |
No | 229 (22.9%) | 113 (22.5%) | 116 (23.2%) | |
Knowledge about CPS | ||||
Knowledge about Pap smear (women aged 25–65) | χ2 (1, n = 1003) = 2.7962, p = 0.094, Cramer’s V = − 0.0528 | |||
Yes | 550 (54.8%) | 289 (57.5%) | 261 (52.2%) | |
No | 453 (45.2%) | 214 (42.5%) | 239 (47.8%) | |
Knowledge about HPV vaccination (women aged ≤ 30) | χ2 (1, n = 32) = 3.1643, p = 0.075, Cramer’s V = − 0.3145 | |||
Yes | 27 (84.4%) | 17 (94.4%) | 10 (71.4%) | |
No | 5 (15.6%) | 1 (5.6%) | 4 (28.6%) | |
Knowledge about clinical breast examination (women aged 30–65) | χ2 (1, n = 985) = 0.091, p = 0.754, Cramer’s V = − 0.0100 | |||
Yes | 182 (18.5%) | 93 (18.9%) | 89 (18.1%) | |
No | 803 (81.5%) | 400 (81.1%) | 403 (81.9%) | |
Knowledge about mammography (women aged 50–65) | χ2 (1, n = 711) = 0.4475, p = 0.504, Cramer’s V = − 0.0251 | |||
Yes | 381 (53.6%) | 192 (54.9%) | 189 (52.3%) | |
No | 330 (46.4%) | 158 (45.1%) | 172 (47.7%) | |
Knowledge about faecal occult blood test (FOBT) (women aged 50–65) | χ2 (1, n = 711) = 1.3664, p = 0.242, Cramer’s V = − 0.0438 | |||
Yes | 219 (30.8%) | 115 (32.9%) | 104 (28.8%) | |
No | 492 (69.2%) | 235 (67.1%) | 257 (71.2%) | |
Knowledge about colonoscopy (women aged 55–65) | χ2 (1, n = 711) = 0.0220, p = 0.882, Cramer’s V = − 0.0056 | |||
Yes | 386 (54.3%) | 191 (54.6%) | 195 (54.0%) | |
No | 325 (45.7%) | 159 (45.4%) | 166 (46.0%) |