Table 6 Logistic regression model: influencing factors on the utilisation of clinical cancer prevention screenings among women with obesity

Self-perceived Weight Status¹

 Slightly overweight

1.39

.730

(0.21–9.12)

1.55

.642

(0.24–9.98)

0.29

.207

(0.04–1.98)

1.76

.635

(0.17–18.00)

1.26

.632

(0.49–3.24)

 Overweight

0.74

.737

(0.12–4.38)

0.55

.501

(0.10–3.14)

0.34

.244

(0.05–2.10)

3.24

.300

(0.35–30.01)

1.13

.709

(0.59–2.20)

 Extremely overweight

0.49

.438

(0.08–2.96)

0.53

.484

(0.09–3.10)

0.33

.237

(0.05–2.09)

3.53

.272

(0.37–33.32)

Omitted because of collinearity

Experienced weight bias

 Inadequate treatment by HCPs²

0.89

.604

(0.56–1.39)

0.93

.760

(0.58–1.48)

0.96

.938

(0.57–1.68)

1.34

.315

(0.76–2.36)

1.08

.810

(0.57–2.06)

 Treatment refused³

0.88

.842

(0.24–3.16)

0.54

.316

(0.16–1.81)

0.71

.726

(0.11–4.67)

0.87

.867

(0.17–4.53)

0.79

.860

(0.06–10.70)

 Weight-based discrimination by HPCs⁴

1.03

.894

(0.62–1.72)

0.95

.860

(0.56–1.61)

1.04

.914

(0.55–1.94)

0.83

.566

(0.44–1.56)

1.60

.208

(0.77–3.33)

 General weight-based discimination⁵

1.04

.887

(0.64–1.67)

1.04

.864

(0.64–1.71)

1.21

.538

(0.66–2.20)

0.96

.889

(0.52–1.75)

0.77

.478

(0.38–1.57)

Internalised weight bias

 WBIS

0.99

.520

(0.98–1.01)

1.01

.518

(0.99–1.02)

0.99

.174

(0.96–1.01)

1.00

.885

(0.98–1.02)

1.05***

.001

(1.02–1.08)

Cancer awareness

 Current/previous (other) cancer diagnosis in participants⁶

2.43*

.036

(1.06–5.58)

1.78

.160

(0.80–3.95)

3.93**

.002

1.62–9.55)

0.63

.290

(0.27–1.48)

3.62*

.012

(1.32–9.92)

 Current/previous (other) cancer in participant’s environment⁷

1.11

.647

(0.69–1.84)

1.31

.291

(0.79–2.18)

1.64

.169

(0.86–2.37)

1.07

.827

(0.57–2.04)

1.61

.166

(0.82–3.17)

 CPS knowledge⁸

2.17***

 < .001

(1.43–3.30)

3.33***

.001

(1.66–6.66)

1.43

.169

(0.86–2.37)

1.45

.205

(0.82–2.55)

3.84***

 < .001

(2.10–7.02)

Confounding variables

 Health Insurance⁹

1.39

.452

(0.59–3.32)

1.98

.174

(0.74–5.27)

0.90

.809

(0.37–2.18)

2.03

.120

(0.83–4.94)

2.18

.142

(0.77–6.16)

 Age

0.98*

.033

(0.95–1.00)

0.99

.294

(0.96–1.01)

0.80***

 < .001

(0.75–0.86)

0.84***

 < .001

(0.79–0.89)

1.13*

.012

(1.03–1.24)

 Educational Level¹⁰

1.04

.873

(0.67–1.60)

0.98

.940

(0.63–1.54)

1.03

.926

(0.60–1.75)

1.24

.430

(0.72–2.13)

1.33

.376

(0.71–2.50)

 Marital Status¹¹

1.55

.040

(1.02–2.35)

1.70

.016

(1.11–2.62)

1.18

.515

(0.54–2.36)

0.94

.827

)0.56–1.59)

1.23

.497

(0.41–2.16)

 Household income¹²

  2. Quartile

1.05

.860

(0.62–1.78

1.69

.060

(1.07–3.13)

0.94

.865

(0.47–1.88)

1.03

.925

(0.50–2.12)

1.00

.998

(0.45–2.23)

  3. Quartile

1.43

.249

(0.78–2.64

1.78

.067

(1.04–3.49)

1.10

.789

(0.53–2.29)

2.10*

.046

(1.01–4.36)

1.72

.216

(0.73–4.05)

  4. Quartile

1.21

.552

(0.65–2.26

1.93*

.049

(0.98–3.58)

1.13

.739

(0.54–2.36)

1.00

.990

(0.46–2.19)

0.94

.876

(0.41–2.16)

n

473

463

339

336

247

Prob > chi²

0.003

0.001

 < 0.001

 < 0.001

 < 0.001

Pseudo R²

0.065

0.075

0.185

0.145

0.170