Table 3 Logistic regression models of potential risk factors and beneficial factors, 6 months postoperatively, according to the three arm morbidities evaluated in the study

Risk

Factors

Age

1.07 (0.96–1.19)

.852

1.00 (0.96–1.64)

.180

1.01 (0.98–1.05)

.367

BMI

0.94 (0.76–1.14)

.545

0.99 (0.89–1.16)

.885

0.98 (0.89–1.08)

.737

Tumor Size

0.88 (0.55–1.66)

.623

0.98 (0.59–1.64)

.986

0.88 (0.55–1.39)

.595

In-hospital pain

3.19 (0.83–12.04)

.089

2.46 (1.19–5.08)

.014*

1.05 (0.61–1.80)

.850

Mastectomy

2.71 (0.11–64.90)

.299

2.15 (0.75–6.12)

.152

1.82 (0.23–13.95)

.564

Br. Recons.

7.87 (0.9–68.7)

.062

0.83 (0.96–7.27)

.871

1.35 (0.17–10.37)

.665

Lymph Node

0.85 (0.20–3.58)

.834

1.14 (0.97–1.33)

.097

1.08 (0.92–1.27

.298

Lymphedema

11.14 (0.17–36.38)

.058

33.18 (3.27–336.0)

.003*

6.45 (1.04–40.29)

.045*

AWS

11.02 (0.92–131.61)

.233

14.03 (2.54–77.36)

.002*

0.93 (0.20–4.29)

.934

Neoadj. Treat.

0.25 (0.03–2.10_

.205

1.58 (0.32–7.76)

.571

0.67 (0.20–3.36)

.792

Adj. Treat.

0.32 (0.02–3.89)

.375

0.93 (0.38–2.26)

.889

1.62 (0.55–4.72)

.372

Radiotherapy

7.02 (0.54–90.21)

.1.34

0.93 (0.28–3.03)

.906

3.39 (1.24–9.21)

.017*

6 m. Function

–

–

1.20 (1.07–1.34)

.001*

0.91 (0.84–0.99)

.030*

Preop. Pain

0.13 (0.01–0.26)

.005*

1.97 (0.95–4.10)

.067

0.90 (.562–1.34)

.612

Preop. function

0.06 (0.12–0.38)

.002*

0.36 (0.08–1.42

.160

0.20 (0.63–0.69)

.011*

Preop. ROM

1.03 (0.96–1.11)

.343

0.99 (0.94–1.04)

.815

0.87 (0.81–0.93)

< .001*

Beneficial Factors

H. PT.

0.00 (0.01–0.97)

.047*

0.13 (0.04–0.38)

< .001*

0.26 (0.10–0.70)

.008*

PA

0.34 (0.09–1.20

.094

0.41 (0.04–0.33)

.105

0.67 (0.43–1.05)

.082