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. 2022 Nov 23;16(6):991–1000. doi: 10.14444/8366

Table 4.

Impact of gender on PROMs.

PROM Women
(Mean ± SD)
Men
(Mean ± SD)
P Value a P Value b
VAS neck
 Preoperative 6.4 ± 2.4 6.0 ± 2.2 0.278 0.364
 6 wk 4.0 ± 2.5 3.3 ± 2.6 0.138 <0.001
 12 wk 2.9 ± 2.8 2.9 ± 2.4 0.877 <0.001
 6 mo 3.0 ± 2.8 2.7 ± 2.5 0.600 0.003
 1 y 3.2 ± 3.1 3.5 ± 2.7 0.647 0.357
 2 y 4.2 ± 2.6 4.3 ± 2.9 0.892 0.735
VAS arm
 Preoperative 6.5 ± 2.7 5.7 ± 2.5 0.076 0.121
 6 wk 2.2 ± 2.7 2.7 ± 2.5 0.317 0.005
 12 wk 3.1 ± 3.5 2.5 ± 2.4 0.245 0.009
 6 mo 2.9 ± 3.3 2.4 ± 2.5 0.407 0.013
 1 y 3.0 ± 2.7 4.0 ± 3.4 0.274 0.325
 2 y 3.3 ± 2.8 3.9 ± 3.3 0.672 0.685
NDI
 Preoperative 42.9 ± 19.6 40.9 ± 17.8 0.574 <0.001
 6 wk 30.5 ± 20.2 32.5 ± 19.8 0.608 <0.001
 12 wk 25.0 ± 19.7 28.1 ± 20.4 0.434 <0.001
 6 mo 25.4 ± 21.1 22.0 ± 20.5 0.418 <0.001
 1 y 23.9 ± 20.0 26.1 ± 23.6 0.712 0.684
 2 y 22.6 ± 16.0 33.7 ± 23.9 0.217 0.457
SF-12 PCS
 Preoperative 37.6 ± 7.4 37.9 ± 10.5 0.799 0.004
 6 wk 39.1 ± 9.4 38.0 ± 10.0 0.490 0.002
 12 wk 44.5 ± 9.1 43.8 ± 11.5 0.722 0.011
 6 mo 40.5 ± 10.0 43.4 ± 9.6 0.214 0.166
 1 y 44.3 ± 8.4 43.1 ± 12.2 0.692 0.314
 2 y 46.1 ± 8.4 37.6 ± 13.1 0.043 0.120
PROMIS-PF
 Preoperative 39.1 ± 6.6 40.8 ± 7.8 0.345 <0.001
 6 wk 42.4 ± 6.9 39.3 ± 7.3 0.105 0.026
 12 wk 46.2 ± 11.2 45.4 ± 10.4 0.793 0.153
 6 mo 45.9 ± 9.2 47.4 ± 10.9 0.634 0.031
 1 y 47.1 ± 7.9 48.0 ± 9.4 0.800 0.995
 2 y 48.3 ± 11.0 46.0 ± 9.6 0.528 0.844
VR-12 PCS
 Preoperative 36.5 ± 7.5 36.4 ± 10.0 0.923 0.003
 6 wk 40.2 ± 8.5 36.3 ± 10.1 0.070 <0.001
 12 wk 42.9 ± 10.1 40.7 ± 11.6 0.436 0.003
 6 mo 42.9 ± 9.8 45.9 ± 9.3 0.207 0.090
 1 y 45.7 ± 8.5 44.7 ± 11.6 0.735 0.803
 2 y 47.5 ± 7.9 38.7 ± 13.5 0.035 0.093

Abbreviations: NDI, Neck Disability Index; PCS, physical composite score; PROM, patient-reported outcome measure; PROMIS-PF, PROM information system physical function; SF-12 PCS, 12-item short form survey PCS; VAS, visual analog scale; VR-12 PCS, veterans RAND 12-item health survey PCS.

Note: Boldface indicates statistical significance.

a

P values calculated using simple linear regression of PROMs by gender.

b

P values calculated using multiple regression of PROMs by gender and insurance type.