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. 2023 Mar 11;9(3):e14485. doi: 10.1016/j.heliyon.2023.e14485

Table 2b.

The relationships between demographics and pain categories using multinomial regression.







95% CI for OR
Outcomes Β SE Wald OR p LL UL
Low pain levels*
M0alesa −.562 1.03 .30 .570 .586 .075 4.312
Other nurse typeb −2.637 1.18 5.00 .072 .025 .007 .722
Switch jobs .896 .93 .93 2.450 .336 .395 15.197
Age .987 .45 4.75 2.683 .029 1.104 6.517
Hours worked before pain .422 .15 7.86 1.525 .005 1.135 2.048
High pain levels*
Malesa −1.624 1.04 2.44 .197 .118 .026 1.514
Other nurse typeb −2.647 1.14 5.40 .071 .020 .008 .660
Switch jobs .893 .91 .97 2.442 .326 .412 14.475
Age 1.143 .45 6.53 3.135 .011 1.305 7.533
Hours worked before pain .572 .15 14.49 1.772 <.001 1.320 2.378

Note. χ2(10) = 43.88, p < .001, Nagelkerke R2 = 0.370. *Compared with minimal pain. aCompared with females; bCompared with RN; cCompared with not switching jobs. OR, odds ratio; LL, lower limits; UL, upper limits.