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. Author manuscript; available in PMC: 2023 Mar 1.
Published in final edited form as: Support Care Cancer. 2021 Oct 18;30(3):2081–2089. doi: 10.1007/s00520-021-06622-x

Table 3.

Effects of demographic and clinical variables on latent profile classification: selected results of multinomial logit model1

Covariate Latent Profile
High Symptom SufferingOR (95% C.I.) Medium Symptom SufferingOR (95% C.I.) Low Symptom SufferingOR (95% C.I.)
Age 1.22 (1.05, 1.41) * 1.14 (1.03, 1.26)* -
Gender
 Female - - -
 Male 0.80 (0.34, 1.91) 0.89 (0.45, 1.76)
Parent Education 0.79 (0.35, 1.81) 0.73 (0.37, 1.46) -
 <College - -
 College+ 0.79 (0.35, 1.81) 0.73 (0.37, 1.46) -
Race
Others - -
White 0.48 (0.19, 1.25) 0.83 (0.35, 1.97) -
Black 0.57 (0.17, 1.99) 0.64 (0.23, 1.75)
Time since diagnosis
 ≤ Median - -
 > Median 1.03 (0.98, 1.08) 1.03 (0.99, 1.06)
Hemoglobin 1.00 (0.77, 1.30) 0.80 (0.64, 1.00) -
Fatigue Severity2
 No - -
 Yes 2.99 (1.08, 8.31) * 11.37 (4.53, 28.58)* -
Pain Severity2
 No - -
 Yes 6.36 (2.64, 15.34) * 2.59 (1.30, 5.15)* -
Anxiety Severity2
 No - -
 Yes 16.75 (6.36, 44.15) * 3.67 (1.76, 7.68)* -
Cancer Type
 Neuro-oncology - -
 Leukemia/Lymphoma 2.56 (0.56, 11.79) 1.66 (0.64, 4.34)
 Solid tumor 3.00 (0.62, 14.61) 1.74 (0.62, 4.89)

Notes:

-Reference group

*

Statistically significant as α < 0.05

1

Estimated using 3-step method in Mplus 8.4

2

Ped-PRO-CTCAE severity experience at baseline (T1)