Sample Characteristics
Of the 400 potential participants that were approached, 26 did not meet the inclusion criteria, 13 declined to participate for various reasons, and 361 were eligible for the study and consented to participate. The average age of the patients was 54.34 years (SD = 8.25, range = 33–77). They were predominantly female (64.0%) and diagnosed with breast cancer (40.4%). Characteristics of the participants are presented in Table 1.
CFA
The factorial validity of the TNAS at each time point was explored by estimating the proposed two-factor model. Observed items were used as indicators for the latent factor. No items were removed. The CFA model with two latent subscales demonstrated an adequate fit across multiple fit indices. The results showed that the model fitted the data well at Time 1 [(χ2 /df = 2.137, p < .001), TLI = 0.983, CFI = 0.982, RMSEA = 0.032], Time 2 [(χ2 /df = 1.637, p < .001), TLI = 0.987, CFI = 0.989, RMSEA = 0.017], and Time 3 [(χ2 /df = 2.245, p < .001), TLI = 0.973, CFI = 0.974, RMSEA = 0.027], respectively.
The convergent validity of TNAS was examined by CFA as well as AVE and CR at three time points. The results showed that at T1, the factor loadings of all items ranged from 0.765 to 0.879, the AVE values of the 2 factors were 0.610 and 0.746, and the CR values were 0.901 and 0.890. At T2, the factor loadings of all items ranged from 0.750 to 0.855, the AVE values of the 2 factors were 0.623 and 0.728, and the CR values were 0.911 and 0.889. At T3, the factor loadings of all items ranged from 0.732 to 0.843, the AVE values of the 2 factors were 0.595 and 0.697, and the CR values were 0.897 and 0.872. As described earlier, all criteria displayed good acceptability at the three-time points, indicating that the TNAS has satisfactory convergent validity (Table 2).
Table 1. Demographic and Clinical Characteristics of the Samples (N=312).
Variable
|
N
|
%
|
Age (mean ± SD)
|
54.34±8.251
|
|
Gender
|
|
|
Male
|
130
|
36
|
Female
|
231
|
64
|
Diagnosis
|
|
|
Head and neck cancer
|
23
|
6.4
|
Multiple myeloma
|
37
|
10.2
|
Colorectal cancer
|
93
|
25.8
|
Breast cancer
|
146
|
40.4
|
Ovarian cancer
|
22
|
6.1
|
Lung cancer
|
40
|
11.1
|
Cancer stage
|
|
|
I
|
81
|
22.4
|
II
|
134
|
37.1
|
III
|
124
|
34.3
|
IV
|
22
|
6.1
|
Type of chemotherapy
|
|
|
Bortezomib
|
37
|
10.2
|
Oxaliplatin
|
101
|
28.0
|
Taxane–Platinum
|
175
|
48.5
|
Oxaliplatin+ Taxane–Platinum
|
48
|
13.3
|
Table 2. Factor structures by confirmatory factor analysis (N=312).
Items
|
Factor
|
T1
|
T2
|
T3
|
|
|
SE
|
CR
|
AVE
|
SE
|
CR
|
AVE
|
SE
|
CR
|
AVE
|
1
|
Sensory
|
0.779
|
0.901
|
0.610
|
0.827
|
0.911
|
0.623
|
0.732
|
0.897
|
0.595
|
2
|
|
0.781
|
|
|
0.762
|
|
|
0.777
|
|
|
3
|
|
0.797
|
|
|
0.827
|
|
|
0.794
|
|
|
4
|
|
0.792
|
|
|
0.750
|
|
|
0.788
|
|
|
5
|
|
0.765
|
|
|
0.790
|
|
|
0.754
|
|
|
6
|
|
0.780
|
|
|
0.780
|
|
|
0.777
|
|
|
7
|
Interference
|
0.862
|
0.890
|
0.746
|
0.852
|
0.889
|
0.728
|
0.842
|
0.872
|
0.697
|
8
|
|
0.850
|
|
|
0.853
|
|
|
0.832
|
|
|
9
|
|
0.879
|
|
|
0.855
|
|
|
0.830
|
|
|
Note. Item 1: Numbness in arms, legs, hands, or feet;
Item 2: Tingling in arms, legs, hands, or feet;
Item 3: Pain in arms, legs, hands, or feet;
Item 4: Hot or burning sensations in arms, legs, hands, or feet;
Item 5: Feelings of coldness in hands, fingers, feet, or toes;
Item 6: Disturbed sleep due to neuropathy;
Item 7: Difficulty using hands or fingers;
Item 8: Trouble walking;
Item 9: Trouble with balance or falling;
SE= Standardized Estimate; CR= Composite Reliability; AVE= Average Variance Extracted.
Longitudinal Measurement Invariance and Mean Comparisons
After confirming the factorial structure over time, the next step was to evaluate the temporal equivalence of TNAS through longitudinal measurement invariance. The results summarized in Table 3 showed that configural, metric, and scalar invariance were established. No significant differences in terms of CFI (Δ < 0.01), TLI (Δ < 0.01), and RMSEA (Δ < 0.015) between the configural, metric, and scalar invariance models were found. Thus, the TNAS showed itself to be a consistent measure over time, and mean comparisons can be made. Mean comparisons, with TNAS at Time 1 set as the reference point, showed that TNAS increased at T2 and T3 (P < .001). Figure 1 shows the results of the metric and scalar invariance models of the longitudinal measurement invariance
Table 3
Longitudinal Invariance of the TNAS.
Model
|
\(\:{}^{2}\)
|
\(\:\varvec{d}\varvec{f}\)
|
CFI
|
TLI
|
RMSEA
|
ΔCFI
|
ΔTLI
|
ΔRMSEA
|
1.Configural invariance
|
317.049
|
309
|
0.980
|
0.982
|
0.013
|
|
|
|
2.Metric invariance
|
341.099
|
327
|
0.991
|
0.991
|
0.014
|
0.011
|
0.010
|
0.001
|
3.Scalar invariance
|
1230.522
|
345
|
0.995
|
0.993
|
0.019
|
0.004
|
0.002
|
0.005
|
Note. χ2 = Chi-square; \(\:df\)= degrees of freedom; TLI = Tucker-Lewis Index; CFI = comparative fit index; RMSEA = root mean square error of approximation. |
Criterion Validity
The criterion validity was assessed with Pearson correlations between the TNAS and the EORTC QLQ-CIPN20. Given that the dimensionality of the EORTC QLQ-CIPN20 has been questioned in several recent studies [15, 36]and there is a lack of evidence for longitudinal measurement invariance of the EORTC QLQ-CIPN20, we only measured the correlation between TNAS and EORTC QLQ-CIPN20 at T1. The result showed that TNAS had a significant positive correlation with EORTC QLQ-CIPN20 (r = 0.502, p < .001), indicating adequate criterion-related validity of the TNAS.
Internal Consistency
To determine internal consistency, Cronbach’s alpha values were calculated individually for the subscales of the TNAS at three time points. The Cronbach’s alpha values of TNAS at the three time points were 0.880, 0.873, and 0.886, respectively, indicating that TNAS has good internal consistency. (See Table 4 for the Cronbach’s alpha values of the two subscales).
Table 4
Mean (SD) and Cronbach’s alpha of TNAS and its subscales at three-time points.
TNAS and Subscales
|
Mean
|
SD
|
Cronbach’s \(\:\varvec{\alpha\:}\)
|
TNAS_T1
|
8.816
|
2.292
|
0.880
|
TNAS_T2
|
9.866
|
2.483
|
0.873
|
TNAS_T3
|
10.571
|
2.603
|
0.886
|
Sensory_T1
|
4.173
|
1.205
|
0.903
|
Sensory_T2
|
5.020
|
1.391
|
0.908
|
Sensory_T3
|
5.148
|
1.419
|
0.897
|
Interference_T1
|
4.642
|
1.547
|
0.898
|
Interference_T2
|
4.845
|
1.605
|
0.889
|
Interference_T3
|
5.422
|
1.637
|
0.872
|