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. 2022 Nov 30;2022:2114451. doi: 10.1155/2022/2114451

Table 4.

Linear regression results.

Variables Obs F and prob > F R-squared and Adj R-squared Linear regression equation t and P > (t) (95% Conf. Interval)
SWLS (Y)
CTQ-T (X)
87 F (1, 85) = 8.27; p=0.0051 R 2 = 0.0887
Adj R2 = 0.0780
^Y = −0.069 × 15.25 t = −2.88; p=0.005 −0.117 −0.021
SWLS (Y)
CTQ-EA (X)
87 F (1, 85) = 6.30; p=0.0140 R 2 = 0.0690
Adj R2 = 0.0580
^Y = −0.198 × 14.18 t = −2.51; p=0.014 −0.355 −0.411
SWLS (Y)
CTQ-EN (X)
87 F (1, 86) = 12.94; p=0.0005 R 2 = 0.1321
Adj R2 = 0.1219
^Y = −0.283 × 15.40 t = −3.60; p=0.014 −0.440 −0.126
SWLS (Y)
CTQ-PN (X)
87 F (1, 85) = 6.10; p=0.0155 R 2 = 0.0669
Adj R2 = 0.0560
^Y = −0.410 × 14.87 t = −2.47; p=0.016 −0.741 −0.080
HAD-D (Y)
VAS (X)
88 F (1, 86) = 3.99; p=0.0489 R 2 = 0.0443
Adj R2 = 0.0332
^Y = 0.419 × 9.28 t = 2.00; p=0.049 0.001 0.837
HAD-A (Y)
AS (X)
88 F (1, 86) = 10.08; p=0.0021 R 2 = 0.1049
Adj R2 = 0.0945
^Y = 0.547 × 10.74 t = 3.18; p=0.002 0.204 0.889
AIS (Y)
VAS (X)
88 F (1, 86) = 19.18; p=0.000 R 2 = 0.1823
Adj R2 = 0.1728
^Y = 0.952 × 7.87 t = 4.38; p=0.000 0.520 1.385
DES-T (Y)
VAS (X)
86 F (1, 86) = 4.31; p = 0.0410 R 2 = 0.0488
Adj R2 = 0.0375
^Y = 1.262 × 16.46 t = 2.08; p=0.041 0.053 2.47
DES-D (Y)
VAS (X)
86 F (1, 84) = 4.30; p=0.0412 R 2 = 0.0487
Adj R2 = 0.0374
^Y = 1.750 × 24.81 t = 2.07; p=0.041 0.071 3.43
HAD-D (Y)
PDI (X)
88 F (1, 86) = 31.14; p=0.0000 R 2 = 0.2658
Adj R2 = 0.2573
^Y = 0.197 × 2.94 t = 5.58; p=0.000 0.127 0.267
HAD-A (Y)
PDI (X)
88 F (1, 86) = 22.58; p=0.0000 R 2 = 0.2079
Adj R2 = 0.1987
^Y = 0.147 × 7.52 t = 4.75; p=0.000 0.086 0.209
AIS (Y)
PDI (X)
88 F (1, 86) = 8.94; p=0.0036 R 2 = 0.0941
Adj R2 = 0.0836
^Y = 0,131 × 8,07 t = 2.99; p=0.004 0.044 0.218
SWLS (Y)
PDI (X)
87 F (1, 85) = 8.69; p=0.0041 R 2 = 0.0927
Adj R2 = 0.0821
^Y = -0.122 × 17.44 t = −2.95; p=0.004 −0.205 −0.039
DES-T (Y)
PDI (X)
86 F (1, 84) = 10.50; p=0.0017 R 2 = 0.1111
Adj R2 = 0.1005
^Y = 0.361 × 8.10 t = 3.24; p=0.002 0.139 0.582
DES-A (Y)
PDI (X)
86 F (1, 85) = 6.27; p=0.0142 R 2 = 0.0695
Adj R2 = 0.0584
^Y = 0.2551 × -0.74 t = 2.50; p=0.014 0.052 0.457
DES-DP (Y)
PDI (X)
86 F (1, 85) = 6.29; p=0.0140 R 2 = 0.0697
Adj R2 = 0.0586
^Y = 0.3481 × 3.45 t = 2.501 p=0.014 0.072 0.624
DES-D (Y)
PDI (X)
86 F (1, 85) = 7.56; p=0.0073 R 2 = 0.0826
Adj R2 = 0.0716
^Y = 0.4331 × 16.37 t = 2.75 p=0.007 0.119 0.744
HAD-D (Y)
S-FIQ (X)
87 F (1, 85) = 12.39; p=0.0007 R 2 = 0.1272
Adj R2 = 0.1170
^Y = 0.1531 × 3.60 t = 3.52 p=0.001 0.066 0.240
HAD-A (Y)
S-FIQ (X)
87 F (1, 85) = 27.16; p=0.0000 R 2 = 0.2422
Adj R2 = 0.2333
^Y = 0.1741 × 4.79 t = 5.21 p=0.000 0.107 0.240
AIS (Y)
S-FIQ (X)
87 F (1, 85) = 7.69; p=0.0068 R 2 = 0.0830
Adj R2 = 0.722
^Y = 0.137 × 6.64 t = 2.77 p=0.007 0.038 0.235
SWLS (Y)
S-FIQ (X)
86 F (1, 85) = 8.08; p=0.0056 R 2 = 0.0877
Adj R2 = 0.769
^Y = −0.136 × 19.24 t = −2.84 p=0.006 −0.231 −0.040
DES-T (Y)
S-FIQ (X)
85 F (1, 83) = 11.83; p=0.0000 R 2 = 0.1247
Adj R2 = 0.114
^Y = 0.440 × 0.488 t = −3.44 p=0.001 0.185 0.695
DES-A (Y)
S-FIQ (X)
85 F (1, 83) = 8.61; p=0.0043 R 2 = 0.0940
Adj R2 = 0.831
^Y = 0.342 × −7.860 t = 2.93
p=0.004
0.110 0.574
DES-D (Y)
S-FIQ (X)
85 F (1, 83) = 5.08; p=0.0268 R 2 = 0.0577
Adj R2 = 0.046
^Y = 0.367 × −0.792 t = 2.25
p=0.027
0.043 0.691
DES-D (Y)
S-FIQ (X)
85 F (1, 83) = 10.25; p=0.0019 R 2 = 0.1099
Adj R2 = 0.099
^Y = 0.575 × 4.56 t = 3.20
p=0.002
0.217 0.933
VAS (Y)
CTQ-PN (X)
88 F (1, 86) = 4.12; p=0.0455 R 2 = 0.0457
Adj R2 = 0.0346
^Y = −0.161 × 7.78 t = -2.03
p=0.046
−0.003 9.058

Linear regression equation for predicting Y from X in two ways. CTQ-EA : CTQ Emotional Abuse; CTQ-EN : CTQ Emotional Neglect; CTQ-Physical Neglect; DES-T : DES Total; DES-D : DES Dissociation; DES-A : DES Amnesia; DES-D : DES Depersonalization; HADS-DP : Hospital Anxiety and Depression Scale-Depression; HADS-A : Hospital Anxiety and Depression Scale-Anxiety; VAS : Visual Analogue Scale for pain; AIS : Athens Insomnia Scale; PDI : Pain Disability Index; S-FIQ : Fibromyalgia Impact Questionnaire-Spanish validation; SWLS : Satisfaction With Life Scale.