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. 2024 Feb 22;14:4392. doi: 10.1038/s41598-024-54834-y

Table 2.

Linear regression for predicting diagnosis acceptance (n = 434).

Variable ΔR2 B 95% CI for B SE B β T p
LL UL
Step 1 .031**
Gender − 0.48 − 5.47 3.96 2.40 − 0.02 − 0.20 .841
Age 0.07 − 0.20 0.34 0.14 0.03 0.51 .611
 ADHD (self) − 0.04 − 9.62 1.39 3.89 − 0.01 − 0.01 .992
 ADHD (child) 0.04 − 2.89 7.40 2.89 0.01 0.01 .989
 ADHD score 0.06 − .015 0.38 0.13 0.03 0.48 .634
 Trust trait 4.53 0.18 9.54 2.39 0.10 1.89 .058
 Trust in Health Provider 2.62 − 0.76 5.91 1.69 0.08 1.55 .122
 Trust in Health Institutions 4.97 0.96 8.44 1.90 0.14 2.62 .009
Step 2 .007*
 Gender − 0.11 − 5.05 4.37 2.40 − 0.00 − 0.05 .964
 Age 0.06 − .021 0.33 0.14 0.02 0.39 .697
 ADHD (self) − 0.96 − 10.02 0.96 3.90 − 0.01 0.25 .806
 ADHD (child) 0.62 − 2.50 7.78 2.89 0.01 0.21 .832
 ADHD score 0.08 − 0.13 0.39 0.13 0.03 0.63 .529
 Trust trait 4.40 0.05 9.38 2.38 0.10 1.85 .065
 Trust in Health Provider 2.88 − 0.47 6.20 1.70 0.09 1.71 .089
 Trust in Health Institutions 4.77 0.75 8.21 1.90 0.13 2.51 .012
 Group 5.03 0.47 10.04 2.46 0.10 2.05 .041
Step 3 .343***
 Gender 0.46 − 3.62 3.94 1.93 0.01 0.24 .810
 Age 0.02 − 0.18 0.26 0.11 0.01 0.16 .885
 ADHD (self) 2.92 − 8.62 0.19 3.14 − 0.04 0.93 .353
 ADHD (child) − 0.13 − 3.75 4.51 2.32 − 0.00 − 0.06 .954
 ADHD score 0.10 − 0.01 0.41 0.11 0.04 0.93 .355
 Trust trait 1.59 − 1.77 5.75 1.92 0.03 0.83 .407
 Trust in Health Provider − 0.52 − 3.47 1.95 1.37 − 0.02 − 0.38 .704
 Trust in Health Institutions 0.66 − 2.68 3.40 1.55 0.02 0.43 .671
 Group –1.38 − 4.88 2.96 2.02 − 0.03 − 0.68 .494
 Trust in diagnosis 0.85 0.74 .096 0.06 0.63 15.36  < .001
Total R2 .385***

Statistics of 3 steps of a linear regression predicting intended adherence by trust in diagnosis over personal variables, trust variables and study grouping.

Values of binary variables: ADHD (self) and ADHD (child): 0 = no, 1 = yes; Group: 0 = control group, 1 = study group.

ADHD / Trust trait / Trust in Health provider / Trust in Health Institutions are continuous variables.

There was no evidence of multicollinearity as VIF values of all variables over the three steps were in the range of 1.00 < VIF < 1.33.

*P < .05; *** P < .001.