Table 3 Structural model of the final SEM with the regression paths among the latent variables.

A. Estimates of structural model
Outcome variables	Predictor variables	Standardized estimates	95% CI of estimate [lower, upper]	p-value	R²
IM intentional use	Executive functioning	− 0.187	[− 0.278, − 0.096]	< 0.001	0.577
	Perspective-taking	0.188	[0.103, 0.273]	< 0.001
	Social anxiety	0.315	[0.215, 0.414]	< 0.001
	Internalized stigma	0.343	[0.253, 0.434]	< 0.001
	Social belonging needs	0.200	[0.094, 0.306]	0.001
IM self-efficacy	Executive functioning	0.288	[0.099, 0.477]	0.006	0.368
	Perspective-taking	0.255	[0.069, 0.441]	0.007
	Social anxiety	0.158	[− 0.025, 0.340]	0.091
	Internalized stigma	− 0.116	[− 0.340, 0.107]	0.309
	Social belonging needs	− 0.292	[− 0.561, − 0.024]	0.045
Affective symptoms	IM intentional use	1.13	[0.709, 1.55]	< 0.001	0.668
	IM self-efficacy	− 0.662	[− 1.07, − 0.253]	0.005
	Internalized stigma	− 0.308	[− 0.638, 0.022]	0.080
	Social belonging needs	− 0.193	[− 0.536, 0.150]	0.280
Authenticity	IM intentional use	− 1.35	[− 1.70, − 1.00]	0.001	0.889
	IM self-efficacy	0.586	[0.274, 0.897]	0.015
	Internalized stigma	0.325	[0.062, 0.588]	0.052
	Social belonging needs	0.269	[− 0.004, 0.541]	0.099
Fatigue	IM intentional use	1.32	[0.779, 1.87]	0.026	0.867
	IM self-efficacy	− 0.990	[− 1.47, − 0.514]	0.038
	Internalized stigma	− 0.458	[− 0.871, − 0.046]	0.110
	Social belonging needs	− 0.290	[− 0.722, 0.142]	0.252
Social anxiety	Internalized stigma	0.350	[0.274, 0.427]	< 0.001	0.341
Social anxiety	Social belonging needs	0.350	[0.277, 0.422]	< 0.001

B. Estimates of covariances and residual covariances
		Covariance	Correlations	p-value
Exogenous variables
Executive functioning	Perspective-taking	0.207	0.207	< 0.001
Internalized stigma	Social belonging needs	0.392	0.392	< 0.001
Endogenous variables
IM intentional use	IM self-efficacy	0.933	0.230	< 0.001
Affective symptoms	Fatigue	0.644	0.880	< 0.001
Affective symptoms	Authenticity	− 0.076	− 0.767	0.702

Note. Estimates of covariances were computed for exogenous variables in the model, and residual covariances were computed for endogenous variables in the model.

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