Table 3.

Summary of the multiple regression analyses for the serial multiple mediation model.

Variable	Model 1					Model 2					Model 3					Model 4
	B	95% CI	SE B	β	t	B	95% CI	SE B	β	t	B	95% CI	SE B	β	t	B	95% CI	SE B	β	t
Constant	24.56	[23.34, 25.79]	0.62		39.42***	11.55	[8.66, 14.44]	1.47		7.85***	12.87	[8.92, 16.82]	2.01		6.40***	0.39	[−1.12, 1.90]	0.77		0.51
SMU	0.21	[0.02, 0.39]	0.09	0.11	2.22*	0.18	[−0.01, 0.38]	0.10	0.09	1.85	0.24	[−0.01, 0.49]	0.13	0.07	1.91	0.03	[−0.06, 0.12]	0.05	0.02	0.57
Positive affect						0.43	[0.33, 0.54]	0.05	0.38	8.06***	0.61	[0.46, 0.75]	0.07	0.36	8.26***	0.12	[0.06, 0.18]	0.03	0.18	4.12***
FoMO											0.53	[0.41, 0.66]	0.06	0.36	8.22***	0.23	[0.18, 0.89]	0.03	0.39	9.17***
Offline and online self-presentation																0.12	[0.09, 0.16]	0.02	0.31	6.73***
	R2 = 0.01, F(1, 383) = 4.91, p < 0.05					R2 = 0.16, F(2, 382) = 36.29, p < 0.001					R2 = 0.38, F(3, 381) = 78.83, p < 0.001					R2 = 0.51, F(4, 380) = 99.55, p < 0.001

N = 385. Model 1, predictor variable: SMU; outcome variable: positive affect. Model 2, predictor variables: SMU and positive affect; outcome variable: FoMO. Model 3, predictor variables: SMU, positive affect, and FoMO; outcome variable: offline and online self-presentation. Model 4, predictor variables: SMU, positive affect, FoMO, and offline and online self-presentation; outcome variable: SMA. SE, standard error. *p < 0.05, ***p < 0.001.