Table 3 Quantile regression model for depressive symptomatology at time 2 (Base model).

Variable	Coef	SE	CI_b 95% Low	CI_b 95% High	t_value	p_value
τ = 0.25
PSMU	0.161	0.041	0.081	0.242	3.934	< 0.001
SMF	0	0.023	−0.045	0.045	0	1
SMU	−0.012	0.010	−0.031	0.006	−1.299	0.194
CESD (T₁)	0.478	0.026	0.427	0.529	18.408	< 0.001
Age (T₁)	0.019	0.017	−0.015	0.052	1.080	0.280
Gender: Female	0.075	0.029	0.018	0.131	2.583	0.010
(Intercept)	0.379	0.240	−0.092	0.850	1.577	0.115
τ = 0.50
PSMU	0.217	0.050	0.119	0.315	4.349	< 0.001
SMF	0.014	0.024	−0.034	0.061	0.561	0.575
SMU	0.006	0.009	−0.012	0.023	0.652	0.515
CESD (T₁)	0.561	0.023	0.515	0.607	24.074	< 0.001
Age (T₁)	0.039	0.020	−0.000	0.079	1.939	0.053
Gender: Female	0.092	0.030	0.036	0.152	3.173	0.002
(Intercept)	0.165	0.274	−0.373	0.702	0.600	0.548
τ = 0.75
PSMU	0.210	0.054	0.105	0.316	3.912	< 0.001
SMF	0.050	0.026	−0.000	0.101	1.952	0.051
SMU	0.016	0.010	−0.004	0.036	1.557	0.120
CESD (T₁)	0.568	0.026	0.518	0.618	22.253	< 0.001
Age (T₁)	0.029	0.023	−0.015	0.074	1.286	0.199
Gender: Female	0.147	0.035	0.078	0.217	4.164	< 0.001
(Intercept)	0.548	0.312	−0.063	1.159	1.757	0.079

Note. τ represents the quantiles of the conditional distribution of depressive symptomatology at T₂. The 95% confidence intervals (CI_b 95%) were obtained using bootstrapping with n = 1000 resamples. SE = standard error. The t-value represents the test statistic based on standard errors estimated via bootstrapping. The p-value corresponds to the probability associated with a two-tailed test. Standardized coefficients were calculated using the z-score transformation of the variables. PSMU = Problematic Social Media Use (average of T₁ and T₂); SMF = Total Social Media Followers (average of T₁and T₂, expressed in thousands); SMU = Daily Social Media Usage Frequency (average of T₁and T₂); CESD (T₁) = Depressive Symptomatology (CESD, T₁); Age (T₁) = Age at T₁; Gender (T₁) = Gender at T₁.

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