Table 3.

Hierarchical regression analysis in predicting depression at T2.

Variables	B	SE	β	t	R square	Adjusted R square	R square change	F	p
Step 1					.310	.309	.310	311.755	.000
Depression_T1	.559	.023	.552	24.722⁎⁎⁎
Quarantine_T1	-.063	.030	-.047	-2.096*
Step 2					.321	.318	.011	109.075	.000
Depression_T1	.556	.022	.549	24.733⁎⁎⁎
Quarantine_T1	-.053	.030	-.040	-1.779
Gender	.021	.024	.020	.883
Age	-.004	.002	-.070	-2.625⁎⁎
Education	.011	.016	.016	.698
Monthly income	-.016	.010	-.043	-1.587
Step 3					.362	.359	.041	98.146	.000
Depression_T1	.572	.022	.565	26.121⁎⁎⁎
Quarantine_T1	-.049	.030	-.036	-1.624
Gender	.024	.023	.023	1.032
Age	-.003	.002	-.056	-2.181⁎, ⁎⁎, ⁎⁎⁎
Education	.022	.016	.032	1.389
Monthly income	-.020	.010	-.054	-2.042*
Δ PSS10	.200	.022	.194	8.945⁎⁎⁎
Quarantine_T2	-.061	.021	-.063	-2.853⁎⁎

Note: Δ PSS10 = Perceived stress at T2 minus perceived stress at T1.

^⁎p < .05;

^⁎⁎p < .01;

^⁎⁎⁎p < .001.