高中生网络成瘾与未来时间洞察力的纵向关系：抑郁的中介作用

doi:10.12139/j.1672-0628.2024.05.013

摘要/Abstract

摘要：

为深入探讨高中生网络成瘾、抑郁和未来时间洞察力的纵向联系及内在作用机制，采用整群抽样对697名高中生进行了六个月的追踪调查。结果表明：(1)网络成瘾与未来时间洞察力存在相互负向预测关系；(2)T1网络成瘾对T2抑郁有显著的正向预测作用，T1抑郁对T2未来时间洞察力有显著的负向预测作用；(3)抑郁在网络成瘾与未来时间洞察力中的中介效应在不同性别的高中生群体存在差异。结果揭示了高中生网络成瘾对未来时间洞察力的影响，并证明抑郁在其中起中介作用。

关键词: 高中生, 未来时间洞察力, 网络成瘾, 抑郁

Abstract:

Internet addiction is associated with various negative outcomes. This study conducted a six-month follow-up survey using cluster sampling to explore the longitudinal relationships and underlying mechanisms among internet addiction, depression, and future time perspective in 697 high school students. The results showed that: 1) there was a reciprocal negative predictive relationship between internet addiction and future time perspective; 2) T1 internet addiction positively predicted T2 depression, and T1 depression negatively predicted T2 future time perspective; 3) the mediating effect of depression between internet addiction and future time perspective differed between male and female high school students. These findings indicate that internet addiction has a significant impact on future time perspective among high school students, with depression playing a mediating role in this relationship.

Key words: high school students, future time perspective, internet addiction, depression

肖皓月, 张杉, 郝海平, 吕厚超. 高中生网络成瘾与未来时间洞察力的纵向关系：抑郁的中介作用[J]. 心理与行为研究, 2024, 22(5): 673-681.

Haoyue XIAO, Shan ZHANG, Haiping HAO, Houchao LYU. The Longitudinal Relationship Between Internet Addiction and Future Time Perspective Among High School Students: The Mediating Role of Depression[J]. Studies of Psychology and Behavior, 2024, 22(5): 673-681.

图/表 6

参考文献 0

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变量	1	2	3	4	5	6	7	8
1. 性别
2. 年龄	−0.097^*
3. T1网络成瘾	−0.085^*	−0.017
4. T2网络成瘾	−0.001	−0.046	0.462^**
5. T1抑郁	−0.004	0.029	0.354^**	0.290^**
6. T2抑郁	−0.080^*	0.018	0.277^**	0.417^**	0.515^**
7. T1未来时间洞察力	0.003	−0.039	−0.300^**	−0.215^**	−0.343^**	−0.222^**
8. T2未来时间洞察力	−0.110^**	−0.002	−0.193^**	−0.317^**	−0.300^**	−0.383^**	0.315^**
均值(标准差)		16.39(0.94)	2.86(2.58)	3.34(2.93)	10.67(4.68)	11.03(5.21)	17.42(3.16)	16.63(3.52)

变量	1	2	3	4	5	6	7	8
1. 性别
2. 年龄	−0.097^*
3. T1网络成瘾	−0.085^*	−0.017
4. T2网络成瘾	−0.001	−0.046	0.462^**
5. T1抑郁	−0.004	0.029	0.354^**	0.290^**
6. T2抑郁	−0.080^*	0.018	0.277^**	0.417^**	0.515^**
7. T1未来时间洞察力	0.003	−0.039	−0.300^**	−0.215^**	−0.343^**	−0.222^**
8. T2未来时间洞察力	−0.110^**	−0.002	−0.193^**	−0.317^**	−0.300^**	−0.383^**	0.315^**
均值(标准差)		16.39(0.94)	2.86(2.58)	3.34(2.93)	10.67(4.68)	11.03(5.21)	17.42(3.16)	16.63(3.52)

变量	模型	χ²	df	CFI	TLI	RMSEA	90 % CI	SRMR	模型比较	∆χ²	∆df	p	∆CFI	∆TLI
网络成瘾	M1	433.40	159	0.93	0.91	0.05	[0.04, 0.06]	0.04
	M2	442.53	168	0.93	0.92	0.05	[0.04, 0.05]	0.04	M2-M1	9.13	9	>0.05
	M3	483.84	178	0.92	0.91	0.05	[0.04, 0.06]	0.05	M3-M2	41.32	10	<0.05	−0.008	−0.004
	M4	521.97	188	0.91	0.91	0.05	[0.05, 0.06]	0.05	M4-M3	38.12	10	<0.05	−0.007	−0.003
抑郁	M1	618.92	157	0.92	0.90	0.07	[0.06, 0.07]	0.05
	M2	623.56	166	0.92	0.91	0.06	[0.06, 0.07]	0.05	M2-M1	4.64	9	>0.05
	M3	648.66	176	0.92	0.91	0.06	[0.06, 0.07]	0.06	M3-M2	25.10	10	<0.05	−0.002	0.002
	M4	676.61	186	0.91	0.91	0.06	[0.06, 0.07]	0.06	M4-M3	27.95	10	<0.05	−0.004	0.002
未来时间洞察力	M1	67.52	29	0.98	0.97	0.04	[0.03, 0.06]	0.03
	M2	71.05	33	0.98	0.98	0.04	[0.03, 0.05]	0.03	M2-M1	3.53	4	>0.05
	M3	110.94	38	0.97	0.96	0.05	[0.04, 0.06]	0.05	M3-M2	39.89	5	<0.05	−0.016	−0.016
	M4	117.72	43	0.97	0.96	0.05	[0.04, 0.06]	0.06	M4-M3	6.77	5	>0.05

变量	模型	χ²	df	CFI	TLI	RMSEA	90 % CI	SRMR	模型比较	∆χ²	∆df	p	∆CFI	∆TLI
网络成瘾	M1	433.40	159	0.93	0.91	0.05	[0.04, 0.06]	0.04
	M2	442.53	168	0.93	0.92	0.05	[0.04, 0.05]	0.04	M2-M1	9.13	9	>0.05
	M3	483.84	178	0.92	0.91	0.05	[0.04, 0.06]	0.05	M3-M2	41.32	10	<0.05	−0.008	−0.004
	M4	521.97	188	0.91	0.91	0.05	[0.05, 0.06]	0.05	M4-M3	38.12	10	<0.05	−0.007	−0.003
抑郁	M1	618.92	157	0.92	0.90	0.07	[0.06, 0.07]	0.05
	M2	623.56	166	0.92	0.91	0.06	[0.06, 0.07]	0.05	M2-M1	4.64	9	>0.05
	M3	648.66	176	0.92	0.91	0.06	[0.06, 0.07]	0.06	M3-M2	25.10	10	<0.05	−0.002	0.002
	M4	676.61	186	0.91	0.91	0.06	[0.06, 0.07]	0.06	M4-M3	27.95	10	<0.05	−0.004	0.002
未来时间洞察力	M1	67.52	29	0.98	0.97	0.04	[0.03, 0.06]	0.03
	M2	71.05	33	0.98	0.98	0.04	[0.03, 0.05]	0.03	M2-M1	3.53	4	>0.05
	M3	110.94	38	0.97	0.96	0.05	[0.04, 0.06]	0.05	M3-M2	39.89	5	<0.05	−0.016	−0.016
	M4	117.72	43	0.97	0.96	0.05	[0.04, 0.06]	0.06	M4-M3	6.77	5	>0.05

模型	χ²	df	GFI	CFI	IFI	RMSEA
M1	25.399	6	0.988	0.978	0.978	0.068
M2	32.159	12	0.985	0.977	0.977	0.049
M3	60.109	24	0.973	0.958	0.959	0.047