Acta Psychologica Sinica ›› 2026, Vol. 58 ›› Issue (9): 1858-1872.doi: 10.3724/SP.J.1041.2026.1858
• Column on the Stress, Resilience, and Health • Previous Articles Next Articles
Published:2026-09-25
Online:2026-07-29
Contact:
WEI Shuhua, E-mail: sep_weish@ujn.edu.cn.
LI Deyu, WEI Shuhua. (2026). Heterogeneous development trajectories of adolescent internet gaming disorder: Etiological Factors and their dynamic variation characteristics. Acta Psychologica Sinica, 58(9), 1858-1872.
Add to citation manager EndNote|Ris|BibTeX
URL: https://journal.psych.ac.cn/acps/EN/10.3724/SP.J.1041.2026.1858
Figure 1. Distribution of IGD scores across three time waves for the four-class model. Note: C1, “high IGD level and rapidly increasing group”; C2, “moderate IGD level and stable group”; C3, “low IGD level and stable group”; C4, “high IGD level and increasing group”; Error bars in the figure represent M ± 1.96 SE.
| Difference value (normative development group - addictive development group) | p-value | ||||||
|---|---|---|---|---|---|---|---|
| T1 | T2 | T3 | T1 | T2 | T3 | ||
| Global Properties | Global Strength | 0.07 | 0.65 | 1.44 | 0.907 | 0.177 | 0.001 |
| Network Structure Invariance | 0.11 | 0.13 | 0.18 | 0.794 | 0.464 | 0.030 | |
Table 1 Results of network comparison analysis across groups at each time wave
| Difference value (normative development group - addictive development group) | p-value | ||||||
|---|---|---|---|---|---|---|---|
| T1 | T2 | T3 | T1 | T2 | T3 | ||
| Global Properties | Global Strength | 0.07 | 0.65 | 1.44 | 0.907 | 0.177 | 0.001 |
| Network Structure Invariance | 0.11 | 0.13 | 0.18 | 0.794 | 0.464 | 0.030 | |
| T1 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 0 | |||||||||||||||
| 2 | 0 | 0 | ||||||||||||||
| 3 | 0.20 | 0.24 | 0 | |||||||||||||
| 4 | -0.27 | 0.20 | 0 | 0 | ||||||||||||
| 5 | -0.06 | 0.05 | 0.07 | 0.27 | 0 | |||||||||||
| 6 | 0 | 0 | -0.03 | 0.03 | 0.11 | 0 | ||||||||||
| 7 | 0 | 0.02 | 0 | -0.02 | 0 | -0.09 | 0 | |||||||||
| 8 | 0 | 0 | 0 | -0.05 | 0 | -0.34 | 0.29 | 0 | ||||||||
| 9 | 0.11 | 0 | 0.03 | -0.11 | 0 | -0.17 | 0.23 | 0.09 | 0 | |||||||
| 10 | 0 | 0.02 | 0 | 0.05 | 0.09 | 0.05 | 0 | 0 | 0.02 | 0 | ||||||
| 11 | 0 | 0 | 0 | 0 | 0.10 | 0.08 | 0 | 0 | -0.04 | 0.13 | 0 | |||||
| 12 | 0 | 0.02 | 0 | 0.01 | 0.13 | 0 | 0 | 0 | 0 | 0.29 | 0.47 | 0 | ||||
| 13 | 0.07 | 0.05 | 0 | -0.03 | 0 | 0 | 0.09 | 0 | 0.13 | -0.10 | -0.04 | -0.01 | 0 | |||
| 14 | 0.07 | 0 | 0.06 | 0 | 0 | 0 | 0.03 | 0.01 | 0 | 0 | -0.04 | -0.14 | 0.21 | 0 | ||
| 15 | 0 | 0.10 | 0 | 0.03 | 0.08 | 0.14 | 0 | -0.06 | 0 | 0.08 | 0.01 | 0.01 | 0 | 0 | 0 | |
| 16 | 0.02 | -0.09 | 0 | 0 | 0 | 0 | 0.03 | 0 | 0.09 | 0 | -0.08 | 0 | 0.01 | 0.21 | -0.01 | 0 |
Table 2 Edge weights of the network model for the addictive development group at T1
| T1 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 0 | |||||||||||||||
| 2 | 0 | 0 | ||||||||||||||
| 3 | 0.20 | 0.24 | 0 | |||||||||||||
| 4 | -0.27 | 0.20 | 0 | 0 | ||||||||||||
| 5 | -0.06 | 0.05 | 0.07 | 0.27 | 0 | |||||||||||
| 6 | 0 | 0 | -0.03 | 0.03 | 0.11 | 0 | ||||||||||
| 7 | 0 | 0.02 | 0 | -0.02 | 0 | -0.09 | 0 | |||||||||
| 8 | 0 | 0 | 0 | -0.05 | 0 | -0.34 | 0.29 | 0 | ||||||||
| 9 | 0.11 | 0 | 0.03 | -0.11 | 0 | -0.17 | 0.23 | 0.09 | 0 | |||||||
| 10 | 0 | 0.02 | 0 | 0.05 | 0.09 | 0.05 | 0 | 0 | 0.02 | 0 | ||||||
| 11 | 0 | 0 | 0 | 0 | 0.10 | 0.08 | 0 | 0 | -0.04 | 0.13 | 0 | |||||
| 12 | 0 | 0.02 | 0 | 0.01 | 0.13 | 0 | 0 | 0 | 0 | 0.29 | 0.47 | 0 | ||||
| 13 | 0.07 | 0.05 | 0 | -0.03 | 0 | 0 | 0.09 | 0 | 0.13 | -0.10 | -0.04 | -0.01 | 0 | |||
| 14 | 0.07 | 0 | 0.06 | 0 | 0 | 0 | 0.03 | 0.01 | 0 | 0 | -0.04 | -0.14 | 0.21 | 0 | ||
| 15 | 0 | 0.10 | 0 | 0.03 | 0.08 | 0.14 | 0 | -0.06 | 0 | 0.08 | 0.01 | 0.01 | 0 | 0 | 0 | |
| 16 | 0.02 | -0.09 | 0 | 0 | 0 | 0 | 0.03 | 0 | 0.09 | 0 | -0.08 | 0 | 0.01 | 0.21 | -0.01 | 0 |
| T2 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 0 | |||||||||||||||
| 2 | 0 | 0 | ||||||||||||||
| 3 | 0.21 | 0.26 | 0 | |||||||||||||
| 4 | -0.27 | 0.21 | 0 | 0 | ||||||||||||
| 5 | -0.04 | 0 | 0.12 | 0.24 | 0 | |||||||||||
| 6 | 0 | 0 | 0 | 0.18 | 0.11 | 0 | ||||||||||
| 7 | 0.02 | 0 | 0.09 | -0.01 | 0 | -0.02 | 0 | |||||||||
| 8 | 0.04 | 0 | 0 | -0.02 | 0 | -0.27 | 0.33 | 0 | ||||||||
| 9 | 0.11 | 0 | 0 | -0.02 | 0 | -0.10 | 0.18 | 0.10 | 0 | |||||||
| 10 | 0 | 0.06 | 0 | 0.09 | 0.11 | 0.07 | 0 | 0 | -0.03 | 0 | ||||||
| 11 | 0 | 0 | -0.02 | 0 | 0.08 | 0.06 | 0 | 0 | -0.06 | 0.02 | 0 | |||||
| 12 | -0.02 | 0.01 | -0.02 | 0 | 0.05 | 0 | 0 | 0 | 0 | 0.39 | 0.55 | 0 | ||||
| 13 | 0 | 0 | 0 | -0.04 | 0 | 0 | 0.22 | 0 | 0.11 | 0 | -0.03 | 0 | 0 | |||
| 14 | 0.03 | 0 | 0.07 | 0 | 0 | 0 | 0.01 | 0.05 | 0 | 0 | -0.04 | -0.05 | 0.21 | 0 | ||
| 15 | -0.02 | 0.09 | 0 | 0.02 | 0.10 | 0.24 | 0 | -0.03 | -0.12 | 0.07 | 0 | 0.03 | -0.13 | 0 | 0 | |
| 16 | 0.03 | 0 | 0.02 | -0.06 | 0 | 0 | 0 | 0 | 0.05 | 0 | 0 | 0 | 0.09 | 0.10 | -0.09 | 0 |
Table 3 Edge weights of the network model for the addictive development group at T2
| T2 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 0 | |||||||||||||||
| 2 | 0 | 0 | ||||||||||||||
| 3 | 0.21 | 0.26 | 0 | |||||||||||||
| 4 | -0.27 | 0.21 | 0 | 0 | ||||||||||||
| 5 | -0.04 | 0 | 0.12 | 0.24 | 0 | |||||||||||
| 6 | 0 | 0 | 0 | 0.18 | 0.11 | 0 | ||||||||||
| 7 | 0.02 | 0 | 0.09 | -0.01 | 0 | -0.02 | 0 | |||||||||
| 8 | 0.04 | 0 | 0 | -0.02 | 0 | -0.27 | 0.33 | 0 | ||||||||
| 9 | 0.11 | 0 | 0 | -0.02 | 0 | -0.10 | 0.18 | 0.10 | 0 | |||||||
| 10 | 0 | 0.06 | 0 | 0.09 | 0.11 | 0.07 | 0 | 0 | -0.03 | 0 | ||||||
| 11 | 0 | 0 | -0.02 | 0 | 0.08 | 0.06 | 0 | 0 | -0.06 | 0.02 | 0 | |||||
| 12 | -0.02 | 0.01 | -0.02 | 0 | 0.05 | 0 | 0 | 0 | 0 | 0.39 | 0.55 | 0 | ||||
| 13 | 0 | 0 | 0 | -0.04 | 0 | 0 | 0.22 | 0 | 0.11 | 0 | -0.03 | 0 | 0 | |||
| 14 | 0.03 | 0 | 0.07 | 0 | 0 | 0 | 0.01 | 0.05 | 0 | 0 | -0.04 | -0.05 | 0.21 | 0 | ||
| 15 | -0.02 | 0.09 | 0 | 0.02 | 0.10 | 0.24 | 0 | -0.03 | -0.12 | 0.07 | 0 | 0.03 | -0.13 | 0 | 0 | |
| 16 | 0.03 | 0 | 0.02 | -0.06 | 0 | 0 | 0 | 0 | 0.05 | 0 | 0 | 0 | 0.09 | 0.10 | -0.09 | 0 |
| T3 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 0 | |||||||||||||||
| 2 | 0 | 0 | ||||||||||||||
| 3 | 0.16 | 0.25 | 0 | |||||||||||||
| 4 | -0.27 | 0.15 | 0 | 0 | ||||||||||||
| 5 | 0 | 0.02 | 0 | 0.26 | 0 | |||||||||||
| 6 | 0 | 0 | 0 | 0.12 | 0.20 | 0 | ||||||||||
| 7 | 0.01 | 0 | 0 | -0.05 | 0 | -0.06 | 0 | |||||||||
| 8 | 0 | 0 | 0 | -0.10 | 0 | -0.21 | 0.36 | 0 | ||||||||
| 9 | 0.11 | 0 | 0.04 | 0 | 0 | -0.12 | 0.17 | 0.03 | 0 | |||||||
| 10 | 0 | 0.06 | 0 | 0 | 0.16 | 0.06 | 0 | 0 | -0.03 | 0 | ||||||
| 11 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 | 0 | -0.02 | 0.18 | 0 | |||||
| 12 | 0 | 0.03 | 0 | 0.02 | 0.03 | 0 | 0.03 | 0 | 0 | 0.39 | 0.49 | 0 | ||||
| 13 | 0.03 | 0 | 0 | 0 | -0.02 | 0 | 0.16 | 0 | 0.13 | -0.05 | -0.06 | 0 | 0 | |||
| 14 | 0.02 | 0 | 0.09 | 0 | 0 | 0 | 0.13 | 0 | 0 | 0 | -0.01 | -0.02 | 0.22 | 0 | ||
| 15 | 0 | 0 | 0 | 0.10 | 0.03 | 0.12 | 0 | -0.13 | 0 | 0.12 | 0 | 0 | -0.16 | -0.06 | 0 | |
| 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01 | 0 | 0 |
Table 4 Edge weights of the network model for the addictive development group at T3
| T3 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 0 | |||||||||||||||
| 2 | 0 | 0 | ||||||||||||||
| 3 | 0.16 | 0.25 | 0 | |||||||||||||
| 4 | -0.27 | 0.15 | 0 | 0 | ||||||||||||
| 5 | 0 | 0.02 | 0 | 0.26 | 0 | |||||||||||
| 6 | 0 | 0 | 0 | 0.12 | 0.20 | 0 | ||||||||||
| 7 | 0.01 | 0 | 0 | -0.05 | 0 | -0.06 | 0 | |||||||||
| 8 | 0 | 0 | 0 | -0.10 | 0 | -0.21 | 0.36 | 0 | ||||||||
| 9 | 0.11 | 0 | 0.04 | 0 | 0 | -0.12 | 0.17 | 0.03 | 0 | |||||||
| 10 | 0 | 0.06 | 0 | 0 | 0.16 | 0.06 | 0 | 0 | -0.03 | 0 | ||||||
| 11 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 | 0 | -0.02 | 0.18 | 0 | |||||
| 12 | 0 | 0.03 | 0 | 0.02 | 0.03 | 0 | 0.03 | 0 | 0 | 0.39 | 0.49 | 0 | ||||
| 13 | 0.03 | 0 | 0 | 0 | -0.02 | 0 | 0.16 | 0 | 0.13 | -0.05 | -0.06 | 0 | 0 | |||
| 14 | 0.02 | 0 | 0.09 | 0 | 0 | 0 | 0.13 | 0 | 0 | 0 | -0.01 | -0.02 | 0.22 | 0 | ||
| 15 | 0 | 0 | 0 | 0.10 | 0.03 | 0.12 | 0 | -0.13 | 0 | 0.12 | 0 | 0 | -0.16 | -0.06 | 0 | |
| 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01 | 0 | 0 |
| T1 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 0 | |||||||||||||||
| 2 | 0 | 0 | ||||||||||||||
| 3 | 0.09 | 0.23 | 0 | |||||||||||||
| 4 | -0.33 | 0.21 | 0 | 0 | ||||||||||||
| 5 | -0.06 | 0.07 | 0.04 | 0.35 | 0 | |||||||||||
| 6 | 0 | 0 | 0 | 0.05 | 0.15 | 0 | ||||||||||
| 7 | 0 | 0.04 | 0 | -0.01 | 0 | -0.08 | 0 | |||||||||
| 8 | 0.07 | 0 | 0 | -0.01 | -0.02 | -0.31 | 0.21 | 0 | ||||||||
| 9 | 0.09 | 0 | 0.01 | -0.01 | 0 | -0.18 | 0.27 | 0.15 | 0 | |||||||
| 10 | -0.01 | 0.06 | 0 | 0.07 | 0.04 | 0.03 | 0 | 0 | 0 | 0 | ||||||
| 11 | -0.01 | 0 | -0.06 | 0.02 | 0.05 | 0.06 | 0 | -0.02 | 0 | 0.11 | 0 | |||||
| 12 | -0.06 | 0.08 | -0.02 | 0.02 | 0.07 | 0 | 0 | -0.02 | 0 | 0.32 | 0.51 | 0 | ||||
| 13 | 0.10 | 0 | 0.02 | 0 | 0 | 0 | 0.17 | 0 | 0.11 | -0.02 | 0 | 0 | 0 | |||
| 14 | 0 | 0.02 | 0.05 | 0 | 0 | 0 | 0.02 | 0.07 | 0 | 0 | -0.11 | -0.05 | 0.20 | 0 | ||
| 15 | -0.01 | 0.09 | 0 | 0.01 | 0.07 | 0.15 | 0 | -0.07 | -0.04 | 0.13 | 0.03 | 0.05 | -0.02 | 0 | 0 | |
| 16 | 0 | 0.02 | 0.02 | -0.02 | 0 | 0 | 0 | 0 | 0.09 | 0 | -0.10 | 0 | 0.08 | 0.18 | -0.02 | 0 |
Table 5 Edge weights of the network model for the normative development group at T1
| T1 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 0 | |||||||||||||||
| 2 | 0 | 0 | ||||||||||||||
| 3 | 0.09 | 0.23 | 0 | |||||||||||||
| 4 | -0.33 | 0.21 | 0 | 0 | ||||||||||||
| 5 | -0.06 | 0.07 | 0.04 | 0.35 | 0 | |||||||||||
| 6 | 0 | 0 | 0 | 0.05 | 0.15 | 0 | ||||||||||
| 7 | 0 | 0.04 | 0 | -0.01 | 0 | -0.08 | 0 | |||||||||
| 8 | 0.07 | 0 | 0 | -0.01 | -0.02 | -0.31 | 0.21 | 0 | ||||||||
| 9 | 0.09 | 0 | 0.01 | -0.01 | 0 | -0.18 | 0.27 | 0.15 | 0 | |||||||
| 10 | -0.01 | 0.06 | 0 | 0.07 | 0.04 | 0.03 | 0 | 0 | 0 | 0 | ||||||
| 11 | -0.01 | 0 | -0.06 | 0.02 | 0.05 | 0.06 | 0 | -0.02 | 0 | 0.11 | 0 | |||||
| 12 | -0.06 | 0.08 | -0.02 | 0.02 | 0.07 | 0 | 0 | -0.02 | 0 | 0.32 | 0.51 | 0 | ||||
| 13 | 0.10 | 0 | 0.02 | 0 | 0 | 0 | 0.17 | 0 | 0.11 | -0.02 | 0 | 0 | 0 | |||
| 14 | 0 | 0.02 | 0.05 | 0 | 0 | 0 | 0.02 | 0.07 | 0 | 0 | -0.11 | -0.05 | 0.20 | 0 | ||
| 15 | -0.01 | 0.09 | 0 | 0.01 | 0.07 | 0.15 | 0 | -0.07 | -0.04 | 0.13 | 0.03 | 0.05 | -0.02 | 0 | 0 | |
| 16 | 0 | 0.02 | 0.02 | -0.02 | 0 | 0 | 0 | 0 | 0.09 | 0 | -0.10 | 0 | 0.08 | 0.18 | -0.02 | 0 |
| T2 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 0 | |||||||||||||||
| 2 | -0.01 | 0 | ||||||||||||||
| 3 | 0.13 | 0.22 | 0 | |||||||||||||
| 4 | -0.31 | 0.19 | 0 | 0 | ||||||||||||
| 5 | -0.16 | 0.09 | 0.08 | 0.27 | 0 | |||||||||||
| 6 | 0 | 0.02 | 0 | 0.05 | 0.10 | 0 | ||||||||||
| 7 | 0 | 0.06 | 0 | 0 | 0 | -0.03 | 0 | |||||||||
| 8 | 0.08 | -0.01 | -0.03 | -0.02 | 0 | -0.37 | 0.24 | 0 | ||||||||
| 9 | 0.06 | 0.04 | 0.01 | -0.10 | 0 | -0.15 | 0.30 | 0.14 | 0 | |||||||
| 10 | 0 | 0.12 | 0 | 0.09 | 0.09 | 0.04 | 0 | 0 | 0 | 0 | ||||||
| 11 | 0 | 0 | -0.10 | 0.04 | 0.09 | 0.04 | 0 | -0.04 | -0.04 | 0.03 | 0 | |||||
| 12 | -0.05 | 0.07 | 0 | 0 | 0.07 | 0.02 | 0.03 | -0.02 | 0.02 | 0.40 | 0.51 | 0 | ||||
| 13 | 0.13 | 0.08 | 0.03 | 0 | 0 | -0.02 | 0.11 | 0.01 | 0.07 | -0.05 | -0.03 | 0 | 0 | |||
| 14 | 0.03 | 0.02 | 0.07 | 0 | 0 | 0 | 0.01 | 0.05 | 0 | 0 | -0.03 | -0.12 | 0.21 | 0 | ||
| 15 | -0.04 | 0.09 | 0 | 0 | 0.06 | 0.14 | -0.04 | -0.08 | -0.03 | 0.08 | 0.01 | 0.07 | -0.01 | 0 | 0 | |
| 16 | 0 | 0 | 0.03 | -0.02 | -0.03 | 0 | 0.02 | 0 | 0.15 | 0 | 0 | -0.01 | 0.12 | 0.10 | 0 | 0 |
Table 6 Edge weights of the network model for the normative development group at T2
| T2 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 0 | |||||||||||||||
| 2 | -0.01 | 0 | ||||||||||||||
| 3 | 0.13 | 0.22 | 0 | |||||||||||||
| 4 | -0.31 | 0.19 | 0 | 0 | ||||||||||||
| 5 | -0.16 | 0.09 | 0.08 | 0.27 | 0 | |||||||||||
| 6 | 0 | 0.02 | 0 | 0.05 | 0.10 | 0 | ||||||||||
| 7 | 0 | 0.06 | 0 | 0 | 0 | -0.03 | 0 | |||||||||
| 8 | 0.08 | -0.01 | -0.03 | -0.02 | 0 | -0.37 | 0.24 | 0 | ||||||||
| 9 | 0.06 | 0.04 | 0.01 | -0.10 | 0 | -0.15 | 0.30 | 0.14 | 0 | |||||||
| 10 | 0 | 0.12 | 0 | 0.09 | 0.09 | 0.04 | 0 | 0 | 0 | 0 | ||||||
| 11 | 0 | 0 | -0.10 | 0.04 | 0.09 | 0.04 | 0 | -0.04 | -0.04 | 0.03 | 0 | |||||
| 12 | -0.05 | 0.07 | 0 | 0 | 0.07 | 0.02 | 0.03 | -0.02 | 0.02 | 0.40 | 0.51 | 0 | ||||
| 13 | 0.13 | 0.08 | 0.03 | 0 | 0 | -0.02 | 0.11 | 0.01 | 0.07 | -0.05 | -0.03 | 0 | 0 | |||
| 14 | 0.03 | 0.02 | 0.07 | 0 | 0 | 0 | 0.01 | 0.05 | 0 | 0 | -0.03 | -0.12 | 0.21 | 0 | ||
| 15 | -0.04 | 0.09 | 0 | 0 | 0.06 | 0.14 | -0.04 | -0.08 | -0.03 | 0.08 | 0.01 | 0.07 | -0.01 | 0 | 0 | |
| 16 | 0 | 0 | 0.03 | -0.02 | -0.03 | 0 | 0.02 | 0 | 0.15 | 0 | 0 | -0.01 | 0.12 | 0.10 | 0 | 0 |
| T3 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 0 | |||||||||||||||
| 2 | 0 | 0 | ||||||||||||||
| 3 | 0.10 | 0.27 | 0 | |||||||||||||
| 4 | -0.28 | 0.26 | -0.03 | 0 | ||||||||||||
| 5 | -0.18 | 0.06 | 0.05 | 0.30 | 0 | |||||||||||
| 6 | 0 | 0.01 | 0 | 0.02 | 0.15 | 0 | ||||||||||
| 7 | 0.02 | 0.07 | -0.01 | 0 | 0 | -0.05 | 0 | |||||||||
| 8 | 0.05 | -0.03 | 0 | -0.06 | 0 | -0.39 | 0.22 | 0 | ||||||||
| 9 | 0.08 | 0.01 | 0 | -0.07 | 0 | -0.15 | 0.29 | 0.10 | 0 | |||||||
| 10 | 0 | 0.13 | 0 | 0.06 | 0.10 | 0.07 | 0 | 0 | 0 | 0 | ||||||
| 11 | 0 | 0.03 | -0.10 | 0 | 0.04 | 0.01 | 0.02 | -0.04 | -0.01 | 0.11 | 0 | |||||
| 12 | -0.05 | 0.03 | 0 | 0 | 0.08 | 0.04 | 0.02 | 0 | 0 | 0.37 | 0.57 | 0 | ||||
| 13 | 0.12 | 0.06 | 0.04 | 0 | 0 | 0 | 0.15 | 0.04 | 0.12 | -0.02 | -0.03 | 0 | 0 | |||
| 14 | 0 | 0.05 | 0.08 | 0 | 0 | 0 | 0.01 | 0.08 | 0 | 0 | -0.07 | -0.07 | 0.24 | 0 | ||
| 15 | -0.04 | 0.10 | 0 | 0 | 0.05 | 0.15 | -0.03 | -0.07 | 0 | 0.09 | 0.07 | 0.02 | 0 | -0.01 | 0 | |
| 16 | 0 | 0 | 0.03 | -0.05 | -0.03 | -0.01 | 0.05 | 0 | 0.05 | 0 | 0 | -0.02 | 0.05 | 0.13 | -0.04 | 0 |
Table 7 Edge weights of the network model for the normative development group at T3
| T3 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 0 | |||||||||||||||
| 2 | 0 | 0 | ||||||||||||||
| 3 | 0.10 | 0.27 | 0 | |||||||||||||
| 4 | -0.28 | 0.26 | -0.03 | 0 | ||||||||||||
| 5 | -0.18 | 0.06 | 0.05 | 0.30 | 0 | |||||||||||
| 6 | 0 | 0.01 | 0 | 0.02 | 0.15 | 0 | ||||||||||
| 7 | 0.02 | 0.07 | -0.01 | 0 | 0 | -0.05 | 0 | |||||||||
| 8 | 0.05 | -0.03 | 0 | -0.06 | 0 | -0.39 | 0.22 | 0 | ||||||||
| 9 | 0.08 | 0.01 | 0 | -0.07 | 0 | -0.15 | 0.29 | 0.10 | 0 | |||||||
| 10 | 0 | 0.13 | 0 | 0.06 | 0.10 | 0.07 | 0 | 0 | 0 | 0 | ||||||
| 11 | 0 | 0.03 | -0.10 | 0 | 0.04 | 0.01 | 0.02 | -0.04 | -0.01 | 0.11 | 0 | |||||
| 12 | -0.05 | 0.03 | 0 | 0 | 0.08 | 0.04 | 0.02 | 0 | 0 | 0.37 | 0.57 | 0 | ||||
| 13 | 0.12 | 0.06 | 0.04 | 0 | 0 | 0 | 0.15 | 0.04 | 0.12 | -0.02 | -0.03 | 0 | 0 | |||
| 14 | 0 | 0.05 | 0.08 | 0 | 0 | 0 | 0.01 | 0.08 | 0 | 0 | -0.07 | -0.07 | 0.24 | 0 | ||
| 15 | -0.04 | 0.10 | 0 | 0 | 0.05 | 0.15 | -0.03 | -0.07 | 0 | 0.09 | 0.07 | 0.02 | 0 | -0.01 | 0 | |
| 16 | 0 | 0 | 0.03 | -0.05 | -0.03 | -0.01 | 0.05 | 0 | 0.05 | 0 | 0 | -0.02 | 0.05 | 0.13 | -0.04 | 0 |
Figure 2. Network models of the addictive development group across three time waves. Note: (a) Network model of the addictive development group at T1; (b) Network model of the addictive development group at T2; (c) Network model of the addictive development group at T3. Blue lines represent edges with positive partial correlations, while red lines represent edges with negative partial correlations; the thickness of an edge indicates the magnitude of its edge weight.
Figure 3. Network models of the normative development group across three time waves. Note: (a) Network model of the normative development group at T1; (b) Network model of the normative development group at T2; (c) Network model of the normative development group at T3. Blue lines represent edges with positive partial correlations, while red lines represent edges with negative partial correlations; the thickness of an edge indicates the magnitude of its edge weight.
Figure 4. Node strength centrality across three time waves for the addictive development group (left) and the normative development group (right). Note: IND2, self-esteem; SCH3, school belonging; FAM1, family functioning; FAM2, harsh parenting; FAM3, parental marital conflict; FAM4, parental psychological control; IND1, extraversion; IND3, resilience; IND4, neuroticism; IND5, sensation seeking; NBH1, neighborhood resources; SCH1, peer support; SCH2, teacher support; SCH4, peer victimization; SCH5, deviant peer affiliation.
| [1] |
Bauer D. J., & Curran P. J. (2003a). Distributional assumptions of growth mixture models: Implications for overextraction of latent trajectory classes. Psychological Methods, 8(3), 338-363.
doi: 10.1037/1082-989X.8.3.338 URL |
| [2] |
Bauer D. J., & Curran P. J. (2003b). Overextraction of latent trajectory classes: Much ado about nothing? Reply to Rindskopf (2003), Muthén (2003), and Cudeck and Henly (2003). Psychological Methods, 8(3), 384-393.
doi: 10.1037/1082-989X.8.3.384 URL |
| [3] |
Borsboom D. (2017). A network theory of mental disorders. World Psychiatry, 16(1), 5-13.
doi: 10.1002/wps.v16.1 URL |
| [4] | Cramer A. O., Van Borkulo C. D., Giltay E. J., Van Der Maas H. L., Kendler K. S., Scheffer M., & Borsboom D. (2016). Major depression as a complex dynamic system. PloS One, 11(12), Article e0167490. |
| [5] | Isvoranu, A. M., Epskamp S., Waldorp L., & Borsboom D. (Eds.). (2022). Network psychometrics with R: A guide for behavioral and social scientists. Routledge. |
| [6] |
Jung T., & Wickrama K. A. S. (2008). An introduction to latent class growth analysis and growth mixture modeling. Social and Personality Psychology Compass, 2(1), 302-317.
doi: 10.1111/spco.2008.2.issue-1 URL |
| [7] | Liu M., Zhuang A., Norvilitis J. M., & Xiao T. (2024). Usage patterns of short videos and social media among adolescents and psychological health: A latent profile analysis. Computers in Human Behavior, 151, Article 108007. |
| [8] |
Liu Y., Hu C., Fan F., Sun P., Xu J., Cai Y., & Liu X. (2021). A new perspective of substance addiction based on network theory. Advances in Psychological Science, 29(02), 296-310.
doi: 10.3724/SP.J.1042.2021.00296 URL |
| [9] | Muthén, B. (2004). Latent variable analysis:Growth mixture modeling and related techniques for longitudinal data. In D.Kaplan (Ed.), The SAGE handbook of quantitative methodology for the social sciences (pp. 346-369). SAGE Publications, Inc. |
| [10] |
Muthén B., & Muthén L. K. (2000). Integrating person‐centered and variable-centered analyses: Growth mixture modeling with latent trajectory classes. Alcoholism: Clinical and Experimental Research, 24(6), 882-891.
doi: 10.1111/acer.2000.24.issue-6 URL |
| No related articles found! |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||
