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Network analysis of the relationship between life events, social support and depressive symptoms among college student from different years
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Hui ZHU1, Jun WU2, Jianfei DING1, Yuhui WAN3
Chinese Journal of Disease Control and Prevention | 2026, 30(2) : 202 - 209
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Chinese Journal of Disease Control and Prevention | 2026, 30(2): 202-209
Original Articles
Network analysis of the relationship between life events, social support and depressive symptoms among college student from different years
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Hui ZHU1, Jun WU2, Jianfei DING1, Yuhui WAN3
Affiliations
  • 1School of Marxism, Anhui Medical University, Hefei 230032, China
  • 2Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
  • 3Department of Health Promotion and Behavioural Sciences, School of Public Health, Anhui Medical University, Hefei 230032, China
Published: 2026-02-10 doi: 10.16462/j.cnki.zhjbkz.2026.02.011
Outline
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Objective

To explore the relative contribution of multidimensional influential factors on depressive symptoms among college students and to compare the differences in key influencing factors between different years, to provide evidence for the preventive intervention of depression among current college students.

Methods

Clinical medicine students from a medical university were selected as research subjects in 2011 and 2024, respectively. The center for epidemiological studies depression scale (CES-D), life events scale, and social support rating scale were used to assess depressive symptoms, recent negative life events, and social support levels. Network analysis was employed to construct networks of life events, social support, and depressive symptoms among university students. The association strengths between different dimensions of life events, social support, and depressive symptoms were analyzed to identify the most central "symptoms" and activating factors within the networks. Network comparison tests (NCT) were used to explore differences between the networks of the two years.

Results

The detection rates of depressive symptoms among college students in the two survey years were 28.3% and 37.1%, respectively. Statistically significant differences (P < 0.05) were observed in scores for objective support (t=101.68), subjective support (t=7.31), total social support (t=50.93), loss factor (t=2.54), punishment factor (t=-3.62), academic factor (t=5.19), and other factors (t=-8.57). Were statistically significant. Varying strengths of association were found between different dimensions of depressive symptoms and recent negative life events and social support among college students. The node with the highest expected influence (EI) in both years was D1 (depressive mood). The node with the highest bridge expected influence (BEI) was D3 (somatic symptoms) and D1 (depressive mood) in the respective years. Network comparison test results showed a statistically significant difference in the overall network strength between the two years (Global Strength2011=3.83, Global Strength2024=4.40, P < 0.001). The EI values of E2 (punishment factor), E5 (health adaptation factor), SS1 (objective support), and SS2 (subjective support) differed significantly between the year groups (P < 0.001). The BEI values of SS2 (subjective support) and D3 (somatic symptoms) also differed between the year groups (P=0.01).

Conclusions

The detection rate of depressive symptoms among college students in 2024 was higher than that in 2011, and the pattern of associations between social support, recent negative life events, and depressive symptoms has changed. The findings highlight the important roles of academic pressure, peer relationships, and social support for contemporary college students.

Life events  /  Social support  /  Depressive symptoms  /  Network analysis  /  College student
Hui ZHU, Jun WU, Jianfei DING, Yuhui WAN. Network analysis of the relationship between life events, social support and depressive symptoms among college student from different years[J]. Chinese Journal of Disease Control and Prevention, 2026 , 30 (2) : 202 -209 . DOI: 10.16462/j.cnki.zhjbkz.2026.02.011
Year 2026 volume 30 Issue 2
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Article Info
doi: 10.16462/j.cnki.zhjbkz.2026.02.011
  • Receive Date:2025-09-16
  • Online Date:2026-05-08
  • Published:2026-02-10
Article Data
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History
  • Received:2025-09-16
  • Revised:2025-11-26
Affiliations
    1School of Marxism, Anhui Medical University, Hefei 230032, China
    2Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
    3Department of Health Promotion and Behavioural Sciences, School of Public Health, Anhui Medical University, Hefei 230032, China

Corresponding:

WAN Yuhui, E-mail:
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表12种不同金属材料的力学参数

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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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