青少年未来自我连续性与抑郁的交叉滞后分析

Translated title of the contribution: A cross-lagged analysis of future self-continuity and depression in adolescents
  • Yansong Li
  • , Qilong Sun
  • , Zuxian Li
  • , Naiyang Peng
  • , Xue Xia

Research output: Contribution to journalArticlepeer-review

Abstract

Objective To explore the longitudinal relationship between adolescents' future self-continuity and depression, providing insights into their future development. Methods A total of 419 adolescents from a school in Shandong Province were selected, and two followed-up surveys were conducted at 6-month intervals in April (T1) and October (T2) of 2023 using the future self-continuity questionnaire and Beck depression inventory-Ⅱ. Cross-lagged analysis was performed using Mplus 8.0. Results The scores of future self-continuity were 36.01±8.69 at baseline (T1) and 35.89±9.92 after six months (T2), while the scores of depression were 2.00(0, 14.00) and 1.00(0, 9.00), respectively. There was a negative correlation between future self-continuity and depression at both time points (T1: r=-0.195, T2: r=-0.239, both P<0.01). Adolescents' future self-continuity could predict depression six months later (β=-0.098, P<0.01), and depression also could predict the level of future self-continuity six months later (β=-0.114, P<0.01). Conclusion There is an interactively influence effect between adolescents' future self-continuity and depression.While enhancing adolescents' future self-continuity level to alleviate depression, attention should also be paid attention to the impact of depression on their future self-continuity, which can help adolescents overcome the interference of depressive emotions and grow into a better future self.

Translated title of the contributionA cross-lagged analysis of future self-continuity and depression in adolescents
Original languageChinese (Traditional)
Pages (from-to)445-451
Number of pages7
JournalChinese Journal of Behavioral Medicine and Brain Science
Volume34
Issue number5
DOIs
StatePublished - 20 May 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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