Objectives <p>Self-compassion serves as a significant resilience factor influencing subjective well-being (SWB). However, previous research has primarily focused on its overall effects rather than how its six components relate to SWB.</p> Method <p>Longitudinal data were collected from 477 Chinese university students (<i>M</i><sub>age</sub> = 19.97, <i>SD</i> = 0.98; 51.78% female) across two time points (T1: October 2020; T2: March 2021). A cross-lagged panel network approach was utilized to investigate directional links between the six facets of self-compassion and diverse dimensions of SWB.</p> Results <p>The results indicated that mindfulness positively predicted SWB, whereas self-judgment and isolation negatively predicted it. Additionally, SWB predicted specific self-compassion components, namely mindfulness and isolation. Moreover, mindfulness and self-judgment acted as the most influential nodes within the overall network, also serving as bridge nodes that connect self-compassion and SWB.</p> Conclusions <p>These results deepen insight into the dynamic interplay and longitudinal development of self-compassion and SWB, suggesting explanatory pathways for how self-compassion interventions yield positive outcomes.</p>

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Self-Compassion and Subjective Well-Being in University Students: A Cross-Lagged Panel Network Analysis

  • Yuening Liu,
  • Tiantian Guo,
  • Feng Kong

摘要

Objectives

Self-compassion serves as a significant resilience factor influencing subjective well-being (SWB). However, previous research has primarily focused on its overall effects rather than how its six components relate to SWB.

Method

Longitudinal data were collected from 477 Chinese university students (Mage = 19.97, SD = 0.98; 51.78% female) across two time points (T1: October 2020; T2: March 2021). A cross-lagged panel network approach was utilized to investigate directional links between the six facets of self-compassion and diverse dimensions of SWB.

Results

The results indicated that mindfulness positively predicted SWB, whereas self-judgment and isolation negatively predicted it. Additionally, SWB predicted specific self-compassion components, namely mindfulness and isolation. Moreover, mindfulness and self-judgment acted as the most influential nodes within the overall network, also serving as bridge nodes that connect self-compassion and SWB.

Conclusions

These results deepen insight into the dynamic interplay and longitudinal development of self-compassion and SWB, suggesting explanatory pathways for how self-compassion interventions yield positive outcomes.