Although previous studies have found relationships between anger, forgiveness, and well-being, none have examined whether forgiveness mediates the relationship between trait anger and subjective well-being. To address this gap, this study constructed and tested a relevant moderated mediating model. We also considered the moderating effects of the COVID-19 lockdown situation, which has indirectly deteriorated well-being. The participants included 1,274 individuals who were recruited in April 2022. In sum, the results showed negative relationships between the trait anger and forgiveness and well-being, with a positive association between forgiveness and well-being. Moreover, forgiveness mediated the association between trait anger and subjective well-being, whereas the lockdown situation regulated the effects of trait anger on forgiveness and subjective well-being; specifically, forgiveness and well-being were more susceptible to trait anger among individuals under the lockdown situation. These findings suggest that forgiveness mediates the relationship between trait anger and well-being, while trait anger negatively predicts forgiveness and subjective well-being. Furthermore, the lockdown situation increases the negative predictive effects of anger on forgiveness and subjective well-being. Supplementary information The online version contains supplementary material available at 10.1007/s12144-023-04500-9.

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This study aimed to revise and test the reliability and validity of the Chinese version of the Decisional and Emotional Forgiveness Scale. In experiment 1, 1171 college students and postgraduates were invited to complete the questionnaire that provides the data for this scale. The results from this, following exploratory factor analysis, showed that the factor loading values met the standards detailed in the past literature, except in the case of item C2. The results of confirmatory factor analysis (while excluding item C2) showed a good structure validity. Furthermore, it also showed that a four-factor model fit the data well and that the reliability values (including internal consistency and test–retest reliability) met the commonly held standards. Decisional and emotional forgiveness subfactors were significantly correlated with transgression-related interpersonal motivations and self-construal. Experiment 2 was conducted in order to further confirm the validity of the scale: the results of mediated analysis showed that emotional forgiveness and the path from decisional forgiveness to emotional forgiveness could mediate the relationship between stress perception and resilience. Thus, the revised Chinese version of the Decisional and Emotional Forgiveness Scale showed good reliability and validity within a Chinese sample, demonstrating its usability as an effective tool to evaluate college students’ level of decisional and emotional forgiveness.

Previous studies found an association between mindfulness and forgiveness. However, the effects of self-construal on this association are still unclear. In the present study, self-reported forgiveness and a behavioral measure of forgiveness were used to explore the moderating effect of self-construal plays between mindfulness and forgiveness among 126 participants recruited based on their mindfulness scores. Results showed that participants with high level of mindfulness in the interdependent self-construal condition reported greater forgiveness and gave more money donations towards transgressors than those in the independent self-construal condition, while there is no significant difference between interdependent and independent self-construal groups among participants with low level of mindfulness. These findings suggest that self-construal moderates the relationship between mindfulness and interpersonal forgiveness.

The effects of digital Cognitive Behavior Therapy for insomnia (dCBT-i) on sleep quality have been previously demonstrated but the spillover effects on fatigue, flow (a state of immersion in activities of interest), and cognitive flexibility remain unclear. The current study examined the effectiveness of dCBT-i. A total of 97 college students (20.96 ± 1.87 years, 73.1% female students) were randomly selected from a shortlist and divided into sleep intervention (n = 39), conventional education (n = 37), and healthy control (n = 21) groups. Task switching paradigm, Fatigue Severity Scale (FSS), Flow Experience Scale (FES), and the Chinese version of the Pittsburgh Sleep Quality Index (CPSQI) were measured pre- and post-intervention. Results show that the sleep quality of the intervention group improved, and fatigue was relieved. Participants in the sleep intervention group had increased flow experience scores post-intervention and improved cognitive flexibility. The control group’s sleep quality deteriorated and fatigue level increased. dCBT-i can not only achieve a significant improvement in sleep quality and reduce fatigue, but also improve learning abilities, quality of life, flow, and cognitive flexibility. Future research should pay attention to indicators such as work efficiency, sedative use, and the durability and stability of such effects.