Latent profiles of multi-dimensionality of self-compassion predict youth psychological adjustment outcomes during the COVID-19: A longitudinal mixture regression analysis

Identifying patterns of multidimensional self-compassion in Chinese young adults: implications for longitudinal mental health outcomes during the pandemic

BACKGROUND

Self-compassion (SC), reflecting self-attitude and self-connectedness, has proven to be a modifiable factor in promoting mental health outcomes. Increasingly, SC is recognized as a multidimensional construct consisting of six dimensions, rather than a single dimension.

OBJECTIVES

First, this study adopted a person-centered approach to explore profiles of SC dimensions in Chinese young adults. Second, the study examined the predictive effects of SC profiles on mental health outcomes.

METHODS

In February 2020, young adults (N = 1164) were invited to complete the 26-item Neff's Self-Compassion Scale online. Three months later, the same subjects (N = 1099) reported their levels of depressive symptoms, posttraumatic stress disorder (PTSD) symptoms, and posttraumatic growth (PTG).

RESULTS

After controlling for retrospective ACEs, four classes best characterized the profiles: self-compassionate (26.7%, N = 294), self-uncompassionate (12.3%, N = 135), average (55.9%, N = 614), and detached groups (5.1%, N = 56). Young adults in the self-compassionate group adjusted the best (with the highest level of PTG and the lowest levels of depressive and PTSD symptoms). Adults in the self-uncompassionate group demonstrated the poorest mental health outcomes (with the lowest level of PTG and the highest levels of depressive and PTSD symptoms). Young adults in the average group obtained more PTG than adults in the detached group (p < .01), but did not differ significantly in depressive and PTSD symptoms (p > .05).

CONCLUSION

The compassionate profile is the most adaptable for young adults among all groups. This study highlights the limitations of representing the relative balance of SC with a composite score.

Work stress and professional quality of life among Chinese nurses during the COVID-19 pandemic: the chain mediating role of self-compassion and benefit finding

BACKGROUND

Since the outbreak of the Coronavirus Disease 2019 (COVID-19), front-line nurses have faced not only daily work stress but also a high risk of infection and excessive workload, leading to unsatisfactory professional quality of life (ProQOL). This study aimed to explore whether self-compassion (SC) and benefit finding (BF) play a chain mediating role between work stress and ProQOL among Chinese nurses during the COVID-19 pandemic.

METHODS

From March to April 2022, a sample of 13,936 Chinese nurses was recruited through snowball sampling. Demographic information, work stress, SC, BF, and ProQOL were assessed. The SPSS 25.0 software and Amos 24.0 software were used for statistical analysis. The bootstrap method was employed to construct and examine the chain mediating structural equation model.

RESULTS

The ProQOL level of Chinese nurses during the COVID-19 pandemic was moderate. The overall fit indices for the compassion satisfaction (CS), burnout (BO), and secondary traumatic stress (STS) models were satisfactory (χ²/df = 2.486, 3.256, 2.553, RMSEA = 0.011, 0.014, 0.011, the GFI, AGFI, NFI, and CFI values were all above 0.90). Work stress had direct effects on CS, BO, and STS (β=-0.171, 0.334, 0.222, P < 0.001), and also indirectly affected these outcomes through SC (point estimate=-0.010, 0.021, 0.024, P < 0.001), BF (point estimate=-0.033, 0.015, - 0.011, P < 0.001), as well as their chain mediating effect (point estimate=-0.015, 0.006, - 0.005, P < 0.001).

CONCLUSIONS

Our study suggests that SC and BF partially mediated the association between work stress and ProQOL in Chinese nurses during the COVID-19 pandemic. Training on SC and BF may be crucial components of interventions aimed at improving ProQOL.

Combined effect of compassionate and uncompassionate self-responding on Chinese college students' mental health during the initial wave of the COVID-19 pandemic: a response surface analysis

Background: The initial wave of the COVID-19 pandemic significantly deteriorated mental health, especially among college students. Self-compassion has demonstrated benefits for psychological outcomes such as depressive symptoms, life satisfaction, posttraumatic stress symptoms (PTSS), and posttraumatic growth (PTG). Notably, existing literature suggests that the protective and vulnerable aspects within the Self-Compassion Scale, namely, compassionate and uncompassionate self-responding (CSR and USR), can coexist within individuals and influence their mental health through various coexisting patterns. However, this process has not been sufficiently explored.Objective: This study aimed to explore the combined effects of CSR and USR on college students' depressive symptoms, life satisfaction, PTSS, and PTG during the initial wave of the pandemic.Method: In this cross-sectional study, 4450 Chinese college students (51.9% females, Mage = 20.58 years, SD = 1.49) completed self-report measures amid the COVID-19 pandemic's initial wave in 2020. Response surface analyses were utilised to investigate the combined effects of CSR and USR.Results: Simultaneously increased CSR and USR were associated with a slight increase in depressive symptoms, PTSS, and life satisfaction, but a substantial increase in PTG. Conversely, increased CSR and decreased USR were associated with a considerable decrease in depressive symptoms and PTSS, a significant increase in life satisfaction, and a moderate increase in PTG.Conclusions: CSR and USR demonstrated protective and vulnerable impacts, respectively. It is imperative to analyse their combined effects as an interactive system and consider the specific characteristics of different psychological responses.

Retrospective ACEs predict complex PTSD symptoms in a large sample of Chinese young adults longitudinally: the moderating role of self-compassion

This longitudinal study in Mainland China (2021-2022) explored the impact of adverse childhood experiences (ACEs) on complex posttraumatic stress disorder (CPTSD) symptoms, with a focus on the role of self-compassion. Among 18,933 surveyed university students, 21.2% reported experiencing at least one ACE. Results revealed a clear relationship between ACEs and CPTSD symptoms. Furthermore, self-compassion, particularly the dimensions of self-judgment and isolation, moderated the association between retrospective ACEs and posttraumatic stress disorder (PTSD) and disturbance in self-organization (DSO) symptoms. These findings highlight the enduring impact of ACEs on CPTSD symptoms and emphasize the importance of early identification and targeted interventions, especially addressing self-judgment and isolation, to mitigate CPTSD risk among young Chinese adults.

How positive childhood experiences foster college students' adjustment: the role of sibling number and self-esteem

Introduction

In recent years, growing concern has emerged regarding the mental health and well-being of college students who confront numerous challenges and transitions during their higher education journey. This research aims to investigate the influence of positive childhood experiences on the adaptability of college students and the underlying mechanisms.

Methods

A cross-sectional survey was conducted with 5,787 college students from Chinese universities. Participants completed an online questionnaire assessing positive childhood experiences, self-esteem, the number of siblings, and China college students' adjustment.

Results

The results revealed that positive childhood experiences positively predicted the adjustment of China college students, with self-esteem playing a mediating role in this positive effect. Moreover, siblings played an antagonistic moderating role in the positive effect of positive childhood experiences on China college students' adjustment.

Discussion

It is recommended to enhance positive childhood experiences, improve self-esteem, and provide additional care and support to students from multi-sibling families to enhance China college students' adjustment.

Initial risk factors, self-compassion trajectories, and well-being outcomes during the COVID-19 pandemic: A person-centered approach

Introduction

We investigated whether initial risk classes and heterogeneous trajectories of self-compassion over the course of the pandemic may impact well-being outcomes 1 year into the pandemic.

Methods

A large, representative sample of Canadians (N = 3,613; 50.6% women) was sampled longitudinally over 11 waves (April 2020-April 2021), using a rolling cross-sectional survey design. Analyses were conducted in three steps: (1) latent class analysis to identify heterogeneity in risk factors (sociodemographic, cognitive-personality, health-related) early in the pandemic, (2) latent class growth analysis (LCGA) to identify longitudinal self-compassion trajectories, and (3) GLM to examine effects of risk factor classes and self-compassion trajectories, as well as their interaction, on later well-being (mental health, perceived control, life satisfaction).

Results and Discussion

Four risk factor classes emerged, with 50.9% of participants experiencing low risk, 14.3% experiencing multiple risks, 20.8% experiencing Cognitive-Personality and Health risks, and 14.0% experiencing sociodemographic and Cognitive-Personality risks. Four self-compassion trajectories also emerged, with 47.7% of participants experiencing moderate-high self-compassion that decreased then stabilized, 32.0% experiencing moderate self-compassion that decreased then stabilized, 17.3% experiencing high and stable self-compassion across time, and 3.0% experiencing low and decreasing self-compassion. Comparisons of well-being outcomes 1 year post-pandemic indicated that higher levels of self-compassion over time may protect against the impact of initial risk on well-being outcomes. Further work is still needed on heterogeneity in experiences of risk and protective factors during stressful life events.