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How mindfulness, self-compassion, and experiential avoidance are related to perceived stress in a sample of university students.

ABSTRACT: University students constitute a population that is highly vulnerable to developing mental health problems, such as distress. The role of different variables associated with the development of states of stress has been studied in order to identify potential risk and protective factors. This study explored whether mindfulness, self-compassion, and experiential avoidance, while controlling for specific sociodemographic and academic variables, were potential significant protective or risk factors explaining perceived stress in a sample of 589 Spanish university students (81.2% female, age range 18-48 years). A hierarchical multiple regression analysis was performed using an exploratory cross-sectional design. Higher experiential avoidance, lower self-compassion, lower mindfulness, not perceiving family support, higher total study hours per week, having a partner (vs. being single), being female (vs. being male), and being older were significantly associated with higher levels of perceived stress. In conclusion, perceived stress in our sample was positively associated with experiential avoidance, which could be regarded as a potential psychological risk variable. In contrast, perceived stress was negatively correlated with self-compassion and mindfulness, which, in turn, could be seen as protective factors. Accordingly, it is concluded that programmes aimed at reducing stress and at improving well-being among university students should include experiential avoidance, self-compassion, and mindfulness as therapeutic targets.

SUBMITTER: Martinez-Rubio D

PROVIDER: S-EPMC9897529 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

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How mindfulness, self-compassion, and experiential avoidance are related to perceived stress in a sample of university students.

Martínez-Rubio David D Colomer-Carbonell Ariadna A Sanabria-Mazo Juan P JP Pérez-Aranda Adrián A Navarrete Jaime J Martínez-Brotóns Cristina C Escamilla Cristina C Muro Anna A Montero-Marín Jesús J Luciano Juan V JV Feliu-Soler Albert A

PloS one 20230203 2

University students constitute a population that is highly vulnerable to developing mental health problems, such as distress. The role of different variables associated with the development of states of stress has been studied in order to identify potential risk and protective factors. This study explored whether mindfulness, self-compassion, and experiential avoidance, while controlling for specific sociodemographic and academic variables, were potential significant protective or risk factors e ...[more]

PMID: 36735700

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Project description:BackgroundPsychological distress in University settings has grown and became a public health concern. In this context, contemplative practices such as mindfulness have been proposed as a strategy to help students on stress management.MethodsForty university students (20 female), aged between 18 to 30 years (mean = 24.15; SD = 3.56), with no previous experience with meditation or yoga were recruited at the Federal University of Rio Grande do Norte and randomized to a mindfulness training (MT) or active control (AC) groups. We analyzed measures of anxiety, affect, stress, as well as state and trait mindfulness in order to evaluate the effects of trait mindfulness and a brief mindfulness intervention in forty healthy young students. Participants were classified as Low (n = 27, females = 13) or High (n = 13, females = 7) Trait Mindfulness by k-means clustering and compared between them using Wilcoxon sum rank test. Furthermore, the sample was randomly allocated to an AC (n = 20, females = 10) or a MT (n = 20, females = 10) group, and mixed analysis of variance was performed to analyze the effect of interventions. The mechanisms and role of trait mindfulness in the intervention was assessed by a moderated mediation analysis.ResultsWe found that High Trait individuals have lower anxiety trait, anxiety state and perceived stress levels. Only the MT group reduced their anxiety state and perceived stress after the intervention and increased their state mindfulness. Both groups reduced negative affect and cortisol, and no change was found in positive affect. Moderated mediation analysis showed that the training-induced change in state mindfulness mediated the increase in positive affect and the decrease in perceived stress and cortisol, regardless of trait mindfulness. For anxiety state the decrease only occurred in individuals with High Trait Mindfulness.ConclusionsTogether, these results suggest that higher trait mindfulness is associated with low levels of psychological distress and that a brief mindfulness-based intervention seems to be useful to reduce distress measures in university students.Trial registrationReBEC, U1111-1194-8661. Registered 28 March 2017-Retrospectively registered, http://www.ensaiosclinicos.gov.br/rg/RBR-7b8yh8.

Project description:ObjectivesRumination is suggested to exacerbate psychological health, but there is room for investigating the potential protecting factors for individuals with high ruminative tendencies against psychological symptoms. The present cross-sectional study aimed to uncover the associations between rumination as a maladaptive dimension of self-focus, self-compassion, and psychological health, and whether and how components of self-compassion may moderate the associations between rumination and psychological health in Japanese undergraduate students.MethodsA questionnaire survey was conducted by using both an online platform and a paper-based questionnaire. The survey included established Japanese versions of psychological scales on rumination, self-compassion, perceived stress, trait anxiety, and depression.ResultsThe results revealed statistically significant positive correlations between rumination and negative dimensions of self-compassion, and rumination and psychological symptoms. Positive dimensions of self-compassion were significantly negatively correlated with both rumination and psychological symptoms. Reflection as a positive dimension of self-focus did not show significant correlations with most psychological variables. Furthermore, hierarchical multiple regression analyses involving subscales of self-compassion and their interactions with rumination as predictors revealed that the interactions between rumination and components of self-compassion, i.e., over-identification and mindfulness, significantly predicted trait anxiety. Higher rumination predicted higher anxiety when over-identification was high, but not when over-identification was low. Also, lower rumination predicted lower anxiety when mindfulness was high, but not when mindfulness was low.ConclusionsThe results suggest significant associations between rumination, components of self-compassion, and psychological health in a population of Japanese undergraduate students. The data also suggest that components of self-compassion play moderating roles in the relationship between rumination and psychological health, potentially serving as aggravating/protective factors for psychological health. Longitudinal studies and comparisons between different cultures should be conducted in the future quest.

Project description:Health care professionals (HCPs) are a population at risk for high levels of burnout and compassion fatigue. The aim of the present systematic review was to give an overview on recent literature about mindfulness and compassion characteristics of HCPs, while exploring the effectiveness of techniques, involving the two aspects, such as MBSR or mindfulness intervention and compassion fatigue-related programs. A search of databases, including PubMed and PsycINFO, was conducted following the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines and the methodological quality for this systematic review was appraised using AMSTAR-2 (A MeaSurement Tool to Assess systematic Reviews-2). The number of articles that met the inclusion criteria was 58 (4 RCTs, 24 studies with pre-post measurements, 12 cross-sectional studies, 11 cohort studies and 7 qualitative studies). MBSR intervention was effective at improving, and maintaining, mindfulness and self-compassion levels and to improve burnout, depression, anxiety, stress. The most frequently employed interventional strategies were mindfulness-related trainings that were effective at improving mindfulness and self-compassion, but not compassion fatigue, levels. Compassion-related interventions have been shown to improve self-compassion, mindfulness and interpersonal conflict levels. Mindfulness was effective at improving negative affect and compassion fatigue, while compassion satisfaction may be related to cultivation of positive affect. This systematic review summarized the evidence regarding mindfulness- and compassion-related qualities of HCPs as well as potential effects of MBSR, mindfulness-related and compassion-related interventions on professionals' psychological variables like mindfulness, self-compassion and quality of life. Combining structured mindfulness and compassion cultivation trainings may enhance the effects of interventions, limit the variability of intervention protocols and improve data comparability of future research.

Project description:The COVID-19 pandemic has worsened the psychological and social stress levels of university students due to physical illness, enhanced dependence on mobile devices and internet, a lack of social activities, and home confinement. Therefore, early stress detection is crucial for their successful academic performance and mental well-being. The advent of machine learning (ML)-based prediction models can have a crucial impact in predicting stress at its early stages and taking necessary steps for the well-being of individuals. This study aims to develop a reliable machine learning-based prediction model for perceived stress prediction and validate the model using real-world data collected through an online survey among 444 university students from different ethnicity. The machine learning models were built using supervised machine learning algorithms. Principal Component Analysis (PCA) and the chi-squared test were employed as feature reduction techniques. Moreover, Grid Search Cross-Validation (GSCV) and Genetic Algorithm (GA) were employed for hyperparameter optimization (HPO). According to the findings, around 11.26% of individuals were identified with high levels of social stress. In comparison, approximately 24.10% of people were found to be suffering from extremely high psychological stress, which is quite alarming for students' mental health. Furthermore, the prediction results of the ML models demonstrated the most remarkable accuracy (80.5%), precision (1.000), F1 score (0.890), and recall value (0.826). The Multilayer Perceptron model was shown to have the maximum accuracy when combined with PCA as a feature reduction approach and GSCV for HPO. The convenience sampling technique used in this study only considers self-reported data, which may have biased results and lack generalizability. Future research should consider a large sample of data and focus on tracking long-term impacts with coping strategies and interventions. The results of this study can be used to develop strategies to mitigate adverse effects of the overuse of mobile devices and promote student well-being during pandemics and other stressful situations.

Dataset Information

How mindfulness, self-compassion, and experiential avoidance are related to perceived stress in a sample of university students.

Publications

How mindfulness, self-compassion, and experiential avoidance are related to perceived stress in a sample of university students.

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