Purpose
Mental health issues are concurrent among college students and new interventions are needed to address the problem. The objective of this study was to evaluate the convergence of symptoms into a single factor called “mental distress” and its relationship to mindfulness facets.
Design/methodology/approach
Brazilian university students (n = 136) answered self-report questionnaires, assessing sociodemographic information, dispositional mindfulness, insomnia severity, perceived stress, depression and anxiety. The analytical procedure consisted of defining the latent variable and relationships with mindfulness facets in a structural equations modeling environment.
Findings
The proposed model presented good fit [χ2 (23 = 34.38; p = 0.060; RMSEA = 0.068 (90% CI = 0.00;0.114); CFI = 0.951] and mental distress was inversely related to the five facets of mindfulness questionnaire of nonjudgment and nonreactivity.
Originality/value
The symptoms converged into a latent variable, and the latent variable was related to the abilities of not judging and not reacting to internal stimuli. The relationships found might guide the development of future intervention strategies to benefit university students’ mental health.
The aims of the current study were to evaluate the psychometric properties of a short version of the Five Facet Mindfulness Questionnaire (FFMQ-SF-BR) and verify if the addition of wording mechanisms (positive or negative) contributes to the fit of the shortened Brazilian Portuguese version of the FFMQ. Four hundred eight participants answered self-report measurements. Structural equation modelling was employed for both objectives. Adequate model fit was found for the 5-factor FFMQ-SF-BR model, with significant improvements arising from the addition of wording mechanism effects. No evidences of differential item functioning and population heterogeneity were found. Bifactor analysis showed that latent traces are preferred overusing raw sum scores. The FFMQ-SF-BR is suitable to measure mindfulness in the Brazilian population and has the benefits of decreasing data collection length without losing content coverage.
The development of mental health disorders is common in the university population, and mindfulness-based interventions (MBIs) seem to be effective in addressing them in different contexts. Thus, this study investigated the impact of MBIs on different symptoms related to mental health problems. University students (n = 136) were randomized into MBI group or wait-list group. All participants completed self-administered questionnaires before and after the intervention, and the experimental group answered questionnaires every week during intervention. Generalized mixed models were used to assess the effects of the intervention, which were improvements in symptoms of stress (B = 5.76,p < 0.001), depression (B = 1.55,p < 0.01) and insomnia (B = 1.35,p = 0.020). No effect was found in respect of trait anxiety. The MBI was found to be effective in reducing important symptoms related to university students’ mental health, grounding the use of this intervention to improve it, and suggesting that it may be used to prevent the development of mental disorders.
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