2015
DOI: 10.1007/s12671-015-0407-6
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Mindfulness and Self-esteem: A Systematic Review

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Cited by 126 publications
(84 citation statements)
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References 43 publications
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“…We can also explain this result from the perspective of self‐esteem. Numerous studies have found that mindfulness can positively predict self‐esteem (Bajaj, Robins & Pande, ; Pepping, O’Donovan & Davis, ; Randal, Pratt & Bucci, ; Sang, ). Moreover, previous studies have found that self‐esteem can negatively predict malicious envy (Vrabel, Zeigler‐Hill & Southard, ).…”
Section: Discussionmentioning
confidence: 99%
“…We can also explain this result from the perspective of self‐esteem. Numerous studies have found that mindfulness can positively predict self‐esteem (Bajaj, Robins & Pande, ; Pepping, O’Donovan & Davis, ; Randal, Pratt & Bucci, ; Sang, ). Moreover, previous studies have found that self‐esteem can negatively predict malicious envy (Vrabel, Zeigler‐Hill & Southard, ).…”
Section: Discussionmentioning
confidence: 99%
“…While psycho-oncological research and care has historically been focused on deficits such as distress, anxiety, and depression, in recent years, a newer resource-oriented perspective has been established. Several factors have been proposed as resources: dispositional optimism (Carver, Scheier, & Segerström, 2010), self-efficacy (Luszczynska, Gutiérrez-Doña, & Schwarzer, 2005), self-esteem (Randal, Pratt, & Bucci, 2015), resilience (Luthar, Cicchetti, & Becker, 2000) and sense of coherence (Antonovsky, 1993). Although many clinicians have long been convinced that QoL and mental health impairments are primarily influenced by clinical factors, psychological resource variables have also been found to contribute to the prediction of QoL outcomes (Kostka & Jachimowicz, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…The tool has been applied in the fields of psychology and environmental behavior change (e.g., Fraser & Lock ; Randal et al. ). It examines selection bias (sample representativeness of the target population, response rate); study design (type of design, use and method of randomization); confounders (identification and control of potential differences between groups prior to the intervention); blinding (assessor awareness of participant intervention status, participant awareness of the research question); data‐collection methods (validity and reliability of data collection tools); and withdrawals and dropouts (reporting of withdrawals and dropouts in terms of numbers or reasons, percentage of participants completing the study).…”
Section: Methodsmentioning
confidence: 99%