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1.
Barcaccia, Barbara; Baiocco, Roberto; Pozza, Andrea; Pallini, Susanna; Mancini, Francesco; Salvati, Marco
The more you judge the worse you feel. A judgemental attitude towards one's inner experience predicts depression and anxiety Journal Article
In: Personality and Individual Differences, vol. 138, no 2019, pp. 33-39, 2018.
Abstract | Links | BibTeX | Tag: Acceptance, Anxiety, depression, Judgemental attitude, Mindfulness, Rumination, worry
@article{Barcaccia2018,
title = {The more you judge the worse you feel. A judgemental attitude towards one's inner experience predicts depression and anxiety},
author = {Barbara Barcaccia and Roberto Baiocco and Andrea Pozza and Susanna Pallini and Francesco Mancini and Marco Salvati},
editor = {Elsevier},
url = {https://apc.it/2018-the-more-you-judge_barcaccia-et-al-2018/},
doi = {https://doi.org/10.1016/j.paid.2018.09.012},
year = {2018},
date = {2018-09-10},
urldate = {2018-09-10},
journal = {Personality and Individual Differences},
volume = {138},
number = {2019},
pages = {33-39},
abstract = {Literature reviews have shown that trait-mindfulness is significantly correlated to emotional wellbeing, both in adults and in children. Particularly, being judgemental towards one's inner thoughts, feelings and sensations, and acting unawares, is associated with higher maladjustment.
In the present cross-sectional study, we explored the role of the different facets of mindfulness in both anxiety and depression, controlling for the effects of gender, age, rumination, and worry, and analysed which facets of mindfulness have the strongest effect in predicting depression and anxiety. Two-hundred seventy-four community adults were assessed in the domains of depression, anxiety, rumination, worry, and mindfulness.
Regression analyses showed that, among the facets of mindfulness, a judgemental attitude towards one's thoughts and feelings is the strongest predictor of both depression and anxiety. Our study highlights the importance of a normalising, accepting, non-judgemental attitude to decrease anxiety and depression, and to foster wellbeing.},
keywords = {Acceptance, Anxiety, depression, Judgemental attitude, Mindfulness, Rumination, worry},
pubstate = {published},
tppubtype = {article}
}
Literature reviews have shown that trait-mindfulness is significantly correlated to emotional wellbeing, both in adults and in children. Particularly, being judgemental towards one's inner thoughts, feelings and sensations, and acting unawares, is associated with higher maladjustment.
In the present cross-sectional study, we explored the role of the different facets of mindfulness in both anxiety and depression, controlling for the effects of gender, age, rumination, and worry, and analysed which facets of mindfulness have the strongest effect in predicting depression and anxiety. Two-hundred seventy-four community adults were assessed in the domains of depression, anxiety, rumination, worry, and mindfulness.
Regression analyses showed that, among the facets of mindfulness, a judgemental attitude towards one's thoughts and feelings is the strongest predictor of both depression and anxiety. Our study highlights the importance of a normalising, accepting, non-judgemental attitude to decrease anxiety and depression, and to foster wellbeing.
In the present cross-sectional study, we explored the role of the different facets of mindfulness in both anxiety and depression, controlling for the effects of gender, age, rumination, and worry, and analysed which facets of mindfulness have the strongest effect in predicting depression and anxiety. Two-hundred seventy-four community adults were assessed in the domains of depression, anxiety, rumination, worry, and mindfulness.
Regression analyses showed that, among the facets of mindfulness, a judgemental attitude towards one's thoughts and feelings is the strongest predictor of both depression and anxiety. Our study highlights the importance of a normalising, accepting, non-judgemental attitude to decrease anxiety and depression, and to foster wellbeing.
2.
Gazzellini, Simone; Dettori, Maria; Amadori, Francesca; Paoli, Barbara; Napolitano, Antonio; Mancini, Francesco; Ottaviani, Cristina
Association between Attention and Heart Rate Fluctuations in Pathological Worriers Journal Article
In: Frontiers in Human Neuroscience, vol. 10, pp. 648, 2016, ISSN: 1662-5161.
Abstract | Links | BibTeX | Tag: Heart rate variability, reaction times, sustained attention, time-frequency analysis, worry
@article{Simone2016,
title = {Association between Attention and Heart Rate Fluctuations in Pathological Worriers},
author = {Simone Gazzellini and Maria Dettori and Francesca Amadori and Barbara Paoli and Antonio Napolitano and Francesco Mancini and Cristina Ottaviani },
url = {http://journal.frontiersin.org/article/10.3389/fnhum.2016.00648},
doi = {10.3389/fnhum.2016.00648},
issn = {1662-5161},
year = {2016},
date = {2016-01-01},
journal = {Frontiers in Human Neuroscience},
volume = {10},
pages = {648},
abstract = {Recent data suggests that several psychopathological conditions are associated with alterations in the variability of behavioral and physiological responses. Pathological worry, defined as the cognitive representation of a potential threat, has been associated with reduced variability of heart beat oscillations (i.e., decreased heart rate variability; HRV) and lapses of attention indexed by reaction times (RTs). Clinical populations with attention deficit show RTs oscillation around 0.05 and 0.01 Hz when performing a sustained attention task. We tested the hypothesis that people who are prone to worry do it in a predictable oscillating pattern revealed through recurrent lapses in attention and concomitant oscillating HRV. Sixty healthy young adults (50% women) were recruited: 30 exceeded the clinical cut-off on the Penn State Worry Questionnaire (High-Worry); the remaining 30 constituted the Low-Worry group. After a diagnostic assessment, participants performed two 15-minute sustained attention tasks, interspersed by a standardized worry-induction procedure. RTs, HRV, and moods were assessed. The analyses of the frequency spectrum showed that the High-Worry group presents a significant higher and constant peak of RTs oscillation around 0.01 Hz (period 100 s) after the induction of worry, in comparison with their baseline and with the Low-Worry group that was not responsive to the induction procedure. Physiologically, the induction significantly reduced high-frequency HRV and such reduction was associated with levels of self-reported worry. Results are coherent with the oscillatory nature of the default mode network and further confirm an association between cognitive rigidity and autonomic nervous system inflexibility.},
keywords = {Heart rate variability, reaction times, sustained attention, time-frequency analysis, worry},
pubstate = {published},
tppubtype = {article}
}
Recent data suggests that several psychopathological conditions are associated with alterations in the variability of behavioral and physiological responses. Pathological worry, defined as the cognitive representation of a potential threat, has been associated with reduced variability of heart beat oscillations (i.e., decreased heart rate variability; HRV) and lapses of attention indexed by reaction times (RTs). Clinical populations with attention deficit show RTs oscillation around 0.05 and 0.01 Hz when performing a sustained attention task. We tested the hypothesis that people who are prone to worry do it in a predictable oscillating pattern revealed through recurrent lapses in attention and concomitant oscillating HRV. Sixty healthy young adults (50% women) were recruited: 30 exceeded the clinical cut-off on the Penn State Worry Questionnaire (High-Worry); the remaining 30 constituted the Low-Worry group. After a diagnostic assessment, participants performed two 15-minute sustained attention tasks, interspersed by a standardized worry-induction procedure. RTs, HRV, and moods were assessed. The analyses of the frequency spectrum showed that the High-Worry group presents a significant higher and constant peak of RTs oscillation around 0.01 Hz (period 100 s) after the induction of worry, in comparison with their baseline and with the Low-Worry group that was not responsive to the induction procedure. Physiologically, the induction significantly reduced high-frequency HRV and such reduction was associated with levels of self-reported worry. Results are coherent with the oscillatory nature of the default mode network and further confirm an association between cognitive rigidity and autonomic nervous system inflexibility.