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The association between alexithymia as assessed by the 20-item Toronto Alexithymia Scale and depression: A meta-analysis.

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TLDR
It is concluded that alexithymia, as assessed by the TAS-20 and its subscales DIF and DDF, is closely related to depression.
Abstract
Patients with depression exhibit high rates of alexithymia, representing a major public health concern. We sought to examine relationships between depression severity and alexithymia as assessed by the Toronto Alexithymia Scale (TAS-20) and the TAS-20 subscales of difficulty identifying feelings (DIF), difficulty describing feelings (DDF), and externally oriented thinking (EOT). Potentially relevant studies were obtained independently by two reviewers. Chi-square statistics based on the Q -test and I 2 index assessed statistical heterogeneity between studies. Subgroup analyses were mainly used to explore sources of heterogeneity. Begg׳s test and Duval and Tweedie' trim and fill were used to assess potential publication bias. Altogether, 3572 subjects from 20 study groups across 19 studies were included. Medium relationships were observed between depression and TAS-total score (TAS-TS), DIF, and DDF. There was also a weak relationship between EOT and depression. Subgroup analyses showed a stronger correlation between TAS-TS and depression assessed by self-reported tools than that assessed by the Hamilton Rating Scale for Depression. The heterogeneity significantly decreased only in the subgroup analysis by depression tool. We conclude that alexithymia, as assessed by the TAS-20 and its subscales DIF and DDF, is closely related to depression. These relationships were affected by depression measurement tools.

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Journal ArticleDOI

The mentalizing approach to psychopathology: State of the art and future directions

TL;DR: The mentalizing approach to psychopathology from a developmental socioecological evolutionary perspective is summarized and core principles of mentalization-based treatments and preventive interventions and the evidence for their effectiveness are summarized.
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Alexithymia in eating disorders: Systematic review and meta-analyses of studies using the Toronto Alexithymia Scale.

TL;DR: Across the spectrum of eating disorders, individuals report having difficulties recognising or describing their emotions, and research to develop and evaluate treatments and clinician-administered assessments of alexithymia is warranted.
Journal ArticleDOI

Investigating alexithymia in autism: A systematic review and meta-analysis

TL;DR: It is highlighted that alexithymia is common, rather than universal, in ASD, supporting a growing body of evidence that co-occurring autism and alexithsymia represents a specific subgroup in the ASD population that may have specific clinical needs.
References
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Journal ArticleDOI

Measuring inconsistency in meta-analyses

TL;DR: A new quantity is developed, I 2, which the authors believe gives a better measure of the consistency between trials in a meta-analysis, which is susceptible to the number of trials included in the meta- analysis.
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A power primer.

TL;DR: A convenient, although not comprehensive, presentation of required sample sizes is providedHere the sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests.
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Quantifying heterogeneity in a meta‐analysis

TL;DR: It is concluded that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity, and one or both should be presented in publishedMeta-an analyses in preference to the test for heterogeneity.
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Meta-analysis of observational studies in epidemiology - A proposal for reporting

TL;DR: A checklist contains specifications for reporting of meta-analyses of observational studies in epidemiology, including background, search strategy, methods, results, discussion, and conclusion should improve the usefulness ofMeta-an analyses for authors, reviewers, editors, readers, and decision makers.
Journal ArticleDOI

Psychometric properties of the Beck Depression Inventory: Twenty-five years of evaluation

TL;DR: A meta-analysis of the BDI's internal consistency estimates yielded a mean coefficient alpha of 0.86 for psychiatric patients and 0.81 for non-psychiatric subjects as mentioned in this paper.
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