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      Meta-analyses of the associations of mentalization and proxy variables with anxiety and internalizing problems

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      Journal of Anxiety Disorders
      Elsevier BV

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          Abstract

          <p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="first" id="d9277176e83">Mentalization, the high-order function of detecting and interpreting one's own and others' mental states, has gained interest in the fields of clinical and developmental psychopathology. However, little is known about mentalization's associations with anxiety and broader internalizing problems. Using the framework of the multidimensional model of mentalization, the aim of this meta-analysis was to quantify the strength of the association between mentalization and anxiety/internalizing problems and to identify potential moderators of this association. A systematic review of the literature led to the inclusion of 105 studies (N = 19,529) covering all age groups. The global effect analysis showed a small negative association between mentalization and the overall anxious and internalizing symptomatology (r = -0.095, p = .000). Various effect sizes were found for associations between mentalization and specific outcomes (unspecified anxiety, social anxiety, generalized anxiety, and internalizing problems). The methods of assessment of mentalization and anxiety moderated their association. Findings support the presence of modest impairments in the mentalizing capacities of anxious individuals, likely influenced by their vulnerability to stress and the context in which they mentalize. Further studies are needed to draw a clear profile of mentalizing capacities with regard to specific anxious and internalizing symptomatologies. </p>

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          Most cited references104

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          Diagnostic and Statistical Manual of Mental Disorders

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            A power primer.

            One possible reason for the continued neglect of statistical power analysis in research in the behavioral sciences is the inaccessibility of or difficulty with the standard material. A convenient, although not comprehensive, presentation of required sample sizes is provided here. Effect-size indexes and conventional values for these are given for operationally defined small, medium, and large effects. The sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests: (a) the difference between independent means, (b) the significance of a product-moment correlation, (c) the difference between independent rs, (d) the sign test, (e) the difference between independent proportions, (f) chi-square tests for goodness of fit and contingency tables, (g) one-way analysis of variance, and (h) the significance of a multiple or multiple partial correlation.
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              Trim and Fill: A Simple Funnel-Plot-Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis

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                Author and article information

                Contributors
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                Journal
                Journal of Anxiety Disorders
                Journal of Anxiety Disorders
                Elsevier BV
                08876185
                April 2023
                April 2023
                : 95
                : 102694
                Article
                10.1016/j.janxdis.2023.102694
                36905852
                79aeb797-a987-4b1b-85de-be8ef00ac0a3
                © 2023

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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