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      Alexithymia in autism: cross-sectional and longitudinal associations with social-communication difficulties, anxiety and depression symptoms

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          Abstract

          Background

          Alexithymia (difficulties in identifying and describing emotion) is a transdiagnostic trait implicated in social–emotional and mental health problems in the general population. Many autistic individuals experience significant social-communication difficulties and elevated anxiety/depression and alexithymia. Nevertheless, the role of alexithymia in explaining individual variability in the quality/severity of social-communication difficulties and/or anxiety and depression symptoms in autism remains poorly understood.

          Methods

          In total, 337 adolescents and adults (autism N = 179) were assessed for alexithymia on the Toronto Alexithymia Scale and for social-communication difficulties, anxiety and depression symptoms. A total of 135 individuals (autism N = 76) were followed up 12–24 months later. We used regression models to establish cross-sectional and longitudinal associations between alexithymia, social-communication difficulties, anxiety and depression symptoms.

          Results

          Autistic individuals reported significantly higher alexithymia than comparison individuals ( p < 0.001, r effect size = 0.48), with 47.3% of autistic females and 21.0% of autistic males meeting cut-off for clinically relevant alexithymia (score ⩾61). Difficulties in describing feelings were particularly associated with current self-reported social-communication difficulties [ p < 0.001, β = 0.57, 95% confidence interval (CI) 0.44–0.67] and predicted later social-communication difficulties ( p = 0.02, β = 0.43, 95% CI 0.07–0.82). Difficulties in identifying feelings were particularly associated with current anxiety symptom severity ( p < 0.001, β = 0.54, 95% CI 0.41–0.77) and predicted later anxiety ( p = 0.01; β = 0.31, 95% CI 0.08–0.62).

          Conclusions

          Our findings suggest that difficulties in identifying v. describing emotion are associated with differential clinical outcomes in autism. Psychological therapies targeting emotional awareness may improve social-communication and anxiety symptoms in autism, potentially conferring long-term benefits.

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          Most cited references78

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          Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication.

          Little is known about lifetime prevalence or age of onset of DSM-IV disorders. To estimate lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the recently completed National Comorbidity Survey Replication. Nationally representative face-to-face household survey conducted between February 2001 and April 2003 using the fully structured World Health Organization World Mental Health Survey version of the Composite International Diagnostic Interview. Nine thousand two hundred eighty-two English-speaking respondents aged 18 years and older. Lifetime DSM-IV anxiety, mood, impulse-control, and substance use disorders. Lifetime prevalence estimates are as follows: anxiety disorders, 28.8%; mood disorders, 20.8%; impulse-control disorders, 24.8%; substance use disorders, 14.6%; any disorder, 46.4%. Median age of onset is much earlier for anxiety (11 years) and impulse-control (11 years) disorders than for substance use (20 years) and mood (30 years) disorders. Half of all lifetime cases start by age 14 years and three fourths by age 24 years. Later onsets are mostly of comorbid conditions, with estimated lifetime risk of any disorder at age 75 years (50.8%) only slightly higher than observed lifetime prevalence (46.4%). Lifetime prevalence estimates are higher in recent cohorts than in earlier cohorts and have fairly stable intercohort differences across the life course that vary in substantively plausible ways among sociodemographic subgroups. About half of Americans will meet the criteria for a DSM-IV disorder sometime in their life, with first onset usually in childhood or adolescence. Interventions aimed at prevention or early treatment need to focus on youth.
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            An inventory for measuring clinical anxiety: Psychometric properties.

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              Interpretation of changes in health-related quality of life: the remarkable universality of half a standard deviation.

              A number of studies have computed the minimally important difference (MID) for health-related quality of life instruments. To determine whether there is consistency in the magnitude of MID estimates from different instruments. We conducted a systematic review of the literature to identify studies that computed an MID and contained sufficient information to compute an effect size (ES). Thirty-eight studies fulfilled the criteria, resulting in 62 ESs. For all but 6 studies, the MID estimates were close to one half a SD (mean = 0.495, SD = 0.155). There was no consistent relationship with factors such as disease-specific or generic instrument or the number of response options. Negative changes were not associated with larger ESs. Population-based estimation procedures and brief follow-up were associated with smaller ESs, and acute conditions with larger ESs. An explanation for this consistency is that research in psychology has shown that the limit of people's ability to discriminate over a wide range of tasks is approximately 1 part in 7, which is very close to half a SD. In most circumstances, the threshold of discrimination for changes in health-related quality of life for chronic diseases appears to be approximately half a SD.
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                Author and article information

                Journal
                Psychol Med
                Psychol Med
                PSM
                Psychological Medicine
                Cambridge University Press (Cambridge, UK )
                0033-2917
                1469-8978
                June 2022
                08 October 2020
                : 52
                : 8
                : 1458-1470
                Affiliations
                [1 ]Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London , De Crespigny Park, London SE5 8AF, UK
                [2 ]Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London , De Crespigny Park, London SE5 8AF, UK
                [3 ]Centre for Brain & Cognitive Development, Birkbeck, University of London , London WC1E 7HX, UK
                [4 ]Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London , London, UK
                [5 ]South London and Maudsley NHS Foundation Trust (SLaM) , London, UK
                [6 ]Department of Cognitive Neuroscience, Radboud University Nijmegen Medical Center, Donders Institute for Brain, Cognition and Behaviour , Kapittelweg 29, 6525 EN Nijmegen, The Netherlands
                [7 ]Karakter Child and Adolescent Psychiatry University Center , Reiner Postlaan 12, Nijmegen, The Netherlands
                [8 ]Department of Applied Psychology: Health, Development, Enhancement, and Intervention, University of Vienna , Vienna, Austria
                Author notes
                Author for correspondence: Bethany F. M. Oakley, E-mail: bethany.oakley@ 123456kcl.ac.uk
                Author information
                https://orcid.org/0000-0002-1968-134X
                Article
                S0033291720003244
                10.1017/S0033291720003244
                9226426
                33028432
                b77771ce-2951-4361-ac1e-9df50c9fb0c1
                © The Author(s) 2020

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 20 December 2019
                : 14 August 2020
                : 20 August 2020
                Page count
                Figures: 3, Tables: 2, References: 83, Pages: 13
                Categories
                Original Article

                Clinical Psychology & Psychiatry
                alexithymia,anxiety,autism,depression,mental health
                Clinical Psychology & Psychiatry
                alexithymia, anxiety, autism, depression, mental health

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