ArticleRheumatology international2019
Factors related to alexithymia in patients with systemic sclerosis: a tight relationship with facial image dissatisfaction.
Article in Rheumatology international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- Does Guided Written Disclosure Reduce Distress and Improve Psychological Functioning in Patients with Skin Diseases?International journal of environmental research and public health · 2022Trial
- Psychological Aspects of Rheumatic Diseases: Psychorheumatology in Clinical Practice.Rheumatology and therapy · 2026Review
- Males and females with scleroderma: A comparative study in a Brazilian sample.Archives of rheumatology · 2023Article
- Systematic Review of Alexithymia in the Population of Hemodialysis Patients.Journal of clinical medicine · 2021Review
- Multi-Method Approach in the Assessment of Alexithymia in Patients With Scleroderma: Use of Two Different Tools.Frontiers in psychology · 2021Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To assess clinical and psychosocial factors related to alexithymia in systemic sclerosis (SSc). We enrolled 40 consecutive SSc patients in a cross-sectional study evaluating alexithymia with Toronto Alexithymia scale (TAS-20). We measured Beck Depression inventory (BDI), Hamilton Anxiety rating scale (HAM-H), 36-Items Short-Form Healthy Survey (SF-36), Functional Assessment of Chronic Illness Therapy (FACIT)-Fatigue, Visual Analog Scale (VAS) pain, Pittsburgh Sleep Quality Index (PSQI), Satisfaction with Appearance Scale (SWAP), and Mouth Handicap in Systemic Sclerosis (MHISS). The prevalence of alexithymia was 42%. Alexithymic patients presented increased depressive (p = ≤ 0.001) and anxiety symptoms (p = ≤ 0.001), sleep disorders (p = 0.03), pain (p = 0.02), esthetic concerns (p = 0.03), disability in activities (p = 0.03) and reduced scores of SF-36 in mental components summary (MCS) (p = ≤ 0.001) and physical components summary (PCS) (p = 0.01). We found significant correlations with sleep disorders (r = 0.41, p = ≤ 0.001), BID (r = 0.35, p = 0.04), facial image dissatisfaction (r = 0.35, p = 0.04), mouth disability (r = 0.51, p = 0.005), depressive (r = 0.6, p = ≤ 0.001), and anxiety symptoms (r = 0.48, p = ≤ 0.001), fatigue (r = - 0.45 p = 0.005), SF-36 PCS (r = - 0.51, p = ≤ 0.001) and MCS (r = - 0.65, p = ≤ 0.001). In multiple linear regression analysis, SWAP facial was the only variable associated with TAS-20 [0.99 (0.48) p = 0.05]. Alexithymia correlates with several psychosocial factors but seems strongly related to facial image dissatisfaction.
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