Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Revisiting the link alexithymia-depression in individuals with obesity

Bibliographic Data

ID21284430
AuthorsAhmed Rady (0000-0002-9104-4740, Centre Hospitalier Universitaire de Bordeaux, corresponding author), Tarek Molokhia (0000-0002-4500-4764, Alexandria University), Mariam Abdelaziz (0009-0003-0092-262X, Alexandria University), Dalia Eldeeb (0000-0002-6335-6333, Alexandria University)
Year2026
Volume266
Pages106881
Publication date2026-06-01
Open AccessYes
TypeARTICLE
VenueActa Psychologica (JOURNAL)
Journal identifiersISSN: 0001-6918 • E-ISSN: 1873-6297
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.actpsy.2026.106881
PMID42013760
OpenAlexW7154991680
LanguageEN
References cited22

Alexithymia is a psychological construct characterized by difficulty in recognizing and describing emotions. It has been linked to both obesity and depression. Our aim was to investigate the interplay between alexithymia and depressive symptoms in a sample of individuals with obesity. A sample of 275 adults with obesity (BMI ≥30 kg/m 2 ) was randomly recruited from a nutrition clinic. Psychometric measures included Beck Depression Inventory (BDI) and Toronto Alexithymia Scale −20 (TAS-20). The relationship between alexithymia and depressive mood was further confirmed using the structured clinical interview in subjects with moderate-to-severe BDI scores. Binary logistic regression was used to assess the association between alexithymia and depression, stratified by obesity grade and gender. Linear regression was used to examine the predictive value of alexithymia for depression severity. 49.1% had moderate to severe depressive symptoms. Participants scoring definite alexithymia (TAS-20 ≥ 61) was 40.7%. Alexithymia and depressive mood showed a highly significant association (OR = 5.67, P < 0.001). This association kept constant across all grades of obesity and particularly marked among women (OR = 6.66, P < 0.001), but not observed in men (OR = 2.33, P=N·S). Regression analysis showed that alexithymia scores significantly predicted depression severity (BDI = −7.151 + 0.422 × (TAS-20), R 2 = 0.26, p < 0.001), with the prediction power for Grade I obesity being most obvious (R 2 = 0.41). In individuals with obesity, alexithymia is a strong and independent predictor for the severity of depression, especially among women and in the early stages of obesity. An integrative psychological intervention is needed for a better weight loss

Link (geometry) · MEDLINE · Obesity · Poison control · Eating Disorders and Behaviors · Fibromyalgia and Chronic Fatigue Syndrome Research · Human Factors and Ergonomics · Psychosomatic Disorders and Their Treatments

  • Overweight, Obesity, and Depression

    Floriana S Luppino, Leonore de Wit et al.•Archives of General Psychiatry•2010

  • Depression and obesity

    Open Access•Yuri Milaneschi, W Kyle Simmons et al.•Molecular Psychiatry•2019

  • The twenty-item Toronto Alexithymia scale—I. Item selection and cross-validation of the factor structure

    Open Access•R Michael Bagby, James D A Parker et al.•Journal of Psychosomatic Research•1994

  • The Burden of Obesity in Egypt

    Open Access•Mohamed Aboulghate, Aliaa Elaghoury et al.•Frontiers in Public Health•2021

  • Can alexithymia be assessed through an interview in adolescents? The Toronto Structured Interview for Alexithymia

    Open Access•Stefania Muzi, Michela Di Trani et al.•Frontiers in Psychiatry•2023

  • Internal Consistency of an Arabic Adaptation of the Beck Depression Inventory in Four Arab Countries

    Open Access•Ahmed M Abdel-Khalek•Psychological Reports•1998

  • Selfhood and social distance

    Open Access•Elizabeth M Coker•Social Science & Medicine•2005

  • Association of depression and obesity is mediated by weight perception

    Open Access•Renata G Paulitsch, Lauro M Demenech et al.•Journal of Health Psychology•2021

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae