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Introduction: Hidradenitis suppurativa (HS) can severely affect the quality of life (QoL) and is linked to psychological distress, including anxiety, depression, and reduced self-esteem. Stigmatization due to physical appearance may significantly contribute to the psychological burden and impact on QoL for HS patients. This study investigates the association between stigmatization, depression, anxiety, and health- and disease-related variables among HS patients in Europe.
Patients And Methods: This observational cross-sectional multicenter study was conducted across 22 dermatological outpatient clinics in 17 European countries. Data collected included sociodemographic variables, general health variables, disease-related variables, perceived stigmatization (PSQ), and mental health (PHQ-2, GAD-2).
Results: Of the 5487 dermatological patients, 142 (2.6%) were diagnosed with HS, and data from 135 patients (70.1% women, mean age 38.2 years) who completed the PSQ questionnaire were analyzed. Scores on the stigmatization measure indicated that significant stigmatization levels were present in the sample. Linear regression models revealed a significant relationship between stigmatization and both the duration of HS and the presence of itch. Similar findings were noted for the PSQ "confused/staring behavior" scale with depression. The PSQ "absence of friendly behavior" scale was inversely associated with general health status, whereas the "hostile behavior" scale was positively linked to depression.
Conclusion: HS patients experience significant stigmatization linked to disease duration, itch, and depression. Comprehensive management, including screening for psychosocial co-morbidity, is essential, as is providing access to psychological interventions that support patients to both manage internal distress and the potential reactions of others.
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http://dx.doi.org/10.1111/ijd.17569 | DOI Listing |
J Med Internet Res
September 2025
School of Governance and Policy Science, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).
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The Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa 56025, Italy.
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Department of Mathematical and Computational Methods, National Laboratory for Scientific Computing, Petrópolis, Brazil.
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View Article and Find Full Text PDFPLoS One
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School of Computer Science, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
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