Literature DB >> 27567033

The prevalence of anxiety and depression in patients with or without hyperhidrosis (HH).

Rayeheh Bahar1, Pingyu Zhou2, Yudan Liu2, Yuanshen Huang1, Arlie Phillips1, Tim K Lee1, Mingwan Su1, Sen Yang3, Sunil Kalia1, Xuejun Zhang3, Youwen Zhou4.   

Abstract

BACKGROUND: There are conflicting data about the correlation between hyperhidrosis (HH) and anxiety and depression.
OBJECTIVE: We sought to determine the prevalence of anxiety and depression in patients with or without HH.
METHODS: We examined 2017 consecutive dermatology outpatients from Vancouver, British Columbia, Canada, and Shanghai, China, using Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7 scales for anxiety and depression assessments. Multivariable logistic regression analysis was performed to evaluate if the impact of HH on anxiety and depression is dependent on demographic factors and diagnoses of the patients' presenting skin conditions.
RESULTS: The prevalence of anxiety and depression was 21.3% and 27.2% in patients with HH, respectively, and 7.5% and 9.7% in patients without HH, respectively (P value <.001 for both). There were positive correlations between HH severity and the prevalence of anxiety and depression. Multivariable analysis showed that HH-associated increase in anxiety and depression prevalence is independent of demographic factors and presenting skin conditions. LIMITATION: The data from the questionnaires relied on the accuracy of patients' self-reports.
CONCLUSION: Both single variant and multivariable analyses showed a significant association between HH and the prevalence of anxiety and depression in a HH severity-dependent manner.
Copyright © 2016 American Academy of Dermatology, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  anxiety; depression; dermatology; late-onset hyperhidrosis; multivariable logistic regression analysis; negative impact; primary hyperhidrosis

Mesh:

Year:  2016        PMID: 27567033     DOI: 10.1016/j.jaad.2016.07.001

Source DB:  PubMed          Journal:  J Am Acad Dermatol        ISSN: 0190-9622            Impact factor:   11.527


  17 in total

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Authors:  Hiroo Yokozeki; Tomoko Fujimoto; Shunsuke Wanatabe; Shuhei Ogawa; Chie Fujii
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