Literature DB >> 18246352

Fibromyalgia among major depression disorder females compared to males.

Tali Vishne1, Lea Fostick, Alicia Silberman, Marina Kupchick, Alan Rubinow, Haward Amital, Daniela Amital.   

Abstract

The Fibromyalgia syndrome (FMS) is characterized by widespread pain and diffuse tenderness in specified locations. The literature clearly points out that FMS is more prevalent in females rather than males, and among patients with major depression disorder (MDD). The aim of the current study was to obtain a better conception of the linkage existing between depression, gender and FMS. Forty-two male patients and 42 age-matched females, as well as age-matched male and female healthy controls were evaluated for coexisting FMS using the American College of Rheumatology (ACR) classification criteria. Each patient completed a questionnaire characterizing the quality of their sleep, a Sheehan disability scale (SDS) and SF-36 scale to measure the quality of life. The degree of depression of each patient was scored using Hamilton depression rating scales (HDRS) and Global assessment was done using the Clinical Global Impression-Severity (CGI-S). Disease parameters were worse for men as compared to women; CGI-S: 5.4 +/- 1 (mean +/- standard deviation), versus 4.0 +/- 1 (t = 6.634, P < 0.001), HDRS: 23.9 +/- 6 versus 20.8 +/- 6 (t = 2.304, P = 0.024), respectively. Yet, FMS was more prevalent among depressed females; 26% versus 2%, (chi2(3) = 9.722, P = 0.002) and so were the average number of tender points (TP) (6.1 +/- 5 versus 2.2 +/- 3, t = 4.399, P < 0.001). The SF-36, SDS and sleep quality scores were similar between males and females. A one-way analysis of variance with gender and disease (depressed vs. non-depressed) revealed that both gender and disease were found to be significant contributing factors for the number of TP (F = 21.131, P < 0.0001; F = 65.232, P < 0.0001, respectively). A one-way analysis of covariance for TP with CGI-S and HDRS as covariates revealed that gender was a significant factor regardless of depression severity (F = 30.028, P < 0.001). CGI-S and Hamilton scores correlated with TP count in females (r = 0.396, P = 0.009, r = 0.531, P < 0.001) but not in males. Female gender is a risk factor for FMS in depressed population. Depression is associated with FMS among women but not among men. Among females, depression severity is significantly correlated to FMS severity. FMS is correlated to sleep quality and to quality of life among depressed patients.

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Year:  2008        PMID: 18246352     DOI: 10.1007/s00296-008-0533-8

Source DB:  PubMed          Journal:  Rheumatol Int        ISSN: 0172-8172            Impact factor:   2.631


  44 in total

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5.  The London Fibromyalgia Epidemiology Study: comparing the demographic and clinical characteristics in 100 random community cases of fibromyalgia versus controls.

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6.  Gender differences in the prevalence of somatic versus pure depression: a replication.

Authors:  Brett Silverstein
Journal:  Am J Psychiatry       Date:  2002-06       Impact factor: 18.112

7.  The role of catastrophizing in the pain and depression of women with fibromyalgia syndrome.

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8.  Medical symptoms without identified pathology: relationship to psychiatric disorders, childhood and adult trauma, and personality traits.

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Review 10.  Classification, epidemiology, and natural history of fibromyalgia.

Authors:  K P White; M Harth
Journal:  Curr Pain Headache Rep       Date:  2001-08
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  6 in total

1.  [Patients with fibromyalgia: gender differences].

Authors:  M Lange; N Karpinski; B Krohn-Grimberghe; F Petermann
Journal:  Schmerz       Date:  2010-06       Impact factor: 1.107

2.  Fibromyalgia and hysterectomy: the impact on health status and health care costs.

Authors:  Maya S Santoro; Terry A Cronan; Rebecca N Adams; Dhwani J Kothari
Journal:  Clin Rheumatol       Date:  2012-08-09       Impact factor: 2.980

3.  Olfactory impairment in patients with the fibromyalgia syndrome and systemic sclerosis.

Authors:  Howard Amital; Nancy Agmon-Levin; Netta Shoenfeld; Yoav Arnson; Daniela Amital; Pnina Langevitz; Alexandra Balbir Gurman; Yehuda Shoenfeld
Journal:  Immunol Res       Date:  2014-12       Impact factor: 2.829

4.  Association of fibromyalgia characteristics in patients with non-metastatic breast cancer and the protective role of resilience.

Authors:  Michal Schrier; Daniela Amital; Yoav Arnson; Alan Rubinow; Arie Altaman; Bella Nissenabaum; Howard Amital
Journal:  Rheumatol Int       Date:  2011-09-08       Impact factor: 2.631

5.  [Fibromyalgia syndrome. Definition, classification, clinical diagnosis and prognosis].

Authors:  W Eich; W Häuser; B Arnold; W Jäckel; M Offenbächer; F Petzke; M Schiltenwolf; M Settan; C Sommer; T Tölle; N Uçeyler; P Henningsen
Journal:  Schmerz       Date:  2012-06       Impact factor: 1.107

6.  [Validation of the German version of the Regional Pain Scale for the diagnosis of fibromyalgia syndrome].

Authors:  W Häuser; S Schild; M Kosseva; S Hayo; H von Wilmowski; R Alten; J Langhorst; W Hofmann; J Maus; H Glaesmer
Journal:  Schmerz       Date:  2010-06       Impact factor: 1.107

  6 in total

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