Evaluation of affective temperament and anxiety-depression levels in fibromyalgia patients: a pilot study

纤维肌痛患者情感气质和焦虑抑郁水平的评估:一项初步研究

阅读:1

Abstract

OBJECTIVE: Fibromyalgia (FM) patients have higher rates of depression and anxiety disorders than healthy controls. Affective temperament features are subclinical manifestations of mood disorders. Our aim was to evaluate the affective temperaments of FM patients and investigate their association with depression and anxiety levels and clinical findings. METHODS: This cross-sectional study included FM patients and healthy controls. The Hospital Anxiety and Depression Scale (HADS) was used to determine patient anxiety and depression levels, and the Temperament Scale of Memphis, Pisa and San Diego, self-administered version was applied to assess affective temperaments in all subjects. Disease severity was assessed in FM patients with the Fibromyalgia Criteria and Severity Scales and the Fibromyalgia Impact Questionnaire (FIQ). Differences between groups were evaluated using Student's t-tests. Correlations among parameters were performed. RESULTS: This study involved 38 patients with FM (30 female) and 30 healthy controls (25 female). Depressive, anxious and cyclothymic temperaments were significantly higher in FM patients than healthy controls. Statistically significant positive correlations were found between HADS depression score and all temperaments except hyperthymic, as well as between HADS anxiety score and cyclothymic and anxious temperaments. HADS depression and anxiety scores were correlated with symptom severity. We found a higher risk of depression and anxiety among FM patients with higher FIQ scores. CONCLUSION: This study is the first to evaluate affective temperament features of FM patients. Evaluating temperamental traits in FM patients may help clinicians determine which patients are at risk for depression and anxiety disorders.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。