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人格不能区分纤维肌痛患者,但能识别患者亚组。

Personality does not distinguish people with fibromyalgia but identifies subgroups of patients.

机构信息

Institut Clínic de Neurociències, Hospital Clínic de Barcelona.

出版信息

Gen Hosp Psychiatry. 2013 Nov-Dec;35(6):640-8. doi: 10.1016/j.genhosppsych.2013.07.014. Epub 2013 Sep 12.

DOI:10.1016/j.genhosppsych.2013.07.014
PMID:24035635
Abstract

OBJECTIVES

The objectives were to compare the personality of fibromyalgia (FM) patients with other chronic painful and nonpainful disorders considering the confusion due to psychopathology and to assess the clustering of FM patients according to their personality profile.

METHODS

Differences in the NEO Five-Factor Inventory between FM, non-FM chronic pain and drug-resistant epileptic patients were assessed including the confounding effect of demographics and psychopathological status by multivariate regression analysis. Clustering of FM patients was assessed by two-step cluster analysis. Differences in clinical severity and psychosocial problems between subgroups and their outcome 6 months after multidisciplinary treatment were assessed.

RESULTS

The final sample comprised 874 patients. Once the effect of confounding variables was considered, clinically nonsignificant differences in personality were observed between groups. FM patients could, however, be grouped into two clusters. Cluster 1 was characterized by higher neuroticism and lower extraversion and showed a worse pretreatment clinical state including more psychosocial problems. In spite of having reached a wider general improvement at 6-month follow-up, Cluster 1 patients remained more anxious and depressed.

CONCLUSIONS

Identifying personality-based subgroups of FM might allow implementing specific preventive strategies. FM treatment might be optimized by increasing medication compliance, improving therapeutic alliance and testing different therapeutic options and treatment sequencing for each personality subgroup.

摘要

目的

本研究旨在比较纤维肌痛(FM)患者与其他慢性疼痛和非疼痛障碍患者的人格特征,以消除精神病理学带来的混淆,并根据患者的人格特征对 FM 患者进行聚类分析。

方法

采用多变量回归分析评估 NEO 五因素人格量表在 FM、非 FM 慢性疼痛和耐药性癫痫患者之间的差异,包括混杂因素(人口统计学和精神病理状态)。采用两步聚类分析评估 FM 患者的聚类情况。评估亚组之间临床严重程度和心理社会问题的差异及其在多学科治疗 6 个月后的结果。

结果

最终样本包括 874 名患者。考虑混杂变量的影响后,各组间的人格差异无统计学意义。然而,FM 患者可以分为两个亚组。第 1 组以更高的神经质和更低的外向性为特征,且治疗前的临床状态更差,包括更多的心理社会问题。尽管在 6 个月的随访中达到了更广泛的一般改善,但第 1 组患者仍表现出更多的焦虑和抑郁。

结论

确定基于人格的 FM 亚组可能有助于实施特定的预防策略。通过提高药物依从性、改善治疗联盟、测试不同的治疗选择和治疗顺序,可以优化 FM 治疗,针对每个人格亚组进行治疗。

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