Department of Psychological Studies, The Hong Kong Institute of Education, Tai Po, Hong Kong.
J Pain Symptom Manage. 2011 Aug;42(2):308-18. doi: 10.1016/j.jpainsymman.2010.10.263. Epub 2011 Mar 12.
Research consistently has evidenced the reliability and validity of the Pain Beliefs and Perceptions Inventory (PBPI). The instrument, however, has not been tested for its applicability and validity in non-Western populations.
To translate the English language version of the PBPI into Chinese (ChPBPI) and to evaluate its reliability, validity, and factor structure.
A total of 208 Chinese patients with mixed origin chronic pain were recruited from an orthopedic specialist outpatient clinic associated with a public hospital in Hong Kong. In addition to the ChPBPI, patients were administered the Chronic Pain Grade (CPG) questionnaire, the Pain Catastrophizing Scale (PCS), the Center for Epidemiological Studies-Depression Scale (CES-D), and questions assessing sociodemographic characteristics.
Using the original factor structure of the PBPI as a model, confirmatory factor analyses revealed that all four ChPBPI scales demonstrated good data-model fit (CFI≥0.92) and adequate internal consistency (Cronbach's αs: 0.60-0.76). The four ChPBPI scales showed significant positive correlations with CES-D, PCS, pain intensity, and disability. Results of hierarchical multiple regression analyses showed that the ChPBPI scales predicted concurrent depression (F(4, 187)=6.01, P<0.001), pain intensity (F(4, 186)=4.61, P<0.01), and pain disability (F(4, 190)=3.54, P<0.05) scores.
These findings support the factorial validity of the scales of the ChPBPI, and its reliability and construct validity. Now clinically relevant beliefs about pain can be assessed among Chinese patients with chronic pain.
研究一直证明疼痛信念和知觉量表(PBPI)的可靠性和有效性。然而,该工具尚未在非西方人群中测试其适用性和有效性。
将 PBPI 的英文版本翻译成中文(ChPBPI),并评估其信度、效度和因子结构。
共招募了 208 名来自香港公立医院骨科专科门诊的混合来源慢性疼痛患者。除了 ChPBPI 外,患者还接受了慢性疼痛等级(CPG)问卷、疼痛灾难化量表(PCS)、流行病学研究中心抑郁量表(CES-D)和评估社会人口特征的问题。
使用 PBPI 的原始因子结构作为模型,验证性因子分析表明,ChPBPI 的所有四个量表均表现出良好的数据模型拟合(CFI≥0.92)和足够的内部一致性(Cronbach's αs:0.60-0.76)。四个 ChPBPI 量表与 CES-D、PCS、疼痛强度和残疾显著正相关。层次多元回归分析的结果表明,ChPBPI 量表可预测同期抑郁(F(4,187)=6.01,P<0.001)、疼痛强度(F(4,186)=4.61,P<0.01)和疼痛残疾(F(4,190)=3.54,P<0.05)评分。
这些发现支持了 ChPBPI 量表的因子有效性,以及其信度和结构有效性。现在可以在中国慢性疼痛患者中评估与疼痛相关的临床相关信念。