巴西葡萄牙语版 Snaith-Hamilton 快感量表（SHAPS）的心理测量特性。
Psychometric properties the of Brazilian Portuguese version of Snaith-Hamilton Pleasure Scale (SHAPS).
机构信息
Programa de Pós-Graduação em Medicina e Saúde, Faculdade de Medicina da Bahia, Universidade Federal da Bahia (UFBA), Salvador, BA, Brazil.
Laboratório de Neuropsicofarmacologia (LANP), Serviço de Psiquiatria, Hospital Universitário Professor Edgard Santos, UFBA, Salvador, BA, Brazil.
出版信息
Trends Psychiatry Psychother. 2021 Jan-Mar;43(1):23-29. doi: 10.47626/2237-6089-2019-0066.
INTRODUCTION
Anhedonia is defined as the reduced ability to feel pleasure and is a core symptom of various psychiatric disorders such as depression and schizophrenia. The Snaith-Hamilton Pleasure Scale (SHAPS) was developed to assess the presence of anhedonia. The objective of this study was to assess the psychometric properties of the Brazilian Portuguese version of the SHAPS.
METHODS
In this study, the SHAPS (14 items) was translated into Brazilian Portuguese and validated using data obtained from 228 subjects within a clinical sample. Psychometric properties were assessed using item response theory (logistic models) and classical test theory (Cronbach's alpha). We checked for external validity using a non-parametric correlation with an independent scale: Hospital Anxiety and Depression Scale - Depression subscale (HAD-D).
RESULTS
The SHAPS presented good internal consistency, with a Cronbach's α coefficient of 0.759 and adequacy to an IRT 1 parameter logistic (Rasch) model. The SHAPS presented significant correlation with the external measure HAD-D, with Spearman's ρ = 0.249 (S = 1368914; p < 0.001).
CONCLUSION
These results suggest that the Brazilian Portuguese version of the SHAPS is a reliable and valid instrument to assess hedonic tone.
简介
快感缺失被定义为感受快乐的能力降低，是各种精神疾病（如抑郁症和精神分裂症）的核心症状之一。Snaith-Hamilton 快感量表（SHAPS）旨在评估快感缺失的存在。本研究旨在评估 SHAPS 的巴西葡萄牙语版本的心理测量特性。
方法
在这项研究中，SHAPS（14 项）被翻译成巴西葡萄牙语，并使用来自临床样本中的 228 名受试者的数据进行验证。使用项目反应理论（逻辑模型）和经典测试理论（Cronbach 的 α）评估心理测量特性。我们使用与独立量表（医院焦虑和抑郁量表-抑郁分量表（HAD-D）的非参数相关性检查外部效度。
结果
SHAPS 呈现出良好的内部一致性，Cronbach 的 α 系数为 0.759，与 IRT 1 参数逻辑（Rasch）模型适配。SHAPS 与外部测量 HAD-D 显著相关，Spearman 的 ρ = 0.249（S = 1368914；p < 0.001）。
结论
这些结果表明，巴西葡萄牙语版本的 SHAPS 是评估快感的可靠有效工具。
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