Medical Psychological Center, the Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Institute of Mental Health, the Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
J Affect Disord. 2021 Feb 15;281:759-766. doi: 10.1016/j.jad.2020.11.068. Epub 2020 Nov 13.
Anhedonia, a key symptom of depression and schizophrenia, has emerged as a potential endophenotype. The aim of this study was to evaluate the psychometric properties of a Chinese version of the Snaith-Hamilton Pleasure Scale(SHAPS), a self-report anhedonia scale, in a non-clinical sample and clinical sample inclusive of major depressive disorder (MDD), schizophrenia, or a personality disorder.
A total of 4,722 undergraduate students and 352 clinical patients participated in this study. Internal consistency was assessed by calculating Cronbach's α and mean inter-item correlation (MIC) values. Test-retest reliability and convergent validity were assessed with Pearson r coefficients. The best fitting of six potential factor-structure models was determined by confirmatory factor analysis (CFA). Measurement invariance across genders and samples was determined by multi-group CFA.
Internal consistency of the Chinese version of the SHAPS was acceptable in non-clinical (Cronbach's α = 0.90) and clinical (Cronbach's α = 0.91) samples. Four-week interval test-retest reliability was 0.60. Moreover, the Spanish four-factor structure had the best fit indexes in both samples. Scalar invariance was established across genders as well as across non-clinical sample and clinical sample. SHAPS was significantly related with the Temporal Experience of Pleasure Scale (TEPS) and Beck Depression Inventory (BDI).
There was a restricted scope of convergent validity and the size of clinical sample is relatively small, psychometric properties in elderly sample is also required.
The Chinese version of the SHAPS is a reliable, effective, simple and convenient tool for assessing and screening for anhedonia.
快感缺失是抑郁和精神分裂症的一个关键症状，已成为一个潜在的内表型。本研究旨在评估斯奈思-汉密尔顿快感量表（SHAPS）中文版的心理测量特性，该量表是一种自我报告的快感缺失量表，适用于非临床样本和包括重性抑郁障碍（MDD）、精神分裂症或人格障碍在内的临床样本。
共有 4722 名本科生和 352 名临床患者参与了这项研究。内部一致性通过计算 Cronbach's α 和平均项目间相关（MIC）值来评估。测试-重测信度和聚合效度通过 Pearson r 系数进行评估。通过验证性因子分析（CFA）确定六个潜在因素结构模型的最佳拟合。通过多组 CFA 确定性别和样本间的测量不变性。
中文版 SHAPS 在非临床样本（Cronbach's α=0.90）和临床样本（Cronbach's α=0.91）中的内部一致性是可以接受的。四周间隔的重测信度为 0.60。此外，西班牙四因素结构在两个样本中都具有最佳的拟合指数。在性别和非临床样本与临床样本之间都建立了标量不变性。SHAPS 与时间体验快感量表（TEPS）和贝克抑郁量表（BDI）显著相关。
收敛效度的范围有限，临床样本的规模相对较小，也需要对老年样本的心理测量特性进行研究。
中文版 SHAPS 是一种可靠、有效、简单、方便的评估和筛查快感缺失的工具。
