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[在俄罗斯验证用于评估单相抑郁症患者快感缺乏的斯奈斯 - 汉密尔顿愉悦量表]

[Validation of the Snaith-Hamilton Pleasure Scale to assess anhedonia in patients with unipolar depression In Russia].

作者信息

Kasyanov E D, Rukavishnikov G V, Kibitov A O, Mazo G E

机构信息

V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, St. Petersburg, Russia.

Academian I.P. Pavlov First Saint Petersburg State Medical University, St. Petersburg, Russia, St. Petersburg, Russia.

出版信息

Zh Nevrol Psikhiatr Im S S Korsakova. 2025;125(7):110-121. doi: 10.17116/jnevro2025125071110.

Abstract

OBJECTIVE

To analyze the factor structure, internal consistency, convergent and discriminant validity, and the prognostic significance of the Snaith-Hamilton Pleasure Scale (SHAPS) in the Russian population of patients with monopolar depression.

MATERIAL AND METHODS

This multicenter cross-sectional study included patients with monopolar depression (age 18-74):those with a current depressive episode (242, 61.6% females) and those in remission (49, 73.5% females), as well as healthy subjects in the control group (324, 65.4% females). All participants underwent a structured interview to verify the clinical diagnosis and a psychometric examination. Data analysis was performed using the R programming language in RStudio version 4.4.0.

RESULTS

The analysis of the main components revealed the three-factor structure of SHAPS, reflecting sensory pleasure, social pleasure, and pleasure from daily activities. The internal consistency of the scale was good (Cronbach's α=0.82 [95% CI 0.79-0.85]). SHAPS demonstrated high convergent and discriminant validity: patients with a current depressive episode had significantly higher scores compared to those in remission (6 [2.3-9] vs. 2 [0-3], =2.2·10) and healthy subjects (6 [2.3-9] vs. 0 [0-1], =2.2·10). The correlation analysis showed a moderate association with the Montgomery-Asberg Depression Rating Scale (ρ=0.31, =9.2·10), while the correlations with the scales measuring other latent constructs were not significant (>0.05). The ROC analysis revealed the optimal cut-off values: ≥8 points to distinguish between the current depressive episode and remission, and ≥5.5 points to distinguish between the current depressive episode and the absence of the disease.

CONCLUSION

The study demonstrated for the first time the validity of the Russian-language version of SHAPS in a sample of patients with monopolar depression.

摘要

目的

分析斯奈斯 - 汉密尔顿愉悦量表(SHAPS)在俄罗斯单相抑郁症患者群体中的因子结构、内部一致性、聚合效度和区分效度,以及其预后意义。

材料与方法

这项多中心横断面研究纳入了单相抑郁症患者(年龄18 - 74岁):当前有抑郁发作的患者(242例,女性占61.6%)和缓解期患者(49例,女性占73.5%),以及对照组中的健康受试者(324例,女性占65.4%)。所有参与者均接受结构化访谈以核实临床诊断,并进行心理测量检查。使用RStudio版本4.4.0中的R编程语言进行数据分析。

结果

主成分分析揭示了SHAPS的三因子结构,反映了感官愉悦、社交愉悦和日常活动愉悦。该量表的内部一致性良好(克朗巴哈α系数 = = 0.82 [95%置信区间0.79 - 0.8])。SHAPS显示出高聚合效度和区分效度:当前有抑郁发作的患者得分显著高于缓解期患者(6 [2.3 - 9] 对 2 [0 - 3],= 2.2·10)和健康受试者()[6 [2.3 - 9] 对 0 [0 - 1],= 2.2·10)。相关分析表明与蒙哥马利 - 阿斯伯格抑郁评定量表存在中度关联(ρ = 0.31,= 9.2·10),而与测量其他潜在构念的量表的相关性不显著(> 0.05)。ROC分析揭示了最佳截断值:≥8分可区分当前抑郁发作和缓解期,≥5.5分可区分当前抑郁发作和无疾病状态。

结论

该研究首次证明了俄语版SHAPS在单相抑郁症患者样本中的效度。

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