Laboratório de Neurociências Cognitiva e Social, Universidade Presbiteriana Mackenzie, São Paulo, SP, Brazil. Metacognitiv, São Paulo, SP, Brazil.
Laboratório de Neurociências, Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil.
Trends Psychiatry Psychother. 2022 May 19;44:e20210207. doi: 10.47626/2237-6089-2021-0207.
The existence of a general factor related to psychiatric symptoms is supported by studies using a variety of methods in both clinical and non-clinical samples.
This study aims to evaluate the replicability of the internal structure of the Brief Symptom Inventory in a large Brazilian sample.
Participants were 6,427 Brazilian subjects (81% female). Mean age was 42.1 years (standard deviation [SD] = 13.6, Min = 13, Max = 80). All participants completed the online version of the Brief Symptom Inventory. This scale presents a general score (GSI) and nine specific clusters of symptoms (depression, anxiety, phobic anxiety, interpersonal sensibility, psychoticism, paranoid ideation, obsessive-compulsive behavior, hostility, and somatization symptoms).
Confirmatory factor analysis was performed to assess the factor structure of the BSI. The results showed that the best-fitting model was a bifactor solution and the general factor was the main dimension explaining most of the reliable variability in the data.
The findings suggest that the BSI's internal structure was replicated in a non-clinical sample and that the general factor is the most reliable score. However, it is necessary to better understand the meaning of the general factor scores in a non-clinical sample to increase interpretability of scores.
使用临床和非临床样本中的各种方法进行的研究支持与精神症状相关的一般因素的存在。
本研究旨在评估Brief Symptom Inventory 在大型巴西样本中的内部结构的可复制性。
参与者为 6427 名巴西受试者(81%为女性)。平均年龄为 42.1 岁(标准差[SD] = 13.6,最小值 = 13,最大值 = 80)。所有参与者都完成了 Brief Symptom Inventory 的在线版本。该量表呈现一个总体评分(GSI)和九个特定症状群(抑郁、焦虑、恐惧症焦虑、人际敏感性、精神病性、偏执观念、强迫行为、敌意和躯体化症状)。
进行验证性因素分析以评估 BSI 的因子结构。结果表明,最佳拟合模型是双因素解决方案,一般因素是主要维度,解释了数据中大部分可靠的可变性。
研究结果表明,BSI 的内部结构在非临床样本中得到了复制,一般因素是最可靠的评分。然而,有必要更好地理解非临床样本中一般因素评分的含义,以提高评分的可解释性。