Bruni O, Ottaviano S, Guidetti V, Romoli M, Innocenzi M, Cortesi F, Giannotti F
Department of Developmental Neurology and Psychiatry, University of Rome La Sapienza, Italy.
J Sleep Res. 1996 Dec;5(4):251-61. doi: 10.1111/j.1365-2869.1996.00251.x.
To attempt a categorization of sleep disorders in children, we developed a 27 item Likert-type rating scale (Sleep Disturbance Scale for Children: SDSC) and assessed the psychometric properties was developed. The scale was distributed to the mothers of 1304 children (1157 controls, mean age 9.8 y; 147 sleep disorder subjects, mean age 9.2y, composed of four clinical groups: Insomnia 39 subjects, Hypersomnia 12 subjects, Respiratory disturbances during sleep 25 subjects and Parasomnias 71 subjects). The internal consistency was high in controls (0.79) and remained at a satisfactory level in sleep disorder subjects (0.71); the test/retest reliability was adequate for the total (r = 0.71) and single item scores. The factor analysis (variance explained 44.21%) yielded six factors which represented the most common areas of sleep disorders in childhood and adolescence. Enuresis was the only item with a factor loading lower than 0.40 and with a low inter-item correlation and was therefore eliminated, resulting in a final scale of 26 items. The re-evaluation of the sample, using the factor scores, supported the validity and the discriminating capacity of the scales between controls and the four clinical groups. The correlation between factor scores corroborated the hypothesis that childhood sleep disturbances are not independent entities nor do they cluster into different groupings related to each other. The SDSC appears to be a useful tool in evaluating the sleep disturbances of school-age children in clinical and non-clinical populations.
为尝试对儿童睡眠障碍进行分类,我们编制了一份包含27个条目的李克特式评定量表(儿童睡眠障碍量表:SDSC)并评估了其心理测量特性。该量表发放给了1304名儿童的母亲(1157名对照,平均年龄9.8岁;147名睡眠障碍受试者,平均年龄9.2岁,由四个临床组组成:失眠39名受试者、嗜睡症12名受试者、睡眠期间呼吸障碍25名受试者和异态睡眠71名受试者)。内部一致性在对照组中较高(0.79),在睡眠障碍受试者中也保持在令人满意的水平(0.71);重测信度对于总分(r = 0.71)和单个条目得分来说是足够的。因子分析(方差解释率为44.21%)产生了六个因子,代表了儿童和青少年睡眠障碍最常见的领域。遗尿是唯一一个因子载荷低于0.40且条目间相关性较低的条目,因此被剔除,最终量表为26个条目。使用因子得分对样本进行重新评估,支持了该量表在对照组和四个临床组之间的有效性和区分能力。因子得分之间的相关性证实了这样的假设,即儿童睡眠障碍不是独立的实体,也不会聚集成相互关联的不同分组。SDSC似乎是评估临床和非临床人群中学龄儿童睡眠障碍的一个有用工具。