Monk Timothy H, Frank Ellen, Potts Jaime M, Kupfer David J
Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Centre, Pittsburgh, PA 15213, USA.
J Sleep Res. 2002 Sep;11(3):183-90. doi: 10.1046/j.1365-2869.2002.00300.x.
A brief diary instrument to quantify daily lifestyle regularity (SRM-5) is developed and compared with a much longer version of the instrument (SRM-17) described and used previously. Three studies are described. In Study 1, SRM-17 scores (2 weeks) were collected from a total of 293 healthy control subjects (both genders) aged between 19 and 92 years. Five items (1) Get out of bed, (2) First contact with another person, (3) Start work, housework or volunteer activities, (4) Have dinner, and (5) Go to bed were then selected from the 17 items and SRM-5 scores calculated as if these five items were the only ones collected. Comparisons were made with SRM-17 scores from the same subject-weeks, looking at correlations between the two SRM measures, and the effects of age and gender on lifestyle regularity as measured by the two instruments. In Study 2 this process was repeated in a group of 27 subjects who were in remission from unipolar depression after treatment with psychotherapy and who completed SRM-17 for at least 20 successive weeks. SRM-5 and SRM-17 scores were then correlated within an individual using time as the random variable, allowing an indication of how successful SRM-5 was in tracking changes in lifestyle regularity (within an individual) over time. In Study 3 an SRM-5 diary instrument was administered to 101 healthy control subjects (both genders, aged 20-59 years) for two successive weeks to obtain normative measures and to test for correlations with age and morningness. Measures of lifestyle regularity from SRM-5 correlated quite well (about 0.8) with those from SRM-17 both between subjects, and within-subjects over time. As a detector of irregularity as defined by SRM-17, the SRM-5 instrument showed acceptable values of kappa (0.69), sensitivity (74%) and specificity (95%). There were, however, differences in mean level, with SRM-5 scores being about 0.9 units [about one standard deviation (SD)] above SRM-17 scores from the same subject-weeks. SRM-5 scores also deviated more from a Gaussian distribution than did SRM-17 ones. In a study with a sample size of 101, the new SRM-5 instrument yielded scores with a mean of 4.11 and an SD of 1.13. Correlations between lifestyle regularity and age, and between lifestyle regularity and morningness appeared similar whether 5-item or 17-item SRM measures were used. When a gender difference in lifestyle regularity appeared, it was detected by both SRM-5 and SRM-17 measures.
开发了一种用于量化日常生活规律的简短日记工具(SRM - 5),并将其与之前描述和使用的更长版本的工具(SRM - 17)进行比较。描述了三项研究。在研究1中,从总共293名年龄在19至92岁之间的健康对照受试者(男女皆有)中收集了SRM - 17分数(为期2周)。然后从这17个项目中选择了5个项目:(1)起床,(2)首次与他人接触,(3)开始工作、家务或志愿活动,(4)吃晚餐,以及(5)上床睡觉,并计算SRM - 5分数,就好像这5个项目是唯一收集的项目一样。将其与同一受试者 - 周的SRM - 17分数进行比较,观察两种SRM测量之间的相关性,以及年龄和性别对两种工具所测量的生活规律的影响。在研究2中,对一组27名经心理治疗后处于单相抑郁缓解期且连续至少20周完成SRM - 17的受试者重复了这一过程。然后使用时间作为随机变量,在个体内部将SRM - 5和SRM - 17分数进行相关性分析,以表明SRM - 5在跟踪个体生活规律随时间变化方面的成功程度。在研究3中,连续两周对101名健康对照受试者(男女皆有,年龄在20 - 59岁之间)使用SRM - 5日记工具,以获得规范测量结果并测试与年龄和晨型人的相关性。SRM - 5所测量的生活规律与SRM - 17所测量的生活规律在受试者之间以及个体内部随时间的相关性都相当好(约为0.8)。作为由SRM - 17定义的不规律的检测工具,SRM - 5工具显示出可接受的kappa值(0.69)、敏感性(74%)和特异性(95%)。然而,平均水平存在差异,SRM - 5分数比同一受试者 - 周的SRM - 17分数高约0.9个单位[约一个标准差(SD)]。SRM - 5分数也比SRM - 17分数更偏离高斯分布。在一项样本量为101的研究中,新的SRM - 5工具得出的分数均值为4.11,标准差为