Tomitaka Shinichiro, Kawasaki Yohei, Ide Kazuki, Akutagawa Maiko, Yamada Hiroshi, Ono Yutaka, Furukawa Toshiaki A
Department of Mental Health, Panasonic Health Center, Landic building 3F, Nishishinbashi 3-8-3, Minato-ku, Tokyo, 105-0003, Japan.
Department of Drug Evaluation and Informatics, School of Pharmaceutical Sciences, University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka, 422-8526, Japan.
BMC Psychiatry. 2017 Aug 7;17(1):290. doi: 10.1186/s12888-017-1449-1.
The distributional pattern of total scores on depression screening scales in the general population has not been well studied. Recent studies suggest that the total scores on depression screening scales follow an exponential pattern, with the exception of the lower end of the distribution. To further investigate the findings, we determined the distributions of the total and individual item scores on the Kessler Screening Scale for Psychological Distress (K6).
Data were obtained from the National Survey of Midlife Development in the United States. Participants comprised 6,223 individuals between the ages of 25 and 74. The distributions of the total and individual item scores in various combinations were investigated with histograms and regression analysis.
Irrespective of the combination of items, the total and individual item scores followed an exponential pattern except at the lower scores. The estimated rate parameters of regression analysis were similar among distributions with the same number of chosen items. At the lower scores, the distributional patterns of total scores varied according to the ratio of "a little" to "none" for each item response.
The present results have the potential to estimate the distribution of depressive symptoms in the general population. While the degree of depressive symptoms varies from individual to individual, an entire population may show a certain mathematical distribution.
普通人群中抑郁筛查量表总分的分布模式尚未得到充分研究。近期研究表明,抑郁筛查量表的总分呈指数分布模式,但分布的低端除外。为进一步探究这些发现,我们确定了凯斯勒心理困扰筛查量表(K6)的总分及各项目得分的分布情况。
数据取自美国中年发展全国性调查。参与者包括6223名年龄在25岁至74岁之间的个体。通过直方图和回归分析研究了总分及各项目得分在不同组合情况下的分布。
无论项目如何组合,总分及各项目得分均呈指数分布模式,但低分情况除外。在所选项目数量相同的分布中,回归分析的估计率参数相似。在低分情况下,总分的分布模式因每个项目回答中“有点”与“没有”的比例而异。
目前的结果有可能估计普通人群中抑郁症状的分布。虽然抑郁症状的程度因人而异,但整个人口可能呈现出某种数学分布。