Boundary curves of individual items in the distribution of total depressive symptom scores approximate an exponential pattern in a general population

PeerJ

article

Shinichiro Tomitaka¹  Yohei Kawasaki²  Kazuki Ide²  Maiko Akutagawa²  Hiroshi Yamada²  Toshiaki A. Furukawa³  Yutaka Ono⁴ 

[1] Department of Mental Health, Panasonic Health Center;Department of Drug Evaluation and Informatics, Graduate School of Pharmaceutical Sciences, University of Shizuoka;Department of Health Promotion and Human Behavior, Department of Clinical Epidemiology/Graduate School of Medicine/School of Public Health, Kyoto University;Center for the Development of Cognitive Behavior Therapy Training

关键词: Depressive symptoms;    Ordinal scale;    Likert scale;    CES-D;    Exponential distribution;    Boundary curve;    Level of measurement;    Depression;    Latent trait;    Logistic distribution;   

DOI  :  10.7717/peerj.2566

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

Background Previously, we proposed a model for ordinal scale scoring in which individual thresholds for each item constitute a distribution by each item. This lead us to hypothesize that the boundary curves of each depressive symptom score in the distribution of total depressive symptom scores follow a common mathematical model, which is expressed as the product of the frequency of the total depressive symptom scores and the probability of the cumulative distribution function of each item threshold. To verify this hypothesis, we investigated the boundary curves of the distribution of total depressive symptom scores in a general population. Methods Data collected from 21,040 subjects who had completed the Center for Epidemiologic Studies Depression Scale (CES-D) questionnaire as part of a national Japanese survey were analyzed. The CES-D consists of 20 items (16 negative items and four positive items). The boundary curves of adjacent item scores in the distribution of total depressive symptom scores for the 16 negative items were analyzed using log-normal scales and curve fitting. Results The boundary curves of adjacent item scores for a given symptom approximated a common linear pattern on a log normal scale. Curve fitting showed that an exponential fit had a markedly higher coefficient of determination than either linear or quadratic fits. With negative affect items, the gap between the total score curve and boundary curve continuously increased with increasing total depressive symptom scores on a log-normal scale, whereas the boundary curves of positive affect items, which are not considered manifest variables of the latent trait, did not exhibit such increases in this gap. Discussion The results of the present study support the hypothesis that the boundary curves of each depressive symptom score in the distribution of total depressive symptom scores commonly follow the predicted mathematical model, which was verified to approximate an exponential mathematical pattern.

【 授权许可】

CC BY