Age-related changes in the distributions of depressive symptom items in the general population: a cross-sectional study using the exponential distribution model

PeerJ

article

Shinichiro Tomitaka¹  Yohei Kawasaki²  Kazuki Ide²  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, Kyoto UniversitGraduate School of Medicine/School of Public Health, Kyoto University;Center for the Development of Cognitive Behavior Therapy Training

关键词: Depressive symptoms;    CES-D;    CIS-R;    Mathematical model;    Item response;    Questionnaire;    Depression;    Exponential distribution;    Latent trait;   

DOI  :  10.7717/peerj.1547

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

Background. Previous research has reported inconsistent evidence of the trajectory of depressive symptoms across the adult lifespan. We investigated how the distributions of each item score change with age and determined whether the trajectory of depressive symptoms varied with the scoring methods of the questionnaire.Methods. We analyzed data collected from 21,040 subjects who participated in the national survey in Japan. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (CES-D). The CES-D has 20 items, each of which is scored in four grades of “rarely,” “some,” “much,” and “most of the time.” We used the exponential distribution model which fits the distributions of 16 negative symptom items of CES-D, with the probabilities of “some,” “much,” “most,” and “rarely” expressed as P, Pr, Pr2, and 1 − P × (r2 + r + 1).Results. The distributions of the responses to 16 negative symptom items followed the common exponential model across all age groups. The mean of the estimated parameter r of 16 negative items showed a U-shape pattern, being high during 12–29 years, remaining low during 30–50 years, and then increasing again over 60 years. The trajectory of depressive symptom scores simulating the binary method was different from that of the empirical scores using the Likert method.Conclusions. Our findings show that the increase in the depressive symptoms score during older age is based on the increase of the parameter r. The differences in the scoring method may contribute to the different age-related patterns across the adult lifespan.

【 授权许可】

CC BY