Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Tomitaka S

PROVIDER: S-EPMC5068372 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Publications

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

Tomitaka Shinichiro S Kawasaki Yohei Y Ide Kazuki K Akutagawa Maiko M Yamada Hiroshi H Furukawa Toshiaki A TA Ono Yutaka Y

PeerJ 20161011

<h4>Background</h4>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 ite ...[more]

PMID: 27761346

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Project description:BackgroundMajor depression is common in coronary heart disease (CHD) but challenging to diagnose. Instead of focusing on the overall diagnosis of depression, base rates of depressive symptoms could facilitate screening and management of psychopathology in CHD. The present study investigates the frequency of individual depressive symptoms in CHD and their impact on cardiac and subjective health.MethodsIn total, 1337 in- and outpatients with CHD were screened for depressive symptoms with the Patient Health Questionnaire-9 (PHQ-9) at three different cardiac treatment sites. Tables stratified by age and gender were designed to illustrate base rates of depressive symptoms. Multiple regression analyses adjusted for sociodemographic and clinical data were conducted to test associations between individual depressive symptoms and quality of life as well impairment caused angina pectoris and dyspnea.ResultsDuring the last 14 days, more than half of patients reported a loss of energy (74.9%, 95% Confidence Interval (CI): 70.6-79.2), sleeping problems (69.4%, 95% CI: 64.9-74.0), loss of interest (55.7%, 95% CI: 50.8-60.7). In contrast, psychomotor change (25.6%, 95%CI: 21.3-30.0), feelings of failure (21.9%, 95%CI: 17.7-26.0), suicidal ideations (14.1%, 95%CI: 10.7-17.6) were less frequently reported. Depending on the outcome, only particular depressive symptoms were highly associated with low quality of life and impairment caused by angina pectoris and dyspnea. Loss of energy was the only depressive symptom that reliably predicted all three outcomes.ConclusionsDepressive symptoms in CHD are frequent but vary widely in terms of frequency. Findings underline the differential effects of individual depressive symptoms on cardiac health. Presented base rates of depressive symptoms offer clinicians a new way to judge the severity of individual depressive symptoms and to communicate individual PHQ-9 profiles with patients with respect to gender, age, cardiac symptoms and quality of life.

Dataset Information

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

Background

Methods

Results

Discussion

Publications

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

Similar Datasets

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