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Cited by 41Psychosomatic Disorders and Their TreatmentsMental Health Treatment and AccessWorkplace Health and Well-being

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Prediction of major depression in Japanese adults: Somatic manifestation of depression in annual health examinations

Nakao, Mutsuhiro, Yano, Eiji·2006·Journal of Affective Disorders
DOI 10.1016/j.jad.2005.09.010
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Abstract

Background The present study examined whether somatic symptoms found in annual health examinations, could be predictive of major depression in the ensuing year.Method Subjects analyzed were 1027 non-major-depressive workers (706 men, mean age 35) attending annual health examinations at a research institute. All were Japanese and found not to be suffering from major depression when interviewed, according to the semi-structured interviews of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV). A self-administered questionnaire containing items relating to twelve major somatic symptoms was completed by all the subjects. The same DSM-IV interviews for the diagnosis of major depression were conducted to calculate the odds ratio of baseline variables for depressive and somatic symptoms, physical examination items, and health-related life-styles for the prediction of major depression in the ensuing year.Results The prevalence of major depression in the ensuing year was 2.5%. For four somatic symptoms (fatigue, lower back pain, dizziness, and nausea), the prevalence was higher (all p < 0.05) in those who complained of each somatic symptom at baseline than in those who did not. Furthermore, the multiple logistic regression analysis indicated that lower back pain and dizziness at baseline were independent risk factors of major depression in the ensuing year [odds ratio (95% confidence intervals), 3.2 (1.1, 8.9) and 6.0 (1.8, 20.1), respectively].Limitations It is possible that somatic manifestations of depression are culturally bound phenomena and results might be generalizable only to Japanese workers.Conclusion Somatic symptoms reported at annual health examinations may be useful indicators for predicting major depression.

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  1. Brown, 1998, Diagnosis and treatment of depression in primary medical care practice: the application of research findings to clinical practice, J. Clin. Psychol., 54, 303, 10.1002/(SICI)1097-4679(199804)54:3<303::AID-JCLP2>3.0.CO;2-Q · DOI

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Metadata

Authors
Nakao, M., & Yano, E.
Affiliations
Teikyo University (JP)
Corresponding author
Nakao, Mutsuhiro
ORCID
Venue
Journal of Affective Disorders
Publisher
Elsevier BV
Published
2006-01
Volume
90
Issue
1
Pages
29-35
ISSN
0165-0327 (ISSN-L)
DOI
10.1016/j.jad.2005.09.010
OpenAlex
W2023911555
Cited by
41
References
36
Citations by year
2026: 3 · 2024: 1 · 2023: 1 · 2021: 1 · 2020: 4 · 2019: 3 · 2017: 3 · 2016: 2 · 2015: 2 · 2014: 2 · 2013: 4 · 2012: 2
FWCI
1.40
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Locations
  • Journal of Affective Disorders (publishedVersion)
  • PubMed (publishedVersion)
Funders
Ministry of Education, Culture, Sports, Science and Technology
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Psychosomatic Disorders and Their Treatments
  • Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Workplace Health and Well-being
Keywords
major depressive disorder, somatic symptoms, depression prediction, annual health examination, low back pain, dizziness, fatigue, nausea, risk factors, Japanese workers, occupational health
MeSH terms
Adult, Major Depressive Disorder, Female, Health Services, Health Status, Humans, Japan, Male, Occupations, Somatoform Disorders, Diagnostic and Statistical Manual of Mental Disorders, Asian People

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.