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Comparisons of the prevalence of and risk factors for elderly depression between urban and rural populations in Japan

Published online by Cambridge University Press:  20 February 2012

Y. Abe ,
N. Fujise ,
R. Fukunaga ,
Y. Nakagawa  and
M. Ikeda
Y. Abe
Affiliation:
Yatsushiro Kousei Hospital, Yatsushiro City, Kumamoto, Japan
N. Fujise
Affiliation:
Department of Psychiatry and Neuropathobiology, Faculty of Life Sciences, Kumamoto University, Kumamoto City, Kumamoto, Japan
R. Fukunaga
Affiliation:
Department of Psychiatry and Neuropathobiology, Faculty of Life Sciences, Kumamoto University, Kumamoto City, Kumamoto, Japan
Y. Nakagawa
Affiliation:
Kumamoto Prefectural Government, Kumamoto City, Kumamoto, Japan
M. Ikeda*
Affiliation:
Department of Psychiatry and Neuropathobiology, Faculty of Life Sciences, Kumamoto University, Kumamoto City, Kumamoto, Japan
*
Correspondence should be addressed to: Mananbu Ikeda, MD, PhD, Department of Psychiatry and Neuropathobiology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto City, Kumamoto 860-8556, Japan. Phone: +81-96-373-5184; Fax: +81-96-373-5186. Email: mikeda@kumamoto-u.ac.jp.
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Abstract

Background: The aim of the present study was to investigate the differences in the prevalence of and risk factors for elderly depression between urban and rural areas in Japan and to further understanding of the features of elderly depression.

Methods: A multistage, random sampling procedure and mailing method were used in urban and rural areas in Kumamoto Prefecture. A total of 2,152 participants aged 65 years and older were evaluated for depression using the Geriatric Depression Scale (GDS). Factors associated with depression were also examined. In order to assess the relationship between risk factors and subjective happiness, the Philadelphia Geriatric Center Morale Scale (PGC-MS) was used.

Results: Depressive symptoms were associated with living alone, being unemployed, chronic illness, sleep disturbance, suicidal ideation, financial strain, and poor social support; the risk factors for elderly depression were almost the same in the two areas. Although three factors (financial strain, work status, and PGC-MS) were significantly associated with depression in both areas on logistic regression analysis, sleep disturbance was significant only for the urban area, and poor social support was significant only for the rural area.

Conclusions: Although factors related to depression did not differ markedly between urban and rural elderly people, some risk factors differed between the two areas. Effective intervention programs for elderly depression should pay more attention to regional differences.

Keywords

social supportsleepsuicide
Type
Research Article
Information
International Psychogeriatrics , Volume 24 , Special Issue 8: Focus on late life depression , August 2012 , pp. 1235 - 1241
Copyright
Copyright © International Psychogeriatric Association 2012

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