English  |  正體中文  |  简体中文  |  Items with full text/Total items : 94286/110023 (86%)
Visitors : 21710236      Online Users : 282
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/3313


    Title: A Predictive Model for Depression- An Example from Chronic Disease
    Authors: Li Hsiang-Wei
    Contributors: Department of Healthcare Administration/Healthcare Division
    Keywords: Chronic diseases;Depression
    Date: 2008
    Issue Date: 2009-11-17 11:12:36 (UTC+0)
    Publisher: Asia University
    Abstract: Aims: This study aimed to investigate the association between depression and chronic disease and to explore the risk of depression among the chronic disease.
    Methods: The subjects were selected from registered permanent residents and aged over 15 years old in Taiwan from 2002 National Survey on Knowledge, Attitude and Practice of Heath Promotion. Stratified sampling with selection probability proportional to size was used. There were 26,755 subjects analyzed in this survey. The independent variables include personal characters(age, gender, education and job) and chronic diseases(hypertension, hyperlipidemia, heart attack, cerebral stroke, asthma, kidney disease , diabetes and chronic joint pain). Depression symptom was the dependent variable and scored by using Taiwanese Depression Questionnaire. Score of 19 or more was defined as having depression symptoms. Weighted prevalence, by social demographic characters, and response rate, was calculated and used in multivariate logistic regression model.
    Results: The prevalence rate of depressive symptoms currently was 7.79%, and among female(4.33%) was significantly higher than male(3.46%). Old age, female gender and unemployment had associated with a higher level of depressive symptoms. Education had no relationship with depressive symptoms. All the chronic diseases were significantly related with the depressive symptoms. Under the chronic disease-depression model, cerebral stroke, cardiac attack, asthma, kidney disease, chronic joint pain and diabetes had the strong prediction of depression. Hypertension and hyperlipidemia had less prediction of depression compared with the above chronic diseases.
    Conclusions: Many chronic diseases were related to depression symptoms. When we take care of the patients with above chronic diseases, the depression should be always in consideration.
    Appears in Collections:[健康管理組] 博碩士論文

    Files in This Item:

    File Description SizeFormat
    0KbUnknown481View/Open
    3313.doc25KbMicrosoft Word166View/Open


    All items in ASIAIR are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback