Mini-Mental Status Examination as predictors of mortality in the elderly.

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Title: Mini-Mental Status Examination as predictors of mortality in the elderly.
Authors: Park, M. H., Kwon, D. Y., Jung, J. M., Han, C., Jo, I., Jo, S. A.
Source: Acta Psychiatrica Scandinavica. Apr2013, Vol. 127 Issue 4, p298-304. 7p. 3 Charts, 1 Graph.
Subjects: Older patients, Mortality, Cognition disorders in old age, Longitudinal method, Sociodemographic factors
Abstract: Objective: Because the number of elderly is increasing worldwide, cognitive dysfunction becomes important health care issue. This study investigated the association between cognitive dysfunction and mortality in the elderly. Method: Data were analyzed from a longitudinal mortality follow-up study of 2712 Korean elderly aged 60 and over, examined in 2002 with complete data followed an average 6.03 years. Measurements included socio-demographic and clinical factors and Mini-Mental State Examination (MMSE). MMSE was categorized into groups with no, mild, or moderate cognitive dysfunction, and the subscores of MMSE domains were categorized into no dysfunction or dysfunction. The Cox proportional hazards models were conducted to examine the association between MMSE score and mortality, after adjusting for age, gender, education and other socio-demographic factors. Results: Death during follow-up occurred in 318 subjects. The mortality risk was significantly associated with the elderly with mild cognitive dysfunction [hazard ratio (HR) = 1.93] and with moderate cognitive dysfunction (HR = 2.66). 'Orientation-to-time' (HR = 1.39) and 'Attention' (HR = 1.48) domains of MMSE were independently associated with mortality. Conclusion: This study showed that cognitive dysfunction independently predicted mortality in the elderly. Cognitive dysfunction should be considered part of identifying the elderly at high risk for mortality. [ABSTRACT FROM AUTHOR]
Copyright of Acta Psychiatrica Scandinavica is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Label: Title
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  Data: Mini-Mental Status Examination as predictors of mortality in the elderly.
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  Data: <searchLink fieldCode="AR" term="%22Park%2C+M%2E+H%2E%22">Park, M. H.</searchLink><br /><searchLink fieldCode="AR" term="%22Kwon%2C+D%2E+Y%2E%22">Kwon, D. Y.</searchLink><br /><searchLink fieldCode="AR" term="%22Jung%2C+J%2E+M%2E%22">Jung, J. M.</searchLink><br /><searchLink fieldCode="AR" term="%22Han%2C+C%2E%22">Han, C.</searchLink><br /><searchLink fieldCode="AR" term="%22Jo%2C+I%2E%22">Jo, I.</searchLink><br /><searchLink fieldCode="AR" term="%22Jo%2C+S%2E+A%2E%22">Jo, S. A.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Acta+Psychiatrica+Scandinavica%22">Acta Psychiatrica Scandinavica</searchLink>. Apr2013, Vol. 127 Issue 4, p298-304. 7p. 3 Charts, 1 Graph.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Older+patients%22">Older patients</searchLink><br /><searchLink fieldCode="DE" term="%22Mortality%22">Mortality</searchLink><br /><searchLink fieldCode="DE" term="%22Cognition+disorders+in+old+age%22">Cognition disorders in old age</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Sociodemographic+factors%22">Sociodemographic factors</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objective: Because the number of elderly is increasing worldwide, cognitive dysfunction becomes important health care issue. This study investigated the association between cognitive dysfunction and mortality in the elderly. Method: Data were analyzed from a longitudinal mortality follow-up study of 2712 Korean elderly aged 60 and over, examined in 2002 with complete data followed an average 6.03 years. Measurements included socio-demographic and clinical factors and Mini-Mental State Examination (MMSE). MMSE was categorized into groups with no, mild, or moderate cognitive dysfunction, and the subscores of MMSE domains were categorized into no dysfunction or dysfunction. The Cox proportional hazards models were conducted to examine the association between MMSE score and mortality, after adjusting for age, gender, education and other socio-demographic factors. Results: Death during follow-up occurred in 318 subjects. The mortality risk was significantly associated with the elderly with mild cognitive dysfunction [hazard ratio (HR) = 1.93] and with moderate cognitive dysfunction (HR = 2.66). 'Orientation-to-time' (HR = 1.39) and 'Attention' (HR = 1.48) domains of MMSE were independently associated with mortality. Conclusion: This study showed that cognitive dysfunction independently predicted mortality in the elderly. Cognitive dysfunction should be considered part of identifying the elderly at high risk for mortality. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Acta Psychiatrica Scandinavica is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1111/j.1600-0447.2012.01918.x
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        Text: English
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      – SubjectFull: Cognition disorders in old age
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              Text: Apr2013
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