Social determinants of mild cognitive impairment among the elderly - A case study of Taiwan

Wen Jen Hsieh, Shin Ni Tsai, Yuh Tyng Chen, Jenq Daw Lee, Jun Jen Huang, Ignacio José Miñambres García

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

According to the World Health Organization (WHO) and Alzheimer Disease International (ADI), there are at least 35.6 million people suffering from dementia in the world. Mild cognitive impairment (MCI) is considered as a risk state or a prodromal of dementia. This paper aims to make further exploration into the risk factors of mild cognitive impairment, analyzing the longitudinal data of three waves of surveys in 1999, 2003 and 2007 from 'Taiwan Longitudinal Study on Aging' (TLSA). The hierarchical linear model (HLM) is applied to analyze samples from the TLSA of Taiwan's elderly 65 years old and over in 1999. Empirical results suggest that cognitive function worsening differs among individuals, but clearly increases with age. Depressive symptoms show statistically positively significance but educational attainment show the opposite direction, whereas gender, marital status, ethnic, health behavior, and family support are all not statistically significant.

Original languageEnglish
Title of host publicationIEEE International Conference on Orange Technologies, ICOT 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages149-152
Number of pages4
ISBN (Electronic)9781479962846
DOIs
Publication statusPublished - 2014 Nov 12
Externally publishedYes
Event2014 IEEE International Conference on Orange Technologies, ICOT 2014 - Xi'an, China
Duration: 2014 Sept 202014 Sept 23

Publication series

NameIEEE International Conference on Orange Technologies, ICOT 2014

Conference

Conference2014 IEEE International Conference on Orange Technologies, ICOT 2014
Country/TerritoryChina
CityXi'an
Period14/9/2014/9/23

Keywords

  • Hierarchical Linear Model
  • Mild cognitive impairment
  • Taiwan Longitudinal Study on Aging

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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