Associated factors for cognitive impairment in the rural highly elderly

Brain Behav. 2019 May;9(5):e01203. doi: 10.1002/brb3.1203. Epub 2019 Apr 1.

Abstract

Background: Among the symptoms commonly faced by an increasingly aged population, dementia, preceded by cognitive impairment, most threatens their quality of life. Dementia is a well-recognized burden, not only for individuals who face the disease and for their families, but also for entire nation.

Aims: The purpose of this study was to identify associated factors for cognitive impairment in a very elderly population via a screening study design in Sokcho, a rural area in South Korea.

Methods: Trained nurses screened patients from 75-84 years of age for dementia using the Mini-Mental State Examination for Dementia Screening (MMSE-DS) and conducted interviews to determine their socioeconomic status, education level, and living conditions (i.e., with or without family).

Results: In total, 4,369 subjects (1,646 males, 2,723 females) were enrolled in this study. Reported MMSE-DS scores decreased with increasing age and to a greater degree in less educated subjects (p < 0.001). Subjects requiring medical assistance or living alone exhibited lower MMSE-DS scores compared to those who did not require medical assistance or who lived alone (p < 0.001).

Conclusion: We found that less education, lower socioeconomic status, and living alone were associated factors for cognitive impairment based on this study of an elderly population.

Keywords: cognitive impairment; dementia; rural health.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Cognitive Dysfunction* / diagnosis
  • Cognitive Dysfunction* / epidemiology
  • Cognitive Dysfunction* / psychology
  • Educational Status
  • Female
  • Humans
  • Male
  • Mental Status and Dementia Tests
  • Quality of Life*
  • Republic of Korea / epidemiology
  • Rural Population / statistics & numerical data*
  • Social Class
  • Social Conditions / statistics & numerical data