Incident dementia in a defined older Chinese population

PLoS One. 2011;6(9):e24817. doi: 10.1371/journal.pone.0024817. Epub 2011 Sep 23.

Abstract

Background: Current knowledge about incident dementia is mainly derived from studies undertaken in the West, showing that dementia is related to older age, low socio-economic status, lack of social network, depression and cardiovascular disease risk factors. We know little about incidence and predictors of dementia in China, where the prevalence is increasing and the patterns of risk factors are different.

Methods: Using a standard interview method, we examined 1526 non-demented people aged ≥65 years who had at least minimal educational level in China in a 7.5-year follow up. Incident dementia was diagnosed by GMS-AGECAT algorithms and psychiatrists.

Results: Age-standardised incidence of dementia was 14.7 per 1000 person-years (95%CI 11.3-18.2 per 1000 person-years). The increased risk was significantly associated with age, female gender (adjusted odds ratio 2.48, 95%CI 1.20-5.13), low educational levels, smoking, angina (2.58, 1.01-6.59) and living with fewer family members. Among participants with low educational level, the increased risk was associated with higher income, and with the highest and lowest occupational classes; adjusted odds ratio 2.74 (95%CI 1.12-6.70) for officers/teachers, 3.11 (1.61-6.01) for manual labourers/peasants.

Conclusions: Our findings of high incidence of dementia and increased risk among people having low education levels but high income suggest a more potential epidemic and burden of dementia populations in China. Maintaining social network and activities and reducing cardiovascular factors in late life could be integrated into current multi-faceted preventive strategies for curbing the epidemic of dementia.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • China / epidemiology
  • Dementia / diagnosis*
  • Dementia / epidemiology*
  • Educational Status
  • Female
  • Follow-Up Studies
  • Health Surveys / methods
  • Health Surveys / statistics & numerical data*
  • Humans
  • Incidence
  • Male
  • Multivariate Analysis
  • Prevalence
  • Risk Factors
  • Sex Factors
  • Socioeconomic Factors