The evaluation of disability and its related factors among the elderly population in Kashan, Iran

BMC Public Health. 2007 Sep 22;7:261. doi: 10.1186/1471-2458-7-261.


Background: Recent literature indicates that developing countries in Asia are aging faster than other countries in the world and disability has become one of the greater public health concern in these countries. Pausity of published data on the elderly disability in Iran signifies the importance of this study designed to evaluate the disability and its related factors among the elderly population in Kashan, Iran during 2006-2007.

Methods/design: A cross-sectional study is conducting on a multi-stage random sample of elderly people in Kashan ages 65 years and older. Volunteer participants were included by age 65 and older and excluded if they had the medical diagnosis of Alzheimer disease. The WHO DAS II was used as the generic disability measure in this survey. The original version of WHO DAS II was translated into Farsi according to the standardized guidelines for cross-cultural adaptation of health-related measures. Upon completion of data collection the descriptive statistics will compute all the variables. Chi-square, t-test analysis and ANOVA will be used to examine significant differences between the subgroups.

Discussion: This is the first research protocol to study disability among the Iranian elderly population. Presently, 80% of eligible subjects have been selected. The results of this study will help to develop more effective protocols to assist Iranian elderly population with disabilities.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Chronic Disease / epidemiology*
  • Cluster Analysis
  • Comorbidity
  • Cross-Sectional Studies
  • Disability Evaluation*
  • Female
  • Frail Elderly / psychology
  • Frail Elderly / statistics & numerical data*
  • Geriatric Assessment*
  • Humans
  • Iran / epidemiology
  • Male
  • Mental Disorders / epidemiology*
  • Middle Aged
  • Morbidity
  • Patient Acceptance of Health Care / statistics & numerical data
  • Risk Factors
  • Sex Distribution
  • Socioeconomic Factors