tailieunhanh - RSeeselafrc-ha asrtisclee ssed health among Thai elderly

Talen and Anselin [15] evaluate several different accessibility measures and state that the simplest 'container' approach (density of services per capita in a given area) can be misleading if the area is not well defined, ., there are significant flows of people from inside to outside or from outside the area to use services inside it. Another criticism is that it presumes that all people within the proscribed area are equally capable of accessing the services within it, which assumes away any spatial interaction that would either facilitate or impede access among specific population subgroups [16,17]. One way of addressing the problems inherent in the container approach is to develop market area. | Haseen et al. BMC Geriatrics 2010 10 30 http 1471-2318 10 30 BMC Geriatrics RESEARCH ARTICLE Open Access Self-assessed health among Thai elderly Fariha Haseen 21 1 2 Ramesh Adhikari22 3 and Kusol Soonthorndhada22 Abstract Background The ageing of the population is rapidly progressing in Thailand. Self-assessed health status can provide a holistic view of the health of the elderly. This study aims to identify the determinants of self-assessed health among older Thai people. Methods The data for this study were drawn from a national survey of older persons conducted in 2007. Stratified two-stage random sampling was used for data collection. The analysis was restricted to the population aged 60 and above. The study used univariate bivariate and multivariate analysis procedures to analyze the data. Bivariate analysis was used to identify the factors associated with self assessment of health status. After controlling for other variables the variables were further examined using multivariate analysis binary logistic regression in order to identify the significant predictors of the likelihood of reporting poor health. Results Overall 30 427 elderly people were interviewed in this study. More than half of the sampled respondents 53 were aged 60-69 years and about one out of seven 13 were aged 80 years or above. About three in five respondents 56 reported that their health was either fair or very bad bad. Logistic regression analysis found that age education marital status working status income functional status number of chronic diseases and number of psychosocial symptoms are significant predictors in determining health status. Respondents who faced more difficulty in daily life were more likely to rate their health as poor compared to those who faced less such difficulty. For instance respondents who could not perform 3 or more activities of daily living ADLs were times more likely to assess their health as poor compared to those who could .