Journal Article
Research Support, Non-U.S. Gov't
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Risk factors for falls in the Thai elderly in an urban community.

BACKGROUND: Instability or falls in the elderly are a health condition meeting all criteria for prevention i.e. high frequency, evidence of preventability and a high burden of morbidity. The consequences of a fall affect not only the elderly per se such as fractures and various kinds of physical and mental impairment, but also the family and the society as a whole in terms of the financial expenditure involved. The need for a comprehensive study to identify the risk factors for falls among the Thai elderly is, therefore, crucial for further management.

OBJECTIVE: To identify the significant risk factors for falls among the Thai elderly for further prevention and management.

METHOD: A cross-sectional study in the urban community around Siriraj Hospital, Bangkok. 1,043 community-dwelling people aged > or = 60 years were recruited. A structured questionnaire, including mental test and physical examinations as well as various laboratory tests, were used to identify the risk factors for falls between faller and control groups.

RESULTS: The overall prevalence of falls among elderly Thais in an urban area was 19.8 per cent during a period of 6 months. However, the prevalence was 24.1 per cent in women but only 12.1 per cent in men. Older people who were likely to fall also had a lower bone mass which predisposed them to future fractures. The independent risk factors for falls after multiple logistic regression analysis were: female gender, hypertension, deafness, poor memory, poor self-perceived health status, poor performance in the instrumental activities of daily living, kyphoscoliosis, use of spectacles, rapid pulse rate after a 5 minute rest, higher serum transferrin and poor nutrition in terms of low lean body mass and reduced serum albumin level.

CONCLUSIONS: Special sense, activity of daily living, nutritional status, kyphoscoliosis, hypertension and cognitive ability were six important factors determining the likelihood of fall among the elderly in an urban area.

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