Fall Prevalence and Factors Affecting Falls in Elderly.

Falling in the elderly is a common problem that can have devastating consequences for individuals and affect social support networks. Falls are considered to be the most common cause of injury in the elderly population. In developed countries, it is reported that one out of every three elderly people in the society has fallen during the year and that number has increased gradually after the age of 65. As a result of the falls, significant burdens on health services are imposed. In this context, determining the risk factors that cause falls is as important as public health as well as preventive physiotherapy services.There are many risk factors that cause falls in the elderly. These factors may be caused by the elderly itself (intrinsic) or the environment (extrinsic). Most of falls are caused by interactions between multiple risk factors. However, in individuals aged 75 years and over, even 10% of those without risk factors have been reported to fall at any time during the year.However, all these factors may vary from country to country depending on the cultural differences and living conditions of the elderly. Therefore, it is important to investigate the risk factors that cause falls in each population to prevent falls. The aim of this study are two folds: 1. to determine the prevalence of falls in the last year among the elderly living in Degirmenlik region of Nicosia, Northern Cyprus, 2. To determine predictors of the risk of falls in the elderly. The population of the cross-sectional study consists of 1486 people aged 65 years and over living in 16 villages of Degirmenlik Municipality of Nicosia, Northern Cyprus. The following formulas were used to determine the sample size. n= z² x p(1-p) ̸ Є² n'= n ̸ 1+ (z² x p (1-p) ̸ Є² N (z = z score; ɛ = %95 margin of error in confidence interval; N= universe size ve p = prevalence) First sample size z = 1,96; with assumptions ɛ = 0,05 and p = 0.50 it was calculated as 384 people. The final sample size was calculated as 499 people, with a non-response rate of 30%. In this context, 499 elderly individuals selected by simple random sampling method will form the sample of the study.