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노인의 성별 낙상관련 요인

An analysis of risk factors for falls in the elderly by gender

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Objectives: The objective of this study is to identify the gender differences of risk factors for falls among the elderly in community dwellings. Methods: We analyzed the data on 3,278(male 1,255, female 2,023) persons, including 497 persons who have experienced falls, drawn from the 2004 National Elderly Survey. We conducted a cross-tabulation analysis, ဂ2-test and hierarchical regression analysis of the impact of the socio-economical characteristics, environmental characteristics, the number of chronic diseases, usage of supplementary devices, activities of daily living, dementia, and the severity of problem behavior. Results: For the entire sample of the elderly, gender, age, the size of the cities of residence, the number of chronic diseases, and the severity of problem behavior were identified as risk factors for falls. The number of chronic diseases and the severity of problem behavior were found to be significant for the male subsample, while age, the size of cities of residence, dwelling types, and the number of chronic diseases were found to be significant for the female subsample. Conclusion: The number of chronic diseases was identified as a common risk factor for falls in the male and female elderly. Chronic diseases were also found to aggravate the risk for falls when they concur with other diseases.

Abstract

Objectives: The objective of this study is to identify the gender differences of risk factors for falls among the elderly in community dwellings. Methods: We analyzed the data on 3,278(male 1,255, female 2,023) persons, including 497 persons who have experienced falls, drawn from the 2004 National Elderly Survey. We conducted a cross-tabulation analysis, ဂ2-test and hierarchical regression analysis of the impact of the socio-economical characteristics, environmental characteristics, the number of chronic diseases, usage of supplementary devices, activities of daily living, dementia, and the severity of problem behavior. Results: For the entire sample of the elderly, gender, age, the size of the cities of residence, the number of chronic diseases, and the severity of problem behavior were identified as risk factors for falls. The number of chronic diseases and the severity of problem behavior were found to be significant for the male subsample, while age, the size of cities of residence, dwelling types, and the number of chronic diseases were found to be significant for the female subsample. Conclusion: The number of chronic diseases was identified as a common risk factor for falls in the male and female elderly. Chronic diseases were also found to aggravate the risk for falls when they concur with other diseases.

참고문헌 (59)

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