Epidemiological characteristics of injury caused by fall in the elderly aged ≥60 years in Guang- zhou in 2014-2018
10.16462/j.cnki.zhjbkz.2020.03.005
- Author:
Wei-quan LIU
1
;
Hui LIN
;
Yao-hui LI
;
Ting-yuan YANG
;
Min-ying SUN
;
Fa-ju QIN
;
Lan LIU
;
Ji-chuan SHEN
;
Hua-zhang LIU
Author Information
1. Department of Basic Public Health，Center for Disease Control and Prevention of Guangzhou，Guangzhou 510440，China
- Publication Type:Journal Article
- Keywords:
Fall;
Elderly;
Epidemiology;
Surveillance;
Influencing factor
- From:
Chinese Journal of Disease Control & Prevention
2020;24(3):269-273
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the epidemiological characteristics and influencing factors of fall of elderly aged ≥ 60 years in Guangzhou from 2014 to 2018 ，so as to provide evidence for effective prevention and control measures． Methods Data on fall of the elderly was collected from the first diagno- sis in injury surveillance hospitals in Guangzhou from 2014 to 2018，and distribution description and epi- demiological analysis were adopted． Ｒesults 9 503 cases of fall of the elderly were reported in 5 injury surveillance hospitals，accounting for 49．41% of injuries in the elderly，and had occupied the first place in the cause of injury in 5 consecutive years． The sex ratio of men to women was 1 ∶ 1．67． Most of the patients had a primary or junior school degree，high rate in October-December，mainly occurred at home when doing leisure activities or life activities． The fall mainly led to injuries of head or lower extremities， contributed to contusion /bruise or fracture． And most of them were mild and moderate injury． Logistic re- gression showed that female，old age，high educational level，December to February，at home，walking， leisure activities and life activities were risk factors for falling among the elderly in Guangzhou ( all P ＜ 0．001) ． Conclusions Fall is the primary cause of injuries to the elderly in Guangzhou，especially the elderly female population． The targeted prevention and intervention measures should be developed ac- cording to their distribution characteristics．
