1.Analysis on data from Chinese National Injury Surveillance System, 2008-2013 on the characteristics of falls.
Yuliang ER ; Leilei DUAN ; Yuan WANG ; Cuirong JI ; Xin GAO ; Xiao DENG ; Pengpeng YE ; Ye JIN ; Linhong WANG
Chinese Journal of Epidemiology 2015;36(1):12-16
OBJECTIVETo analyze the trend and distribution of Falls, using the data from National Injury Surveillance System (NISS), 2008-2013, to provide basic information for Fall prevention.
METHODSData of Falls was descriptively analyzed from the Chinese NISS from 2008 to 2013.
RESULTSIn total, 1 223 905 cases of Falls were analyzed, that accounted for 32.94% of all the injury cases, with the gender ratio as 1.57. Both the number and the proportion of the cases showed an increasing trend. Labor population (15-64 years-old) accounted for 66.63% of the total 271 502 cases of Falls in 2013. Cases aged 0-4, 5-14 and over 65 accounted for 55.53%, 52.93% and 56.59% among all the types of injuries in each of their age group. Gender ratio appeared to be 1.54 but more females cases were seen with the increase of age. The peak hours that injuries took place were 10:00-10:59 AM (10.04% of total) and 14:00-20:59 PM (43.56% of total). The top three places that injuries took place were home (33.03%), public residents (22.79%) and on the roads (15.49%). Recreation activates (65.38%), paid jobs (13.01%) and housework (7.52%) were the three major ways causing the Falls to take place. The most common parts of body that injuries involved were head (30.41%), low limbs (27.43%) and upper limbs (21.93%), with bruise (54.60%), sprain/strain (16.87%), fractures (15.48%) most commonly seen. 77.76% of the cases were minor but the proportion of moderate and serious injuries increased along with the increase of age.
CONCLUSIONFall was the main type of injury in this country, showing an increasing trend of proportion among all the types of injuries. Though labor-related Falls accounted for the biggest proportion, prevention programs targeting the elderly and children should also be prioritized.
Accidental Falls ; prevention & control ; statistics & numerical data ; Adolescent ; Adult ; Aged ; Child ; Child, Preschool ; Female ; Humans ; Infant ; Infant, Newborn ; Male ; Middle Aged ; Wounds and Injuries ; epidemiology
2.Study on head injuries through data from the National Injury Surveillance System of China, 2013.
Cuirong JI ; Leilei DUAN ; Email: LEILEIDUAN@VIP.SINA.COM. ; Linhong WANG ; Chunmei WU ; Yuan WANG ; Yuliang ER ; Xiao DENG ; Xin GAO ; Pengpeng YE ; Ye JIN
Chinese Journal of Epidemiology 2015;36(4):360-363
OBJECTIVETo understand the epidemiological characteristics of head injuries through data from the Chinese National Injury Surveillance System (NISS).
METHODSDescriptive analysis was applied to display the overall trend of head injuries in 2013 in NISS and to depict general information, events and clinical characteristics of head injuries with SPSS 19.0 software.
RESULTSIn 2013, 195 189 cases of head injuries were collected, males were twice higher than females, with 25.19% of them under 30-44 years of age. The three leading causes responsible for head injuries were falls (42.17%), blunt force injuries (27.46%) and road traffic injury (23.33%). Main locations causing head injuries were in road/street (31.41%), at home (25.02%) and public places (17.17%). Recreation activates (54.22%), driving (19.73%), paid work (12.95%) were the three major activities when injuries took place. Majority of the cases belonged to unintentional (86.79%) with bruise injuries (65.18%). Those mild injuries (78.87%) were treated and discharged (82.02%).
CONCLUSIONIn 2013, head injuries were seen more in males than in females, mostly involved in labor force population on head injuries. The leading causes for head injuries were falls, blunt injuries and road traffic.
Accidental Falls ; statistics & numerical data ; Accidents, Traffic ; statistics & numerical data ; Adult ; Automobile Driving ; China ; epidemiology ; Craniocerebral Trauma ; epidemiology ; Employment ; Environment ; Female ; Humans ; Male ; Population Surveillance ; Software ; Wounds, Nonpenetrating ; epidemiology
3.Analysis on sports and recreation related injuries through data from the Chinese National Injury Surveillance System, 2009-2013.
Xiao DENG ; Ye JIN ; Pengpeng YE ; Xin GAO ; Yuan WANG ; Cuirong JI ; Yuliang ER ; Linhong WANG ; Leilei DUAN ; Email: LEILEIDUAN@VIP.SINA.COM.
Chinese Journal of Epidemiology 2015;36(4):354-359
OBJECTIVETo understand the trend and characteristics of sports and recreation related injuries reported from National Injury Surveillance System (NISS) to provide basis for corresponding prevention strategies and decision-making.
METHODSDescriptive analysis was applied to display the overall trend, general information, injury event and clinical characteristics of sports and recreation related injuries from 2009 to 2013.
RESULTSThe proportion of sports and recreation related injuries among all injuries increased from 2009 to 2013, with an annual increase exceeding 45% (46.21%, 47.32%, 48.14%, 52.00%, 53.65%, respectively). Sports and recreation related injuries mainly involved males, with 15-29 age groups, particularly in summer and autumn. Sports and recreation related injuries mostly occurred at home, with annual rates of proportion as 33.07%, 34.16%, 32.98%, 34.57 and 36.22%, mostly caused by falls (41.19%, 41.64%, 44.70%, 47.41%, 47.96%). Contusion and abrasion were the leading types of injuries (43.49%, 44.56%, 45.14%, 45.02%, 45.62%) with the serious leading types as fracture, concussion/cerebral contusion or laceration, and sharp force injury/bite/open wounds. Head was the part mainly involved (31.30%, 32.48%, 31.89%, 30.88%, 29.44%) in injuries. Most sports and recreation related injuries were minor and most of the patients headed home after treatment.
CONCLUSIONSports and recreation related injury appeared a growing public health problem in China. Children and the elderly should be the target groups for intervention. Falls prevention in sports and the use of protection gears should be the focus countermeasures for prevention.
Adolescent ; Adult ; Athletic Injuries ; epidemiology ; Brain Injuries ; epidemiology ; China ; epidemiology ; Female ; Humans ; Male ; Population Surveillance ; Recreation ; Wounds and Injuries ; epidemiology ; Young Adult
4.Analysis on the characteristics of violence based on data from the Chinese National Injury Surveillance System from 2006 to 2013.
Xin GAO ; Pengpeng YE ; Yuliang ER ; Linhong WANG ; Xiao DENG ; Yuan WANG ; Ye JIN ; Cuirong JI ; Chao YANG ; Leilei DUAN
Chinese Journal of Epidemiology 2015;36(1):3-6
OBJECTIVETo understand the characteristics of victims under violence that were enrolled from clinic and emergency room of the hospitals, to provide basis for the development of violence prevention strategies.
METHODSData from the National Injury Surveillance Program between 2006 and 2013 were used to analyze: 1) trend of violence proportion in injuries, 2) socio-demographic characteristics of the cases, 3)basic and clinic information on related violence.
RESULTSThe proportion of victims of violence decreased during the past 8 years. The number of violence related cases in 2013 was 50 333, including 36 049 males and 14 284 females. Most cases had educational levels as junior (41.2%) or senior high schools (27.3%). 24.0% of the violence occurred between 22:00 PM and 02:59 AM. The proportions of domestic violence were 30.2% in the 0-4 age group and 28.5% in the 65- age group, both were higher than in the other age groups.
CONCLUSIONInterventions on violence including children abuse and elderly abuse should be paid attention to.
Adolescent ; Adult ; Aged ; Child ; China ; epidemiology ; Emergency Service, Hospital ; statistics & numerical data ; Female ; Humans ; Male ; Middle Aged ; Population Surveillance ; Substance-Related Disorders ; Violence ; statistics & numerical data
5.Distribution trends and characteristics analysis of non-motor road traffic injury cases monitored in China, 2006-2013.
Chao YANG ; Leilei DUAN ; Email: LEILEIDUAN@VIP.SINA.COM. ; Yuan WANG ; Pengpeng YE ; Xiao DENG ; Ye JIN ; Yuliang ER ; Xin GAO ; Cuirong JI ; Linhong WANG
Chinese Journal of Epidemiology 2015;36(3):259-264
OBJECTIVETo describe the distribution characteristics of outpatient/emergency cases of non-motor road traffic injuries in China from 2006-2013.
METHODSCases of non-motor road traffic injuries were descriptively analyzed based on their data at the sentinel hospitals of the Chinese National Injury Surveillance System (NISS) from 2006 to 2013.
RESULTSThe proportion of non-motor road traffic injuries among the total road traffic injuries of the year from 2006 to 2011 was relatively stable, and the proportion in 2013 was higher than 2012 (χ² = 508.138, P < 0.001). In the non-motor road traffic injuries cases in 2013, male cases were higher than females (χ² = 41.018, P < 0.001), mostly found in 15 to 64 years old age groups. In urban areas, the proportion of non-motor road traffic injuries cases (52.11%) was higher than rural areas (47.89%) (χ² = 88.427, P < 0.001). Most injuries were found in lower limbs (29.08%) and head (24.82%). Injuries were mainly bruises (73.54%) and fractures (10.72%). The severities of injuries were mainly mitigated injury (80.49%), and most injuries ended with home return following treatment (82.34%).
CONCLUSIONThe proportion of non-motor road traffic injuries among total road traffic injuries of the year as found from NISS remained stable from 2006 to 2011, with a slight rise in 2012-2013. Most of the non-motor road traffic injuries were suffered by young and middle aged men. Interventions should be made based on gender and age differences of non-motor road traffic injuries cases.
Accidents, Traffic ; Adolescent ; Adult ; China ; epidemiology ; Female ; Humans ; Male ; Middle Aged ; Wounds and Injuries ; epidemiology ; Young Adult