[The epidemiological characteristics and influencing factors of animal injuries among children from 28 counties in 6 provinces, China]. 2021

Z M Lu, and X Deng, and Y Wang, and Y L Er, and P P Ye, and Y Jin, and C R Ji, and L L Duan
Division of Injury Prevention and Mental Health,National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.

Objective: To understand the epidemiological characteristic and influencing factors of animal injuries among children from 28 counties/districts in 6 provinces of China to provide evidence for formulating related prevention measures and strategies. Methods: Data was obtained from 'Children injury prevention project, 2016-2020'. Variables on the characteristics, including incidence, locations, related activities, time, and outcomes among children, were described. The negative binomial regression model analyzed animal injury frequency influencing factors. Results: There were 107 029 boys and 97 599 girls, with a gender ratio of 1.10, among the 204 628 children aged 0-17 in 28 counties/districts in 6 provinces of China. Per-person and per-time incidence rates of animal injuries were 0.70% and 0.72%, both higher in boys than in girls. Animal injuries among children mainly occurred in home (73.20%), road/street (7.51%), and open space of community/village (6.77%), during playing (63.15%), with the peak time between 12:01-18:00 (45.03%). Upper limbs (47.89%), lower limbs (35.31%), and head (8.44%) were the most injured body parts. Outpatient or emergency treatment (85.19%) had been carried out. The negative binomial regression showed that sex, grade, guardian educational level, urban or rural, and daily communication between guardians and children as influencing factors in the frequency of animal injuries among children. Conclusions: Special attention should be given to boys, at home, in projects on animal injury prevention and control. There were many influencing factors of animal injury frequency. Knowledge of injury prevention should be popularized to children and guardians. Related comprehensive intervention should be developed in families, schools, and social settings.

UI MeSH Term Description Entries
D008297 Male Males
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D002681 China A country spanning from central Asia to the Pacific Ocean. Inner Mongolia,Manchuria,People's Republic of China,Sinkiang,Mainland China
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000818 Animals Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA. Animal,Metazoa,Animalia
D012424 Rural Population The inhabitants of rural areas or of small towns classified as rural. Rural Residence,Rural Communities,Rural Spatial Distribution,Communities, Rural,Community, Rural,Distribution, Rural Spatial,Distributions, Rural Spatial,Population, Rural,Populations, Rural,Residence, Rural,Rural Community,Rural Populations,Rural Residences,Rural Spatial Distributions
D012574 Schools Educational institutions. Primary Schools,Schools, Secondary,Secondary Schools,Primary School,School,School, Primary,School, Secondary,Schools, Primary,Secondary School
D015233 Models, Statistical Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc. Probabilistic Models,Statistical Models,Two-Parameter Models,Model, Statistical,Models, Binomial,Models, Polynomial,Statistical Model,Binomial Model,Binomial Models,Model, Binomial,Model, Polynomial,Model, Probabilistic,Model, Two-Parameter,Models, Probabilistic,Models, Two-Parameter,Polynomial Model,Polynomial Models,Probabilistic Model,Two Parameter Models,Two-Parameter Model
D015994 Incidence The number of new cases of a given disease during a given period in a specified population. It also is used for the rate at which new events occur in a defined population. It is differentiated from PREVALENCE, which refers to all cases in the population at a given time. Attack Rate,Cumulative Incidence,Incidence Proportion,Incidence Rate,Person-time Rate,Secondary Attack Rate,Attack Rate, Secondary,Attack Rates,Cumulative Incidences,Incidence Proportions,Incidence Rates,Incidence, Cumulative,Incidences,Person time Rate,Person-time Rates,Proportion, Incidence,Rate, Attack,Rate, Incidence,Rate, Person-time,Rate, Secondary Attack,Secondary Attack Rates

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