Volume 44 Issue 5
May  2023
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HUO Hong, JIA Xiping, LIU Tao. Multiple correspondence analysis of the influencing factors of injury among left-behind primary school students in Pingliang[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(5): 756-760. doi: 10.16835/j.cnki.1000-9817.2023.05.026
Citation: HUO Hong, JIA Xiping, LIU Tao. Multiple correspondence analysis of the influencing factors of injury among left-behind primary school students in Pingliang[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(5): 756-760. doi: 10.16835/j.cnki.1000-9817.2023.05.026

Multiple correspondence analysis of the influencing factors of injury among left-behind primary school students in Pingliang

doi: 10.16835/j.cnki.1000-9817.2023.05.026
  • Received Date: 2022-10-28
  • Rev Recd Date: 2023-03-17
  • Available Online: 2023-05-25
  • Publish Date: 2023-05-25
  •   Objective  To explore the distribution characteristics of the influencing factors of injury among left-behind primary school students, so as to provide a reference for identifying high-risk injury groups and carrying out accurate injury intervention.  Methods  From August 2021 to July 2022, a questionnaire survey was conducted among 3 769 students from grades 4 to 6 from nine primary schools in three townships in Pingliang City by using the a random cluster sampling method. Multiple correspondence analysis was used to analyze the influencing factors of injury.  Results  The detection rate of injuries among non-left-behind pupils was 21.8%(573/2 631), whereas the detection rate of injuries among left-behind pupils was 40.9%(466/1 138). In addition, a statistically significant difference was observed in the detection rate of injuries between left-behind pupils and non-left-behind pupils (χ2=146.21, P < 0.01). Among the injuries of left-behind pupils, 263 had fall-related injuries, accounting for the highest proportion (56.4%). Whether it was an only child, and different grades, gender, personality, psychological status, monitoring type, and maternal education level were statistically significant (χ2=39.05, 96.69, 143.00, 155.80, 461.39, 285.35, 17.10, P < 0.01). The multiple correspondence analysis category graph showed higher rates of fall injuries, blunt injuries and sharp injuries among boys, extroverted personality types, and left-behind pupils whose grandparents were their legal guardians. Animal bites, burns and other injury types were higher among left-behind pupils with an introverted personality, pupils in peer/other guardianship situations, and those with a sub-mental health status. Unharmed left-behind students mainly included those with intermediate personality and mental health characteristics.  Conclusion  The injury detection rate among left-behind primary school students is high. Gender, personality type, guardianship type, and mental health status are closely related to injury. Extroverted boys under grandparents guardians are identified as high-risk groups for injury prevention and control. Under the guidance of the precision prevention model, precision intervention strategies for all-round high-risk groups should be carried out in order to effectively reduce the occurrence of injuries among left-behind pupils.
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