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2 "Injury severity"
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English Abstract
The Incidence Rates and Risk Factor of Mild Injury for Two Weeks: Using Korea National Health and Nutrition Examination Survey 2001.
Jesuk Lee, Soonduck Kim, Dongki Lee, Jisung Lee
J Prev Med Public Health. 2008;41(4):279-286.
DOI: https://doi.org/10.3961/jpmph.2008.41.4.279
  • 6,622 View
  • 36 Download
  • 2 Crossref
AbstractAbstract PDF
OBJECTIVES
This study was performed to provide the basic data for establishing countermeasures for preventing injury by analyzing the incidence rates, the risk factors, the characteristics of the injury and the utilization of medical care for mild injury that lasted for two weeks. METHODS: We examined the injury survey data among the National Health and Nutrition Survey data. The definition of mild injury that lasted for two weeks was that the injury that caused pain at least once a day for two weeks or the injury for which the usual daily activity of the injured person was severely affected. We used statistical analysis methods such as chi-square test and multiple logistic regression analysis. RESULTS: The incidence rate of injury that lasted for two weeks was 4.7 per 1,000 persons. On the multiple logistic regression, the children and adolescents (OR=3.80, 95%CI=1.63-8.84) had higher rates of injuries than the adults, and the middle and high school (OR=0.51, 95%CI=0.31-0.85) and college(OR=0.34, 95%CI=0.17-0.68) students had lower rates of injuries than the elementary school students. The unemployed (OR=0.39, 95%CI=0.20-0.73) and others (OR=0.38, 95%CI=0.21-0.70) had lower rates of injuries than the blue collar workers. The major causes of injuries were found to be falling and slipping, and the most prevalent place of occurrence was near or at home. CONCLUSIONS: A prevention program needs to be developed and continuous education must be offered to the children, adolescents and blue collar workers.
Summary

Citations

Citations to this article as recorded by  
  • The Relationship between Injury and Socioeconomic Status in Reference to the Fourth Korean National Health and Nutrition Examination Survey
    Sung-Kyung Kim, Hyocher Kim, Kyungsuk Lee, Hee-Tae Kang, Sung-Soo Oh, Sang Baek Ko
    Annals of Occupational and Environmental Medicine.2014;[Epub]     CrossRef
  • Patterns of Unintentional Domestic Injuries in Korea
    Eun-Jung Lee, Jin-Seok Lee, Yoon Kim, Kunhee Park, Sang Jun Eun, Soo Kyung Suh, Yong-Ik Kim
    Journal of Preventive Medicine and Public Health.2010; 43(1): 84.     CrossRef
Original Article
Validation of the International Classification of Diseases 10th Edition Based Injury Severity Score(ICISS).
Yoon Kim, Ku Young Jung, Chang Yup Kim, Yong Ik Kim, Youngsoo Shin
Korean J Prev Med. 1999;32(4):538-545.
  • 3,248 View
  • 56 Download
AbstractAbstract PDF
OBJECTIVE
To compare the predictive power of International Classification of Diseases 10th Edition(ICD-10) based International Classification of Diseases based Injury Severity Score(ICISS) with Trauma and Injury Severity Score(TRISS) and International Classification of Diseases 9th Edition Clinical Modification(ICD-9CM) based ICISS in the injury severity measure. METHODS: ICD-10 version of Survival Risk Ratios(SRRs) was derived from 47,750 trauma patients from 35 Emergency Centers for 1 year. The predictive power of TRISS, the ICD-9CM based ICISS and ICD-10 based ICISS were compared in a group of 367 severely injured patients admitted to two university hospitals. The predictive power was compared by using the measures of discrimination(disparity, sensitivity, specificity, misclassification rates, and ROC curve analysis) and calibration(Hosmer-Lemeshow goodness-of-fit statistics), all calculated by logistic regression procedure. RESULTS: ICD-10 based ICISS showed a lower performance than TRISS and ICD-9CM based ICISS. When age and Revised Trauma Score(RTS) were incorporated into the survival probability model, however, ICD-10 based ICISS full model showed a similar predictive power compared with TRISS and ICD-9CM based ICISS full model. ICD-10 based ICISS had some disadvantages in predicting outcomes among patients with intracranial injuries. However, such weakness was largely compensated by incorporating age and RTS in the model. CONCLUSIONS: The ICISS methodology can be extended to ICD-10 horizon as a standard injury severity measure in the place of TRISS, especially when age and RTS were incorporated in the model. In patients with intracranial injuries, the predictive power of ICD-10 based ICISS was relatively low because of differences in the classifying system between ICD-10 and ICD-9CM.
Summary

JPMPH : Journal of Preventive Medicine and Public Health
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