Acute pesticide poisoning among children in south korea: Findings from national health insurance claims data, 2006-2009

Won Jin Lee, Yousun Ko, Eun Shil Cha

    Research output: Contribution to journalArticlepeer-review

    12 Citations (Scopus)

    Abstract

    Objectives: The aim of this study was to estimate the incidence of acute pesticide poisoning among children in South Korea and describe the related epidemiologic characteristics.Methods: We evaluated the age-standardized rates of incidence of pesticide poisoning among children in South Korea from 2006 through 2009 using National Health Insurance claims data.Results: A total of 1232 children aged 0-14 years were identified from the acute pesticide poisoning cases reported across South Korea during the study period. The annual average age-standardized rate of incidence from acute pesticide poisoning was 3.6 per 100 000. The majority of the cases were identified in the categories of the 1-4-year-old age-group (56.5%), outpatients (80.0%), single-day visit to a hospital (70.4%) and summer occurrence (43.3%).Conclusions: Acute pesticide poisoning is prevalent among children in South Korea; therefore, intervention efforts are needed to reduce the cases of pesticide poisoning among children.

    Original languageEnglish
    Article numberfmt067
    Pages (from-to)4-9
    Number of pages6
    JournalJournal of Tropical Pediatrics
    Volume60
    Issue number1
    DOIs
    Publication statusPublished - 2014 Feb

    Bibliographical note

    Funding Information:
    This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2010-0021742).

    Keywords

    • Agricultural chemicals
    • Children
    • Epidemiology
    • Incidence
    • Poisoning

    ASJC Scopus subject areas

    • General Medicine

    Fingerprint

    Dive into the research topics of 'Acute pesticide poisoning among children in south korea: Findings from national health insurance claims data, 2006-2009'. Together they form a unique fingerprint.

    Cite this