Literature DB >> 31769435

Pesticide poisonings in 2004-2014 in Łódź, Poland - an analysis of selected clinical and sociodemographic parameters.

Anna Krakowiak1, Radosław Zajdel2, Katarzyna Kobza-Sindlewska3, Michał Krakowiak4, Anna Piekarska-Wijatkowska3.   

Abstract

BACKGROUND: Acute pesticide poisonings constitute an important toxicological problem in numerous countries. This report refers to patients treated for poisonings at the Toxicology Unit, Łódź, Poland, in the period 2004-2014.
MATERIAL AND METHODS: Data to be analyzed were obtained from medical records of hospitalized people. A group of 24 301 patients aged ≥ 15 were selected. In the group of 149 people poisoned with pesticides (0.61% of all poisoning cases), there were 40 women and 109 men. Logistic regression analysis was used to evaluate the impact of age on suicide attempts using pesticides.
RESULTS: Suicide attempts significantly more frequently concerned younger people. In this type of behavior, coumarin derivatives were significantly more often used than organophosphorus compounds or pesticides classified as "others." The patients with suicidal pesticide poisonings stayed in the ward significantly longer than those poisoned unintentionally.
CONCLUSIONS: In the analyzed population inhabiting an area with a high degree of urbanization, in terms of the place of residence and employment, pesticide poisonings were more common in men than in women. Suicide attempts using pesticides more frequently concerned younger people. Information found in this study may prove useful for education purposes, and also in informing clinicians. Med Pr. 2019;70(6):655-67. This work is available in Open Access model and licensed under a CC BY-NC 3.0 PL license.

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Keywords:  acute poisonings; epidemiology; intoxication; logistic regression; pesticides; suicide attempt

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Year:  2019        PMID: 31769435     DOI: 10.13075/mp.5893.00905

Source DB:  PubMed          Journal:  Med Pr        ISSN: 0465-5893            Impact factor:   0.760


  1 in total

1.  Application of three prediction models in pesticide poisoning.

Authors:  Peng Sun; Ludi Zhang; Lei Han; Hengdong Zhang; Han Shen; Baoli Zhu; Boshen Wang
Journal:  Environ Sci Pollut Res Int       Date:  2022-01-09       Impact factor: 5.190

  1 in total

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