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Risk factors for Enterobius vermicularis infection in children in Gaozhou, Guangdong, China

Overview of attention for article published in Infectious Diseases of Poverty, June 2015
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Title
Risk factors for Enterobius vermicularis infection in children in Gaozhou, Guangdong, China
Published in
Infectious Diseases of Poverty, June 2015
DOI 10.1186/s40249-015-0058-9
Pubmed ID
Authors

Hong-Mei Li, Chang-Hai Zhou, Zhi-Shi Li, Zhuo-Hui Deng, Cai-Wen Ruan, Qi-Ming Zhang, Ting-Jun Zhu, Long-Qi Xu, Ying-Dan Chen

Abstract

Enterobius vermicularis infection is a prevalent intestinal parasitic disease in children. In this study, we explored the epidemiological status and risk factors for E. vermicularis infection in children in southern China. A cross-sectional survey was carried out in Gaozhou city, Guangdong province, China, in December 2011. Children aged 2-12 years from five schools participated in the study. The adhesive cellophane-tape perianal swab method was applied to detect E. vermicularis infection, while a questionnaire was sent to each child's guardian(s) to collect demographic and socioeconomic data, as well as hygiene behaviors, pertaining to each child. Univariate and multivariate logistic regression analyses were performed to capture the potential risk factors. Out of the 802 children surveyed, 440 were infected with E. vermicularis, with an average prevalence of 54.86 %, and a range from 45.96 to 68.13 %. The age variable was found to be statistically significant, whereas the sex variable was not. It was found that a mother's education level (low) and not washing hands before dinner were major risk factors in all children (802). After stratification by age, a father's education level (primary or below) and biting pencils (or toys) were significant risk factors in the younger children (508), while not washing hands before dinner and playing on the ground were important risk factors in the older children (294). This study demonstrates the prevalence of E. vermicularis infection in children in Gaozhou and reveals underlying risk factors. Most importantly, it reveals that risk factors differ among the different age groups, which indicates that different control measures targeted at particular age groups should be implemented.

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Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 14%
Student > Bachelor 11 14%
Researcher 5 7%
Student > Ph. D. Student 4 5%
Lecturer 2 3%
Other 8 11%
Unknown 35 46%
Readers by discipline Count As %
Medicine and Dentistry 13 17%
Nursing and Health Professions 6 8%
Immunology and Microbiology 6 8%
Agricultural and Biological Sciences 3 4%
Unspecified 2 3%
Other 8 11%
Unknown 38 50%