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Structural Equation Modeling (SEM) of Cysticercosis in School-Aged Children in Tibetan Rural Farming Areas of Western China

Implications for Intervention Planning

Datos Bibliográficos

ID15480596
AutoresHuan Zhou (0000-0002-6709-5134, Sichuan University), Qingzhi Wang (0000-0001-8622-3966, Sichuan University), Junmin Zhou (0000-0001-9620-526X, Sichuan University, autor de correspondencia), Tiaoying Li (Sichuan Center for Disease Control and Prevention), Alexis Medina (0000-0003-3149-2514, Stanford University), Stephen A Felt (0000-0001-7030-717X, Stanford University), Scott Rozelle (0000-0001-5053-0243, Stanford University), John Openshaw (0000-0002-3674-7187, Stanford University)
Año2019
Volumen16
Número5
Páginas780-780
Fecha de publicación2019-03-04
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores de la revistaISSN: 1661-7827 • E-ISSN: 1660-4601
EditorialMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph16050780
PMID30836642
OpenAlexW2920275985
IdiomaEN
Citas recibidas1
Referencias citadas28

Neurocysticercosis (NCC) significantly contributes to morbidity in developing countries. We recently published a study of prevalence and risk factors in school-aged children in three mountainous areas in Sichuan province of western China. Using structural equation modeling (SEM) on data from that study to guide intervention planning, here we examine risk factors grouped into three broad interventional categories: sociodemographics, human behavior, and sources of pork and pig husbandry. Because neuroimaging is not easily available, using SEM allows for the use of multiple observed variables (serological tests and symptoms) to represent probable NCC cases. Data collected from 2608 students was included in this analysis. Within this group, seroprevalence of cysticercosis IgG antibodies was 5.4%. SEM results showed that sociodemographic factors ( β = 0.33, p β = 0.26, p β = 0.33, p β = 0.07, p β = 0.07, p β = 0.07, p β = 0.10, p < 0.01) affected probable NCC indirectly via behavioral variables. Because behavioral variables not only had a large direct effect but also served as a critical bridge to strengthen the effect of sociodemographics and sources of pork and pig husbandry on probable NCC, our findings suggest that interventions targeting behavioral factors may be the most effective in reducing disease

Agriculture · Animal husbandry · Animal science · Antibody · Biology · Breed · Cysticercosis · Environmental health · Helminths · Neurocysticercosis · Psychological intervention · Serology · Seroprevalence · Structural equation modeling · Taeniasis · Veterinary medicine · Demography · Mathematics · Medicine · Parasite Biology and Host Interactions · Parasites and Host Interactions · Parasitic infections in humans and animals · Ecology · Immunology · Pediatrics

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Obras citantes distintas1
Citas por año1
Intervalo de citas2025 - 2025 (1)
Velocidad de citaciónrecent
Altamente citadoNo
Tipos de citaNeutras: 1
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