Evidence map›Paper›PMID 41793671›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2026

The Predictors of Liver Fluke Infection-Preventive Behaviors, Khon Kaen Province: A Structural Equation Model.

Wanchaloem Rattaporn, Jutatip Sillabutra, Prasong Kitidamrongsuk, Supot Kamsa-Ard, Pratana Satitvipawee

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Article in Asian Pacific journal of cancer prevention : APJCP, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Wanchaloem RattapornGraduate Student in Master of Science in Biostatistics, Faculty of Public Health, Mahidol University, Bangkok, Thailand.
Jutatip SillabutraDepartment of Biostatistics, Faculty of Public Health, Mahidol University, Bangkok, Thailand.ORCID 0000-0002-9884-4193
Prasong KitidamrongsukDepartment of Biostatistics, Faculty of Public Health, Mahidol University, Bangkok, Thailand.
Supot Kamsa-ArdDepartment of Epidemiology and Biostatistics, Faculty of Public Health, Khon Kaen University, Khon Kaen, Thailand.ORCID 0000-0002-1554-7696
Pratana SatitvipaweeDepartment of Biostatistics, Faculty of Public Health, Mahidol University, Bangkok, Thailand.ORCID 0000-0002-7614-1171

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLiver fluke infection is a public health problem and the main cause of cholangiocarcinoma in northeastern Thailand, especially in Khon Kaen Province. This study aimed to determine the prevalence and predictors of liver fluke infection-preventive behaviors, using the Health Belief Model (HBM) and Structural Equation Modeling (SEM) among adults living in Khon Kaen Province.

methodsThis analytical cross-sectional study utilized secondary data. A stratified cluster multi-stage sampling technique, proportional to size, was used to select a provincially representative sample of the Khon Kaen adult population. The participants responded via interview. HBM scale, demographic and environmental factors, knowledge, health behaviors, and information on preventive behaviors (avoidance of consuming various types of uncooked freshwater fish and five personal hygiene practices) were measured. The hypothesized causal path models were examined using SEM analysis.

resultsAmong the 980 adult participants, the prevalence of non-consumption of raw freshwater fish and the practice of good hygiene during the past month was 2.9% (95% CI: 2.0, 4.1). The final structural model demonstrated a good fit. The predictors explained 25.7% of the variance in preventive behaviors. The model indicated that the total effect of perceived susceptibility had the strongest correlation with liver fluke infection-preventive behaviors (β = 0.34, p < 0.001), followed by perceived severity (β = 0.31, p < 0.001), having a family member who did not consume raw fish (β = 0.27, p < 0.001), education (β = 0.14, p < 0.001), self-efficacy (β = 0.13, p < 0.001), perceived benefit (β = 0.13, p < 0.001), knowledge (β = 0.10, p < 0.001), non-smoking (β = 0.09, p < 0.05), age (β = -0.08, p < 0.05), cue to action (β = 0.06, p < 0.05), and perceived barriers (β = -0.05, p < 0.05).

conclusionOur study showed that significant predictors of preventive behaviors included the HBM constructs, age, education, knowledge, non-smoking, and living with family members who do not consume raw fish. Public health campaigns should focus on strengthening HBM constructs and knowledge with particular attention to older adults, smokers, less-educated individuals, and households in which family members consume raw fish.

Indexed as

FascioliasisHealth BehaviorHealth Belief ModelHealth Knowledge, Attitudes, PracticeAdultAnimalsCross-Sectional StudiesFasciola hepaticaFemaleFollow-Up StudiesHumansHygieneLatent Class AnalysisMaleMiddle AgedPrevalenceHealth Belief ModelLiver fluke infection-preventive behaviorsStructural equation modelThailand

Identifiers

PMID41793671
PMCPMC13559273

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.