RESUMO
Objective@#To investigate the influencing factors of infectious disease-specific health literacy (IDSHL) among rural residents in Dongxiang Autonomous County, and to construct a nomogram-based model for prediction of IDSHL.@*Methods@#Totally 1 250 rural residents at ages of 15 years and older were sampled from Dongxiang Autonomous County using a stratified random sampling method. Participants' IDSHL was evaluated using the IDSHL Assessment Scale among Chinese Residents, and factors affecting the participants' IDSHL were identified using a multivariable logistic regression model. A nomogram-based model was created, and the predictive effectiveness of this model was evaluated using the receiver operating characteristic (ROC) curve, Hosmer-Lemeshow test and C-index.@*Results@#A total of 1 223 valid respondents were enrolled, including 687 men (56.17%) and 536 women (43.83%), and the proportion of IDSHL was 48.48%. Multivariable logistic regression analysis identified age (reference: 60 years and older; 30 to <40 years: OR=4.273, 95%CI: 2.397-7.617; 40 to <50 years: OR=3.938, 95%CI: 2.238-6.928), education level (reference: illiteracy/semi-illiteracy; primary school: OR=2.140, 95%CI: 1.456-3.144; high school/vocational high school/technical secondary school: OR=2.914, 95%CI: 1.652-5.138; junior college and above: OR=4.514, 95%CI: 2.261-9.011), healthcare seeking/medications in the past 2 weeks (reference: yes; no: OR=2.025, 95%CI: 1.346-3.046), self-rated health (reference: good; generally: OR=0.603, 95%CI: 0.376-0.966; poor: OR=0.462, 95%CI: 0.284-0.751) and daily average duration spent online (reference: no internet access; <1 h: OR=1.859, 95%CI: 1.306-3.437; 1 to <2 h, OR=1.996, 95%CI: 1.344-3.380; 2 to <3 h: OR=2.132, 95%CI: 1.109-3.116; 3 h and longer: OR=2.119, 95%CI: 1.175-3.390) as factors affecting IDSHL among rural residents in Dongxiang Autonomous County. The area under the ROC curve of the model was 0.774 (95%CI: 0.741-0.807) and the model had high calibration and differentiation levels [Hosmer-Lemeshow test: χ2=13.276, P=0.103; internal model validation (bootstrapping): mean absolute error=0.019; C-index=0.764].@*Conclusions@#Age, education level, healthcare seeking/medications in the past 2 weeks, self-rated health status and daily average duration spent online are factors affecting IDSHL among rural residents in Dongxiang Autonomous County. The nomogram model created based on these factors has a high efficiency and applicability for prediction of IDSHL among rural residents in Dongxiang Autonomous County.