Abstract：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.
杨秀琳, 马宗康, 马霞, 马鑫. 东乡族自治县农村居民传染病健康素养调查[J]. 预防医学, 2023, 35(2): 166-170.
YANG Xiulin, MA Zongkang, MA Xia, MA Xin. Investigation of infectious disease-specific health literacy among rural residents in Dongxiang Autonomous County. Preventive Medicine, 2023, 35(2): 166-170.
 OSBORNE R H,BEAUCHAMP A,BATTERHAM R.Health literacy:a concept with potential to greatly impact the infectious diseases field[J].Int J Infect Dis,2016,43:101-102.  XIAO X,XIAO J,YAO J,et al.The role of resilience and gender in relation to infectious-disease-specific health literacy and anxiety during the COVID-19 pandemic[J].Neuropsychiatr Dis Treat,2020,16:3011-3021.  东乡县统计局.东乡族自治县第七次全国人口普查公报[EB/OL].[2022-12-22].http://www.dxzzzx.gov.cn/BmXxGk/Content?ItemID=44babb43-35d3-4312-8e9e-af545cdb6cc3.  ZHU L,SUN H,TIAN G,et al.Development and validation of a risk prediction model and nomogram for colon adenocarcinoma based on methylation-driven genes[J].Aging,2021,13(12):16600-16619.  晋菲斐,田向阳,邸泽青,等.中国居民传染病健康素养量表编制与信效度检验[J].中国公共卫生,2016,32(12):1651-1655.  杜维婧,程晓丽,柴燕,等.我国3省两类场所农民工传染病健康素养及影响因素分析[J].中国健康教育,2017,33(10):889-893.  胡佳,田向阳,陈继彬,等.中国3省居民传染病健康素养现状及影响因素分析[J].中国公共卫生,2020,36(2):183-187.  谢燕,张雪军,谢铮,等.工程建设企业海外员工传染病健康素养现状及影响因素[J].中华疾病控制杂志,2021,25(8):918-922.  胡秀静,徐越,姚丁铭,等.老年人健康素养与促进策略研究[J].预防医学,2022,34(4):361-365,370.  徐倩倩,梅秋红,冯宏伟,等.2015—2019年宁波市居民健康素养变化及影响因素分析[J].预防医学,2021,33(1):35-40.  CHERREZ OJEDA I,VANEGAS E,TORRES M,et al.Ecuadorian cancer patients' preference for information and communication technologies:cross-sectional study[J/OL].J Med Internet Res,2018,20(2)[2022-12-22].http://doi.org/10.2196/jmir.8485.  KHOONG E C,LE G M,HOSKOTE M,et al.Health information-seeking behaviors and preferences of a diverse,multilingual urban cohort[J].Med Care,2019,57(Suppl.62):S176-S183.  XIONG Z,ZHANG L,LI Z,et al.Frequency of online health information seeking and types of information sought among the general Chinese population:cross-sectional study[J/OL].J Med Internet Res,2021,23(12)[2022-12-22].http://doi.org/10.2196/30855.