东乡族自治县农村居民传染病健康素养调查

doi:10.19485/j.cnki.issn2096-5087.2023.02.019

Preventive Medicine

2023, Vol. 35

Issue (2): 166-170 DOI: 10.19485/j.cnki.issn2096-5087.2023.02.019

Health Education

Current Issue | Archive | Adv Search

Investigation of infectious disease-specific health literacy among rural residents in Dongxiang Autonomous County

YANG Xiulin, MA Zongkang, MA Xia, MA Xin

Department of Nursing, Medical College, Northwest Minzu University, Lanzhou, Gansu 730030, China

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (900 KB) HTML (0 KB)
Export: BibTeX | EndNote (RIS)

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.

Key words： infectious disease-specific health literacy influencing factor nomogram rural area

Received: 15 November 2022 Revised: 22 December 2022 Published: 21 February 2023

ZTFLH:

R193.3

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	YANG Xiulin
	MA Zongkang
	MA Xia
	MA Xin

Cite this article:

YANG Xiulin,MA Zongkang,MA Xia, et al. Investigation of infectious disease-specific health literacy among rural residents in Dongxiang Autonomous County[J]. Preventive Medicine, 2023, 35(2): 166-170.

URL:

http://www.zjyfyxzz.com/EN/10.19485/j.cnki.issn2096-5087.2023.02.019 OR http://www.zjyfyxzz.com/EN/Y2023/V35/I2/166

[1] 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.
[2] 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.
[3] 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.
[4] 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.
[5] 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.
[6] 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.
[7] 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.
[8] 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.
[9] 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.
[10] 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.
[11] 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.
[12] 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.
[13] 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.