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KMID : 1022320240180020106
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Asian Nursing Research
2024 Volume.18 No. 2 p.106 ~ p.113
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A Nomogram for Predicting the Infectious Disease-specific Health Literacy of Older Adults in China
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Qinghua Zhang
Jinyu Yin
Yujie Wang
Li Song
Tongtong Liu
Shengguang Cheng
Siyi Shang
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Abstract
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PurposeTo identify the predictors of infectious disease-specific health literacy (IDSHL), and establish an easy-to-apply nomogram to predict the IDSHL of older adults.
MethodsThis cross-sectional study included 380 older adults who completed the IDSHL, self-rated health, socio-demographic and other questionnaires. Logistic regression was used to identify the IDSHL predictors. Nomogram was used to construct a predictive model.
ResultsUp to 70.1% of older adults had limited IDSHL. Age, education, place of residence, self-rated health, and Internet access were the important influencing factors of IDSHL. The established nomogram model showed high accuracy (receiver operating characteristic curve: 0.848).
ConclusionsThe IDSHL of Chinese older adults was significantly deficient. The constructed nomogram is an intuitive tool for IDSHL prediction that can not only contribute toward rapid screening of high-risk older adults with limited IDSHL but also provide guidance for healthcare providers to develop prevention strategies for infectious diseases.
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KEYWORD
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aged, communicable diseases, health literacy, nomograms
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