Factors Associated With Limited Digital Health Literacy Among Chinese Male Populations: Cross-sectional Study

BackgroundeHealth resources and interventions promise to promote favorable behavior change, self-efficacy, and knowledge acquisition, thereby improving health literacy. However, individuals with limited eHealth literacy may find it difficult to identify, understand, and benef...

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Main Authors: Zhaoquan Xing, Meng Ji, Zhaogang Dong, Xiaofei Xu, Yi Shan
Format: Article
Language:English
Published: JMIR Publications 2023-04-01
Series:JMIR Formative Research
Online Access:https://formative.jmir.org/2023/1/e42868
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author Zhaoquan Xing
Meng Ji
Zhaogang Dong
Xiaofei Xu
Yi Shan
author_facet Zhaoquan Xing
Meng Ji
Zhaogang Dong
Xiaofei Xu
Yi Shan
author_sort Zhaoquan Xing
collection DOAJ
description BackgroundeHealth resources and interventions promise to promote favorable behavior change, self-efficacy, and knowledge acquisition, thereby improving health literacy. However, individuals with limited eHealth literacy may find it difficult to identify, understand, and benefit from eHealth use. It is necessary to identify the self-assessed eHealth literacy of those who use eHealth resources to classify their eHealth literacy levels and to determine the demographic characteristics associated with higher and lower eHealth literacy skills. ObjectiveThis study aimed to identify notable factors closely associated with limited eHealth literacy among Chinese male populations to provide some implications for clinical practice, health education, medical research, and public health policy making. MethodsWe hypothesized that participants’ eHealth literacy status was associated with various demographic characteristics. Therefore, we elicited the following information in the questionnaire: age and education, self-assessed disease knowledge, 3 well-developed health literacy assessment tools (ie, the All Aspects of Health Literacy Scale, eHealth Literacy Scale, and General Health Numeracy Test), and the 6 Internal items on health beliefs and self-confidence in the Multidimensional Health Locus of Control Scales. Using randomized sampling, we recruited survey participants from Qilu Hospital of Shandong University, China. After validating the data collected through a web-based questionnaire survey via wenjuanxing, we coded all valid data according to predefined coding schemes of Likert scales with different point (score) ranges. We then calculated the total scores of the subsections of the scales or the entire scale. Finally, we used logistic regression modeling to associate the scores of the eHealth Literacy Scale with the scores of the All Aspects of Health Literacy Scale, the General Health Numeracy Test-6, and age and education to ascertain factors considerably associated with limited eHealth literacy among Chinese male populations. ResultsAll data from the 543 returned questionnaires were valid according to the validation criteria. By interpreting these descriptive statistics, we found that 4 factors were significantly correlated with participants’ limited eHealth literacy: older age, lower education attainment, lower levels of all aspects of health literacy (functional, communicative, and critical), and weaker beliefs and self-confidence in internal drivers and strengths to stay healthy. ConclusionsBy applying logistic regression modeling, we ascertained 4 factors that were significantly correlated with limited eHealth literacy among Chinese male populations. These relevant factors identified can inform stakeholders engaging in clinical practice, health education, medical research, and health policy making.
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spelling doaj.art-5b85e0a3b04b42d98a4af8858abd22b62023-08-28T23:54:52ZengJMIR PublicationsJMIR Formative Research2561-326X2023-04-017e4286810.2196/42868Factors Associated With Limited Digital Health Literacy Among Chinese Male Populations: Cross-sectional StudyZhaoquan Xinghttps://orcid.org/0000-0002-5106-1378Meng Jihttps://orcid.org/0000-0002-7463-9208Zhaogang Donghttps://orcid.org/0000-0001-8174-2476Xiaofei Xuhttps://orcid.org/0000-0002-6406-6768Yi Shanhttps://orcid.org/0000-0001-5852-1122 BackgroundeHealth resources and interventions promise to promote favorable behavior change, self-efficacy, and knowledge acquisition, thereby improving health literacy. However, individuals with limited eHealth literacy may find it difficult to identify, understand, and benefit from eHealth use. It is necessary to identify the self-assessed eHealth literacy of those who use eHealth resources to classify their eHealth literacy levels and to determine the demographic characteristics associated with higher and lower eHealth literacy skills. ObjectiveThis study aimed to identify notable factors closely associated with limited eHealth literacy among Chinese male populations to provide some implications for clinical practice, health education, medical research, and public health policy making. MethodsWe hypothesized that participants’ eHealth literacy status was associated with various demographic characteristics. Therefore, we elicited the following information in the questionnaire: age and education, self-assessed disease knowledge, 3 well-developed health literacy assessment tools (ie, the All Aspects of Health Literacy Scale, eHealth Literacy Scale, and General Health Numeracy Test), and the 6 Internal items on health beliefs and self-confidence in the Multidimensional Health Locus of Control Scales. Using randomized sampling, we recruited survey participants from Qilu Hospital of Shandong University, China. After validating the data collected through a web-based questionnaire survey via wenjuanxing, we coded all valid data according to predefined coding schemes of Likert scales with different point (score) ranges. We then calculated the total scores of the subsections of the scales or the entire scale. Finally, we used logistic regression modeling to associate the scores of the eHealth Literacy Scale with the scores of the All Aspects of Health Literacy Scale, the General Health Numeracy Test-6, and age and education to ascertain factors considerably associated with limited eHealth literacy among Chinese male populations. ResultsAll data from the 543 returned questionnaires were valid according to the validation criteria. By interpreting these descriptive statistics, we found that 4 factors were significantly correlated with participants’ limited eHealth literacy: older age, lower education attainment, lower levels of all aspects of health literacy (functional, communicative, and critical), and weaker beliefs and self-confidence in internal drivers and strengths to stay healthy. ConclusionsBy applying logistic regression modeling, we ascertained 4 factors that were significantly correlated with limited eHealth literacy among Chinese male populations. These relevant factors identified can inform stakeholders engaging in clinical practice, health education, medical research, and health policy making.https://formative.jmir.org/2023/1/e42868
spellingShingle Zhaoquan Xing
Meng Ji
Zhaogang Dong
Xiaofei Xu
Yi Shan
Factors Associated With Limited Digital Health Literacy Among Chinese Male Populations: Cross-sectional Study
JMIR Formative Research
title Factors Associated With Limited Digital Health Literacy Among Chinese Male Populations: Cross-sectional Study
title_full Factors Associated With Limited Digital Health Literacy Among Chinese Male Populations: Cross-sectional Study
title_fullStr Factors Associated With Limited Digital Health Literacy Among Chinese Male Populations: Cross-sectional Study
title_full_unstemmed Factors Associated With Limited Digital Health Literacy Among Chinese Male Populations: Cross-sectional Study
title_short Factors Associated With Limited Digital Health Literacy Among Chinese Male Populations: Cross-sectional Study
title_sort factors associated with limited digital health literacy among chinese male populations cross sectional study
url https://formative.jmir.org/2023/1/e42868
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AT xiaofeixu factorsassociatedwithlimiteddigitalhealthliteracyamongchinesemalepopulationscrosssectionalstudy
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