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Article: Socioeconomic Disparities in eHealth Literacy and Preventive Behaviors during the COVID-19 Pandemic in Hong Kong: Cross-Sectional Study
Title | Socioeconomic Disparities in eHealth Literacy and Preventive Behaviors during the COVID-19 Pandemic in Hong Kong: Cross-Sectional Study |
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Authors | |
Issue Date | 2021 |
Publisher | Journal of Medical Internet Research. The Journal's web site is located at http://www.jmir.org/ |
Citation | Journal of Medical Internet Research, 2021, v. 23 n. 4, article no. e24577 How to Cite? |
Abstract | Background:
Electronic health (eHealth) literacy would facilitate online information seeking and taking informed measures.
Objective:
We studied socioeconomic disparities in eHealth literacy and online COVID-19 information seeking, and their associations with COVID-19 preventive behaviors.
Methods:
The COVID-19 Health Information Survey (CoVHIns), using landline (n=500) and online surveys (n=1001), was conducted in adults in Hong Kong in April 2020. Chinese eHealth literacy scale (eHEALS, range 8¬–40) was used to measure eHealth literacy. COVID-19 preventive behaviors included wearing surgical masks, wearing fabric masks, washing hands, social distancing, and adding water/bleach to the household drainage system. Adjusted beta-coefficients and the slope indices of inequality (SII) for eHEALS score by socioeconomic status, adjusted odds ratios (aOR) for online COVID-19 information seeking by socioeconomic status, and aORs for high adherence to preventive behaviors by eHEALS score and online COVID-19 information seeking were calculated.
Results:
The mean score of eHEALS was 26.10 (standard deviation, 7.70). Age was inversely, but education and personal income were positively associated with eHEALS score and online COVID-19 information seeking (all P for trend <0.05). Participants who sought online COVID-19 information showed high adherence to wearing surgical mask (aOR 1.56 95% CI [1.15-2.13]), washing hand (aOR 1.33 [1.05-1.71]), social distancing (aOR 1.48 [1.14-1.93]), and adding water/bleach to household drainage system (aOR 1.67 [1.28-2.18]). Those with the highest eHEALS score was associated with high adherence to wearing surgical mask (aOR 3.84 [1.63-9.05]), washing hand (aOR 4.14 [2.46-6.96]), social distancing (aOR 2.25 [1.39-3.65]), and adding water/bleach to the household drainage system (aOR 1.94 [1.19-3.16]), compared those with the lowest eHEALS score.
Conclusions:
Chinese adults with higher socioeconomic status had higher eHealth literacy and online COVID-19 information seeking; both were associated with high adherence to the guideline on preventive behaviors during the COVID-19 pandemic. |
Persistent Identifier | http://hdl.handle.net/10722/295233 |
ISSN | 2021 Impact Factor: 7.076 2020 SCImago Journal Rankings: 1.446 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | GUO, Z | - |
dc.contributor.author | ZHAO, S | - |
dc.contributor.author | GUO, N | - |
dc.contributor.author | Wu, Y | - |
dc.contributor.author | Weng, X | - |
dc.contributor.author | Wong, JYH | - |
dc.contributor.author | Lam, TH | - |
dc.contributor.author | Wang, MP | - |
dc.date.accessioned | 2021-01-11T13:57:13Z | - |
dc.date.available | 2021-01-11T13:57:13Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Journal of Medical Internet Research, 2021, v. 23 n. 4, article no. e24577 | - |
dc.identifier.issn | 1438-8871 | - |
dc.identifier.uri | http://hdl.handle.net/10722/295233 | - |
dc.description.abstract | Background: Electronic health (eHealth) literacy would facilitate online information seeking and taking informed measures. Objective: We studied socioeconomic disparities in eHealth literacy and online COVID-19 information seeking, and their associations with COVID-19 preventive behaviors. Methods: The COVID-19 Health Information Survey (CoVHIns), using landline (n=500) and online surveys (n=1001), was conducted in adults in Hong Kong in April 2020. Chinese eHealth literacy scale (eHEALS, range 8¬–40) was used to measure eHealth literacy. COVID-19 preventive behaviors included wearing surgical masks, wearing fabric masks, washing hands, social distancing, and adding water/bleach to the household drainage system. Adjusted beta-coefficients and the slope indices of inequality (SII) for eHEALS score by socioeconomic status, adjusted odds ratios (aOR) for online COVID-19 information seeking by socioeconomic status, and aORs for high adherence to preventive behaviors by eHEALS score and online COVID-19 information seeking were calculated. Results: The mean score of eHEALS was 26.10 (standard deviation, 7.70). Age was inversely, but education and personal income were positively associated with eHEALS score and online COVID-19 information seeking (all P for trend <0.05). Participants who sought online COVID-19 information showed high adherence to wearing surgical mask (aOR 1.56 95% CI [1.15-2.13]), washing hand (aOR 1.33 [1.05-1.71]), social distancing (aOR 1.48 [1.14-1.93]), and adding water/bleach to household drainage system (aOR 1.67 [1.28-2.18]). Those with the highest eHEALS score was associated with high adherence to wearing surgical mask (aOR 3.84 [1.63-9.05]), washing hand (aOR 4.14 [2.46-6.96]), social distancing (aOR 2.25 [1.39-3.65]), and adding water/bleach to the household drainage system (aOR 1.94 [1.19-3.16]), compared those with the lowest eHEALS score. Conclusions: Chinese adults with higher socioeconomic status had higher eHealth literacy and online COVID-19 information seeking; both were associated with high adherence to the guideline on preventive behaviors during the COVID-19 pandemic. | - |
dc.language | eng | - |
dc.publisher | Journal of Medical Internet Research. The Journal's web site is located at http://www.jmir.org/ | - |
dc.relation.ispartof | Journal of Medical Internet Research | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | Socioeconomic Disparities in eHealth Literacy and Preventive Behaviors during the COVID-19 Pandemic in Hong Kong: Cross-Sectional Study | - |
dc.type | Article | - |
dc.identifier.email | Wu, Y: ydswu@hku.hk | - |
dc.identifier.email | Weng, X: wengxue@connect.hku.hk | - |
dc.identifier.email | Wong, JYH: janetyh@hku.hk | - |
dc.identifier.email | Lam, TH: hrmrlth@hkucc.hku.hk | - |
dc.identifier.email | Wang, MP: mpwang@hku.hk | - |
dc.identifier.authority | Wong, JYH=rp01561 | - |
dc.identifier.authority | Lam, TH=rp00326 | - |
dc.identifier.authority | Wang, MP=rp01863 | - |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.2196/24577 | - |
dc.identifier.pmid | 33784240 | - |
dc.identifier.pmcid | PMC8048711 | - |
dc.identifier.scopus | eid_2-s2.0-85104450369 | - |
dc.identifier.hkuros | 320850 | - |
dc.identifier.volume | 23 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | article no. e24577 | - |
dc.identifier.epage | article no. e24577 | - |
dc.identifier.isi | WOS:000642261800004 | - |
dc.publisher.place | Canada | - |
dc.identifier.issnl | 1438-8871 | - |