Digital health literacy and associated factors among internet users from China : a cross-sectional study
© 2024. The Author(s)..
BACKGROUND: As the internet develops and 5G technology becomes increasingly prominent, the internet has become a major source of health-related information. Increasingly, people use the internet to find health-related information, and digital health literacy is now a set of essential capabilities to improve their health in the digital era. However, little is known about the factors that influencing digital health literacy. This study aimed to assess digital health literacy scores and identify its influencing factors among internet users in China. Additionally, this study explored the participant's actual skills using an additional set of performance-based items from the Digital Health Literacy Instrument (DHLI).
METHODS: An online cross-sectional study was conducted in August 2022. Participants aged ≥18 years were recruited to complete the survey. Data were collected using the Chinese revised version of the DHLI, the self-reported internet use questionnaire, and the sociodemographic questionnaire. We conducted multivariate linear regression analyses to explore the relationships among the sociodemographic variables, behavior of internet use, and the digital health literacy scores.
RESULTS: In total, 702 participants completed the survey. The mean DHLI score was 2.69 ± 0.61. Multivariate linear regression analyses showed that the age groups 35-49 (β = - 0.08, P = 0.033), 50-64 (β = - 0.161, P < 0.001), and ≥ 65 (β = - 0.138, P < 0.001) were negatively associated with DHL scores. However, education level, including bachelor's or associate degree (β = 0.255, P = 0.002) and master's degree and above (β = 0.256, P < 0.001), frequency of health-related Internet usage (β = 0.192, P < 0.001), the number of digital devices used (β = 0.129, P = 0.001), and OHISB (β = 0.103, P = 0.006) showed a positive relationship with DHL scores.
CONCLUSIONS: The study findings demonstrate that age, educational levels, number of technological devices used, and greater use of the web for health information were independently associated with DHL scores. Healthcare providers should consider providing training programs tailored to specific sociodemographic factors to improve the ability that find and use accurate information online to meet digital health services, which contributes to enhance their self-management and reduce health disparities.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2024 |
|---|---|
| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:24 |
|---|---|
| Enthalten in: |
BMC public health - 24(2024), 1 vom: 27. März, Seite 908 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Zhao, Bing-Yue [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Digital health literacy |
|---|
| Anmerkungen: |
Date Completed 29.03.2024 Date Revised 30.03.2024 published: Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1186/s12889-024-18324-0 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM370287231 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM370287231 | ||
| 003 | DE-627 | ||
| 005 | 20240331001412.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240329s2024 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1186/s12889-024-18324-0 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1357.xml |
| 035 | |a (DE-627)NLM370287231 | ||
| 035 | |a (NLM)38539176 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Zhao, Bing-Yue |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Digital health literacy and associated factors among internet users from China |b a cross-sectional study |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 29.03.2024 | ||
| 500 | |a Date Revised 30.03.2024 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2024. The Author(s). | ||
| 520 | |a BACKGROUND: As the internet develops and 5G technology becomes increasingly prominent, the internet has become a major source of health-related information. Increasingly, people use the internet to find health-related information, and digital health literacy is now a set of essential capabilities to improve their health in the digital era. However, little is known about the factors that influencing digital health literacy. This study aimed to assess digital health literacy scores and identify its influencing factors among internet users in China. Additionally, this study explored the participant's actual skills using an additional set of performance-based items from the Digital Health Literacy Instrument (DHLI) | ||
| 520 | |a METHODS: An online cross-sectional study was conducted in August 2022. Participants aged ≥18 years were recruited to complete the survey. Data were collected using the Chinese revised version of the DHLI, the self-reported internet use questionnaire, and the sociodemographic questionnaire. We conducted multivariate linear regression analyses to explore the relationships among the sociodemographic variables, behavior of internet use, and the digital health literacy scores | ||
| 520 | |a RESULTS: In total, 702 participants completed the survey. The mean DHLI score was 2.69 ± 0.61. Multivariate linear regression analyses showed that the age groups 35-49 (β = - 0.08, P = 0.033), 50-64 (β = - 0.161, P < 0.001), and ≥ 65 (β = - 0.138, P < 0.001) were negatively associated with DHL scores. However, education level, including bachelor's or associate degree (β = 0.255, P = 0.002) and master's degree and above (β = 0.256, P < 0.001), frequency of health-related Internet usage (β = 0.192, P < 0.001), the number of digital devices used (β = 0.129, P = 0.001), and OHISB (β = 0.103, P = 0.006) showed a positive relationship with DHL scores | ||
| 520 | |a CONCLUSIONS: The study findings demonstrate that age, educational levels, number of technological devices used, and greater use of the web for health information were independently associated with DHL scores. Healthcare providers should consider providing training programs tailored to specific sociodemographic factors to improve the ability that find and use accurate information online to meet digital health services, which contributes to enhance their self-management and reduce health disparities | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Digital health literacy | |
| 650 | 4 | |a Health-related information | |
| 650 | 4 | |a Internet use | |
| 650 | 4 | |a Performance-based | |
| 650 | 4 | |a eHealth literacy | |
| 700 | 1 | |a Huang, Long |e verfasserin |4 aut | |
| 700 | 1 | |a Cheng, Xiao |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Ting-Ting |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Si-Jia |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Xiao-Juan |e verfasserin |4 aut | |
| 700 | 1 | |a Huang, Shui-Xiu |e verfasserin |4 aut | |
| 700 | 1 | |a Hu, Rong-Fang |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Hong |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t BMC public health |d 2001 |g 24(2024), 1 vom: 27. März, Seite 908 |w (DE-627)NLM111200962 |x 1471-2458 |7 nnns |
| 773 | 1 | 8 | |g volume:24 |g year:2024 |g number:1 |g day:27 |g month:03 |g pages:908 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1186/s12889-024-18324-0 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 24 |j 2024 |e 1 |b 27 |c 03 |h 908 | ||