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Factors influencing digital literacy and difficulties in using digital devices among older adults in Qiqihar city: a cross-sectional survey
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Zeyu YAN1, Yifei ZHU1, Tianyi PAN1, Ziyu WANG1, Yanhua HAO1, Xuejing BI2
Chinese Journal of Public Health | 2025, 41(2) : 165 - 169
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Chinese Journal of Public Health | 2025, 41(2): 165-169
• Epidemiological Research •
Factors influencing digital literacy and difficulties in using digital devices among older adults in Qiqihar city: a cross-sectional survey
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Zeyu YAN1, Yifei ZHU1, Tianyi PAN1, Ziyu WANG1, Yanhua HAO1, Xuejing BI2
Affiliations
  • 1School of Health Management, Harbin Medical University, Harbin 150081, China
  • 2School of Basic Nursing, Harbin Medical University, Daqing 163319, China
Published: 2025-02-10 doi: 10.11847/zgggws1145122
Outline
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Objective

To understand the influencing factors of digital literacy and the difficulties of integration into the digital society among older adults in Qiqihar city in order to provide a reference for enhancing the adaptability of older adults in the digital society and promoting the realization of healthy aging goals.

Methods

Using stratified cluster sampling and a self-developed questionnaire, face-to-face interviews were conducted in October 2023 with 390 residents aged 60 years and older from 3 urban and 4 rural communities in Qiqihar city, Heilongjiang province. Multiple linear regression models were used to analyze the main factors influencing older adults' digital literacy. Older adults' difficulties in using digital devices were also analyzed.

Results

For all participants, the crude and standardized total digital literacy scores were 17.72±14.08 and 1.11±0.88, with crude and standardized dimensional scores of 7.31±4.68 and 1.83±1.17 for cognition, 6.07±6.55 and 0.86±0.94 for information acquisition skills, and 4.35±4.61 and 0.87±0.92 for operational skills, respectively. Of the 390 participants, 191 (49.0%) were classified as high digital literacy and 199 (51.0%) as low digital literacy. Multiple linear regression analysis showed that higher education level (β=3.476), average monthly personal income (β=5.213), perceived usefulness (β=4.452), and perceived ease of use of digital devices (β=5.330) were associated with higher digital literacy among the participants, while older age (β= –2.303) was associated with lower digital literacy (all P<0.05). For participants with low digital literacy, the main difficulties in using digital devices were scanning codes to enter or exit public places (the selected number accounted for 23%), registering for medical care (22.4%), buying tickets for commuting or travel (18.4%), and making mobile payments (18.4%); for participants with high digital literacy, the main difficulties were registering for medical care (28.8%), buying tickets for commuting or travel (26.3%), and using a ride-hailing service online (22.2%).

Conclusions

Digital literacy among older adults in Qiqihar City is relatively low and was mainly influenced by age, education, average monthly personal income, and perceived usefulness and ease of use of digital devices. The older adults have greater difficulties in registering for medical care and buying tickets for commuting or travel. The results suggest that several measures should be taken to improve the adaptability of older adults in the digital society.

digital literacy  /  influencing factor  /  social integration  /  digital scenario  /  older adults  /  healthy aging
闫泽煜, 朱逸飞, 潘天一, 王子予, 郝艳华, 毕雪晶. 健康老龄化背景下齐齐哈尔市老年人数字素养影响因素及社会融入数字化场景分析. 中国公共卫生, 2025 , 41 (2) : 165 -169 . DOI: 10.11847/zgggws1145122
Zeyu YAN, Yifei ZHU, Tianyi PAN, Ziyu WANG, Yanhua HAO, Xuejing BI. Factors influencing digital literacy and difficulties in using digital devices among older adults in Qiqihar city: a cross-sectional survey[J]. Chinese Journal of Public Health, 2025 , 41 (2) : 165 -169 . DOI: 10.11847/zgggws1145122
Year 2025 volume 41 Issue 2
108
46
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Article Info
doi: 10.11847/zgggws1145122
  • Receive Date:2024-06-04
  • Online Date:2026-10-25
  • Published:2025-02-10
Article Data
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History
  • Received:2024-06-04
  • Revised:2024-09-10
  • Accepted:2024-11-19
Affiliations
    1School of Health Management, Harbin Medical University, Harbin 150081, China
    2School of Basic Nursing, Harbin Medical University, Daqing 163319, China

Corresponding:

HAO Yanhua, E-mail:
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