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Digital health literacy status and influencing factors of rural elderly, Shandong
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Mei-ye LI1, Xiao-jie MA1, Chao-jun SHI1, Yi-fan WANG1, Wen-jia FENG1, Qun-kai WANG2, Hui LI3, Zao-hong YAN4, Run-guo GAO1, Qian-qian GAO1
Modern Preventive Medicine | 2025, 52(8) : 1461 - 1468
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Modern Preventive Medicine | 2025, 52(8): 1461-1468
Health and Social Behavior
Digital health literacy status and influencing factors of rural elderly, Shandong
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Mei-ye LI1, Xiao-jie MA1, Chao-jun SHI1, Yi-fan WANG1, Wen-jia FENG1, Qun-kai WANG2, Hui LI3, Zao-hong YAN4, Run-guo GAO1, Qian-qian GAO1
Affiliations
  • Shandong Second Medical University, Weifang, Shangdong 261053, China
Published: 2025-04-25 doi: 10.20043/j.cnki.MPM.202408449
Outline
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Objective

To understand the current status of digital health literacy among rural elderly individuals in Shandong Province and analyze the main influencing factors.

Methods

A multi-stage stratified cluster random sampling method was employed to select 720 rural individuals aged 60 years and older from the eastern, central, and western regions of Shandong Province for a questionnaire survey. Multiple linear regression analysis was used to explore the factors influencing digital health literacy among the elderly.

Results

The average digital health literacy score of the 720 rural elderly participants was 58.31±16.34. Multiple linear regression revealed that factors associated with higher digital health literacy included normal BMI (β=8.28, P<0.001), low body weight (β=18.61, P<0.001), self-reported good health status (β=6.90, P<0.001), general health status (β=10.20, P<0.001), being married (β=3.49, P=0.001), monthly income between 3 000-4 999 yuan (β=6.75, P<0.001), income ≥5 000 yuan (β=11.48, P<0.001), and having health insurance coverage (urban employee health insurance/rural resident health insurance) (β=5.58, P=0.001).

Conclusion

The level of digital health literacy among rural elderly individuals in Shandong Province needs improvement. Targeted measures should be implemented from five aspects: personal traits, behavioral characteristics, interpersonal relationships, living and working conditions, and policy environment, in order to enhance digital health literacy in this population.

Older adults  /  Digital health literacy  /  Health ecology model  /  Influencing factors
Mei-ye LI, Xiao-jie MA, Chao-jun SHI, Yi-fan WANG, Wen-jia FENG, Qun-kai WANG, Hui LI, Zao-hong YAN, Run-guo GAO, Qian-qian GAO. Digital health literacy status and influencing factors of rural elderly, Shandong[J]. Modern Preventive Medicine, 2025 , 52 (8) : 1461 -1468 . DOI: 10.20043/j.cnki.MPM.202408449
Year 2025 volume 52 Issue 8
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doi: 10.20043/j.cnki.MPM.202408449
  • Receive Date:2024-08-29
  • Online Date:2026-03-17
  • Published:2025-04-25
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  • Received:2024-08-29
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    Shandong Second Medical University, Weifang, Shangdong 261053, China
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多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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