心理发展与教育 ›› 2025, Vol. 41 ›› Issue (5): 740-749.doi: 10.16187/j.cnki.issn1001-4918.2025.05.14

• 心理健康与教育 • 上一篇    

跨越年龄数字鸿沟:老年人互联网使用行为及其促进和阻碍因素

牛更枫1,2,3, 金斯妤1,2,3, 史晓涵1,2,3, 杨文城1,2,3, 周宗奎1,2,3   

  1. 1. 华中师范大学心理学院暨人的发展与心理健康湖北省重点实验室, 武汉 430079;
    2. 青少年网络心理与行为教育部重点实验室, 武汉 430079;
    3. 华中师范大学网络素养与行为研究中心, 武汉 430079
  • 发布日期:2025-09-15
  • 通讯作者: 周宗奎 E-mail:zhouzk@ccnu.edu.cn
  • 基金资助:
    国家社科基金项目(22FSHB016,20CSH072);2022年度青少年网络心理与行为教育部重点实验室和人的发展与心理健康湖北省重点实验室开放课题(CCNUCYPSYLAB2022B11)。

Bridging the Age Digital Divide: Internet Usage Behavior of Elderly

NIU Gengfeng1,2,3, JIN Siyu1,2,3, SHI Xiaohan1,2,3, YANG Wencheng1,2,3, ZHOU Zongkui1,2,3   

  1. 1. School of Psychology, and Hubei Key Laboratory of Human Development and Mental Health, Central China Normal University, Wuhan 430079;
    2. Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan 430079;
    3. Center for Research on Internet Literacy and Behavior, Central China Normal University, Wuhan 430079
  • Published:2025-09-15

摘要: 在当前信息社会,老年人的互联网使用备受关注。虽然互联网使用对老年人的日常生活与健康有着广泛影响,但老年人的互联网使用率相对较低。因此,厘清老年人互联网使用现状、使用影响以及影响因素有着重要意义。基于上述,本文系统概述了老年人互联网使用的行为现状特点、使用影响、理论基础,还从个体和环境层面对其影响因素进行了梳理,概述了影响老年人互联网使用的促进性和阻碍性因素。同时,本文进一步指出了当前研究的局限性和未来研究方向——推动“适老化”改造的基础研究,采用纵向追踪和认知神经科学的研究方法,并进一步探讨老年人互联网使用的前因和后效及其潜在心理机制。

关键词: 老年人, 互联网使用, 数字鸿沟, 促进和阻碍因素

Abstract: In the current information society, the Internet usage of the elderly has received significant attention. Although Internet usage has a wide impact on the daily life and health of the elderly, the usage rate among the elderly remains relatively low. Therefore, it is important to clarify the current status of internet usage among older adults, its effects on usage, and influencing factors. Based on the above, this paper systematically outlines the characteristics of internet usage among older adults, its effects on usage, and theoretical foundations. It also summarizes the influencing factors from individual and environmental perspectives, outlining both facilitating and inhibiting factors. Additionally, this paper points out the limitations of current research and future research directions-promoting basic research on “age-friendly” transformation, adopting longitudinal tracking and cognitive neuroscience research methods, and further exploring the antecedents, consequences, and potential psychological mechanisms of internet usage among older adults.

Key words: elderly, internet usage, digital divide, facilitating and inhibiting factors

中图分类号: 

  • B844
Anderson, M., & Perrin, A. (2017). Technology use among seniors.Washington, DC: Pew Research Center for Internet & Technology.
Bandura, A. (1986). Social foundations of thought and action(pp.23-28).Englewood Cliffs, NJ.
Busch, P. A., Hausvik, G. I., Ropstad, O. K., & Pettersen, D. (2021). Smartphone usage among older adults.Computers in Human Behavior, 121, 106783.https://doi.org/10.1016/j.chb.2021.106783
Cai, J., & Wohn, D. Y. (2019).Live streaming commerce: Uses and gratifications approach to understanding consumers’ motivations. In Proceedings of the 52nd Hawaii International Conference on System Sciences. Hawaii, USA. https://hdl.handle.net/10125/59693
Camilleri, M. A., & Falzon, L. (2021). Understanding motivations to use online streaming services: Integrating the technology acceptance model (TAM) and the uses and gratifications theory (UGT).Spanish Journal of Marketing-ESIC, 25(2), 217-238.
Charness, N., & Boot, W. R. (2009). Aging and information technology use: Potential and barriers. Current Directions in Psychological Science, 18(5), 253-258.
Chiu, C.-J., Tasi, W.-C., Yang, W.-L., & Guo, J.-L. (2019). How to help older adults learn new technology? Results from a multiple case research interviewing the internet technology instructors at the senior learning center. Computers & Education, 129, 61-70.
Clarke, H. (2022). Closing the gap in the elderly and digital divide.Engineering & Technology, 17(8), 1-5.
Dannefer, D. (2003). Cumulative advantage/disadvantage and the life course: Cross-fertilizing age and socialscience theory. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 58(6), S327-S337.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Fisk, A. D., Czaja, S. J., Rogers, W. A., Charness, N., & Sharit, J. (2020).Designing for older adults: Principles and creative human factors approaches (2nd ed.). CRC press.
Forsman, A. K., & Nordmyr, J. (2017). Psychosocial links between Internet use and mental health in later life: A systematic review of quantitative and qualitative evidence.Journal of Applied Gerontology, 36(12), 1471-1518.
Friemel, T. N. (2016). The digital divide has grown old: Determinants of a digital divide among seniors.New Media & Society, 18(2), 313-331.
Hajek, A., & König, H.-H. (2020). Which factors contribute to loneliness among older Europeans? Findings from the survey of health, ageing and retirement in Europe: Determinants of loneliness. Archives of Gerontology and Geriatrics, 89,104080.https://doi.org/10.1016/j.archger.2020.104080
Hamer, M., & Stamatakis, E. (2014). Prospective study of sedentary behavior, risk of depression, and cognitive impairment. Medicine and Science in Sports and Exercise, 46(4), 718-723.
Hargittai, E., & Dobransky, K. (2017). Old dogs, new clicks: Digital inequality in skills and uses among older adults.Canadian Journal of Communication, 42(2), 195-212.
Hunsaker, A., & Hargittai, E. (2018). A review of Internet use among older adults.New Media & Society, 20(10), 3937-3954.
Johnson, G., & Puplampu, K. (2008). A conceptual framework for understanding the effect of the Internet on child development: The ecological techno-subsystem.Canadian Journal of Learning and Technology, 34, 19-28.
Kamin, S. T., & Lang, F. R. (2020). Internet use and cognitive functioning in late adulthood: Longitudinal findings from the Survey of Health, Ageing and Retirement in Europe (SHARE). The Journals of Gerontology: Series B, 75(3), 534-539.
Khalaila, R., & Vitman-Schorr, A. (2018). Internet use, social networks, loneliness, and quality of life among adults aged 50 and older: Mediating and moderating effects. Quality of Life Research, 27, 479-489.
Klimova, B. (2016). Use of the Internet as a prevention tool against cognitive decline in normal aging.Clinical Interventions in Aging, 11, 1231-1237.
König, R., Seifert, A., & Doh, M. (2018).Internet use among older Europeans: An analysis based on SHARE data. Universal Access in the Information Society, 17(3), 621-633.
Lai, C. K., Chung, J. C., Leung, N. K., Wong, J. C., & Mak, D. P. (2010). A survey of older Hong Kong people's perceptions of telecommunication technologies and telecare devices.Journal of Telemedicine and Telecare, 16(8), 441-446.
Leung, L., & Wei, R. (2000). More than just talk on the move: Uses and gratifications of the cellular phone. Journalism & Mass Communication Quarterly, 77(2), 308-320.
Liu, J., Gu, R., Liao, C., Lu, J., Fang, Y., Xu, P., … Cui, F. (2020). The neural mechanism of the social framing effect: Evidence from fMRI and tDCS studies. Journal of Neuroscience, 40(18), 3646-3656.
Macdonald, B., & Hülür, G. (2021). Internet adoption in older adults: Findings from the Health and Retirement Study.Cyberpsychology, Behavior, and Social Networking, 24(2), 101-107.
Mariano, J., Marques, S., Ramos, M. R., & de Vries, H. (2021). Cognitive functioning mediates the relationship between self-perceptions of aging and computer use behavior in late adulthood: Evidence from two longitudinal studies.Computers in Human Behavior, 121, 106807. https://doi.org/10.1016/j.chb.2021.106807
Marler, W., & Hargittai, E. (2022). Division of digital labor: Partner support for technology use among older adults.New Media & Society, 14614448211068437.https://doi.org/10.1177/14614448211068437
Martín-García, A. V., Redolat, R., & Pinazo-Hernandis, S. (2022). Factors influencing intention to technological use in older adults. The TAM Model Aplication.Research on Aging, 44(7-8), 573-588.
McCord, A., Cocks, B., Barreiros, A. R., & Bizo, L. A. (2020). Short video game play improves executive function in the oldest old living in residential care. Computers in Human Behavior, 108, 106337. https://doi.org/10.1016/j.chb.2020.106337
Meng, J., Martinez, L., Holmstrom, A., Chung, M., & Cox, J. (2017). Research on social networking sites and social support from 2004 to 2015: A narrative review and directions for future research. Cyberpsychology, Behavior, and Social Networking, 20(1), 44-51.
Omar, B., & Dequan, W. (2020). Watch, share or create: The influence of personality traits and user motivation on TikTok mobile video usage. International Journal of Interactive Mobile Technologies, 14(4), 121-137.
Oh, S. J., Seo, S., Lee, J. H., Song, M. J., & Shin, M.-S. (2018). Effects of smartphone-based memory training for older adults with subjective memory complaints: A randomized controlled trial. Aging & Mental Health, 22(4), 526-534.
Peek, S. T., Wouters, E. J., Van Hoof, J., Luijkx, K. G., Boeije, H. R., & Vrijhoef, H. J. (2014). Factors influencingacceptance of technology for aging in place: A systematic review. International Journal of Medical Informatics, 83(4), 235-248.
Petrovčič, A., Taipale, S., Rogelj, A., & Dolničar, V. (2018). Design of mobile phones for older adults: An empirical analysis of design guidelines and checklists for feature phones and smartphones. International Journal of Human-Computer Interaction, 34(3), 251-264.
Pihlainen, K., Korjonen-Kuusipuro, K., & Kärnä, E. (2021). Perceived benefits from non-formal digital training sessions in later life: Views of older adult learners, peer tutors, and teachers. International Journal of Lifelong Education, 40(2), 155-169.
Roos, J. M., & Kazemi, A. (2022). The five factor model of personality as predictor of online shopping: Analyzing data from a large representative sample of Swedish internet users. Cogent Psychology, 9(1), 2024640. https://doi.org/10.1080/23311908.2021.2024640
Rus, H. M., & Cameron, L. D. (2016). Health communication in social media: Message features predicting user engagement on diabetes-related Facebook pages.Annals of Behavioral Medicine, 50(5), 678-689.
Sen, K., Prybutok, G., & Prybutok, V. (2022). The use of digital technology for social wellbeing reduces social isolation in older adults: A systematic review.SSM-population Health, 17, 101020. https://doi.org/10.1016/j.ssmph.2021.101020
Small, G. W., Moody, T. D., Siddarth, P., & Bookheimer, S. Y. (2009). Your brain on Google: Patterns of cerebral activation during internet searching. The American Journal of Geriatric Psychiatry, 17(2), 116-126.
Su, K. H., & Hyun, S. J. (2022). The influence of Digital Informatization Level, Self-efficacy, and Social Support on Digital Health Literacy in the Elderly with Cancer. Asian Oncology Nursing, 22(4), 255. https://doi.org/10.5388/aon.2022.22.4.255
Suler, J. R. (1999). To get what you need: Healthy and pathological Internet use.CyberPsychology & Behavior, 2(5), 385-393.
Szabo, A., Allen, J., Stephens, C., & Alpass, F. (2019).Longitudinal analysis of the relationship between purposes of internet use and well-being among older adults. The Gerontologist, 59(1), 58-68.
Tang, D., Jin, Y., Zhang, K., & Wang, D. (2022). Internet use, social networks, and loneliness among the older population in China. Frontiers in Psychology, 13, 895141. https://doi.org/10.3389/fpsyg.2022.895141
Ten Bruggencate, T., Luijkx, K. G., & Sturm, J. (2018).Social needs of older people: A systematic literature review. Ageing & Society, 38(9), 1745-1770.
Tsai, H.-y. S., Shillair, R., Cotten, S. R., Winstead, V., & Yost, E. (2015). Getting grandma online: Are tablets the answer for increasing digital inclusion for older adults in the US?Educational Gerontology, 41(10), 695-709.
Vahedi, Z., & Zannella, L. (2021). The association between self-reported depressive symptoms and the use of social networking sites (SNS): A meta-analysis. Current Psychology, 40, 2174-2189.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
Wagner, N., Hassanein, K., & Head, M. (2010). Computer use by older adults: A multi-disciplinary review.Computers in Human Behavior, 26(5), 870-882.
Wang, Y. (2019). The Use and Education of New Media on Chinese Urban Elderly. In 2019 International Joint Conference on Information, Media and Engineering (IJCIME) (pp. 294-299). IEEE.
Xiong, J., & Zuo, M. (2019). How does family support work when older adults obtain information from mobile internet? Information Technology & People, 32(6), 1496-1516.
Yang, C.-C., Yang, S.-Y., & Chang, Y.-C. (2023). Predicting Older Adults’ Mobile Payment Adoption: An Extended TAM Model.International Journal of Environmental Research and Public Health, 20(2), 1391. https://doi.org/10.3390/ijerph20021391
Yang, H.-L., & Lin, S.-L. (2019). The reasons why elderly mobile users adopt ubiquitous mobile social service.Computers in Human Behavior, 93, 62-75.
Yoon, H., Jang, Y., Kim, S., Speasmaker, A., & Nam, I. (2021). Trends in internet use among older adults in the United States, 2011-2016. Journal of Applied Gerontology, 40(5), 466-470.
Yu, K., Wu, S., & Chi, I. (2021). Internet use and loneliness of older adults over time: The mediating effect of social contact. The Journals of Gerontology: Series B, 76(3), 541-550.
Zhang, Y. (2022). Measuring and applying digital literacy: Implications for access for the elderly in rural China.Education and Information Technologies, 28, 9509-9528.
艾媒咨询. (2022). 2021年中老年群体触网行为研究报告. 2023-09-23 取自https://zhuanlan.zhihu.com/p/504832963?utm_id=0
陈雅赛, 杨艳, 余淑妮. (2022). “啃老”与“孝道”:青年与父母经济帮助关系中的数字反哺获得现象研究. 中国青年研究, (05), 77-84.
高锋剑, 陈有国, 刘培朵, 江竹, 黄希庭. (2017). 心理韧性、孤独感、自我效能感预测老年人主观幸福感的优势分析. 心理与行为研究, 15(02), 227-232+239.
黄晨熹. (2020). 老年数字鸿沟的现状、挑战及对策. 人民论坛(29), 126-128.
雷晓康, 陈泽鹏. (2023). 促进还是抑制:互联网使用对老年人主观幸福感的影响研究. 海南大学学报(人文社会科学版), 42(04), 58-68.
李月, 陆杰华, 成前, 顾大男. (2020). 我国老年人社会参与与抑郁的关系探究. 人口与发展, 26(03), 86-97.
李韵秋, 李斯. (2023). 子代教育水平、反哺途径与老年人数字接入鸿沟. 图书情报知识, 40(04), 62-71.
孟鸿兴, 梅志玲, 王晓庄, 徐晟. (2023). 网络社交媒体使用与老年人孤独感关系的元分析. 心理与行为研究, 21(02), 280-288.
牛更枫, 史晓涵, 田媛, 孙晓军, 雷玉菊. (2021). 社交网站使用与老年人抑郁:线上社会资本和孤独感的作用. 中国临床心理学杂志, 29(05), 1055-1059.
企鹅有调. (2021). 网络适老化改造受众调研报告:银发人群用网情况社会调查. 2023-09-23 取自https://m.thepaper.cn/baijiahao_14911808
Quest Mobile. (2021).银发经济洞察报告. 2021-12-07 取自https://www.questmobile.com.cn/research/report-new/183
盛曼玉, 王俊, 朱茜茜, 张鹏翼. (2023). 基于扎根理论的数字反哺机制探析——以子代的视角. 图书情报知识, 40(04), 52-61.
孙鹃娟. (2008). 北京市老年人精神生活满意度和幸福感及其影响因素. 中国老年学杂志, (03), 308-310.
唐丹, 张琨, 亓心茹. (2022). 互联网使用对老年人社会网络及孤独感的影响:基于用途的分析. 人口研究, 46(03), 88-101.
王杰. (2022). 数字产品适老化评估体系研究. 老龄科学研究, 10(04), 9-27.
武佳, 王永梅. (2021). 我国老年人互联网使用现状及影响因素研究——基于CGSS 2017年数据的分析. 老龄科学研究, 9(09), 43-58.
谢勇才, 周伊莎. (2022). 子女代际支持、孝顺期待与农村老年女性孤独感——基于2018年CLASS数据的实证分析. 社会保障研究(06), 26-37.
徐冉, 张宝山, 林瑶. (2021). 家人情感卷入对老年自我刻板印象的影响:基于潜变量增长模型的分析. 心理学报, 53(11), 1215-1227.
许肇然, 胡安安, 黄丽华. (2017). 国内外老年人互联网使用行为研究述评. 图书情报工作, 61(20), 140-148.
闫辰聿, 和红. (2023). 互联网应用程序使用对老年人心理健康的影响——以微信、短视频、影音和游戏为例. 人口学刊, 45(03), 78-89.
杨梦瑶, 李知一, 李黎明. (2022). 互联网使用与老年人的心理健康——基于两级数字不平等的视角. 人口与发展, 28(06), 132-147.
杨晓辉, 王腊梅, 朱莉琪. (2014). 电子媒体的使用与儿童发展——基于生态科技微系统理论的视角. 心理科学, 37(04), 920-924.
张驰, 向晶. (2023). 短视频对老年人生活质量的影响——基于社会网络视角. 西安交通大学学报(社会科学版), 1-15. https://kns.cnki.net/kcms/detail/61.1329.C.20230920.1844.002.html
朱震宇. (2023). 老年人数字鸿沟对心理健康的影响——基于CHARLS数据的实证分析. 兰州学刊, (08), 125-138.
中国互联网信息中心. (2022). 第49次中国互联网发展状况统计报告. 2022-03-14 取自http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/202202/P020220311493378715650.pdf
中国互联网信息中心. (2023). 第52次中国互联网发展状况统计报告. 2023-10-20 取自https://cnnic.cn/NMediaFile/2023/0908/MAIN1694151810549M3LV0UWOAV.pdf
中国人民大学人口与发展研究中心, 抖音. (2021). 从线上到线下:中老年人短视频使用情况调查报告. 2023-09-23 取自http://pdsc.ruc.edu.cn/docs//2023-03/470e9bd3932c4a64974fa393b49 685e6.pdf
中国社会科学院社会学研究所, 腾讯社会研究中心, 中国社会科学院国情调查与大数据研究中心. (2018). 中老年互联网生活研究报告. 2022-03-19 取自https://tengyun.tencent.com/storage/source180712/files/中老年互联网生活研究报告.pdf
[1] 赵沐恩, 韩布新, 王大华. 老年人身体健康与依恋长期性变化的联系:六年的追踪研究[J]. 心理发展与教育, 2025, 41(5): 663-674.
[2] 艾美杉, 刘玺, 王大华. 失独父母的社区支持现状及其与心理健康的关系[J]. 心理发展与教育, 2024, 40(5): 720-728.
[3] 刘啸莳, 曹中平, 俞俊杰, 莫碧波, 吴芸. 受教育水平能促进农村中老年人的身体健康吗?——安全感和年龄的作用[J]. 心理发展与教育, 2024, 40(5): 729-736.
[4] 余林伟, 李爽, 刘燊, 潘文沛, 徐强, 张林. 老年人模糊表情识别的积极效应及其机制[J]. 心理发展与教育, 2024, 40(2): 196-206.
[5] 张弘弛, 毛伟宾, 崔慧园, 安姝, 李庆元. 价值对老年人项目记忆和联结记忆的影响[J]. 心理发展与教育, 2023, 39(5): 625-634.
[6] 林瑶, 张宝山, 徐冉, 张何雅婷. 老年人睡眠质量与家人沟通质量的关系及其影响机制[J]. 心理发展与教育, 2023, 39(2): 200-209.
[7] 刘钰, 苏彦捷, 曹春梅, 丁宇, 樊煜. 社区老年人执行功能和加工速度与运动能力的关系[J]. 心理发展与教育, 2022, 38(6): 769-777.
[8] 郭滢, 肖红蕊, 龚先旻, 王大华. 情绪影响错误记忆认知机制的年龄差异[J]. 心理发展与教育, 2022, 38(1): 17-25.
[9] 刘聪慧, 董妍, 王鸿飞, 张登浩. 农村老年人的社会排斥体验与健康状况:有调节的中介作用[J]. 心理发展与教育, 2021, 37(5): 752-760.
[10] 林之萱, 杨莹, 寇彧. 老年人的元刻板印象及其对社会互动的影响[J]. 心理发展与教育, 2020, 36(6): 686-693.
[11] 辛素飞, 岳阳明, 辛自强. 1996至2016年中国老年人心理健康变迁的横断历史研究[J]. 心理发展与教育, 2020, 36(6): 753-761.
[12] 周玮, 洪紫静, 胡蓉蓉, 朱婷婷, 刘燊, 张林. 亲子支持与老年人抑郁情绪的关系:安全感和情绪表达的作用[J]. 心理发展与教育, 2020, 36(2): 249-256.
[13] 吴玉婷, 苑鑫, 王雨晴, 朱慧, 毛叶琳, 金灿灿. 广场舞组织氛围和老年人主观幸福感的关系:组织认同和自尊的中介作用[J]. 心理发展与教育, 2019, 35(5): 624-631.
[14] 牛玉柏, 郝泽生, 王任振, 洪芳. 老年人乐观、领悟社会支持与主观幸福感的关系—控制策略的中介作用[J]. 心理发展与教育, 2019, 35(2): 227-235.
[15] 魏华, 段海岑, 丁倩, 周宗奎. 百善孝为先?大学生双元孝道信念与网络成瘾的关系研究[J]. 心理发展与教育, 2019, 35(1): 40-47.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!