老年人跌倒防控研究热点及发展趋势的可视化分析

doi:10.3761/j.issn.2096-7446.2025.07.020

摘要/Abstract

摘要：

目的分析老年人跌倒防控的研究热点及发展趋势，为医护人员开展有效预防和干预提供参考。方法系统检索中国知网数据库中老年人跌倒防控相关文献，检索时限为2014年6月1日—2024年6月1日，采用CiteSpace 6.3.1软件进行文献计量学分析。结果共纳入文献1 406篇，整体发文量呈上升趋势。研究热点集中于跌倒风险因素、跌倒检测技术、跌倒恐惧和跌倒干预等方面；研究形成了8个聚类，分别为效度、老年、跌倒检测、危险因素、跌倒恐惧、跌倒风险、平衡能力和伤害；未来研究将聚焦于技术驱动的个性化预防、多学科合作与社区参与，推动精准干预策略的综合发展。结论老年人跌倒防控相关研究呈增长趋势，未来需进一步加强研究机构间合作，推动跨学科交流，深入探讨老年人跌倒个性化预防策略和智能化技术的应用，以提升老年人跌倒防控的科学性和有效性。

关键词: 老年人, 跌倒, 研究热点, 可视化分析, 护理

Abstract:

Objective To analyze the research hotspots and development trends of fall prevention and control among the elderly，providing references for healthcare professionals to implement effective prevention and intervention strategies. Methods A systematic search was conducted for relevant literature on fall prevention and control among the elderly in CNKI database，covering the time frame from June 1，2014，to June 1，2024. Bibliometric analysis was performed using CiteSpace 6.3.1 software. Results A total of 1，406 articles were included，showing an overall upward trend in publication volume. Keyword co-occurrence analysis revealed that research hotspots were concentrated in areas such as fall risk factors，fall detection technologies，fear of falling，and fall interventions. The research has formed eight clusters，including validity，elderly，fall detection，risk factors，fear of falling，fall risk，balance ability，and injuries. Keyword burst analysis indicated that future research would focus on technology-driven personalized prevention，interdisciplinary collaboration，and community involvement，promoting the comprehensive development of precise intervention strategies. Conclusion Research on fall prevention and control among the elderly has been expanding. In the future，it is necessary to further strengthen collaboration among research institutions，foster interdisciplinary communication，and advance personalized fall prevention strategies alongside intelligent technologies，in order to enhance the scientific and effective prevention and control of falls in the elderly.

Key words: Aged, Falls, Research Hotspots, Visual Analysis, Nursing Care

周春霞, 田萌, 吴丽贞, 李倩. 老年人跌倒防控研究热点及发展趋势的可视化分析[J]. 中华急危重症护理杂志, 2025, 6(7): 879-884.

ZHOU Chunxia, TIAN Meng, WU Lizhen, LI Qian. A visualized analysis of research hotspots and development trend on fall prevention and control in older adults[J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(7): 879-884.

图/表 7

图1

图2

图3

表1

图4

图5

图6

参考文献 30

[1]	Organization WH. Falls fact sheet[EB/OL].(2021-04-26) [2023-02-20]. https://www.who.int/en/news-room/fact-sheets/detail/falls.
[2]	杨欣, 姚梅琪, 张玉萍, 等. 住院老年患者跌倒风险与风险感知的差异性研究[J]. 中华护理杂志, 2023, 58(19):2326-2332. doi: 10.3761/j.issn.0254-1769.2023.019.003
	Yang X, Yao MQ, Zhang YP, et al. Differences between fall risk and fall risk perception among hospitalized elderly patients[J]. Chin J Nurs, 2023, 58(19):2326-2332. doi: 10.3761/j.issn.0254-1769.2023.019.003
[3]	张继娜, 马媛媛, 李冰雪, 等. 中国老年人意外跌倒死亡趋势分析及预测[J]. 中华创伤杂志, 2023, 39(8):737-743.
	Zhang JN, Ma YY, Li BX, et al. Trend analysis and prediction of accidental fall-related mortality among the elderly in China[J]. Chin J Trauma, 2023, 39(8):737-743.
[4]	新华社. 中共中央国务院印发《“健康中国2030”规划纲要》[J]. 中华人民共和国国务院公报, 2016(32):5-20.
	Xinhua News Agency. The State Council issued the Outline of Healthy China 2030[J]. Gaz State Counc People’s Repub China, 2016(32):5-20.
[5]	薛会元, 司晓娜, 张芬. 基于CiteSpace的国内跌倒评估量表相关研究的可视化分析[J]. 内蒙古医学杂志, 2023, 55(12):1480-1486.
	Xue HY, Si XN, Zhang F. Visual analysis of related studies of the domestic fall assessment scale based on CiteSpace[J]. Inn Mong Med J, 2023, 55(12):1480-1486.
[6]	李超, 席明霞, 刘洋, 等. 基于CiteSpace的国内跌倒恐惧研究的可视化分析[J]. 当代护士(中旬刊), 2024, 31(4):1-7.
	Li C, Xi MX, Liu Y, et al. Visual analysis of domestic fall fear research based on CiteSpace[J]. Mod Nurse, 2024, 31(4):1-7.
[7]	贺小军, 董良, 申毅锋, 等. 基于CiteSpace的迟发性性腺功能减退症的知识图谱可视化分析[J]. 中国老年学杂志, 2024, 44(14):3414-3420.
	He XJ, Dong L, Shen YF, et al. Visual analysis of knowledge map in delayed hypogonadism based on CiteSpace[J]. Chin J Ge-rontol, 2024, 44(14):3414-3420.
[8]	陈悦, 陈超美, 刘则渊, 等. CiteSpace知识图谱的方法论功能[J]. 科学学研究, 2015, 33(2):242-253.
	Chen Y, Chen CM, Liu ZY, et al. The methodology function of CiteSpace mapping knowledge domains[J]. Stud Sci Sci, 2015, 33(2):242-253.
[9]	齐虹, 闫静璇. 基于知识图谱的我国信息行为研究态势分析[J]. 现代情报, 2018, 38(5):131-139. doi: 10.3969/j.issn.1008-0821.2018.05.021
	Qi H, Yan JX. Analysis of information behavior research situation in China based on knowledge map[J]. J Mod Inf, 2018, 38(5):131-139.
[10]	Bursiek AA, Hopkins MR, Breitkopf DM, et al. Use of high-fidelity simulation to enhance interdisciplinary collaboration and reduce patient falls[J]. J Patient Saf, 2020, 16(3):245-250. doi: 10.1097/PTS.0000000000000277 pmid: 28272294
[11]	Huang LS, Turner J, Brandt NJ. Interdisciplinary collaboration in medication-related falls prevention in older adults[J]. J Ge-rontol Nurs, 2018, 44(4):11-15.
[12]	赵耀东, 王海波, 丁宏. 合肥市农村老年人跌倒现状及影响因素分析[J]. 南京医科大学学报(社会科学版), 2024, 24(3):236-242.
	Zhao YD, Wang HB, Ding H. Analysis of the status quo and influencing factors of the fall of rural older adults in Hefei City[J]. J Nanjing Med Univ(Soc Sci), 2024, 24(3):236-242.
[13]	鲁朝玉, 谢军, 余其贵. 人体平衡能力检测与衰弱指数在老年患者跌倒风险评估中的应用[J]. 当代临床医刊, 2022, 35(2):23-24.
	Lu ZY, Xie J, Yu QG. The application of human balance ability detection and frailty index in fall risk assessment of elderly patients[J]. J Contemp Clin Med, 2022, 35(2):23-24.
[14]	Lim SK, Kong SG. Prevalence, physical characteristics,and fall risk in older adults with and without possible sarcopenia[J]. Aging Clin Exp Res, 2022, 34(6):1365-1371.
[15]	孙璐, 钟娟平, 牛雪庭, 等. 老年肌少症病人跌倒风险的研究进展[J]. 全科护理, 2024, 22(3):431-435.
	Sun L, Zhong JP, Niu XT, et al. Research progress of fall risk in elderly patients with sarcopenia[J]. Chin Gen Pract Nurs, 2024, 22(3):431-435.
[16]	周志庆, 刘欢, 陈梦奇, 等. 老年住院患者跌倒影响因素及风险列线图模型的构建[J]. 济宁医学院学报, 2024, 47(4):295-299.
	Zhou ZQ, Liu H, Chen MQ, et al. Construction of a nomogram model for fall influencing factors and risk in elderly inpatients[J]. J Jining Med Univ, 2024, 47(4):295-299.
[17]	Montero-Odasso M, van der Velde N, Martin FC, et al. World guidelines for falls prevention and management for older adults:a global initiative[J]. Age Ageing, 2022, 51(9):afac205.
[18]	蔡敏雅, 秦会斌. 老年人跌倒检测系统及其检测方法的研究进展[J]. 传感器与微系统, 2024, 43(2):7-11,16.
	Cai MY, Qin HB. Research progress of elderly fall detection systems and its detection methods[J]. Transducer Microsyst Te-chnol, 2024, 43(2):7-11,16.
[19]	段鹏松, 刁宪广, 张大龙, 等. WiCare:一种非接触式的老人如厕跌倒监测模型[J]. 计算机科学, 2024, 51(S1):763-770.
	Duan PS, Diao XG, Zhang DL, et al. WiCare:A non-contact toilet fall monitoring model for the elderly[J]. Comput Sci, 2024, 51(S1):763-770.
[20]	刘永飞. 基于STM32的老年人健康监测与跌倒定位报警系统设计[J]. 仪表技术, 2024(3):29-32,54.
	Liu YF. Design on elderly health monitoring and fall loca-tion alarm system based on STM32[J]. Instrum Technol, 2024(3):29-32,54.
[21]	代金鑫, 于灵奇, 何亮, 等. 基于ADXL345的人体跌倒监测装置的设计[J]. 电子制作, 2022, 30(23):11-14.
	Dai JX, Yu LQ, He L, et al. Design of human fall monitoring device based on ADXL345[J]. Pract Electron, 2022, 30(23):11-14.
[22]	Usmani S, Saboor A, Haris M, et al. Latest research trends in fall detection and prevention using machine learning:a sys-tematic review[J]. Sensors, 2021, 21(15):5134.
[23]	Jacobsohn GC, Leaf M, Liao F, et al. Collaborative design and implementation of a clinical decision support system for automated fall-risk identification and referrals in emergency departments[J]. Healthcare, 2022, 10(1):100598.
[24]	Tinetti ME, Powell L. Fear of falling and low self-efficacy:a case of dependence in elderly persons[J]. J Gerontol, 1993,48 Spec No:35-38.
[25]	Dolan H, Pool N. The meaning of experiencing fear of falling among older adults[J]. Innov Aging, 2022, 6(Supplement_1):865-866.
[26]	Merchant RA, Chen MZ, Wong BLL, et al. Relationship bet-ween fear of falling,fear-related activity restriction,frailty,and sarcopenia[J]. J Am Geriatr Soc, 2020, 68(11):2602-2608.
[27]	Kim HJ, Yentes J, Venema D, et al. Fear of falling is related to anxiety[J]. Innov Aging, 2022, 6(Supplement_1):490.
[28]	Chua CHM, Jiang Y, Lim S, et al. Effectiveness of cognitive behaviour therapy-based multicomponent interventions on fear of falling among community-dwelling older adults:A systema-tic review and meta-analysis[J]. J Adv Nurs, 2019, 75(12):3299-3315.
[29]	Feng CY, Adebero T, DePaul VG, et al. A systematic review and meta-analysis of exercise interventions and use of exercise principles to reduce fear of falling in community-dwelling older adults[J]. Phys Ther, 2022, 102(1):pzab236.
[30]	Hogan Quigley B, Renz SM, Bradway C. Fall prevention and injury reduction utilizing virtual sitters in hospitalized patients:a literature review[J]. Comput Inform Nurs, 2021, 39(12):929-934. doi: 10.1097/CIN.0000000000000773 pmid: 34050057