老年人群隐匿性衰弱的风险识别与个体化护理策略
Risk Identification and Individualized Nursing Strategies for Latent Frailty in the Elderly Population
摘要: 随着全球人口老龄化的加剧,隐匿性衰弱作为老年人群介于健康与失能之间的亚临床状态,因症状隐匿易被误判为自然老化,导致干预延误,已成为老年医学与公共卫生领域的重点议题。其由生物–心理–社会多维度因素交互引发,包括慢性疾病累积、营养不良、体力活动不足、抑郁情绪及社会支持缺失等,显著增加老年个体失能、住院及死亡风险,加重医疗照护负担。本研究通过文献综述法与实证分析法,系统梳理隐匿性衰弱的理论基础、核心特征及发展机制,结合典型案例剖析其表现形式与影响路径,明确女性、低教育水平及社会孤立群体为高危人群,规律中高强度体力活动、良好睡眠质量与健全社会支持具保护效应。同时发现,基于累积缺陷模型的衰弱指数(FI)和Fried衰弱表型等评估工具预测价值较高,但基层标准化应用不足。研究提出构建“生理指标 + 心理评估 + 社会功能”的动态预警体系,倡导以多组分运动、营养干预和心理支持为核心的跨学科个体化护理模式,为老年健康管理从“疾病治疗”向“功能维护”转型提供依据,对推进健康老龄化、优化医疗资源配置具有重要意义。
Abstract: With the intensification of global population aging, latent frailty, as a subclinical state between health and disability among the elderly, is easily misjudged as natural aging due to its concealed symptoms, leading to delayed intervention. It has become a key issue in the fields of geriatrics and public health. It is triggered by the interaction of multi-dimensional factors such as biological, psychological and social ones, including the accumulation of chronic diseases, malnutrition, insufficient physical activity, depressive mood and lack of social support, significantly increasing the risk of disability, hospitalization and death in elderly individuals, and adding to the burden of medical care. This study, through literature review and empirical analysis methods, systematically sorts out the theoretical basis, core characteristics and development mechanism of latent frailty. It analyzes its manifestations and influence paths in combination with typical cases, and clarifies that women, those with low education levels and socially isolated groups are high-risk groups. Regular moderate to high-intensity physical activity, good sleep quality and sound social support have protective effects. It was also found that assessment tools such as the frailty index (FI) based on the cumulative defect model and the Fried frailty phenotype have relatively high predictive value, but their standardized application at the grassroots level is insufficient. The research proposes to build a dynamic early warning system of “physiological indicators + psychological assessment + social functions”, and advocates a cross-disciplinary individualized nursing model centered on multi-component exercise, nutritional intervention and psychological support, providing a basis for the transformation of elderly health management from “disease treatment” to “function maintenance”, which is of great significance for promoting healthy aging and optimizing the allocation of medical resources.
文章引用:王容, 王超, 刘莹, 白柳, 文薇. 老年人群隐匿性衰弱的风险识别与个体化护理策略[J]. 护理学, 2025, 14(11): 2174-2180. https://doi.org/10.12677/ns.2025.1411290

参考文献

[1] 郭凯林, 王世强, 李丹, 等. 我国老年人衰弱的发展轨迹: 基于潜变量增长模型的分析[J]. 中国全科医学, 2022, 25(6): 678-683.
[2] 薛梦婷, 姜荣荣, 徐桂华, 等. 老年人衰弱的研究进展[J]. 中国老年学杂志, 2021, 41(8): 1825-1829.
[3] 任燕, 杨永学, 陈善萍, 等. 基于累积缺陷原则构建的衰弱指数及其应用[J]. 中华老年多器官疾病杂志, 2024, 23(3): 212-216.
[4] 王世强, 胥祉涵, 王一杰, 等. 健康老龄化的挑战——衰弱: 概念框架、风险评估及体力活动干预研究[J]. 中国体育科技, 2022, 58(1): 35-42.
[5] 王石坤, 陈希晨, 潘慧, 等. 老年人对衰弱认知和体验质性研究的Meta整合[J]. 老年医学研究, 2024, 5(1): 12-17.
[6] 冯青青, 边萌, 杜毓锋. 社区老年人衰弱情况及其影响因素研究[J]. 中国全科医学, 2021, 24(24): 3065-3070.
[7] Kwak, D., Thompson, V., 左鲁玉, 等. 衰弱的过去、现在与未来[J]. 成都体育学院学报, 2021, 47(3): 112-118.
[8] 刘盼, 马丽娜. 老年衰弱综合征的综合管理[J]. 中国临床保健杂志, 2023, 26(1): 118-122.
[9] 王琴, 代雪梅, 刘嘉琳, 等. 中国社区老年人衰弱发病及影响因素分析[J]. 南方医科大学学报, 2021, 41(11): 1698-1704.
[10] 杨正霞, 罗彩凤, 迟晨汝, 等. 老年住院患者衰弱现状及影响因素分析[J]. 皖南医学院学报, 2023(2): 177-180.
[11] 张莉. 大学生隐匿性心理危机动态预警机制研究[J]. 山西青年, 2024(17): 12-14.
[12] 黄铮, 邵庭芳, 梁冉, 等. 老年人社会衰弱的概念分析[J]. 中华护理教育, 2023, 20(6): 545-549.
[13] 冯静宜, 张雪芳, 周雪迎, 等. 老年衰弱患者真实体验质性研究的Meta整合[J]. 中华护理杂志, 2023, 58(23): 2865-2871.
[14] 段丹, 陈茂君, 崔文耀. 神经系统疾病患者合并衰弱的研究进展[J]. 护理学报, 2021, 28(20): 32-36.
[15] 曹成霖, 吴新春, 纪凯, 等. 老年衰弱研究进展[J]. 中国临床保健杂志, 2023, 26(2): 285-290.