GRip Assessment for Protocol Enhancements (GRAPE) in Older Adults

老年人协议增强 GRip 评估 (GRAPE)

• 批准号: 10358902
• 负责人: Ryan McGrath
• 金额: $ 41.65万
• 依托单位: NORTH DAKOTA STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10358902
• 关键词: Academic Research Enhancement Awards; Accelerometer; Aging; Bilateral; Characteristics; Clinical; Clinical Research; Dementia; Development; Discriminant Analysis; Disease; Elderly; Environment; Fatigue; Future; Gait speed; Goals; Hand; Health; Individual; Intervention; Knee; Limb structure; Link; Logistic Models; Longevity; Measurement; Measures; Mission; Monitor; Morbidity - disease rate; Motor; Muscle function; National Institute on Aging; Outcome; Outcome Study; Participant; Pathway interactions; Physical Performance; Population; Principal Component Analysis; Process; Protocols documentation; Public Health; Research; Resistance; Risk; Testing; Translational Research; United States; Visit; Walking; Work; age related; body system; career; clinical practice; clinically relevant; digital; disability; grasp; improved; improved mobility; innovation; meter; neuromuscular; novel; novel strategies; preservation; prevent; prognostic value; research study; screening; undergraduate student

PROJECT SUMMARY/ABSTRACT Maximal handgrip strength (HGS) is considered a convenient and reliable measure of muscle function. Current protocols for assessing HGS focus exclusively on achieving maximal grip force; however, maximal strength is only a single characteristic of muscle function. Given that muscle function is multivariable, maximal HGS, as a measure of muscle function, could be incomplete. Other important aspects of muscle function such as bilateral coordination, explosiveness, submaximal force control, neuromuscular steadiness, strength asymmetry between limbs, and resistance to fatigue are overlooked in HGS assessments. Yet, deficiencies in each of these aspects are associated with health conditions linked to poor muscle function. Evaluating these additional aspects of muscle function, alongside maximal HGS, could improve how we conveniently assess muscle function and support the development of a new HGS protocol that could be utilized in clinical and translational research settings. This may aid in the discovery of processes that better predict age-related disability and disease, which will strengthen relevant screenings, better operationalize muscle function, and initiate opportunities for interventions to target specific characteristics of muscle function for successful aging. This work will advance how we assess muscle function by pursuing the following three specific aims: 1) evaluate the correlations of hand dominance and test-retest reliability for maximal HGS, bilateral HGS coordination, rate of HGS force development, submaximal HGS force control, neuromuscular HGS steadiness, HGS asymmetry, and HGS fatigability in older adults; 2) determine the multivariate relationships between maximal HGS, bilateral HGS coordination, rate of HGS force development, submaximal HGS force control, neuromuscular HGS steadiness, HGS asymmetry, and HGS fatigability to derive one or more HGS principal components in older adults; and 3) examine how maximal HGS, bilateral HGS coordination, rate of HGS force development, submaximal HGS force control, neuromuscular HGS steadiness, HGS asymmetry, and HGS fatigability are associated with knee extension strength, timed-up-and-go, short physical performance battery, gait speed, and 400-meter walk in older adults. Each HGS measure will be collected with digital handgrip dynamometers and accelerometers. Participants will also complete physical performance measurements to determine the study outcomes. This work has the potential to fundamentally transform clinical practice by better identifying the onset and progression of the disabling process with a new muscle function assessment. Our contribution is innovative because it could reveal that other characteristics of muscle function, when examined in HGS protocols, may not be related to maximal HGS and thereby could be more robustly associated with clinically relevant health outcomes. Ultimately, this research could improve the prognostic utility of muscle function assessments in clinical and translational research settings for preventing age-related disability and disease.

项目摘要/摘要 最大握力(HGS)被认为是一种方便可靠的肌肉功能测量方法。当前 评估HGS的方案只关注达到最大握力；然而，最大力量是 肌肉功能只有一个特征。假设肌肉功能是多变量的，最大HGS，如 肌肉功能的测量，可能是不完整的。肌肉功能的其他重要方面，如双侧 协调性、爆炸性、次极力控制、神经肌肉稳定性、力量不对称 在HGS评估中忽略了四肢之间的相互作用和抗疲劳能力。然而，每一个方面的不足之处 这些方面与肌肉功能不佳的健康状况有关。评估这些附加内容 肌肉功能的各个方面，加上最大的HGS，可以改善我们方便地评估肌肉的方式 发挥作用并支持开发可用于临床和翻译的新HGS方案 研究设置。这可能有助于发现更好地预测与年龄相关的残疾和 疾病，将加强相关筛查，更好地实施肌肉功能，并启动 为成功衰老提供针对特定肌肉功能特征的干预机会。这 这项工作将通过追求以下三个具体目标来推进我们评估肌肉功能的方式：1)评估 手优势与最大HGS、双侧HGS协调率重测信度的相关研究 HGS力发展、次最大HGS力控制、神经肌肉HGS稳定性、HGS不对称性、 和老年人的HGS疲劳性；2)确定最大HGS、双侧HGS和HGS之间的多变量关系 HGS协调，HGS力量发展速度，次极力控制，神经肌肉HGS 稳定性、HGS不对称性和HGS疲劳性在老年人中派生一个或多个HGS主成分 以及3)检查最大HGS、双边HGS协调、HGS力量发育速度、 次最大HGS力控制、神经肌肉HGS稳定性、HGS不对称性和HGS疲劳性 与膝关节伸展力量、定时起跳、短体能电池、步态速度和 老年人步行400米。每一次HGS测量都将使用数字手柄测功器和 加速计。参与者还将完成身体表现测量，以确定研究 结果。这项工作有可能通过更好地识别 通过新的肌肉功能评估，残疾过程的开始和进展。我们的贡献是 创新是因为当在HGS检查时，它可以揭示肌肉功能的其他特征 方案可能与最大HGS无关，因此可能与临床更密切相关 相关的健康结果。最终，这项研究可以提高肌肉功能预测的实用性。 临床和转化性研究环境中预防年龄相关残疾和疾病的评估。