Interdisciplinary School of Health Sciences, Savitribai Phule Pune University, Pune, Maharashtra, India.
Gait Posture. 2021 Jul;88:16-21. doi: 10.1016/j.gaitpost.2021.04.043. Epub 2021 Apr 30.
An unstable gait pattern is an indicator of an increased risk of falls among older adults. Data on basic gait parameters is useful in the early identification of gait impairment. However, reference gait measurements are not available in low- and middle-income countries.
What are the normative reference values of gait parameters and do fall risk factors such as impaired balance, functional difficulty, and multimorbidity affect the gait patterns of older adults in India?
A cross-sectional data of 659 older adults were collected using a semi-structured schedule. Gait parameters were measured using wearable sensors. Descriptive statistics, independent t-test, and one-way ANCOVA were used to determine the significant difference (p < 0.05) in gait parameters across the risk factors.
A mean stride length of 123.00 ± 15.19 cm, stride velocity of 110.57 ± 17.57 cm/s, and a cadence of 106.14 ± 11.44 steps/minute were reported in the study. Functional difficulties and balance impairment were the two major risk factors that affected stride velocity, stride length, and cadence after adjusting for age and height. No difference in gait parameters was observed among participants with and without multimorbidity.
This study provides a baseline or reference values of various gait parameters measured on a large sample of population aged 60 and above from India. Assessment of gait patterns and associated risk factors in a clinical setup will help identify the older adults at risk of falls and reduce the enormous burden of fall injuries. Since gait parameters show a large variation across geographical regions, it is important to have region-specific reference values.
不稳定的步态模式是老年人跌倒风险增加的一个指标。基本步态参数的数据有助于早期识别步态障碍。然而,中低收入国家并没有参考步态测量值。
步态参数的正常参考值是多少?平衡受损、功能困难和多种疾病等跌倒风险因素是否会影响印度老年人的步态模式?
本研究采用横断面数据,使用半结构式日程表收集了 659 名老年人的数据。使用可穿戴传感器测量步态参数。使用描述性统计、独立 t 检验和单向方差分析来确定风险因素之间步态参数的显著差异(p < 0.05)。
研究报告的平均步长为 123.00 ± 15.19 cm,步速为 110.57 ± 17.57 cm/s,步频为 106.14 ± 11.44 步/分钟。在调整年龄和身高后,功能困难和平衡障碍是影响步速、步长和步频的两个主要风险因素。没有发现患有多种疾病的参与者与没有多种疾病的参与者在步态参数上有差异。
本研究提供了印度 60 岁及以上人群大量样本测量的各种步态参数的基线或参考值。在临床环境中评估步态模式和相关风险因素有助于识别有跌倒风险的老年人,并降低跌倒伤害的巨大负担。由于步态参数在不同地理区域存在很大差异,因此具有区域特异性的参考值非常重要。