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巴基斯坦开伯尔-普赫图赫瓦省白沙瓦市穆斯林社区中老年居民跌倒相关风险因素评估。

Assessment of fall-associated risk factors in the Muslim community-dwelling older adults of Peshawar, Khyber Pakhtunkhwa, Pakistan.

机构信息

Institution of Nursing and Health Sciences, Zhengzhou University, Zhengzhou, Henan, China.

School of Nursing, Iqra National University, Peshawar, Khyber Pakhtunkhwa, Pakistan.

出版信息

BMC Geriatr. 2023 Oct 5;23(1):623. doi: 10.1186/s12877-023-04322-1.

Abstract

BACKGROUND

Falls are the third-leading cause of disability among the elderly population worldwide. It is multifactorial, and the occurrence of falls depends on different factors, which can be different from context to context, and individual to individual. Therefore, regular assessment of fall risk factors is required to develop a strategy for fall prevention. The study aimed to identify fall-related risk factors in Pakistani healthy older adults at risk of developing physical disabilities. It also aimed to create a risk-predictive model for fall occurrence, offering evidence for preventive strategies.

METHODS

Data were collected from 140 Muslim older adults from two residential areas of Peshawar, Khyber Pakhtunkhwa, from July 2022 to August 25, 2022, after obtaining permission from the Zhengzhou University Ethical Review Board (ZZUIRB #202,254), and the District Health Department Office (DHO #14,207). Participants were informed, and consent was obtained before data collection. Data were collected using the Time Up and Go Test (TUGT) checklist, the Cognitive Screening Scores (CS-10) checklist, interviews regarding the prayer practice, fall history in the last six months, visual equity questions, and demographic variables.

RESULTS

Factors associated with falls were; age, gender, education, cognitive status, poor walking speed, lack of physical activity, poor vision, and history of falls in the last six months, with a significant P value of (P. < 0.05) in the Pearson correlation coefficient test. Poor cognition, low visual equity, poor walking speed, and lack of exercise increase the risk of falling in the future, with a prediction value of (P < 0.005) in Omnibus, Lemeshow score of (0.77).

CONCLUSION

Hence, our study provides a road map for future risk assessment of falls by adding the four mentioned risk factors in the proposed model to facilitate timely action to prevent fall-related infirmities in Pakistani healthy older adults.

摘要

背景

全球范围内,跌倒位居老年人致残原因的第三位。跌倒具有多因素性,发生跌倒取决于不同的因素,这些因素在不同的情况下和个体之间可能存在差异。因此,需要定期评估跌倒风险因素,制定预防跌倒策略。本研究旨在识别巴基斯坦有发生身体残疾风险的健康老年人的跌倒相关风险因素,并创建一个预测跌倒发生的风险预测模型,为预防策略提供证据。

方法

于 2022 年 7 月至 2022 年 8 月 25 日,在获得郑州大学伦理审查委员会(ZZUIRB #202,254)和地区卫生部门办公室(DHO #14,207)的许可后,从巴基斯坦开伯尔-普赫图赫瓦省白沙瓦的两个住宅区收集了 140 名穆斯林老年人的数据。在收集数据之前,告知了参与者并获得了他们的同意。使用计时起立行走测试(TUGT)检查表、认知筛查评分(CS-10)检查表、关于祈祷实践的访谈、过去六个月的跌倒史、视觉公平性问题和人口统计学变量收集数据。

结果

与跌倒相关的因素有:年龄、性别、教育程度、认知状态、行走速度差、缺乏身体活动、视力差和过去六个月内的跌倒史,Pearson 相关系数检验的 P 值显著(P < 0.05)。认知能力差、低视力公平性、行走速度差和缺乏运动增加了未来跌倒的风险,在 Omnibus、Lemeshow 评分(0.77)中具有预测价值(P < 0.005)。

结论

因此,我们的研究通过在拟议模型中添加四个提到的风险因素,为未来的跌倒风险评估提供了路线图,以促进及时采取行动,预防巴基斯坦健康老年人与跌倒相关的虚弱。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9cd/10552376/7128200d4141/12877_2023_4322_Fig1_HTML.jpg

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