Are individuals with disabilities using wearable devices? A secondary data analysis of 2017 BRFSS.

IF 3.2 2区 物理与天体物理 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Physical Review B Pub Date : 2024-01-01 Epub Date: 2022-05-05 DOI:10.1080/17483107.2022.2071485
Willie Leung, Lu Shi, Jaehun Jung
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引用次数: 1

Abstract

Purpose: The study aims to investigate the prevalence of individuals with disabilities who reported using wearable devices, to examine the association between wearable device usage and disability status, and to determine the characteristic of individuals with disabilities associated with wearable device usage using the 2017 Behavioural Risk Factor Surveillance System (BRFSS) through secondary data analysis.

Materials and methods: Data from the 2017 BRFSS of eight states were used in the analysis. Descriptive analysis, chi-square analysis, and multivariable logistic regressions were performed. Subsample analyses were also conducted for individuals with disabilities and different types of disability, including visual impairments, hearing impairments, cognitive disability, independent living disability, self-care disability, and mobility disability on wearable device usage.

Results: 14.6% (95% CI [11.7, 17.5]) of participants with disabilities were wearable device users. Individuals with disabilities were .63 (95% CI [.48, .83], p < 0.001) and .67 (95% CI [.50, .90], p = 0.007) times the odds of individuals without disabilities in using wearable devices, respectively, according to unadjusted and adjusted logistic regression. Individuals with mobility disability were less likely to utilise wearable devices than their counterparts. Among individuals with disabilities, those who were age 65 years or older had a lower odds of using wearable devices (OR = .55, 95% CI [0.35, 0.85), p = 0.007).

Conclusion: Individuals with disabilities are using wearable devices in collecting various health-related information. Further research is needed to determine reasons why individuals with disabilities are not using wearable devices and how individuals with disabilities are using wearable devices.IMPLICATIONS FOR REHABILITATIONWearable devices can track various health-related information such as physical activity levels, sleep patterns, calories intakes, and chronic health conditions.Using nationally represent data, individuals with disabilities have access and utilise wearable devices in free living setting.Compare to individuals without disabilities, individuals with disabilities are less likely to utilise wearable devices in free living setting.Further research is needed to determine the accessibility of wearable devices for individuals with disabilities and its usage in rehabilitation setting.

残疾人是否在使用可穿戴设备?对 2017 年 BRFSS 的二次数据分析。
目的:本研究旨在调查报告使用可穿戴设备的残疾人的普遍程度,研究可穿戴设备的使用与残疾状况之间的关联,并通过二手数据分析,使用 2017 年行为风险因素监测系统(BRFSS)确定与可穿戴设备使用相关的残疾人特征:分析中使用了八个州的 2017 年 BRFSS 数据。进行了描述性分析、卡方分析和多变量逻辑回归。还针对残疾人和不同类型的残疾(包括视力障碍、听力障碍、认知障碍、独立生活障碍、自理障碍和行动障碍)对可穿戴设备的使用情况进行了子样本分析:14.6%(95% CI [11.7,17.5])的残疾参与者是可穿戴设备用户。根据未调整和调整后的逻辑回归,残疾人使用可穿戴设备的几率分别是非残疾人的 0.63 倍(95% CI [.48,.83],P = 0.007)。行动不便者使用可穿戴设备的几率比同类人低。在残疾人中,65 岁或以上的人使用可穿戴设备的几率较低(OR = .55,95% CI [0.35,0.85],p = 0.007):结论:残疾人正在使用可穿戴设备收集各种健康相关信息。需要进一步研究确定残疾人不使用可穿戴设备的原因,以及残疾人如何使用可穿戴设备。可穿戴设备可跟踪各种健康相关信息,如运动水平、睡眠模式、卡路里摄入量和慢性疾病。与非残疾人相比,残疾人在自由生活环境中使用可穿戴设备的可能性较低。需要开展进一步研究,以确定残疾人使用可穿戴设备的可及性及其在康复环境中的使用情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physical Review B
Physical Review B PHYSICS, CONDENSED MATTER-
CiteScore
6.30
自引率
32.40%
发文量
4177
期刊介绍: Physical Review B (PRB) is the world’s largest dedicated physics journal, publishing approximately 100 new, high-quality papers each week. The most highly cited journal in condensed matter physics, PRB provides outstanding depth and breadth of coverage, combined with unrivaled context and background for ongoing research by scientists worldwide. PRB covers the full range of condensed matter, materials physics, and related subfields, including: -Structure and phase transitions -Ferroelectrics and multiferroics -Disordered systems and alloys -Magnetism -Superconductivity -Electronic structure, photonics, and metamaterials -Semiconductors and mesoscopic systems -Surfaces, nanoscience, and two-dimensional materials -Topological states of matter
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