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年龄与对慢性阻塞性肺疾病基于计步器的互联网介导身体活动干预的态度:二次分析

Age and Attitudes Towards an Internet-Mediated, Pedometer-Based Physical Activity Intervention for Chronic Obstructive Pulmonary Disease: Secondary Analysis.

作者信息

Robinson Stephanie A, Wan Emily S, Shimada Stephanie L, Richardson Caroline R, Moy Marilyn L

机构信息

Center for Healthcare Organization and Implementation Research, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, United States.

Boston University School of Medicine, Boston, MA, United States.

出版信息

JMIR Aging. 2020 Sep 9;3(2):e19527. doi: 10.2196/19527.

DOI:10.2196/19527
PMID:32902390
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7511871/
Abstract

BACKGROUND

Chronic obstructive pulmonary disease (COPD) is prevalent among older adults. Promoting physical activity and increasing exercise capacity are recommended for all individuals with COPD. Pulmonary rehabilitation is the standard of care to improve exercise capacity, although there are barriers that hinder accessibility. Technology has the potential to overcome some of these barriers, but it is unclear how aging adults with a chronic disease like COPD perceive technology-based platforms to support their disease self-management.

OBJECTIVE

Guided by the unified theory of acceptance and use of technology, the current retrospective secondary analysis explores if age moderates multiple factors that influence an individual with COPD's openness toward an internet-mediated, pedometer-based physical activity intervention.

METHODS

As part of an efficacy study, participants with COPD (N=59) were randomly assigned to use an internet-mediated, pedometer-based physical activity intervention for 12 weeks. At completion, they were asked about their experience with the intervention using a survey, including their performance expectancy and effort expectancy, facilitating conditions (ie, internet use frequency and ability), and use of the intervention technology. Logistic regression and general linear modeling examined the associations between age and these factors.

RESULTS

Participants ranged in age from 49 to 89 years (mean 68.66, SD 8.93). Disease severity was measured by forced expiratory volume in the first second percent predicted (mean 60.01, SD 20.86). Nearly all participants (54/59) believed the intervention was useful. Regarding effort expectancy, increasing age was associated with reporting that it was easy to find the time to engage in the intervention. Regarding facilitating conditions, approximately half of the participants believed the automated step count goals were too high (23/59) and many did not feel comfortable reaching their goals (22/59). The probability of these perceptions increased with age, even after accounting for disease severity. Age was not associated with other facilitating conditions or use of the technology.

CONCLUSIONS

Age does not influence performance expectancy or use of technology with an internet-mediated, pedometer-based physical activity intervention. Age is associated with certain expectations of effort and facilitating conditions. Consideration of age of the user is needed when personalizing step count goals and time needed to log in to the website.

TRIAL REGISTRATION

ClinicalTrials.gov NCT01772082; https://clinicaltrials.gov/ct2/show/NCT01772082.

摘要

背景

慢性阻塞性肺疾病(COPD)在老年人中普遍存在。建议所有慢性阻塞性肺疾病患者进行体育活动并提高运动能力。肺康复是提高运动能力的标准治疗方法,尽管存在阻碍其可及性的障碍。技术有潜力克服其中一些障碍,但尚不清楚患有慢性疾病(如COPD)的老年人如何看待基于技术的平台来支持他们的疾病自我管理。

目的

以技术接受与使用统一理论为指导,当前的回顾性二次分析探讨年龄是否会调节影响慢性阻塞性肺疾病患者对基于互联网的、计步器辅助的体育活动干预接受度的多个因素。

方法

作为一项疗效研究的一部分,慢性阻塞性肺疾病患者(N = 59)被随机分配使用基于互联网的、计步器辅助的体育活动干预措施,为期12周。结束时,通过一项调查询问他们对干预措施的体验,包括他们的绩效期望和努力期望、促进条件(即互联网使用频率和能力)以及干预技术的使用情况。逻辑回归和一般线性模型检验了年龄与这些因素之间的关联。

结果

参与者年龄在49岁至89岁之间(平均68.66岁,标准差8.93)。疾病严重程度通过第一秒用力呼气量占预计值的百分比来衡量(平均60.01,标准差20.86)。几乎所有参与者(54/59)都认为该干预措施有用。关于努力期望,年龄增长与报告易于找到时间参与干预相关。关于促进条件,大约一半的参与者认为自动计步目标过高(23/59),许多人对达到目标感到不自在(22/59)。即使在考虑疾病严重程度之后,这些认知的可能性也随着年龄增长而增加。年龄与其他促进条件或技术使用无关。

结论

年龄不会影响基于互联网的、计步器辅助的体育活动干预措施的绩效期望或技术使用。年龄与对努力和促进条件的某些期望相关。在个性化计步目标和登录网站所需时间时,需要考虑用户的年龄。

试验注册

ClinicalTrials.gov NCT01772082;https://clinicaltrials.gov/ct2/show/NCT01772082

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a084/7511871/8948b3730915/aging_v3i2e19527_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a084/7511871/84d9a811a0ee/aging_v3i2e19527_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a084/7511871/8948b3730915/aging_v3i2e19527_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a084/7511871/84d9a811a0ee/aging_v3i2e19527_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a084/7511871/8948b3730915/aging_v3i2e19527_fig2.jpg

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