Aalbers Teun, Baars Maria Ae, Qin Li, de Lange Annet, Kessels Roy Pc, Olde Rikkert Marcel Gm
Department of Geriatric Medicine, Radboud University Medical Center, Nijmegen, Netherlands.
JMIR Res Protoc. 2015 Nov 10;4(4):e130. doi: 10.2196/resprot.4468.
Internet-delivered intervention programs are an effective way of changing health behavior in an aging population. The same population has an increasing number of people with cognitive decline or cognitive impairments. Modifiable lifestyle risk factors such as physical activity, nutrition, smoking, alcohol consumption, sleep, and stress all influence the probability of developing neurodegenerative diseases such as Alzheimer's disease.
This study aims to answer two questions: (1) Is the use of a self-motivated, complex eHealth intervention effective in changing multiple health behaviors related to cognitive aging in Dutch adults in the work force, especially those aged 40 and over? and (2) Does this health behavior change result in healthier cognitive aging patterns and contribute to preventing or delaying future onset of neurodegenerative syndromes?
The Brain Aging Monitor study uses a quasi-experimental 2-year pre-posttest design. The Brain Aging Monitor is an online, self-motivated lifestyle intervention program. Recruitment is done both in medium to large organizations and in the Dutch general population over the age of 40. The main outcome measure is the relationship between lifestyle change and cognitive aging. The program uses different strategies and modalities such as Web content, email, online newsletters, and online games to aid its users in behavior change. To build self-regulatory skills, the Brain Aging Monitor offers its users goal-setting activities, skill-building activities, and self-monitoring.
Study results are expected to be published in early 2016.
This study will add to the body of evidence on the effectiveness of eHealth intervention programs with the combined use of state-of-the-art applied games and established behavior change techniques. This will lead to new insights on how to use behavior change techniques and theory in multidimensional lifestyle eHealth research, and how these techniques and theories apply when they are used in a setting where no professional back-end is available.
Nederlands Trial Register: NTR4144; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=4144 (Archived by WebCite at http://www.webcitation.org/6cZzwZSg3).
通过互联网提供的干预项目是改变老年人群健康行为的有效方式。该人群中认知能力下降或认知障碍的人数日益增多。可改变的生活方式风险因素,如体育活动、营养、吸烟、饮酒、睡眠和压力,都会影响患神经退行性疾病(如阿尔茨海默病)的可能性。
本研究旨在回答两个问题:(1)使用自我激励的、复杂的电子健康干预措施,对于改变荷兰在职成年人(尤其是40岁及以上人群)中与认知衰老相关的多种健康行为是否有效?(2)这种健康行为的改变是否会导致更健康的认知衰老模式,并有助于预防或延缓未来神经退行性综合征的发作?
脑老化监测研究采用了为期两年的准实验前后测试设计。脑老化监测是一个在线的、自我激励的生活方式干预项目。在中型到大型组织以及40岁以上的荷兰普通人群中进行招募。主要结局指标是生活方式改变与认知衰老之间的关系。该项目使用不同的策略和方式,如网络内容、电子邮件、在线时事通讯和在线游戏,以帮助用户改变行为。为了培养自我调节技能,脑老化监测为用户提供目标设定活动、技能培养活动和自我监测。
研究结果预计于2016年初发表。
本研究将为关于结合使用最先进的应用游戏和既定行为改变技术的电子健康干预项目有效性的证据库增添内容。这将为如何在多维生活方式电子健康研究中使用行为改变技术和理论,以及在没有专业后端支持的环境中使用这些技术和理论时它们如何应用带来新的见解。
荷兰试验注册库:NTR4144;http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=4144(由WebCite存档于http://www.webcitation.org/6cZzwZSg3)。