Quantified-self for obesity: Physical activity behaviour sensing to improve health outcomes from surgery for severe obesity

肥胖症的量化自我：体力活动行为感知可改善严重肥胖症手术的健康结果

• 批准号: EP/L023814/1
• 负责人: Ara Darzi
• 金额: $ 34.46万
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2014
• 资助国家: 英国
• 起止时间: 2014 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FL023814%2F1
• 关键词: Quantified; self; obesity; Physical; activity

It is widely assumed that physical activity affects weight loss outcomes for severely obese patients, but there is a scarcity of robust research on this subject. We propose to use smartphone sensors and advanced data mining techniques to conduct detailed investigations addressing this important question. The research participants will be obese people having bariatric (or weight-loss) surgery (e.g. gastric bypass), but our results will also benefit other people with weight problems and patients with other conditions where exercise is helpful.In England just over a quarter of adults were classified as obese in 2010. This group is more likely to suffer from a range of illnesses (e.g. type-2 diabetes) and to have a lower life expectancy. Surgery is recommended for those with severe and complex obesity that has not responded to other therapies, and is highly cost effective in achieving weight loss, overcoming associated illnesses and promoting longer term health. However long-term success is far from guaranteed, with up to 15% of gastric bypass and 50% of gastric band procedures being ultimately unsuccessful. Obese people often lead very sedentary lives, both before and after surgery. Research has shown that even small long-term increases in routine physical activity could be very significant for weight loss, so we are very interested in how we can motivate people to do that little bit more in their daily lives.Patients attending the Imperial Weight Centre (IWC) are reminded to exercise during their hospital visits, but what they ideally need is a personal trainer to encourage them every day. Recognising this, patients have asked us if there are any devices that can help, and so we began our research into how sensors and mobile phones can seamlessly track activity and deliver timely, personalised feedback and encouragement.IWC Patients have tried wristbands such as the Nike Fuelband - but despite initial enthusiasm the novelty soon wears off. These devices do not provide sufficiently detailed or meaningful information. Smartphone apps such as MyFitnessPal are also popular, but soon become tedious since users must log everything they eat or do: many trying them did not persevere for more than a few days. With the advent of new apps it is now possible to track physical activity effortlessly just by carrying around one's smartphone, using its inbuilt sensors. Data is processed in the "internet cloud" where it can be analysed by new software we are developing. These apps also produce a complete daily "storyline" detailing a user's travels, and the amount and type of activity at each location. Our pilot users have been delighted to be able to see their physical activity progress and said that they felt motivated to challenge themselves to do more each day.This project sets out to objectively monitor physical activites on a daily basis so that we can follow almost 1000 patients over protracted periods of time and throughout their weight loss journey. We will use advanced data mining tools to understand individual differences and responses to surgery in terms of physical activity and how these relate to weight loss and weight maintenance over time. We shall use our analysis and understanding of behaviour change methods to devise ways to encourage users to do better and thereby achieve longer and healthier lives. For example, individualised prompts could incorporate weather and location information to suggest suitable walks on fine days, support positive goal setting or inspire competition with other users. This project will pave the way for further behavioural studies, for example using emerging wearable-sensor technologies and should offer long-term benefits for obese people and others with many different types of health problems, where exercise helps - lifestyle recommendations and advice can be produced that will be more personalised and useful for individuals looking to optimise their health.

人们普遍认为，体育活动可以影响严重肥胖患者的减肥效果，但在这方面缺乏强有力的研究。我们建议使用智能手机传感器和先进的数据挖掘技术来进行详细的调查，以解决这个重要的问题。研究的参与者将是接受减肥（或减肥）手术（如胃旁路手术）的肥胖者，但我们的研究结果也将有益于其他有体重问题的人和其他有运动帮助的病人。2010年，英格兰有超过四分之一的成年人被列为肥胖。这一群体更有可能患上一系列疾病（如2型糖尿病），而且预期寿命较短。对于那些对其他疗法没有反应的严重和复杂肥胖患者，建议进行手术，并且在实现减肥，克服相关疾病和促进长期健康方面具有很高的成本效益。然而，长期成功远不能保证，高达15%的胃旁路手术和50%的胃束手术最终不成功。肥胖的人在手术前后经常久坐不动。研究表明，即使是长期增加少量的日常体育锻炼，对减肥也有很大的帮助，所以我们对如何激励人们在日常生活中多做一点体育锻炼非常感兴趣。在帝国体重中心（IWC）就诊的病人被提醒在医院就诊期间进行锻炼，但他们最需要的是一位私人教练，每天鼓励他们。认识到这一点后，患者询问我们是否有任何设备可以帮助他们，因此我们开始研究传感器和手机如何无缝跟踪活动，并提供及时、个性化的反馈和鼓励。IWC万国表的患者尝试过耐克Fuelband等腕带，但尽管最初热情高涨，但这种新鲜感很快就消失了。这些设备不能提供足够详细或有意义的信息。像MyFitnessPal这样的智能手机应用程序也很受欢迎，但很快就变得乏味了，因为用户必须记录他们吃的或做的每件事：许多尝试过的人坚持不了几天。随着新应用程序的出现，现在只需随身携带智能手机，使用内置传感器，就可以毫不费力地跟踪身体活动。数据在“互联网云”中处理，我们正在开发的新软件可以对其进行分析。这些应用程序还会生成一个完整的每日“故事线”，详细描述用户的旅行，以及每个地点的活动数量和类型。我们的试点用户很高兴能够看到他们的体育锻炼进展，并表示他们感到有动力挑战自己，每天做更多的运动。这个项目旨在客观地监测每天的身体活动，这样我们就可以在很长一段时间内跟踪近1000名患者，并在他们的减肥过程中进行跟踪。我们将使用先进的数据挖掘工具来了解个体差异和手术对身体活动的反应，以及这些与体重减轻和体重维持的关系。我们将利用我们对行为改变方法的分析和理解，设计各种方法，鼓励用户做得更好，从而实现更长寿、更健康的生活。例如，个性化提示可以包含天气和位置信息，以建议在晴朗的日子里散步，支持积极的目标设定或激发与其他用户的竞争。这个项目将为进一步的行为研究铺平道路，例如使用新兴的可穿戴传感器技术，应该为肥胖人群和其他有许多不同类型健康问题的人提供长期的好处，在运动的帮助下，生活方式的建议和建议可以产生，这将更加个性化，对那些希望优化自己健康的人有用。

项目成果

Additional file 1 of Tracking physical activity using smart phone apps: assessing the ability of a current app and systematically collecting patient recommendations for future development

使用智能手机应用程序跟踪身体活动的附加文件 1：评估当前应用程序的能力并系统地收集患者对未来开发的建议

• DOI: 10.6084/m9.figshare.11798031
• 发表时间: 2020
• 作者: J. Murphy

Additional file 2 of Tracking physical activity using smart phone apps: assessing the ability of a current app and systematically collecting patient recommendations for future development

使用智能手机应用程序跟踪身体活动的附加文件 2：评估当前应用程序的能力并系统地收集患者对未来开发的建议

• DOI: 10.6084/m9.figshare.11798040
• 发表时间: 2020
• 作者: J. Murphy