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本文引用的文献

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A review on food recognition technology for health applications.关于用于健康应用的食物识别技术的综述。
Health Psychol Res. 2020 Dec 30;8(3):9297. doi: 10.4081/hpr.2020.9297.
2
A Report on Smoking Detection and Quitting Technologies.吸烟检测与戒烟技术报告
Int J Environ Res Public Health. 2020 Apr 10;17(7):2614. doi: 10.3390/ijerph17072614.
3
Development of a Smartphone Application for Dietary Self-Monitoring.一款用于饮食自我监测的智能手机应用程序的开发。
Front Nutr. 2019 Sep 23;6:149. doi: 10.3389/fnut.2019.00149. eCollection 2019.
4
More to gain: dietary energy density is related to smoking status in US adults.多有裨益:膳食能量密度与美国成年人的吸烟状况有关。
BMC Public Health. 2018 Apr 4;18(1):365. doi: 10.1186/s12889-018-5248-5.
5
The effectiveness of smoking cessation, physical activity/diet and alcohol reduction interventions delivered by mobile phones for the prevention of non-communicable diseases: A systematic review of randomised controlled trials.手机提供的戒烟、体育活动/饮食及减少饮酒干预措施对预防非传染性疾病的有效性:随机对照试验的系统评价
PLoS One. 2018 Jan 5;13(1):e0189801. doi: 10.1371/journal.pone.0189801. eCollection 2018.
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Use of a Mobile Application for Self-Monitoring Dietary Intake: Feasibility Test and an Intervention Study.使用移动应用程序进行饮食摄入自我监测:可行性测试与干预研究。
Nutrients. 2017 Jul 13;9(7):748. doi: 10.3390/nu9070748.
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Build a better mouse: directly-observed issues in computer use for adults with SMI.构建更好的鼠标:精神障碍成年人计算机使用中的直接观察问题。
Psychiatr Q. 2013 Mar;84(1):81-92. doi: 10.1007/s11126-012-9229-z.
8
Waist circumference and weight following smoking cessation in a general population: the Inter99 study.普通人群戒烟后的腰围与体重:Inter99研究
Prev Med. 2007 Apr;44(4):290-5. doi: 10.1016/j.ypmed.2006.11.015. Epub 2007 Jan 11.
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Patients' need for more counseling on diet, exercise, and smoking cessation: results from the National Ambulatory Medical Care Survey.患者对饮食、运动和戒烟方面更多咨询的需求:来自国家门诊医疗护理调查的结果。
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Effects of smoking and smoking cessation on dietary habits of a Swiss urban population.
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一款食物识别应用程序(FoodRec)的开发与用户评估:实验数据与定性分析

Development and User Evaluation of a Food-recognition app (FoodRec): Experimental Data and Qualitative Analysis.

作者信息

Battiato Sebastiano, Caponnetto Pasquale, Leotta Roberto, Marotta Giovanni, Midolo Alessandro, Ortis Alessandro, Polosa Riccardo

出版信息

Health Psychol Res. 2023 Feb 21;11:70401. doi: 10.52965/001c.70401. eCollection 2023.

DOI:10.52965/001c.70401
PMID:36844645
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9946798/
Abstract

BACKGROUND

different studies revealed strong correlation between smoking cessation and a worsening of the diet, whose consequence include loss of appetite, weight loss, etc.

OBJECTIVE

the objective of FoodRec project is to exploit technology to monitor the dietary habits of people during their smoke quitting process, catching relevant changes which can affect the patient health and the success of the process. This work was an uncontrolled pre-test post-test open pilot study in which an interdisciplinary group created an app for food recognition (FoodRec) to monitor their mood status and dietary habits during the test period.

METHODS

participants used the FoodRec App for two consecutive weeks for usability and suitability assessment. Tests included 149 smokers involved in a smoke quitting process, aged between 19 and 80. For the quantitative test, data were analyzed regarding users features, meals uploads, mood states and drink intakes. For the qualitative test, a user evaluation test of the app has been performed with four assignments being carried out on a group of 50 participants.

RESULTS

the App was perceived as extremely user-friendly and lightweight. It also turned out to be useful in the perception of users' dietary habits and helpful in relieving the stress of a food intake reduction process.

CONCLUSION

this work investigated the role and impact of the FoodRec App in a large international and multicultural context. The experience gained in the current study will be used to modify and refine the large international RCT protocol version of the app.

摘要

背景

不同研究表明戒烟与饮食恶化之间存在强相关性,其后果包括食欲不振、体重减轻等。

目的

FoodRec项目的目标是利用技术监测人们戒烟过程中的饮食习惯,捕捉可能影响患者健康和戒烟过程成功与否的相关变化。这项工作是一项非对照的前测后测开放性试点研究,一个跨学科团队开发了一款食物识别应用程序(FoodRec),以在测试期间监测他们的情绪状态和饮食习惯。

方法

参与者连续两周使用FoodRec应用程序进行可用性和适用性评估。测试纳入了149名年龄在19至80岁之间、正在进行戒烟的吸烟者。对于定量测试,分析了关于用户特征、上传的餐食、情绪状态和饮品摄入量的数据。对于定性测试,对一组50名参与者进行了四项任务的应用程序用户评估测试。

结果

该应用程序被认为极其用户友好且轻便。它在了解用户饮食习惯方面也很有用,并且有助于缓解减少食物摄入量过程中的压力。

结论

这项工作在一个大型国际多元文化背景下研究了FoodRec应用程序的作用和影响。当前研究中获得的经验将用于修改和完善该应用程序的大型国际随机对照试验方案版本。