Protocol of a parallel, randomized controlled trial on the effects of a novel personalized nutrition approach by artificial intelligence in real world scenario

被引:6
作者
Feng, Jingyuan [1 ]
Liu, Hongwei [1 ]
Mai, Shupeng [2 ]
Su, Jin [2 ]
Sun, Jing [3 ]
Zhou, Jianjie [4 ]
Zhang, Yingyao [4 ]
Wang, Yinyi [5 ]
Wu, Fan [1 ]
Zheng, Guangyong [6 ]
Zhu, Zhenni [2 ]
机构
[1] Fudan Univ, Sch Publ Hlth, Shanghai, Peoples R China
[2] Shanghai Municipal Ctr Dis Control & Prevent, Div Hlth Risk Factors Monitoring & Control, Shanghai, Peoples R China
[3] Natl Inst Nutr & Hlth, Chinese Ctr Dis Control & Prevent, Beijing, Peoples R China
[4] Basebit Shanghai Informat Technol Co Ltd, Shanghai, Peoples R China
[5] NYU, Steinhardt Sch Culture, Dept Nutr & Food Sci Educ & Human Dev, New York, NY USA
[6] Shanghai Univ Tradit Chinese Med, Inst Interdisciplinary Integrat Med Res, Shanghai, Peoples R China
关键词
Personalized nutrition; Nutrition intervention; Artificial intelligence; Smartphone applet; Real world;
D O I
10.1186/s12889-023-16434-9
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundNutrition service needs are huge in China. Previous studies indicated that personalized nutrition (PN) interventions were effective. The aim of the present study is to identify the effectiveness and feasibility of a novel PN approach supported by artificial intelligence (AI).MethodsThis study is a two-arm parallel, randomized, controlled trial in real world scenario. The participants will be enrolled among who consume lunch at a staff canteen. In Phase I, a total of 170 eligible participants will be assigned to either intervention or control group on 1:1 ratio. The intervention group will be instructed to use the smartphone applet to record their lunches and reach the real-time AI-based information of dish nutrition evaluation and PN evaluation after meal consumption for 3 months. The control group will receive no nutrition information but be asked to record their lunches though the applet. Dietary pattern, body weight or blood pressure optimizing is expected after the intervention. In phase II, the applet will be free to all the diners (about 800) at the study canteen for another one year. Who use the applet at least 2 days per week will be regarded as the intervention group while the others will be the control group. Body metabolism normalization is expected after this period. Generalized linear mixed models will be used to identify the dietary, anthropometric and metabolic changes.DiscussionThis novel approach will provide real-time AI-based dish nutrition evaluation and PN evaluation after meal consumption in order to assist users with nutrition information to make wise food choice. This study is designed under a real-life scenario which facilitates translating the trial intervention into real-world practice.Trial registrationThis trial has been registered with the Chinese Clinical Trial Registry (ChiCTR2100051771; date registered: 03/10/2021).
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页数:9
相关论文
共 32 条
[1]   Health effects of dietary risks in 195 countries, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017 [J].
Afshin, Ashkan ;
Sur, Patrick John ;
Fay, Kairsten A. ;
Cornaby, Leslie ;
Ferrara, Giannina ;
Salama, Joseph S. ;
Mullany, Erin C. ;
Abate, Kalkidan Hassen ;
Abbafati, Cristiana ;
Abebe, Zegeye ;
Afarideh, Mohsen ;
Aggarwal, Anju ;
Agrawal, Sutapa ;
Akinyemiju, Tomi ;
Alahdab, Fares ;
Bacha, Umar ;
Bachman, Victoria F. ;
Badali, Hamid ;
Badawi, Alaa ;
Bensenor, Isabela M. ;
Bernabe, Eduardo ;
Biryukov, Stan H. ;
Biadgilign, Sibhatu Kassa K. ;
Cahill, Leah E. ;
Carrero, Juan J. ;
Cercy, Kelly M. ;
Dandona, Lalit ;
Dandona, Rakhi ;
Anh Kim Dang ;
Degefa, Meaza Girma ;
Zaki, Maysaa El Sayed ;
Esteghamati, Alireza ;
Esteghamati, Sadaf ;
Fanzo, Jessica ;
Farinha, Carla Sofia E. Sa ;
Farvid, Maryam S. ;
Farzadfar, Farshad ;
Feigin, Valery L. ;
Fernandes, Joao C. ;
Flor, Luisa Sorio ;
Foigt, Nataliya A. ;
Forouzanfar, Mohammad H. ;
Ganji, Morsaleh ;
Geleijnse, Johanna M. ;
Gillum, Richard F. ;
Goulart, Alessandra C. ;
Grosso, Giuseppe ;
Guessous, Idris ;
Hamidi, Samer ;
Hankey, Graeme J. .
LANCET, 2019, 393 (10184) :1958-1972
[2]   Toward the Definition of Personalized Nutrition: A Proposal by The American Nutrition Association [J].
Bush, Corinne L. ;
Blumberg, Jeffrey B. ;
El-Sohemy, Ahmed ;
Minich, Deanna M. ;
Ordovas, Jose M. ;
Reed, Dana G. ;
Behm, Victoria A. Yunez .
JOURNAL OF THE AMERICAN COLLEGE OF NUTRITION, 2020, 39 (01) :5-15
[3]   Physical Activity Levels to Estimate the Energy Requirement of Adolescent Athletes [J].
Carlsohn, Anja ;
Scharhag-Rosenberger, Friederike ;
Cassel, Michael ;
Weber, Josefine ;
Guzman, Annette de Guzman ;
Mayer, Frank .
PEDIATRIC EXERCISE SCIENCE, 2011, 23 (02) :261-269
[4]   The dynamic sustainability framework: addressing the paradox of sustainment amid ongoing change [J].
Chambers, David A. ;
Glasgow, Russell E. ;
Stange, Kurt C. .
IMPLEMENTATION SCIENCE, 2013, 8
[5]  
Chinese Nutrition Society, 2014, CHIN DIET REF INT HD
[6]   Nutrition Policy and Healthy China 2030 Building [J].
Gao, Chao ;
Xu, Jiao ;
Liu, Yang ;
Yang, Yuexin .
EUROPEAN JOURNAL OF CLINICAL NUTRITION, 2021, 75 (02) :238-246
[7]   The dietary transition and its association with cardiometabolic mortality among Chinese adults, 1982-2012: a cross-sectional population-based study [J].
He, Yuna ;
Li, Yanping ;
Yang, Xiaoguang ;
Hemler, Elena C. ;
Fang, Yuehui ;
Zhao, Liyun ;
Zhang, Jian ;
Yang, Zhenyu ;
Wang, Zhu ;
He, Li ;
Sun, Jing ;
Wang, Dong D. ;
Wang, Jingzhong ;
Piao, Jianhua ;
Liang, Xiaofeng ;
Ding, Gangqiang ;
Hu, Frank B. .
LANCET DIABETES & ENDOCRINOLOGY, 2019, 7 (07) :540-548
[8]   Nutrition transition and related health challenges over decades in China [J].
Huang, Lina ;
Wang, Zhihong ;
Wang, Huijun ;
Zhao, Liyun ;
Jiang, Hongru ;
Zhang, Bing ;
Ding, Gangqiang .
EUROPEAN JOURNAL OF CLINICAL NUTRITION, 2021, 75 (02) :247-252
[9]   Self-Reported Dietary Management Behaviors and Dietary Intake among Chinese Adults with Diabetes: A Population-Based Study [J].
Liu, Yixu ;
Yu, Dongmei ;
Luo, Jiayou ;
Cai, Shuya ;
Ye, Ping ;
Yao, Zhenzhen ;
Luo, Miyang ;
Zhao, Liyun .
NUTRIENTS, 2022, 14 (23)
[10]   Personalised nutrition advice reduces intake of discretionary foods and beverages: findings from the Food4Me randomised controlled trial [J].
Livingstone, Katherine M. ;
Celis-Morales, Carlos ;
Navas-Carretero, Santiago ;
San-Cristobal, Rodrigo ;
Forster, Hannah ;
Woolhead, Clara ;
O'Donovan, Clare B. ;
Moschonis, George ;
Manios, Yannis ;
Traczyk, Iwona ;
Gundersen, Thomas E. ;
Drevon, Christian A. ;
Marsaux, Cyril F. M. ;
Fallaize, Rosalind ;
Macready, Anna L. ;
Daniel, Hannelore ;
Saris, Wim H. M. ;
Lovegrove, Julie A. ;
Gibney, Mike ;
Gibney, Eileen R. ;
Walsh, Marianne ;
Brennan, Lorraine ;
Martinez, J. Alfredo ;
Mathers, John C. .
INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 2021, 18 (01)