Please wait a minute...
J Zhejiang Univ (Med Sci)  2022, Vol. 51 Issue (1): 115-121    DOI: 10.3724/zdxbyxb-2021-0380
Design and development of a Wechat applet for intelligent health management of metabolic syndrome
TANG Leiwen1,CHEN Dandan2,SHAO Jing2,ZHANG Hui2,WU Jingjie2,YE Zhihong1,2,*()
1. Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China;
2. Institute of Nursing Research, Zhejiang University School of Medicine, Hangzhou 310058, China
Download: HTML( 7 )   PDF(2744KB)
Export: BibTeX | EndNote (RIS)      


Objective: To design and develop a Wechat applet for intelligent health management of metabolic syndrome. Methods: Based on the needs and requirements of individuals undergoing health check-up, patients with metabolic syndrome and medical workers, a Wechat applet for metabolic syndrome management was designed and developed, which involving health data collection, health risk prediction, health management knowledge base fusion and intelligent recommendation, data privacy and security. Results: The platform consists of three user ports: individuals undergoing health check and patients with metabolic syndrome, the medical workers and the system administrators. The main functions of the platform included metabolic syndrome risk prediction, intelligent recommendation of health management strategies, health behavior record and supervision, experts’ consultation and health knowledge guide. Conclusion: The Wechat applet developed in this study can be used for metabolic syndrome risk prediction for general population, and health management for patients with metabolic syndrome, which helps them to enhance health management awareness and health behavior adherence.

Key wordsMetabolic syndrome      Wechat applet      Health management      Risk forecasting     
Received: 10 December 2021      Published: 17 May 2022
CLC:  TP319  
Corresponding Authors: YE Zhihong     E-mail:
Cite this article:

TANG Leiwen,CHEN Dandan,SHAO Jing,ZHANG Hui,WU Jingjie,YE Zhihong. Design and development of a Wechat applet for intelligent health management of metabolic syndrome. J Zhejiang Univ (Med Sci), 2022, 51(1): 115-121.

URL:     OR



关键词: 代谢综合征,  微信小程序,  健康管理,  风险预测 
Figure 1 Overall architecture of the Wechat applet
[1]   LIW, SONGF, WANGX, et al.Prevalence of metabolic syndrome among middle-aged and elderly adults in China: current status and temporal trends[J]Ann Med, 2018, 50( 4): 345-353.
doi: 10.1080/07853890.2018.1464202
[2]   何宇纳, 赵文华, 赵丽云, 等. 2010—2012年中国10~17岁儿童青少年代谢综合征流行情况[J]. 中华预防医学杂志, 2017, 51(6): 513-518
HE Yuna, ZHAO Wenhua, ZHAO Liyun, et al. Prevalence of metabolic syndrome in Chinese adults in 2010—2012[J]. Chinese Journal of Preventive Medicine, 2017, 51(6): 513-518. (in Chinese)
[3]   KASTORINIC M, MILIONISH J, ESPOSITOK, et al.The effect of Mediterranean diet on metabolic syndrome and its components[J]J Am College Cardiol, 2011, 57( 11): 1299-1313.
doi: 10.1016/j.jacc.2010.09.073
[4]   VAN NAMENM, PRENDERGASTL, PEIRISC. Supervised lifestyle intervention for people with metabolic syndrome improves outcomes and reduces individual risk factors of metabolic syndrome: a systematic review and meta-analysis[J]Metabolism, 2019, 153988.
doi: 10.1016/j.metabol.2019.153988
[5]   PÉREZ-MARTÍNEZP, MIKHAILIDISD P, ATHYROSV G, et al.Lifestyle recommendations for the prevention and management of metabolic syndrome: an international panel recommendation[J]Nutr Rev, 2017, 75( 5): 307-326.
doi: 10.1093/nutrit/nux014
[6]   WUP, WANY, ZHUANGY, et al.WeChat-based vestibular rehabilitation for patients with chronic vestibular syndrome: protocol for a randomised controlled trial[J/OL]BMJ Open, 2021, 11( 3): e042637.
doi: 10.1136/bmjopen-2020-042637
[7]   顾东兴, 范晓盛, 曾 斐. 基于微信小程序的精准健康管理平台的设计与实现[J]. 中国卫生信息管理杂志, 2021, 18(3): 411-415
GU Dongxing, FAN Xiaosheng, ZENG Fei. Design and implementation of precise health management platform based on Wechat applet[J]. Chinese Journal of Health Informatics and Management, 2021, 18(3): 411-415. (in Chinese)
[8]   马妍妍, 叶志弘, 沈旭慧, 等. 代谢综合征患者自我管理知信行的质性研究[J]. 中国实用护理杂志, 2018, 34(26): 2021-2026
MA Yanyan, YE Zhihong, SHEN Xuhui, et al. A qualitative study of self-management knowledge and behavior in patients with metabolic syndrome[J]. Chinese Journal of Practical Nursing, 2018, 34(26): 2021-2026. (in Chinese)
[9]   吕晓燕, 夏京花, 曹英娟. 糖尿病移动医疗APP质量现状及其评价工具的研究进展[J]. 中国护理管理, 2019, 19(12): 1881-1886
LYU Xiaoyan, XIA Jinghua, CAO Yingjuan. Quality and assessment tools of mobile health APP for diabetes: a literature review[J]. Chinese Nursing Management, 2019, 19(12): 1881-1886. (in Chinese)
[10]   金晓婷, 肖 倩, 田梓蓉, 等. 智能健康管理软件鼻窦炎康复APP的适用性与使用粘性评价[J]. 中国护理管理, 2021, 21(4): 579-583
JIN Xiaoting, XIAO Qian, TIAN Zirong, et al. Applicability and adherence of a smartphone APP for patients with chronic rhinosinusitis[J]. Chinese Nursing Management, 2021, 21(4): 579-583. (in Chinese)
[11]   JIANGY, LIUF, GUOJ, et al.Evaluating an intervention program using WeChat for patients with chronic obstructive pulmonary disease: randomized controlled trial[J/OL]J Med Internet Res, 2020, 22( 4): e17089.
doi: 10.2196/17089
[12]   ZHANGH, CHEND, SHAOJ, et al.Development and internal validation of a prognostic model for 4-year risk of metabolic syndrome in adults: a retrospective cohort study[J]Diabetes Metab Syndr Obes, 2021, 2229-2237.
doi: 10.2147/DMSO.S288881
[13]   ZHANGH, CHEND, SHAOJ, et al.External validation of the prognostic prediction model for 4-year risk of metabolic syndrome in adults: a retrospective cohort study[J]Diabetes Metab Syndr Obes, 2021, 3027-3034.
doi: 10.2147/DMSO.S316950
[14]   赵君珂, 张振宇, 蔡开裕. 基于自然语言处理的医学实体识别与标签提取[J]. 计算机技术与发展, 2019, 29(9): 18-23
ZHAO Junke, ZHANG Zhenyu, CAI Kaiyu. Medical entity recognition and label extraction based on natural language processing[J]. Computer Technology and Development, 2019, 29(9): 18-23. (in Chinese)
[15]   JIMENEZG, LUME, CARJ. Examining diabetes management apps recommended from a Google search: content analysis[J/OL]JMIR Mhealth Uhealth, 2019, 7( 1): e11848.
doi: 10.2196/11848
[16]   MCKAYF H, CHENGC, WRIGHTA, et al.Evaluating mobile phone applications for health behaviour change: a systematic review[J]J Telemed Telecare, 2018, 24( 1): 22-30.
doi: 10.1177/1357633X16673538
[17]   陈阳阳, 上官小芳, 陈 元, 等. 癌痛患者对药物治疗管理手机应用程序需求情况的调查研究[J]. 中国医院药学杂志, 2019, 39(6): 636-640
CHEN Yangyang, SHANGGUAN Xiaofang, CHEN Yuan, et al. A survey of patients with cancer pain on their demand on mobile application program of medication management[J]. Chinese Journal of Hospital Pharmacy, 2019, 39(6): 636-640. (in Chinese)
[1] CHEN Yunyan,WU Qi,ZHANG Lixia,CHEN Danqing,LIANG Zhaoxia. Relationship of abnormal mid-term oral glucose tolerance test and maternal weight gain with adverse pregnancy outcomes in women with gestational diabetes mellitus[J]. J Zhejiang Univ (Med Sci), 2021, 50(3): 313-319.
[2] YANG Zeran,ZHANG Xin,MA Jie,JIN Li,HE Xujun. Expression of tumor-associated vascular insulin receptor in colorectal cancer and its relationship with tumor pathological features[J]. J Zhejiang Univ (Med Sci), 2020, 49(6): 725-731.
[3] YAO Meifang, SUN Xue, HAN Jue, TU Yina, HE Jie, ZHAO Yiming, LOU Hanyu, PANG Xiaohong, ZENG Wenheng, ZHANG Songzhao, SHAN Pengfei. Metabolic syndrome increases Framingham risk score of patients with type 2 diabetes mellitus[J]. J Zhejiang Univ (Med Sci), 2016, 45(3): 268-274.
[4] SHI Junping. Frontiers of research on nonalcoholic fatty liver disease[J]. J Zhejiang Univ (Med Sci), 2016, 45(1): 98-101.
[5] JIN Wen-yuan, ZHAO Zheng-yan. Progress on association between low-density lipoprotein receptor and metabolic syndrome[J]. J Zhejiang Univ (Med Sci), 2015, 44(1): 101-107.
[6] WU Da-xing, WU Li-feng, YANG Zong-xing. Association between androgenetic alopecia and metabolic syndrome: a -analysis[J]. J Zhejiang Univ (Med Sci), 2014, 43(5): 597-601.
[7] CHEN Lianhui,LIANG Li,FU Junfen,ZHU Weifen,WANG Chunlin,HUANG Ke,FANG Yan. Comparison of clinical application of two definitions of metabolic syndrome in children and adolescents[J]. J Zhejiang Univ (Med Sci), 2013, 42(4): 375-380.
[8] LIN Hu,FU Junfen,CHEN Xuefeng,HUANG Ke,WU Wei,LIANG Li. Early identification of impaired renal function in obese children with non-alcoholic fatty liver disease[J]. J Zhejiang Univ (Med Sci), 2013, 42(4): 381-387.