Deng JL#, Dai Y#, Li PL, Zhao LG, Shan MY, Ren XD, Xu ZH*
Department of Intergrative Medicine, Xinqiao Hospital, Third Military Medical University, Chongqing, China
Xu ZH, Department of Intergrative Medicine, Xinqiao Hospital, Third Military Medical University, Chongqing, China, E-mail: email@example.com
Background: Diabetes has become the third largest non-infectious disease threatening public health. The awareness rate of type 2 diabetes in Chinese adults is only 30.1%. Clinical studies have shown that nearly 11% of pre-diabetes patients develop into diabetes without any intervention every year. Once developed into diabetes, it will seriously affect the physical and mental health of patients and bring a heavy burden to individuals, families, and society. Therefore, it is necessary to carry out early interventions in the pre-diabetes population to effectively curb the increasing prevalence of diabetes.
Methods: This study is a single-center and randomized parallel design trial. In this trial, 500 participants will be recruited and randomly assigned to the intervention group and the control group at a ratio of 1:1. Taking advantage of the modern information technology platform and combining with the traditional Chinese medicine treatment strategy, a network-intervention method of “individual-family-society” is constructed, and its effect will be evaluated.
Objective: The purpose of this study is to establish a new community intervention model suitable for the prevention and controlling of diabetes or some other chronic diseases, and to build a foundation for the development of new ideas for disease prevention and improvement of population health.
Trial registration: 2016-Yan-No.033-01 from Human Research Ethics of Xinqiao Hospital of the Third Military Medical University.
Keywords: Protocol; Pre-diabetes; Information platform; Clinical trial
Abbreviations: TCM: Traditional Chinese Medicine; IFG: Impaired Fasting Glucose; FPG: Fasting Plasma Glucose; 2hpg: 2 Hour-Plasma Glucose; OGTT: Oral Glucose Tolerance Test; BMI: Body Mass Index.