It is an open-label, parallel-group, randomized controlled clinical trial, which is designed to enroll people with different glucose metabolism status who are also overweight or obese, including people with normal glucose metabolism, pre-diabetes patients and newly diagnosed type 2 diabetes patients. The patients are randomized to an enhanced physical activity intervention (high-intensity interval training exercise prescription combined with resistance training) or standard education group (diabetes health education only, including lifestyle education and guidance) for 12 weeks. This trial intends to compare the influence of enhanced physical activity treatment with that of a standard education on liver steatosis, serum glucose and lipids level, insulin sensitivity, cardiovascular metabolic parameters, metabolic molecules, and gut microbiota profile et al.
The trial will recruit 270 patients from 2 hospitals within the China Diabetes Clinical Research Network. Eligible criteria include men and women aged 18-65 years; with normal glucose metabolism or pre-diabetes or newly diagnosed type 2 diabetes; no insulin treatment; BMI ≥23 kg/m2 and \<40 kg/m2. Main exclusion criteria include severe cardiovascular diseases, uncontrolled hypertension, and other serious illness. The proposed trial has 90% statistical power to detect an absolute 3.0% reduction of liver triglyceride level changes between intensive physical activity intervention and standard education groups at a 2-sided significance level of 0.05. To achieve the proposed study objectives, we plan to perform the following specific aims: 1. Recruit 270 study participants who meet the eligibility criteria, including 90 people with normal glucose metabolism, 90 pre-diabetes patients and 90 newly diagnosed type 2 diabetes patients, and randomly assign 135 to the enhanced physical activity intervention group and 135 to the standard education group for 12 weeks; 2. Employ a study-wide strategy to encourage standard of care for all participants for the treatment of type 2 diabetes and other metabolic disorders; 3. Obtain clinical data on study outcomes for up to 12 months of follow-up among all trial participants; 4. Perform strict quality control procedures for intervention and data collection; 5. Conduct data analysis according to the intention-to-treat principle; 6. Disseminate the study findings to influence clinical practice and clinical guidelines. The results will be analyzed to examine the pan-omics changes after the interventions and clarify their predictive benefits on the effects of the interventions.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Enrollment
270
the participants will take high-intensity exercise in accordance with High Intensity Interval Training (HIIT) prescriptions, with maximum heart rate and relative maximal oxygen uptake monitored. They will take both aerobic and resistance training exercise consecutively, and total training time will be expected to reach at least 150 minutes per week.
the participants will receive no extra intervention but diabetes health education, which will be carried out in large classrooms, in groups, and over the telephone. The education is mainly consisted of instructions on diabetes prevention according to \< Guidelines for prevention and treatment of type 2 diabetes in China (2017 edition)
Shanghai Institute of Endocrine and Metabolic Diseases
Shanghai, Shanghai Municipality, China
NOT_YET_RECRUITINGThe Third People's Hospital of Datong City
Datong, Shanxi, China
RECRUITINGChange in liver steatosis quantified by MRI-PDFF (percentage)
Time frame: 12 weeks
Change in liver steatosis quantified by MRI-PDFF (percentage)
Time frame: 1 year
Change in the level of fasting blood glucose (mmol/l)
Time frame: 12 weeks and 1 year
Change in the level of plasma glucose of 2 hours post glucose-load (mmol/l)
Time frame: 12 weeks and 1 year
Change in the level of HbA1c (percentage)
Time frame: 12 weeks and 1 year
Change in body mass index (BMI)
Body weight (kg) and height (m) will be combined to report BMI in kg/m\^2
Time frame: 12 weeks and 1 year
Change in waist circumstance (cm)
Time frame: 12 weeks and 1 year
Change in body fat level (%)
Quantified by bioelectrical impedance analysis in a human body composition analyzer
Time frame: 12 weeks and 1 year
Change in serum non-HDL-C level (mg/dl)
Time frame: 12 weeks and 1 year
Change in serum total cholesterol level (mg/dl)
Time frame: 12 weeks and 1 year
Change in serum VLDL-C level (mg/dl)
Time frame: 12 weeks and 1 year
Change in serum LDL-C level (mg/dl)
Time frame: 12 weeks and 1 year
Change in serum HDL-C level (mg/dl)
Time frame: 12 weeks and 1 year
Change in serum ApoB level (mg/dl)
Time frame: 12 weeks and 1 year
Change in basal metabolic rate (BMR) (Kcal)
Quantified by bioelectrical impedance analysis in a human body composition analyzer
Time frame: 12 weeks and 1 year
Change in blood pressure (mmHg)
Time frame: 12 weeks and 1 year
Change in heart rate
Time frame: 12 weeks and 1 year
Change in insulin sensitivity
Quantify by HOMA score, which is calculated multiplying fasting plasma insulin (FPI, mIU/L) by fasting plasma glucose (FPG, mmol/L), then dividing by the constant 22.5, i.e. HOMA-IR = (FPI×FPG)/22.5.
Time frame: 12 weeks and 1 year
Change in islet β-cell function
Quantify by HOMA score, which is calculated with fasting plasma insulin (FPI, mIU/L) and fasting plasma glucose (FPG, mmol/L), i.e. HOMA-β = 20\*FPI/(FPG-3.5).
Time frame: 12 weeks and 1 year
Change in serum fetuin-A concentration (μg/mL)
Time frame: 12 weeks and 1 year
Change in serum GREM2 concentration (pg/ml)
Time frame: 12 weeks and 1 year
Change in gut hormones, monocyte subtypes and other serum biomarkers
Time frame: 12 weeks and 1 year
Change in metabolic molecules concentration
Time frame: 12 weeks and 1 year
Change in microRNA concentration
Time frame: 12 weeks and 1 year
Change in overall gut microbiota profile
change in gut microbiota composition and proportion of specific gut flora.
Time frame: 12 weeks and 1 year
Depression
Evaluated with PHQ-9 scores. The PHQ is 59-question instrument, referring to the level of interest in doing things, feeling down or depressed, difficulty with sleeping, energy levels, eating habits, self-perception, ability to concentrate, speed of functioning and thoughts of suicide. Responses range from "0" (Not at all) to "3" (nearly every day).The total sum of the responses suggests varying levels of depression. Scores range from 0 to 27. In general, a total of 10 or above is suggestive of the presence of depression.
Time frame: 12 weeks and 1 year
Health related quality of life
Evaluated with HQoL scales such as Short Form 12 Health Survey Questionnaire. The SF-12 is 12-question instrument, covering the eight domains of health outcomes, including physical functioning, role-physical, bodily pain, general health, vitality, social functioning, role-emotional, and mental health. Scores range from 0 to 48. A higher score indicates a better health state.
Time frame: 12 weeks and 1 year
Change in diet pattern
Evaluated with a semiquantitative food frequency questionnaire.
Time frame: 12 weeks and 1 year
Change in sleeping pattern
Evaluated with Pittsburgh Sleep Quality Index, PSQI. Scores range from 0 to 21. A higher score indicates a worse sleeping pattern.
Time frame: 12 weeks and 1 year
Change in daily exercise
Evaluated with short form International Physical Activity Questionnaire (IPAQ).
Time frame: 12 weeks and 1 year
Cardiovascular risk
Evaluated with Framingham Risk Scores. Individuals with low risk have 10% or less CHD risk at 10 years, with intermediate risk 10-20%, and with high risk 20% or more.
Time frame: 12 weeks and 1 year
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