Insulin Resistance, Obesity, Overweight
Conditions
Keywords
heart rate variability, exercise, inflammation, insulin resistance
Brief summary
The findings will serve as a reference for clinical professionals to promote exercise among the general population for improving HRV.
Detailed description
Background: Heart rate variability (HRV) measurement is widely used to assess the function of cardiac autonomic modulation. Aerobic exercise (AE) has been proven to improve HRV. However, because HRV is highly associated with visceral fat, inflammatory status, and insulin resistance, whether baseline body inflammation status can explain the heterogeneous response to AE remains unknown. Purposes: We will compare the effects of AE training in improving HRV, inflammatory markers, and insulin resistance between community residents with normal weight and overweight/obesity. Methods: A quasi-experimental study with purposive sampling will be used to recruit community residents aged 40-64 years with inactive habits in southern Taiwan. The minimum targeted sample size is 43 participants. The participants will be grouped into normal weight and overweight/obese groups. All participants will receive AE training with at least moderate intensity three times per week. HRV parameters, blood samples, and visceral fat will be evaluated. The blood samples will be evaluated for C-reactive protein and markers of insulin resistance (fasting glucose, insulin). All participants will be evaluated at baseline (T0) and after a 16-week intervention (T1). In addition to these time points, HRV will be measured during every exercise session for participants in exercise groups. Generalized estimating equations will be used to determine whether baseline BMI is the key factor influencing the effects of AE. Relevance to clinical practice: The findings will serve as a reference for clinical professionals to promote exercise among the general population for improving HRV.
Interventions
The participants will receive AE three times per week.
Sponsors
Study design
Masking description
The data analyzer (PI) will be blinded but the participants and intervener will not be.
Intervention model description
Particiapnts will be divided into two groups: normal weight group and overweight/obese group.
Eligibility
Inclusion criteria
* are aged between 40 and 64 years. * had inactive habit (\<3 days of physical activity per week and \<30 minutes per session). * can communicate in Mandarin or Taiwanese.
Exclusion criteria
* underlying conditions, such as stroke, acute coronary artery diseases, handicap, pregnancy, and unstable hypertension, that may present risks for exercise training. * smoking or alcohol abuse. * currently being on a diet, and (d) lifestyles that may affect HRV and inflammatory biomarkers (e.g., shift work or habit of staying up late).
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Heart rate variability | two times and each session of exercise (change from baseline to the end of 16-week) | will use heart rate variability analyzer |
| insulin resistance | two times (change from baseline to the end of 16-week) | μIU/mL |
| Visceral fat | two times (change from baseline to the end of 16-week) | will use body composition analyzer |
| fasting glucose | two times (change from baseline to the end of 16-week) | mg/dL |
| C-reactive protein | two times (change from baseline to the end of 16-week) | mg/L |
| Waist-to-hip ratio | two times (change from baseline to the end of 16-week) | Waist-to-hip ratio |
| Waist-to-height ratio | two times (change from baseline to the end of 16-week) | Waist-to-height ratio |
| body weight | two times (change from baseline to the end of 16-week) | weight in Kilogram |
| BMI | two times (change from baseline to the end of 16-week) | weight and height will be combined to report BMI in kg/m\^2 |
Countries
Taiwan