| Literature DB >> 31409383 |
David W McMillan1,2, Jennifer L Maher1,3, Kevin A Jacobs2, Armando J Mendez4, Mark S Nash1,5,6, James L J Bilzon7,8.
Abstract
BACKGROUND: Chronic spinal cord injury (SCI) increases morbidity and mortality associated with cardiometabolic diseases, secondary to increases in central adiposity, hyperlipidaemia and impaired glucose tolerance. While upper-body Moderate Intensity Continuous Training (MICT) improves cardiorespiratory fitness, its effects on cardiometabolic component risks in adults with SCI appear relatively modest. The aim of this study is to assess the acute effects of Continuous Resistance Training (CRT), High Intensity Interval Training (HIIT), MICT and rest (CON) on fasting and postprandial systemic biomarkers and substrate utilisation.Entities:
Keywords: Continuous resistance training; Exercise; High-intensity interval training; Metabolism; Postprandial; Spinal cord injury; Upper-body exercise
Mesh:
Substances:
Year: 2019 PMID: 31409383 PMCID: PMC6693181 DOI: 10.1186/s13063-019-3583-1
Source DB: PubMed Journal: Trials ISSN: 1745-6215 Impact factor: 2.279
Fig. 1Study flow diagram demonstrating the order of recruitment, testing and main trial procedures
Fig. 2Standardised Protocol Items: Recommendations for Interventional Trials (SPIRIT) Figure
Fig. 3Images of a single participant completing the various elements of the exercise testing regimen: a arm-crank ergometry. b military press. c horizontal row. d pectoralis (‘pec’) deck. e preacher curl. f wide-grip latissimus pull-down. g seated dip
Primary and secondary outcome variables
| Outcome measure | Analytical method |
|---|---|
| Metabolites | |
| Glucose | Plasma glucose concentration will be assessed using an automated analyser (Randox RX Daytona, Co. Antrim, UK). |
| Lipids | Serum markers of total triglycerides, total cholesterol, NEFA, HDL-C and LDL-C will also be assessed using an automated analyser and commercially available immunoassays (Randox Laboratories, Co. Antrim, UK). |
| Hormones | |
| Insulin | Determined using ELISA (Mercodia AB, Uppsala, Sweden). Variables: (i) incremental area under the curve (iAUC) [ (ii) insulin sensitivity index (ISIMatsuda) [ (iii) Homeostasis Model Assessment (HOMA-2) model [ |
| Inflammatory markers | |
| Il-6 | Baseline and post-exercise measures of IL-6 will be assessed using ELISA (Quantikine HS, R&D Systems Inc., Abingdon, UK) |
| Energy expenditure | |
| Total energy expenditure (kcal/min) | Total energy expenditure and substrate oxidation rates will be determined from expired gas analysis, at rest and during exercise, using indirect calorimetric methods, as previously described [ |
| CHO-ox (g/min) | |
| Fat-ox (g/min) | |
Abbreviations: CHO carbohydrate, ELISA enzyme-linked immunosorbent assay, HDL-C high-density lipoprotein cholesterol, IL interleukin, LDL-C low-density lipoprotein cholesterol, NEFA non-esterified fatty acids