Evidence for Resistance Training as a Treatment Therapy in Obesity
Open accessAbstract
Over the last decade, investigators have paid increasing attention to the effects of resistance training (RT) on several metabolic syndrome variables. Evidence suggests that skeletal muscle is responsible for up to 40% of individuals' total body weight and may be influential in modifying metabolic risk factors via muscle mass development. Due to the metabolic consequences of reduced muscle mass, it is understood that normal aging and/or decreased physical activity may lead to a higher prevalence of metabolic disorders. The purpose of this review is to (1) evaluate the potential clinical effectiveness and biological mechanisms of RT in the treatment of obesity and (2) provide up-to-date evidence relating to the impact of RT in reducing major cardiovascular disease risk factors (including dyslipidaemia and type 2 diabetes). A further aim of this paper is to provide clinicians with recommendations for facilitating the use of RT as therapy in obesity and obesity-related metabolic disorders.
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Resistance exercise training has been found to have major metabolic health benefits, such as enhanced insulin sensitivity and better glucose management, which are vital for controlling and avoiding type 2 diabetes and other metabolic disorders.
“Resistance exercise training has also been found to have major metabolic health benefits, such as enhanced insulin sensitivity and better glucose management, which are vital for controlling and avoiding type 2 diabetes and other metabolic disorders [66–68].”
From The effects of a home-based resistance training programme on body composition and muscle function during weight loss in people living with overweight or obesity: a randomised controlled pilot trial (2025) · cites this paper as [67]
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Experimental — accuracy not yet measuredResistance training has the potential to change the metabolic properties of skeletal muscles.
“Resistance training has the potential to change the metabolic properties of skeletal muscles.”
From What exercise prescription is optimal to improve body composition and cardiorespiratory fitness in adults living with obesity? A network meta‐analysis (2021) · cites this paper as [23]
Resistance training results in an increase in lean body mass, lowers exercise-induced oxidative stress in the overweight and those with obesity, and decreases glycated haemoglobin levels in people with an abnormal glucose metabolism.
“It results in an increase in lean body mass, lowers exercise‐induced oxidative stress in the overweight and those with obesity and decreases glycated haemoglobin levels in people with an abnormal glucose metabolism.”
From What exercise prescription is optimal to improve body composition and cardiorespiratory fitness in adults living with obesity? A network meta‐analysis (2021) · cites this paper as [23]
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- Authors
- Strasser, B., & Schobersberger, W.
- Affiliations
- UMIT TIROL - Private University for Health Sciences and Health Technology (AT)
- Corresponding author
- Strasser, Barbara
- Venue
- Journal of Obesity
- Publisher
- Wiley
- Published
- 2011
- Volume
- 2011
- Pages
- 1-9
- ISSN
- 2090-0708 (ISSN-L)
- 2090-0716
- PMC
- PMC2931407
- OpenAlex
- W2041724564
- Cited by
- 220
- References
- 102
- Citations by year
- 2026: 11 · 2025: 20 · 2024: 20 · 2023: 14 · 2022: 17 · 2021: 21 · 2020: 15 · 2019: 9 · 2018: 11 · 2017: 13 · 2016: 13 · 2015: 14 · 2014: 11 · 2013: 7 · 2012: 13
- FWCI
- 6.72
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Journal of Obesity (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- resistance training, obesity, metabolic syndrome, muscle mass, skeletal muscle, cardiovascular risk factors, dyslipidemia, type 2 diabetes, aging, physical activity, exercise therapy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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