ClinicalTrials.Veeva

Menu

Resistance Training in Patients With Morbid Obesity (ExinMO)

U

Universidad de Los Lagos

Status

Completed

Conditions

Physical Activity
Obesity
Morbid Obesity
Risk Factor, Cardiovascular
Metabolic Syndrome

Treatments

Other: Behavioral

Study type

Interventional

Funder types

Other

Identifiers

NCT03921853
RP08042019

Details and patient eligibility

About

The researchers will conduct a study for avoiding the metabolic syndrome in morbid obese patients. Thus, the aim of the present will be determine the effects of a resistance training programme (RT) in preventing or attenuating metabolic syndrome (MetS) in patients with morbid obesity. A second aim will be report the prevalence of non-responders in terms of improvements in MetS markers and other co-variables considered.

Full description

The prevalence of metabolic syndrome (MetS) and cardiovascular disease is expected to rise along with the global obesity epidemic. MetS is a cluster of clinical risk factors, including abdominal (visceral) obesity, hypertension, elevated serum triglycerides, low serum high-density lipoprotein (HDL) and hyperglycaemia.The MetS for example, significantly decreases the life expectancy of individuals with morbid obesity and increases the disease burden and economic costs associated with healthcare. In this sense, more recently, there was reported that body mass index (BMI) and fat distribution showed higher associations with inflammation, fat indices, and more prevalence of MetS in morbidly obese subjects, claiming for an early prevention of the MetS in the morbid obese state.

Exercise training has proven to be effective in inducing a clinically significant weight loss and reducing cardiovascular risk. Exercise have reported to be associated with increased muscle mass, decreased body fat, and improved metabolic profile (i.e., improved glucose control and lipid levels). In addition, supervised RT improved muscle strength and functional capacity in patients with obesity undergoing bariatric surgery. However, although RT has been widely studied in obesity, there is little information in the morbid obesity. On the other hand, there is poor knowledge similarly, about the interindividual variability to exercise training in terms of responders and non-responders (NR). Thus, considering the poor knowledge about the MetS prevention in morbid obese patients, as well as the little information about Responders and Non-Responders for improving MetS outcomes, the aim of this study will be determine the effects of a RT program on cardio-metabolic outcomes of MetS in patients with morbid obesity. A second aim will be report the prevalence of non-responders in terms of the effects of resistance training on MetS markers and other health-related variables.

Enrollment

39 patients

Sex

Female

Ages

18 to 65 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

Inclusion Criteria:

  • Older than 18 and younger and ≤65 years of age.
  • With risk factors to Metabolic syndrome
  • With obesity and morbid obesity condition
  • Medical authorization by a physician.

Exclusion criteria

  • Physical limitations (e.g., restricting injuries of the musculoskeletal system, or dependent of a third person).
  • Exercise-related dyspnoea or respiratory alterations.
  • Chronic heart disease with any worsening in the last month.
  • Adherence rate of less than 80% of the total interventions.

Trial design

Primary purpose

Prevention

Allocation

Non-Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

39 participants in 2 patient groups

Active comparator
Active Comparator group
Description:
Control group with obesity under Resistant Training
Treatment:
Other: Behavioral
Experimental group with morbid obesity
Experimental group
Description:
Experimental group with morbid obesity under Resistant Training
Treatment:
Other: Behavioral

Trial documents
1

Trial contacts and locations

1

Loading...

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2026 Veeva Systems