Document Type : Research Paper I Open Access I Released under CC BY-NC 4.0 license

Authors

1 Assistant Professor, Department of Exercise Physiology, Faculty of Physical Education and Sport Sciences, University of Tabriz, Tabriz, Iran

2 Faculty of Physical Education and Sport Sciences, University of Tabriz, Tabriz, Iran

3 Department of Exercise Physiology, Faculty of Physical Education and Sport Sciences, University of Tabriz, Tabriz, Iran

Abstract

Introduction: The most effective type of training to improve cardiometabolic parameters in obese subjects is unknown. Thus the aim was to compare the effects of 12 weeks of high-intensity functional training (HIFT) and combined aerobic-resistance exercise on cardiometabolic factors risk in overweight and obese girls.

Methods: 45 adolescent girls (age 15.1±3.16 years) with obesity (BMI 25.3±27.32 kg/m2) voluntarily participated in this semi-experimental pretest-posttest study and were randomly assigned to three groups: HIFT, combined aerobic-resistance exercise, and control. The exercise interventions consisted of 3 sessions per week for

12 weeks, with blood sampling performed 24 hours before the start and 48 hours after the end of the interventions. Within-group data analysis was performed using dependent t-tests, and between-group data analysis was conducted using analysis of covariance.

Results: HIFT and combined exercise had a significant effect on metabolic factors (fasting plasma glucose, fasting plasma insulin, insulin resistance) and cardiovascular risk factors (HDL, LDL, LDL/HDL ratio, triglycerides, and cholesterol) (p=0.001), and according to the effect size, HIFT was more effective than combined training in all factors except TG and LDL/HDL (P<0/05). Conclusion: Our results suggest that both intensity and mode of intervention are fundamental factors to consider when designing and prescribing an exercise programs in obese people. Therefore, these results may guide fitness professionals and exercise physiologists on exercise prescription process in this population.

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