High-Intensity Interval Training in Female Adolescents with Moderate or Severe Obesity.
Ghazi RacilLuca RussoGian Mario MigliaccioPaola SignorelliAlin LarionJohnny PaduloMohamed Chedly JlidPublished in: Children (Basel, Switzerland) (2023)
This study aimed to investigate the impact of moderate- or high-intensity interval training (MIIT or HIIT) on anthropometric and biological measurements in four groups of females with obesity. Fifty-seven participants were divided into a moderate obesity group (MOG, n = 29) and a severe obesity group (SOG, n = 28). Two sub-groups were established to practice HIIT and MIIT programs (SOG HI , n = 14; SOG MI , n = 14; MOG HI , n = 14; MOG MI , n = 15). During the training sessions, each group performed two sets of 4 × 1 min intervals on a cycle ergometer. The intervals were conducted at 65% and 85% of the heart rate reserve (HRR) for MIIT and HIIT, respectively. Between each repetition, there was an active recovery phase at 50% HRR, and, between sets, there was a 4 min period of free pedaling. All groups significantly improved their anthropometric data, while only MOG HI and SOG HI significantly improved their lean body mass (LBM) and blood lactate (BL), with p ˂ 0.05; the higher percentage of change in blood insulin levels (-25.49 and -25.34) and the homeostasis model assessment of the insulin resistance index (-31.42 and -28.88) were noted. Only MOG HI showed improvements in growth hormone (GH) and blood glucose ( p < 0.05), which were negatively correlated with body fat percentage (r = -0.76 and r = -0.72) and waist circumference (r = -0.77 and r = -0.82), respectively. We may conclude that HIIT was an effective method of managing anthropometric and biological parameters, as confirmed by the pronounced body fat reduction in the moderate obesity group.
Keyphrases
- insulin resistance
- high intensity
- metabolic syndrome
- type diabetes
- high fat diet induced
- weight loss
- heart rate
- weight gain
- blood glucose
- adipose tissue
- glycemic control
- body mass index
- high fat diet
- skeletal muscle
- growth hormone
- body composition
- polycystic ovary syndrome
- blood pressure
- heart rate variability
- young adults
- healthcare
- primary care
- early onset
- physical activity
- virtual reality
- public health
- body weight
- deep learning
- postmenopausal women
- bone mineral density
- machine learning