Circuit Training Improves the Levels of β-Amyloid and Brain-Derived Neurotrophic Factor Related to Cognitive Impairment Risk Factors in Obese Elderly Korean Women.
Duwang KangSuhan KohTaekyu KimEadric BresselDo-Yeon KimPublished in: Journal of clinical medicine (2024)
Background : The purpose of this study was to investigate the effect of circuit training on β-amyloid, BDNF, and cognitive function in untrained obese elderly Korean women. Methods : The subjects for the study were aged 65-70 years and were each assigned to a circuit training group (EG, n = 12) or a control group (CG, n = 11). The 60 min combined exercise was performed 3 times per week for 16 weeks. The exercise intensity was progressively increased from a 40% heart rate reserve to a 70% heart rate reserve. The test data were analyzed using a paired t -test, an independent t -test, and a two-way repeated measures ANOVA, and an alpha level of 0.05 was set for all tests of significance. Results : Group-by-time interaction effects were observed for β-amyloid ( p < 0.05), brain-derived neurotrophic factor ( p < 0.01), and cognitive function ( p < 0.05). Within the exercise group, significant differences were found in β-amyloid ( p < 0.05), brain-derived neurotrophic factor ( p < 0.001), and cognitive function ( p < 0.05) when comparing across different time points. Additionally, there were statistically significant differences between groups in post-exercise β-amyloid ( p < 0.05), change in β-amyloid ( p < 0.05), brain-derived neurotrophic factor ( p < 0.01), and cognitive function ( p < 0.05). Conclusions : Therefore, it is suggested that the circuit training used in this study could be an effective exercise method for improving the risk factors of cognitive impairment in obese elderly Korean women.
Keyphrases
- heart rate
- high intensity
- risk factors
- cognitive impairment
- heart rate variability
- resistance training
- blood pressure
- physical activity
- polycystic ovary syndrome
- metabolic syndrome
- weight loss
- middle aged
- community dwelling
- pregnant women
- pregnancy outcomes
- randomized controlled trial
- big data
- skeletal muscle
- insulin resistance
- artificial intelligence
- drug induced