A randomized controlled trial (RCT) was conducted to evaluate the effect of fermented sarco oysters (FSO) on muscle strength in postmenopausal females with low muscle mass. Fifty-two female participants were randomly divided into the experiment group (EG) or control group (CG). For 12 weeks, the EG was subjected to 1000 mg of FSO extract daily while the CG consumed the placebo extract. The muscle extension and flexion at an angular velocity of 60°/s and with respect to grip strength, body composition, and muscle growth-related blood factors were measured at the baseline and after the trial. The difference in the quadriceps muscle extension at an angular velocity of 60°/s, grip strength on both the left and right side, and insulin-like growth factor-1(IGF-1) between groups were significantly higher in the EG compared with the CG. However, no differences were found in body composition, blood pyruvate, lactate, or high-sensitivity C-reactive protein (hsCRP) concentration between the two groups. In conclusion, FSO supplements may improve muscle strength in postmenopausal females with relatively reduced muscle strength without a change in muscle mass.
PURPOSE: Postmenopausal status is associated with an age-related decline in hormones, abnormal appetite regulation, weight gain, and increased risk of cardiovascular disease (CVD). Exercise is a useful non-pharmacological intervention that improves the levels of hormones involved in appetite regulation and weight management while reducing CVD risk factors. The present study aimed to elucidate the effect of a ballet program on menopause-related changes in satiety or levels of appetite regulation hormones, including leptin and ghrelin, homeostatic model of assessing insulin resistance (HOMA-IR).METHODS: The EX group performed the ballet program. In the fasting state, body composition; leptin, ghrelin, insulin, and glucose levels; and HOMA-IR values were assessed before and 12 week after the intervention.RESULTS: A significant group by time interaction (<i>p</i><.05) was noted for percentage body fat, leptin, insulin, and HOMA-IR, which significantly decreased (<i>p</i><.05), and ghrelin, which significantly increased (<i>p</i><.05).CONCLUSIONS: These results indicate that this ballet program may be an attractive and enjoyable intervention for improving menopause-associated appetite regulation hormone changes in postmenopausal women.
We propose a digital biomarker related to muscle strength and muscle endurance (DB/MS and DB/ME) for the diagnosis of muscle disorders based on a multi-layer perceptron (MLP) using stimulated muscle contraction. When muscle mass is reduced in patients with muscle-related diseases or disorders, measurement of DBs that are related to muscle strength and endurance is needed to suitably recover damaged muscles through rehabilitation training. Furthermore, it is difficult to measure DBs using traditional methods at home without an expert; moreover, the measuring equipment is expensive. Additionally, because traditional measurements depend on the subject's volition, we propose a DB measurement technique that is unaffected by the subject's volition. To achieve this, we employed an impact response signal (IRS) based on multi-frequency electrical stimulation (MFES) using an electromyography sensor. The feature vector was then extracted using the signal. Because the IRS is obtained from stimulated muscle contraction, which is caused by electrical stimulation, it provides biomedical information about the muscle. Finally, to estimate the strength and endurance of the muscle, the feature vector was passed through the DB estimation model learned through the MLP. To evaluate the performance of the DB measurement algorithm, we collected the MFESbased IRS database for 50 subjects and tested the model with quantitative evaluation methods using the reference for the DB. The reference was measured using torque equipment. The results were compared with the reference, indicating that it is possible to check for muscle disorders which cause decreased physical performance using the proposed algorithm.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.