We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Sekisui Diagnostics UK Ltd.

Download Mobile App




Physical Performance Decline Influenced by Menopause

By HospiMedica International staff writers
Posted on 13 Sep 2018
Print article
Menopausal status is associated with a potential negative influence on skeletal muscle function among middle-aged women, according to a new study.

Researchers at the University of Jyväskylä (Finland) conducted a cross-sectional study involving 913 women aged 47 to 55, randomly selected from the Finnish National Registry, in order to examine physical performance during, various menopausal stages and the potential of leisure physical activity to modify menopause impact on physical performance. Of study participants, 233 women were categorized as pre-menopausal, 381 as peri-menopausal, and 299 as post-menopausal, based on serum concentrations of follicle-stimulating hormone (FSH) and bleeding diary.

Physical performance--muscle power, muscle strength, aerobic capacity and walking speed--was measured by knee extension force, handgrip force, vertical jumping height, maximal walking speed, and six-minute walking distance. Physical activity level was assessed by self-report and categorized as low, moderate, or high. The results revealed that after accounting for fat mass, height, physical activity, and education level, post-menopausal women showed 12 N weaker handgrip force and 1.1 cm lower vertical jumping height than the premenopausal women.

There was no significant interaction between menopausal stage and leisure physical activity on physical performance. The peri-menopausal and post-menopausal women with a high physical activity, however, showed better performance in the maximal knee extension strength and six-minute walking test, and showed greater lower body muscle power than those with a low physical activity. The study was published ahead of print on May 25, 2018, in Menopause.

“Physically active women had greater muscle performance and they had better mobility than women with low physical activity level,” concluded lead author Dmitriy Bondarev, MSc, of the faculty of sport and health sciences, and colleagues. “Thus, being physically active during the menopausal transition can give more capacity to withstand the potential negative influence of menopause on muscle performance and mobility.”

Menopause occurs on average at 51 years of age, leading to a gradual dysregulation of the reproductive endocrine system. The menopausal transition can be divided roughly into three different stages. During pre-menopause, the menstrual cycle gradually becomes irregular; this stage begins 5-10 years before menopause. Peri-menopause is the transition period prior to menopause, when the function of the ovaries noticeably fades away, leading to cessation of menstruation. Post-menopause is the time after the last menstruation.

Related Links:
University of Jyväskylä

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
EEG System
BRAIN QUICK

Print article

Channels

Surgical Techniques

view channel
Image: Computational models can predict future structural integrity of a child’s heart valves (Photo courtesy of 123RF)

Computational Models Predict Heart Valve Leakage in Children

Hypoplastic left heart syndrome is a serious birth defect in which the left side of a baby’s heart is underdeveloped and ineffective at pumping blood, forcing the right side to handle the circulation to... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.