School of Food Science and Engineering, Guangdong Province Key Laboratory for Green Processing of Natural Products and Product Safety, Engineering Research Center of Starch and Vegetable Protein Processing Ministry of Education, Research Institute for Food Nutrition and Human Health, South China University of Technology, Guangzhou 510640, China.
Department of Botany, Hansraj College, University of Delhi, Delhi, India. archanasingh@hrc.du.ac.in.
J C Bose Center for Plant Genomics, Hansraj College, University of Delhi, Delhi, India. archanasingh@hrc.du.ac.in.
Delhi School of Climate Change and Sustainability, Institution of Eminence, Maharishi Karnad Bhawan, University of Delhi, New Delhi, India. archanasingh@hrc.du.ac.in.
Center for Medical, Agricultural and Veterinary Entomology, U.S. Department of Agriculture-Agricultural Research Service, 1700 SW 23rd Drive, Gainesville, FL, 32608, USA. anna.block@ars.usda.gov.
Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Crop Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Fujian Provincial Key Laboratory of Agroecological Processing and Safety Monitoring, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Key Laboratory of Crop Ecology and Molecular Physiology (Fujian Agriculture and Forestry University), Fujian Province University, Fuzhou, 35002, China.
Fujian Provincial Key Laboratory of Agroecological Processing and Safety Monitoring, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Key Laboratory of Crop Ecology and Molecular Physiology (Fujian Agriculture and Forestry University), Fujian Province University, Fuzhou, 35002, China.
Food Security and Safety Niche, Faculty of Natural and Agricultural Sciences, North-West University, Private Mail Bag X2046, Mmabatho, 2735, South Africa. olubukola.babalola@nwu.ac.za.
Laboratorio Nacional de Genómica para la Biodiversidad (Langebio), Unidad de Genómica Avanzada, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Irapuato, C.P, 36824, Guanajuato, Mexico. ruairidh.sawers@gmail.com.
Department of Plant Science, The Pennsylvania State University, State College, PA, USA. ruairidh.sawers@gmail.com.
Institut für Ernährungs- und Lebensmittelwissenschaften, Lebensmittelmikrobiologie und -hygiene, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
Studies have shown that there is co-activation between abdominal and pelvic floor muscles (PFM) in physiological conditions. This study aimed to assess pelvic floor and isokinetic trunk flexors functi...
A cross-sectional study was carried out. Twenty-five incontinent women were enrolled after one-hour pad test results and compared to twenty asymptomatic women. The severity of SUI was determined by th...
Incontinent women had a weaker PFM and isokinetic abdominal muscle strength compared to continent women (P<0,05). SUI severity was negatively correlated with PFM strength (r=-0,620, P=0,001), isokinet...
Non-active incontinent women had weaker pelvic floor muscles and isokinetic trunk flexors strength compared to continent ones. The positive correlation found between these two muscle groups may be exp...
3....
Skeletal muscle works as a dynamic joint stabilizer, assisting the underlying ligaments in restricting joint angulation by actively resisting external loads. Despite its clinical importance, little is...
Muscle strength is highly heritable and predictive for multiple adverse health outcomes including mortality. Here, we present a rare protein-coding variant association study in 340,319 individuals for...
We investigated if dominance affected upper limbs muscle function, and we calculated the level of agreement in asymmetry direction across various muscle-function metrics of two heterologous muscle gro...
Population-derived cutoffs for low skeletal muscle mass, skeletal muscle strength, and frailty among Indians are lacking. Studies describing sarcopenia and frailty among patients with chronic liver di...
We aimed to derive gender-specific cutoffs for low skeletal muscle mass and skeletal muscle strength from healthy Indians....
Healthy Indian population consisted of two groups. Group 1 (Gp I) included 242 healthy liver donors and group 2 (Gp II) 272 healthy health care workers. Skeletal muscle index (SMI) was calculated from...
The SMI was measured from Gp I subjects (n=242; 120 males [mean age 31.13] and 122 females [mean age 36.60]). The HGS, CSUT, and LFI were measured in Gp I and Gp II subjects (n=514; 272 males [mean ag...
We derived gender-specific cutoffs for SMI, HGS, CSUT, and LFI from healthy adult Indian population, which can be used to detect sarcopenia and frailty among patients with liver diseases, as well as o...
Sarcopenic obesity (SO) is defined as obesity with low skeletal muscle function and mass. This study aimed to evaluate the presence of sarcopenic obesity according to different diagnostic criteria and...
A total of 95 children and adolescents with obesity (diagnosed with the use of International Obesity Task Force (IOTF) criteria) with a mean age of 12.7( ± 3) years participated in the study. Body com...
The presence of SO ranged from 6.32% to 97.89%, depending on the criteria used to define sarcopenia. Children with sarcopenia, defined as a co- occurrence of low skeletal muscle mass % (SMM%) measured...
The presence of sarcopenia in our study varied depending on the diagnostic criteria used. This is one of the first studies evaluating muscle mass, muscle strength, and physical performance in children...
Sarcopenia, characterized by reduced muscle mass, strength, or performance, is a common condition in older adults. The association between the gut microbiome and sarcopenia remains poorly understood. ...
Muscle fat infiltration (MFI) also known as myosteatosis refers to any deposit of lipids found in the skeletal muscle. MFI is preferably assessed by image-based methods like computed tomography (CT), ...
The aim of the study was to determine the respiratory muscle strength of stroke patients and compare them with healthy individuals....
The study was conducted with 171 patients who had a stroke between 2017 and 2021 and 32 healthy controls. Respiratory muscle strength and inspiratory and expiratory mouth pressure (MIP and MEP) were m...
The stroke group exhibited significantly lower values in both MIP for men (p<0.001) and women (p=0.013) and maximal expiratory pressure for men (p<0.001) and women (p=0.042), compared with the healthy...
This study highlights the significant respiratory muscle weakness experienced by stroke patients, with gender-specific differences. It highlights the importance of incorporating respiratory assessment...
To investigate the best predictor of muscle strength assessed with both Modified Sphygmomanometer Test (MST) methods (bag adaptation and non-adapted) and to provide normative values for these two MST ...
Cross-sectional study....
The strength of 42 muscle groups were assessed with the MST in the bag adaptation and non-adapted methods in 120 healthy individuals, 50 % males, divided into three age groups (20-39, 40-59, 60-79) wi...
Sex was the best independent predictor for all muscle groups for both MST methods (8.8 % < R...
Sex was the best predictor of muscle strength, as commonly found for muscle strength assessment with the dynamometer. The normative values provided have high clinical utility and can be used to interp...
