Pre-sarcopenia
9 papers study it16 more mention it2 findings
- Humans7
- Animals1
- In silico1
Associations
230-day all-cause mortality
upin humans1
1 study
30-day all-cause mortality
upin humans1
Pre-sarcopenia raises the risk of 30-day all-cause mortality in humans (aOR 2.70, 95% CI 1.64-4.46).
“Adjusted ORs (95% CIs) for 30-day mortality were 2.70 (1.64-4.46) and 2.91 (1.72-4.91) for pre-sarcopenia and sarcopenia.”
Humansacute ischemic stroken = 2,285
Association of deep learning-derived temporalis sarcopenia with mortality in acute ischemic stroke
The journals of gerontology. Series A, Biological sciences and medical sciences
Triglyceride
upin humans1
1 study
Triglyceride
upin humans1
Triglyceride raises the risk of pre-sarcopenia in humans.
“RCS results showed that an increase in age (> 47 years old for the controls, aged 45-50 for sarcopenia patients) and blood TG level (> 1.3 mmol/L for the controls, > 1.35 mmol/L for sarcopenia patients) significantly increased the risk of pre-sarcopenia or PSAO in male subjects.”
Humans> 1.3 mmol/L for the controls, > 1.35 mmol/L for sarcopenia patientsmales
Journal of endocrinological investigation
Latest
7 papers in 12 monthsThe Journals of Gerontology, Series A
Association of deep learning-derived temporalis sarcopenia with mortality in acute ischemic stroke
Cohort study of 2,285 peopleAcute ischemic stroke
European Review of Aging and Physical Activity
Optimal type and dose of exercise to improve cognitive function in healthy and pre-sarcopenic older adults: a bayesian network meta-analysis of randomized controlled trials
ReviewInterventions
European Journal of Medical Research
UQCR10 and TNNT1: novel biomarkers for sarcopenia identified through integrated transcriptomic analysis and machine learning
Computational studySarcopenia
Clinical Interventions in Aging
Effects of Multicomponent Otago Exercise Program with Added Resistance Training on Sarcopenia in Pre-Frailty Older Adults in Nursing Homes: A Randomized Controlled Trial
Randomized trial in 61 peopleSarcopenia
Journal of Endocrinological Investigation
Development of a machine learning model for predicting pre-sarcopenia in adults with abdominal obesity: a cross-sectional study
Cross-sectional study of 2,427 peopleAbdominal obesity