Risk factors and predictive modeling in a US population with sarcopenia: a propensity score cohort study

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 26, 2025

Sarcopenia, characterized by loss of muscle mass and strength, particularly affects older adults is linked to increased morbidity mortality. The study aimed investigate the relationship between biomarkers, including hemoglobin (Hb), lactate dehydrogenase (LDH), Systemic Immune-Inflammation Index (SII), sarcopenia in US population. Utilizing NHANES data from 2003 2018, analyzed 5,615 participants, categorizing them based on quartiles Hb, SII, LDH levels. It employed logistic regression models assess these biomarkers risk, adjusting for various confounders. High levels LDH, Hb SII were significantly associated with sarcopenia, higher risk highest quartile. AUC all indicators predicting was 0.925 (sensitivity 0.925; specificity 0.743). concludes that elevated are significant emphasizing role inflammation its development potential markers early detection intervention.

Язык: Английский

Impact of Glucose Profile, Fasting Insulin, and Renal Function on Sarcopenia in Elderly at Single Centered Nursing Home: A Cross-Sectional Structural Equation Model Analysis

Journal of Multidisciplinary Healthcare, Год журнала: 2025, Номер Volume 18, С. 1393 - 1404

Опубликована: Март 1, 2025

Background: Sarcopenia, characterized by a progressive decline in muscle mass and strength, poses significant public health challenges for the elderly, impacting physical performance quality of life. This study aims to investigate associations between glucose profile, fasting insulin, renal function, strength among elderly residents single-centered nursing home Indonesia, identifying potential biomarkers sarcopenia. Methods: A cross-sectional analysis was conducted on 31 Santa Anna Nursing Home, with measured using handgrip dynamometry biochemical parameters evaluated through standardized laboratory methods. Results: Structural Equation Modeling-Partial Least Squares (SEM-PLS) revealed strong negative correlations profile (β = − 0.683, p < 0.01) insulin 0.208, 0.05) while function showed moderate positive relationship 0.295, 0.05). Conclusion: These findings highlight as critical predictors sarcopenia, offering pathways early detection targeted interventions. Future research should explore longitudinal assessments molecular mechanisms refine sarcopenia prevention strategies aging populations. Keywords: biomarkers,

Язык: Английский