Prevalence and some related factors of low muscle mass in older adults: findings from the Tehran lipid and glucose study.

Autor: Abiri B; Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Number 24, Yemen Street, Shahid Chamran Highway, 19395-476, Tehran, Iran., Ahmadi AR; Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran., Nikoohemmat M; Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Number 24, Yemen Street, Shahid Chamran Highway, 19395-476, Tehran, Iran., Valizadeh A; Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Number 24, Yemen Street, Shahid Chamran Highway, 19395-476, Tehran, Iran.; Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran., Mahdavi M; Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Number 24, Yemen Street, Shahid Chamran Highway, 19395-476, Tehran, Iran., Valizadeh M; Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Number 24, Yemen Street, Shahid Chamran Highway, 19395-476, Tehran, Iran., Momenan A; Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Haidari F; School of Health, Medical and Applied Sciences, CQUniversity, Brisbane, Australia., Azizi F; Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Science, Tehran, Iran., Hosseinpanah F; Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Number 24, Yemen Street, Shahid Chamran Highway, 19395-476, Tehran, Iran.
Jazyk: angličtina
Zdroj: Journal of diabetes and metabolic disorders [J Diabetes Metab Disord] 2024 Jul 03; Vol. 23 (2), pp. 2011-2020. Date of Electronic Publication: 2024 Jul 03 (Print Publication: 2024).
DOI: 10.1007/s40200-024-01457-9
Abstrakt: Objectives: The global population is undergoing rapid aging, and the consequential decline in skeletal muscle mass with age presents substantial health risks, underscoring the importance of precise identification and gender-specific measurements. This study aimed to investigate the prevalence of low muscle mass among individuals aged > 60 years and identifying potential risk factors.
Methods: This study, conducted within the framework of Phase VII of the Tehran Lipid and Glucose Study (TLGS), included 860 participants selected through meticulous inclusion and exclusion criteria, focusing on good health. Various demographic, anthropometric, and metabolic measurements were collected, and bioelectrical impedance analysis (BIA) was employed for skeletal muscle mass assessment. Multiple logistic regression analysis was conducted to evaluate associations between low muscle mass and various factors.
Results: The prevalence of low skeletal muscle mass was 16.4% (CI: 14.06-19.03), with gender-based variations (20.24% (CI: 16.66-24.36) in males vs. 12.73% (CI: 9.92-16.19) in females). Multiple logistic regression analysis revealed associations between low muscle mass and increasing age, male gender, smoking, low physical activity, and higher HDL levels ( P  < 0.05). Protective effects were observed with higher BMI, weight, height, waist and hip circumference, and serum triglyceride levels ( P  < 0.05).
Conclusion: This study provides valuable insights into the prevalence and related factors of low skeletal muscle mass among older adults. Addressing modifiable risk factors and promoting healthy lifestyle behaviors are crucial steps in preventing and managing sarcopenia. Further longitudinal research is recommended to explore causal pathways and inform targeted interventions for optimizing muscle health across the lifespan.
Competing Interests: Competing interestsNone.
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Databáze: MEDLINE
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