Abiri Behnaz, Ahmadi Amirhossein Ramezani, Nikoohemmat Mohammad, Valizadeh Ali, Mahdavi Maryam, Valizadeh Majid, Momenan Amirabbas, Haidari Fatemeh, Azizi Fereidoun, Hosseinpanah Farhad
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.
Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
J Diabetes Metab Disord. 2024 Jul 3;23(2):2011-2020. doi: 10.1007/s40200-024-01457-9. eCollection 2024 Dec.
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.
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.
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 ( < 0.05). Protective effects were observed with higher BMI, weight, height, waist and hip circumference, and serum triglyceride levels ( < 0.05).
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.
全球人口正在经历快速老龄化,随之而来的骨骼肌质量随年龄下降带来了重大健康风险,凸显了精确识别和按性别进行测量的重要性。本研究旨在调查60岁以上人群中低肌肉量的患病率,并确定潜在风险因素。
本研究在德黑兰脂质与葡萄糖研究(TLGS)第七阶段的框架内进行,纳入了860名通过严格的纳入和排除标准挑选出的参与者,重点关注健康状况良好的人群。收集了各种人口统计学、人体测量学和代谢测量数据,并采用生物电阻抗分析(BIA)评估骨骼肌质量。进行多因素逻辑回归分析以评估低肌肉量与各种因素之间的关联。
低骨骼肌量的患病率为16.4%(置信区间:14.06 - 19.03),存在性别差异(男性为20.24%(置信区间:16.66 - 24.36),女性为12.73%(置信区间:9.92 - 16.19))。多因素逻辑回归分析显示,低肌肉量与年龄增长、男性性别、吸烟、低体力活动和较高的高密度脂蛋白水平相关(<0.05)。较高的体重指数、体重、身高、腰围和臀围以及血清甘油三酯水平具有保护作用(<0.05)。
本研究为老年人低骨骼肌量的患病率及相关因素提供了有价值的见解。解决可改变的风险因素并促进健康的生活方式行为是预防和管理肌肉减少症的关键步骤。建议进一步开展纵向研究,以探索因果途径,并为在整个生命周期优化肌肉健康的针对性干预提供依据。