利用生物电阻抗法分析西藏藏族青少年肌肉发育特点  

Analysing the muscle development characteristics of Tibetan teenagers in Tibet by using bioelectrical impedance method

作　　者：张海龙[1] 席焕久[1] 付强[2] 李文慧[1] 刘素伟[1] 钟铧[2] 白马多吉[2] 

机构地区：[1]辽宁医学院解剖学教研室,辽宁锦州121001 [2]西藏大学医学院解剖学教研室,拉萨850000

出　　处：《解剖学报》2013年第2期292-296,共5页Acta Anatomica Sinica

基　　金：国家自然科学基金资助项目(31040047)

摘　　要：目的利用生物电阻抗分析法,通过测量得出西藏藏族青少年身体各部肌肉质量的数值,提出适合于西藏藏族青少年的肌肉质量基准值,进而探讨西藏藏族青少年的肌肉发育特点与规律。方法在知情同意的情况下,整体随机抽取西藏藏族的健康青少年作为研究对象,其父母均为藏族,共选取1427人(男性710、女性717),应用体成分分析仪对所有受试者进行检测,得出全身肌肉量、躯干肌肉量、左上肢、右上肢、左下肢、右下肢肌肉量。所有结果输入SPSS19.0统计软件包,进行独立样本t检验和方差分析统计学处理。结果西藏藏族青少年各年龄段的全身肌肉量、躯干肌肉量、左上肢、右上肢、左下肢、右下肢肌肉量,在12岁之前有性别差异,但不明显;12岁之后,以上各项数据均出现性别间差异的显著性,均表现为男性大于女性(P<0.05或P<0.01),而且随着年龄增长,这种差异越趋明显。12岁之后,女性的增长幅度出现显著下降,而男性在15岁之后,增长趋势才开始下降,而女性此时几乎进入肌肉生长发育的平台期。结论西藏藏族青少年的肌肉含量随年龄变化特点与体内激素分泌水平有关,体现了不同发育时期的生理特点。Objective To obtain the muscle base value and the muscle development characteristics of Tibetan teenagers in Tibet by counting their muscle mass with bioelectrical impedance method. Methods We selected randomly 1427 healthy teenagers whose parents were Tibetan in Tibet （710 males, 717 females）. They had signed the informed consent. We detected all subjects with the body composition analyzer and concluded the total muscle, trunk （left upper limb, right upper limb,left lower limb,right lower limb）muscle mass. All the results were inputted SPSS（ statistical software） and processed by independent sample t-test and variance analysis. Results The total muscle mass, trunk （left upper limb, right upper limb, left lower limb, right lower limb ） muscle mass of males were all more than those of females in all age groups of Tibetan teenagers（P 〈 0.05 or P 〈 0.01 ）. In general, the muscle mass of Tibetan teenagers in Tibet increased with age, males＇ increasing trend was more pronounced. Conclusion The muscle development of Tibetan teenagers in Tibet is related with age and hormone secretion, it reflects the physiological characteristics in different developmental stages.

关 键 词：西藏 藏族 肌肉 发育 生物电阻抗法 青少年 

分 类 号：R195.1[医药卫生—卫生统计学]