Maranhao Neto Geraldo A, Oliveira Aldair J, Pedreiro Rodrigo Cunha de Melo, Pereira-Junior Pedro Paulo, Machado Sergio, Marques Neto Silvio, Farinatti Paulo T V
Physical Activity Sciences Graduate Program, Salgado de Oliveira University (UNIVERSO), Zip Code: 24030-060, Niterói, RJ, Brazil; Laboratory of Social Dimensions Applied to Physical Activity and Sport (LABSAFE), Department of Physical Education and Sport, Rio de Janeiro Rural Federal University, Zip Code: 23.897-000, Seropédica, Brazil.
Physical Activity Sciences Graduate Program, Salgado de Oliveira University (UNIVERSO), Zip Code: 24030-060, Niterói, RJ, Brazil; Laboratory of Social Dimensions Applied to Physical Activity and Sport (LABSAFE), Department of Physical Education and Sport, Rio de Janeiro Rural Federal University, Zip Code: 23.897-000, Seropédica, Brazil.
Arch Gerontol Geriatr. 2017 May-Jun;70:230-234. doi: 10.1016/j.archger.2017.02.007. Epub 2017 Feb 13.
Handgrip strength is an important variable to assess as part of any health intervention among older adults. Although the use of allometric normalization is the appropriate approach for removing the body size effect in handgrip performance, the best body size variable for this normalization is still unclear. Therefore, the aim of the present study was to compare the use of three body size variables (body mass, fat-free mass and body height) in allometric normalization for Handgrip strength among older adults.
Data from individuals admitted to the Elderly Care Center of the Open University of the Third Age were used, the sample consisting of 263 individuals (140 women), aged between 60-87.
The results provided allometric exponents for normalization of HGS in each body size variable (body mass: 0.31; fat-free mass: 0.11; body height: 0.46). The correlations between normalized HGS and body size variables were significant (p<0.05) when HGS were normalized by body mass or fat-free mass. On the contrary, no significant correlations were found when HGS were normalized by body height.
Body height seems to be the best body size variable for performing allometric normalization of HGS among older adults.
握力是评估老年人任何健康干预措施的一个重要变量。尽管使用异速生长归一化是消除握力表现中身体大小影响的合适方法，但用于这种归一化的最佳身体大小变量仍不明确。因此，本研究的目的是比较在老年人握力的异速生长归一化中使用三种身体大小变量（体重、去脂体重和身高）的情况。
使用了来自第三年龄开放大学老年护理中心收治个体的数据，样本包括263名个体（140名女性），年龄在60 - 87岁之间。
结果给出了每个身体大小变量（体重：0.31；去脂体重：0.11；身高：0.46）下握力标准化的异速生长指数。当握力通过体重或去脂体重进行标准化时，标准化握力与身体大小变量之间的相关性显著（p<0.05）。相反，当握力通过身高进行标准化时，未发现显著相关性。
身高似乎是在老年人中对握力进行异速生长归一化的最佳身体大小变量。
