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肌肉质量指标(如去脂体重和瘦体组织质量)与 HIV 确诊的儿童和青少年的握力有关。

Muscle mass indicators as fat-free mass and lean soft tissue mass are associated with handgrip strength in HIV-diagnosed children and adolescents.

机构信息

Universidade Federal de Santa Catarina, Centro de Desportos, Núcleo de Pesquisa em Cineantropometria e Desempenho Humano, Florianópolis, Santa Catarina, Brazil.

Universidade Federal de Alagoas, Instituto de Educação Física e Esporte. Grupo de Pesquisa em Biodinâmica do Desempenho Humano e Saúde. Maceió, Alagoas, Brazil.

出版信息

J Bodyw Mov Ther. 2022 Apr;30:76-81. doi: 10.1016/j.jbmt.2022.02.006. Epub 2022 Feb 7.

Abstract

OBJECTIVE

To verify the association between fat free mass (FFM) and lean soft tissue mass (LSTM) with handgrip strength (HGS) in HIV children and adolescents, according to sex.

METHOD

This cross-sectional study included 65 HIV children and adolescents, aged from 8-15 years (30 boys and 35 girls). FFM and LSTM were measured by dual-energy X-ray absorptiometry (DXA). HGS was measured with hydraulic dynamometer. Bone age was assessed by radiography of the wrist of the left carpus and moderate to vigorous physical activity was obtained through the use of accelerometers. The use of antiretroviral drugs (ART) was obtained from the medical records of each participant.

RESULTS

For boys, the FFM model explained 86% the HGS variability (p < 0.001). For girls, the FFM model explained 90% the HGS variability (p < 0.001). LSTM explained 88% the HGS variability for both sexes.

CONCLUSION

FFM and LSTM were directly associated with HGS. However, models with bone age, physical activity level and type of ART improved the explanatory power of LLM and LSTM in HGS.

摘要

目的

根据性别验证 HIV 儿童和青少年去脂体重(FFM)和瘦体组织质量(LSTM)与握力(HGS)之间的关联。

方法

本横断面研究纳入了 65 名年龄在 8-15 岁之间的 HIV 儿童和青少年(30 名男孩和 35 名女孩)。FFM 和 LSTM 通过双能 X 射线吸收法(DXA)进行测量。HGS 通过液压测力计进行测量。骨龄通过左手腕部的腕骨 X 光片进行评估,通过使用加速度计获得中等到剧烈的身体活动量。每位参与者的医疗记录中均记录了抗逆转录病毒药物(ART)的使用情况。

结果

对于男孩,FFM 模型解释了 HGS 变异性的 86%(p<0.001)。对于女孩,FFM 模型解释了 HGS 变异性的 90%(p<0.001)。FFM 和 LSTM 均与 HGS 呈直接相关。然而,包含骨龄、身体活动水平和 ART 类型的模型提高了 LLM 和 LSTM 对 HGS 的解释能力。

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