Correlation of respiratory muscle strength with anthropometric variables of normal-weight and obese women.
Correlation of respiratory muscle strength with anthropometric variables of normal-weight and obese women.
复制标题
正常体重和肥胖女性呼吸肌力量与人体测量变量的相关性。
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Florêncio Figueiredo Cavalcanti Neto
中科院分区：
文献类型：
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作者：
Thais Ribeiro Costa;Tiago Pessoa Lima;Patrícia Lúcia Gontijo;H. A. Carvalho;Flávia Perassa de Faria Cardoso;O. P. Faria;Florêncio Figueiredo Cavalcanti Neto
客观化
目的：研究正常体重和肥胖女性的人体测量数据与呼吸肌力量(RMS)之间的关系。
方法
样本包括103名久坐不动的女性，分为两组：57名肥胖女性和46名正常体重女性。测量腰围(WC)和臀围(HC)以计算腰臀比(WHR)，并用模拟真空压力计测量最大呼吸压力(Pmax)至±300 cm H2O。用四极生物电阻抗分析仪测量体成分。数据分析采用描述性统计，独立样本的学生t检验、皮尔逊相关分析和逐步多元线性回归分析。显著性水平设为p≤0.0 5。
结果
结果显示，正常体重女性PImax为-73.04±16.55cmH2O，PEmax为79.67±18.89cmH2O，肥胖女性PImax为-85.00±21.69cmH2O，PEmax为103.86±20.35cmH2O。人体测量学和测压测量变量在两组中均无显著相关性。在分析生物电阻抗对RMS的影响时，瘦体重与PImax呈正相关。
结论
生物电阻抗和肥胖与RMS呈正相关。腰围和腰臀比对肥胖女性的RMS没有影响，但观察到与相关疾病的危险因素相关。我们认为，这些结果是由于多年来对超重体重的调整。
OBJECTIVE
To correlate anthropometric data and respiratory muscle strength (RMS) of normal-weight and obese women.
METHODS
The sample consisted of 103 sedentary women, divided into two groups: 57 obese and 46 normal-weight women. Waist circumference (WC) and hip circumference (HC) were measured to calculate the waist-to-hip ratio (WHR), and maximal respiratory pressures (Pmax) were determined using an analog vacuum manometer to ± 300 cm H2O. Body composition was measured using tetrapolar bioelectrical impedance analysis. Descriptive statistics was used for data analysis, in addition to the Student t test for independent samples, Pearson correlation, and stepwise multiple linear regression analysis. Significance level was set at p ≤ 0.05.
RESULTS
The analysis showed significant differences in Pmax of normal-weight women (PImax = -73.04±16.55 cm H2O and PEmax = 79.67±18.89 cm H2O) and obese women (PImax = -85.00±21.69 cm H2O and PEmax = 103.86±20.35 cm H2O). Anthropometric and manometric variables showed no significant correlation in both groups. When analyzing the influence of bioelectrical impedance on RMS, a positive correlation was observed between lean body mass and PImax.
CONCLUSION
Bioelectrical impedance and obesity showed a direct correlation with RMS. WC and WHR had no influence on RMS of obese women; however, a relevance to risk factors for associated diseases was observed. We believe that these results are due to an adjustment to excess body weight over the years.