Emami Ardestani Mohammad, Sajadi Ghazaleh, Jazayeri Nasrin
Department of Internal Medicine, Pulmonary Division, Al-Zahra Hospital, Isfahan University of Medical Sciences, Isfahan, Iran; Isfahan Internal Medicine Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Isfahan Internal Medicine Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Medical Student Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Tanaffos. 2016;15(3):134-140.
This study aimed to determine anthropometric indicators associated with dyspnea and spirometric parameters in patients with chronic obstructive pulmonary disease (COPD).
A cross-sectional and observational study was carried out on 88 patients with COPD, who were visited in an outpatient respiratory clinic of a university hospital during two months. Patient height, weight, body mass index (BMI), waist circumference (WC), mid-upper arm circumference (MUAC), triceps skinfold thickness (TSFT) and subscapular skinfold thickness (SST) were recorded. Also, data on lung function and dyspnea were collected. The association between anthropometric indices and other parameters was studied.
Pearson's correlation coefficient showed that forced expiratory volume in one second (FEV1)% predicted was positively correlated with BMI (R=0.239, P<0.05) and MUAC (R=0.431, P<0.01). By applying ANOVA, we found that the relationship between FEV1% predicted and BMI (P=0.007), WC (P=0.019) and MUAC (P<0.001) was statistically significant. Chi-square test showed that there was an association between MUAC and dyspnea (P<0.05).
There was a relationship between FEV1% predicted and some anthropometric indices such as BMI, MUAC and WC; also, we found an association between MUAC and dyspnea.
本研究旨在确定慢性阻塞性肺疾病（COPD）患者中与呼吸困难及肺量计参数相关的人体测量指标。
对88例COPD患者进行了一项横断面观察性研究，这些患者在两个月内于一家大学医院的门诊呼吸科就诊。记录患者的身高、体重、体重指数（BMI）、腰围（WC）、上臂中部周长（MUAC）、肱三头肌皮褶厚度（TSFT）和肩胛下皮褶厚度（SST）。此外，收集了肺功能和呼吸困难的数据。研究了人体测量指标与其他参数之间的关联。
Pearson相关系数显示，一秒用力呼气容积（FEV1）%预计值与BMI（R = 0.239，P < 0.05）和MUAC（R = 0.431，P < 0.01）呈正相关。通过应用方差分析，我们发现FEV1%预计值与BMI（P = 0.007）、WC（P = 0.019）和MUAC（P < 0.001）之间的关系具有统计学意义。卡方检验显示MUAC与呼吸困难之间存在关联（P < 0.05）。
FEV1%预计值与一些人体测量指标如BMI、MUAC和WC之间存在关系；此外，我们发现MUAC与呼吸困难之间存在关联。
