迪波尼戈罗大学医学院一年级学生体成分与呼气流量峰值的相关性研究

Timothy Jordan, Darmawati Ayu Indraswari, Edwin Basyar, Buwono Puruhito
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引用次数: 0

摘要

背景:呼气峰流量(PEFR)是影响生活质量的肺通气参数之一。已知PEFR会受到高体重指数(BMI)和腰围(WC)的负面影响。本研究旨在确定狄波尼戈罗大学医学一年级本科生BMI、WC与PEFR的相关性。方法:本研究是一项横断面研究,于2020年10月5日至10月8日进行,测量了迪波尼戈罗大学169名一年级医学生的BMI、WC和PEFR。BMI、WC和PEFR分别使用数字秤、卷尺和Mini-Wright峰值流量计(PFM)进行评估。双因素分析采用Spearman检验,多因素分析采用多元回归法。如果双变量分析P < 0.05,多变量分析F < 0.05,则认为结果显著。采用IBM SPSS Statistics 26.0软件进行统计分析。结果:大多数受试者BMI正常,平均值为23.38(±0.36)kg/m2。71.6%的受试者WC正常。BMI与PEFR之间存在相关性(P = 0.001),但相关性较弱(R = 0.260)。BMI与WC也呈显著正相关(P <0.001),与PEFR呈弱相关(R = 0.342)。同时,BMI和WC与PEFR呈显著正相关(F <0.001),且与PEFR呈弱相关(R = 0.361)。结论:较高的BMI和WC值与较高的PEFR值一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlation between Body Composition and Peak Expiratory Flow Rate in First-Year Medical Students of Diponegoro University
Background: Peak expiratory flow rate (PEFR) is one of the pulmonary ventilation parameters that affects quality of life. PEFR is known to be negatively affected by high body mass index (BMI) and waist circumference (WC). This study aimed to determine the correlation of BMI and WC with PEFR in first-year medical undergraduates at Diponegoro University.Methods: This was a cross-sectional study held from October 5th to October 8th, 2020, which measured the BMI, WC, and PEFR of 169 first-year medical students at Diponegoro University. The BMI, WC, and PEFR were assessed using a digital scale, measuring tape, and Mini-Wright peak flow meter (PFM), respectively. Spearman test was used for bivariate analysis, whereas the multiple regression method was used for multivariate analysis. The results are considered significant if P <0,05 for bivariate and F <0,05 for multivariate analysis. The IBM SPSS Statistics 26.0 Software was used for statistical analysis.Results: Most of the subjects had normal BMI, with a mean value of 23.38 (±0.36) kg/m2. As many as 71.6% of the subjects had normal WC. There was a correlation between BMI and PEFR (P = 0.001) with a weak strength (R = 0.260). As for BMI, WC also demonstrated a significant positive correlation (P <0.001) with a weak strength (R = 0.342) towards PEFR. Simultaneously, both BMI and WC had a significant positive correlation (F <0.001) with a weak strength (R = 0.361) towards PEFR.Conclusion: Higher BMI and WC values coincided with higher PEFR values. 
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