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				Comparison of Effects of Exhalation and Inhalation Breathing Exercises on Pulmonary Function and Complications in Elderly Patients with Upper-abdominal Surgery														
			
			Mijee Koo, Sunkyung Hwang			
				J Korean Acad Nurs 2016;46(4):514-522.   Published online August 31, 2016			
									DOI: https://doi.org/10.4040/jkan.2016.46.4.514
							
							 
				
										
										 Abstract  PDF
Purpose
The purpose of this study was to identify the effects of exhalation breathing exercises using expirometer and that of inhalation breathing exercises using incentive spirometry on pulmonary function and complications in elderly patients with upper-abdominal surgery.Methods The research design was a nonequivalent control group non-synchronized design. Participants were 63 patients who underwent upper-abdominal surgery under general anesthesia (32 in experiment group, 31 in control group). They were recruited at P university hospital from August 1 to November 30, 2015. Effects were evaluated by measuring pulmonary functions (Forced Vital Capacity [FVC], Forced Expiratory Volume in 1 second [FEV1]) and pulmonary complications. Data were analyzed using SPSS/WIN 18.0 program.Results There was no difference in FVC between the experimental group and the control group, but FEV1 in the experimental group increased significantly compared to the control group by time change (p=.001). Also, there were no pulmonary complications in the experimental group but there were 5 cases (16.1%)(p=.018) in the control group.Conclusion Findings indicate that exhalation breathing exercises by elderly patients following upper-abdominal surgery is an effective nursing intervention in enhancing pulmonary function and preventing pulmonary complications.
					Citations Citations to this article as recorded by   A Cross-Sectional Study on the Application of IS in Perioperative Pulmonary Function Training in Spine and OrthopedicsTing Qiu, Yong Li, Jingjing Zhang, Xuanzhu Hou, Yuqi Wu, Yan Xu, Wenyue Chen, Jingjing Rui, Jin Yang, Jing Qian, Carlo Ricciardi
 Computational Intelligence and Neuroscience.2022; 2022: 1.     CrossRef
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 Trials.2019;[Epub]     CrossRef
 
		
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