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The Impact of Body Mass Index Values on the Quality of Cardiopulmonary Resuscitation: a Manikin Study
Objective: The purpose of this study is to assess the impact of body mass index (BMI) on the quality of cardiopulmonary resuscitation (CPR) by using a manikin. Methods: 50 people composed of research assistants, intern doctors, emergency medical technicians and nurses who had previous cardiopulmonar...
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Published in: | Clinical and experimental health sciences (Online) 2021-06, Vol.11 (2), p.269-272 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Objective: The purpose of this study is to assess the impact of body mass index (BMI) on the quality of cardiopulmonary resuscitation (CPR) by using a manikin.
Methods: 50 people composed of research assistants, intern doctors, emergency medical technicians and nurses who had previous cardiopulmonary resuscitation experience performed CPR on Laerdal Skillmeter Resusci-Anne® with SimPad manikin during the study. BMI data of participants were recorded and then the participanst were categorised as BMI 21. Compression data obtained from the summary section of SimPAD QCPR were compared with the participants BMI values.
Results: 18 (36%) out of 50 participants were male, while 32 (64%) were female. 16 (32%) out of 50 participants were in the slim group, while 34 (68%) were in the normal group. Mean age of participants was calculated as 26.8±4.2, and mean BMI as 22.56±3.32. Mean compression depth in the slim group was significantly lower in comparison to the normal group (slim51.94±4.64, normal 55.79±4.35, p=0.006). Compression ratiowith sufficient depth in the slim group was statistically lower than the normal group (slim 66.19±25.79, normal 87.29±19.36, p=0.002). A statistically significant positive correlation was found in the lineer regression analysis conducted between mean compression depth and BMI (r2:0.179, p=0.002). Moreover, a significant positive correlation was observed in the pearson correlation analysis of mean compression depth and BMI (r: 0.423, p= 0.002).
Conclusion: As a result, it was found out that low BMI values are associated with low mean compression depth. |
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ISSN: | 2459-1459 2459-1459 |
DOI: | 10.33808/clinexphealthsci.775972 |