Impact of Middle-Aged Adults’ Recognition of Early Myocardial Infarction Symptoms and Training Experience on Cardiopulmonary Resuscitation Performance: A Cross-Sectional Study

Dajung Ryu ()
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Dajung Ryu: Department of Nursing, Kyungmin University, Uijeongbu-si 11618, Republic of Korea

IJERPH, 2025, vol. 22, issue 1, 1-10

Abstract: Despite the increasing incidence of myocardial infarction among middle-aged adults, studies analyzing their recognition of early myocardial infarction symptoms and cardiopulmonary resuscitation training experiences are lacking. This study aimed to utilize data from the 2022 Korea Community Health Survey to assess the level of recognition of early myocardial infarction symptoms among middle-aged adults and identify factors affecting cardiopulmonary resuscitation performance based on training experiences. Secondary data analysis was conducted to assess 99,945 adults aged 40–64 years on their recognition of early myocardial infarction symptoms and the influence of cardiopulmonary resuscitation training experience on their performance ability. Data analysis was performed using multinomial logistic regression, followed by assessing the area under the curve and visualizing the receiver operating characteristic curve to evaluate the model’s performance. The recognition of early myocardial infarction symptoms improved; the cardiopulmonary resuscitation performance ability increased by 22%. The absence of training with mannequins and automated external defibrillators resulted in a 79% and 77% decrease in cardiopulmonary resuscitation performance ability, respectively. Enhancing the recognition of early myocardial infarction symptoms and providing hands-on cardiopulmonary resuscitation training is vital for improving cardiopulmonary resuscitation performance in middle-aged adults. Effective cardiopulmonary resuscitation training programs can facilitate the rapid identification of patients who have had a cardiac arrest, bolster emergency response capabilities, and enhance the overall social safety net.

Keywords: myocardial infarction; cardiac arrest; cardiopulmonary resuscitation; automated external defibrillators (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2025
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