Abstract
An electrocardiogram (ECG) is a diagnostic tool that can identify heart conditions and offer valuable information about electrical activity and age-related changes. Our primary concern is studying ECG changes related to age, gender, and body mass index (BMI) for the benefit of researchers and clinicians. A comprehensive search for relevant literature was conducted in the PubMed, Embase, and Scopus databases. The selection criteria were limited to original papers published between January 1, 2015, and December 31, 2022, that were deemed eligible. We executed a meticulous selection process that involved eliminating duplicates, screening abstracts and full texts, and manually adding some articles. During the full-text screening process, we excluded articles that were not relevant to our study. Ultimately, we included only nine observational studies that fulfilled our eligibility criteria. Our primary objective was to determine the factors that influence the ECG pattern in children and adolescents. This review systematically highlights the significance of identifying ECG patterns that could be correlated to factors such as age, gender, and BMI. Identifying such patterns may play a crucial role in improving the diagnostic accuracy of ECG. Physicians who fail to recognize these patterns may mistakenly endanger their patients’ lives.
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