The Prevalence of Arrhythmias, Including Premature Supraventricular and Ventricular Beats and Other Electrocardiographic Patterns, in 24-Hour Holter Monitoring in Patients with Overweight and Obesity

Author:

Dykiert Irena Anna1ORCID,Kraik Krzysztof2ORCID,Jurczenko Lidia2,Gać Paweł3ORCID,Poręba Rafał4,Poręba Małgorzata5ORCID

Affiliation:

1. Department of Physiology and Pathophysiology, Division of Pathophysiology, Wroclaw Medical University, 50-368 Wrocław, Poland

2. Students’ Scientific Association of Cardiovascular Diseases Prevention, Wroclaw Medical University, 50-368 Wrocław, Poland

3. Department of Environmental Health, Occupational Medicine and Epidemiology, Wroclaw Medical University, 50-345 Wrocław, Poland

4. Department and Clinic of Angiology and Internal Medicine, Wroclaw Medical University, 50-556 Wrocław, Poland

5. Department of Paralympic Sport, Wroclaw University of Health and Sport Sciences, 51-617 Wrocław, Poland

Abstract

Objectives: this study aims to evaluate the prevalence of various arrhythmias and other electrocardiographic patterns within the group of individuals with overweight and obesity. Methods: One hundred eighty-one adults (90 females and 91 males) were qualified for inclusion in the experimental group. All participants had a body mass index (BMI) exceeding 25 kg/m2 (98 patients with obesity and 83 with overweight). The mean BMI in the obesity group was 33.6 kg/m2, and all participants had class 1 obesity. The control group comprised 69 individuals (56 females and 13 males) with normal BMI. The basic measurements were performed, and the participants filled out questionnaires describing their health conditions and lifestyles. Each participant underwent an electrocardiographic (ECG) examination and a 24 h Holter ECG examination. Results: In patients with class 1 obesity compared to the control patients, the average numbers of premature ventricular beats (PVBs) and premature supraventricular beats (SPBs) were statistically significantly higher (p = 0.030 and p = 0.042). There was a positive correlation between body weight and PVB (p = 0.028) and between body weight and SPB (p = 0.028). Moreover, BMI and waist circumference were correlated with SPB (p = 0.043 and p = 0.031). In the backward stepwise multivariate regression model considering 24 h Holter ECG monitoring, concerning SPB as the dependent variable, it was observed that BMI (especially obesity class 1), type 2 diabetes, and thyroid disease exhibited the highest regression coefficients. Conclusions: obesity, even in class 1, might be a factor in a more frequent occurrence of abnormalities in electrocardiographic tests.

Funder

Wroclaw Medical University

Publisher

MDPI AG

Reference41 articles.

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2. Eurostat Report (2024, August 08). Over Half of Adults in the EU Are Overweight. Available online: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Overweight_and_obesity_-_BMI_statistics#Obesity_by_age_group.

3. (2024, August 08). Raport: Odsetek Osób w Wieku Powyżej 15 Lat Według Indeksu Masy Ciała (BMI), GUS, Available online: https://stat.gov.pl/obszary-tematyczne/zdrowie/zdrowie/odsetek-osob-w-wieku-powyzej-15-lat-wedlug-indeksu-masy-ciala-bmi,23,1.html.

4. Obesity and atrial fibrillation: A comprehensive review of the pathophysiological mechanisms and links;Goudis;J. Cardiol.,2015

5. Obesity and Atrial Fibrillation Prevalence, Pathogenesis, and Prognosis: Effects of Weight Loss and Exercise;Lavie;J. Am. Coll. Cardiol.,2017

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