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. 2024 Sep 9;14(9):1140.
doi: 10.3390/life14091140.

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

Irena Anna Dykiert  1 , Krzysztof Kraik  2 , Lidia Jurczenko  2 , Paweł Gać  3 , Rafał Poręba  4 , Małgorzata Poręba  5
Affiliations

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

Irena Anna Dykiert et al. Life (Basel). .

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.

Keywords: body mass index; electrocardiography; premature supraventricular beats; premature ventricular beats; waist–hip ratio.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure A1
Figure A1
Flowchart presenting the selection of participants.
Figure A2
Figure A2
Key findings of this study.
Figure 1
Figure 1
Typical ECG recordings of SPB and PVB found in our study group (indicated by the arrow).
See this image and copyright information in PMC

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