Association of anthropometric and body composition parameters with the presence of hypertension in the Central European population: results from KardioVize 2030 study
| Authors | |
|---|---|
| Year of publication | 2023 |
| Type | Article in Periodical |
| Magazine / Source | Acta Cardiologica |
| MU Faculty or unit | |
| Citation | |
| Web | https://www.tandfonline.com/doi/abs/10.1080/00015385.2023.2192153?journalCode=tacd20 |
| Doi | http://dx.doi.org/10.1080/00015385.2023.2192153 |
| Keywords | Hypertension; body composition; bioimpedance analysis; anthropometric parameters |
| Description | Background Hypertension is one of the most prevalent chronic non-communicable diseases and affects more than 60% of individuals over 60 years of age. Additionally, hypertension is a prominent risk factor for the development of cardiovascular diseases (CVDs). Human body composition is both the result and predictor of an individual's health status, and hypertension has consistently been shown to be more prevalent among obese individuals. In the current study, we focussed on the association between body composition parameters and hypertension occurrence.Methods Data from KardioVize 2030, a population-based study (n = 1988), was used to determine the association between the body composition parameters related to both fat and water content with hypertension. Body composition was assessed using the direct segmental multi-frequency bioelectrical impedance analysis method (DSM-BIA).Results Using logistic regression modelling we found that the majority of hypertension incidence could be determined by body fat and water content, as hypertension occurrence was positively correlated with increased fat-related body composition parameters and water content. Specifically, results from this study demonstrate that increased intracellular fluid was positively associated with higher hypertension incidence in men (14%) and women (16%).Conclusion Body composition reflects the occurrence of hypertension and may serve as a novel therapeutic goal that can be easily implemented in the clinical setting using DSM-BIA. |