Identification of patients at high cardiovascular risk through the conicity index in a hospital reference
Introduction and Objective: Obesity is considered one of the main risk factors for cardiovascular diseases, with the Conicity Index being one of the anthropometric methods used for its determination. Thus, the objective of the present study was established, based on the Conicity Index, with a preval...
| Authors: | , , , , |
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| Format: | article |
| Status: | Published version |
| Publication Date: | 2024 |
| Country: | Brasil |
| Institution: | Instituto Brasileiro de Ensino e Pesquisa em Fisiologia do Exercício (IBPEFEX) |
| Repository: | Revista brasileira de obesidade, nutrição e emagrecimento |
| Language: | Portuguese |
| OAI Identifier: | oai:ojs.www.rbone.com.br:article/2381 |
| Online Access: | https://www.rbone.com.br/index.php/rbone/article/view/2381 |
| Access Level: | Open access |
| Keyword: | Abdominal obesity Waist circunference Cardiovascular disease Obesidad abdominal Circunferencia de la cintura Enfermedades cardiovasculares Obesità addominale Girovita Malattia cardiovascolare Obesidade abdominal Circunferência da cintura Doenças cardiovasculares |
| Summary: | Introduction and Objective: Obesity is considered one of the main risk factors for cardiovascular diseases, with the Conicity Index being one of the anthropometric methods used for its determination. Thus, the objective of the present study was established, based on the Conicity Index, with a prevalence of high cardiovascular risk in hospitalized cardiac patients. Materials and Methods: This is a descriptive cross-sectional study carried out at the Hospital de Clínicas Gaspar Vianna Foundation, in Belém - Pará, with a non-probabilistic study sample for the convenience of adults and elderly men and women, diagnosed with heart disease. Discussion: This study was in agreement with clinical findings in the literature, in which patients with heart disease tend to have an altered Conicity Index, which ends up framing these patients to the condition of high cardiovascular risk. Results and Conclusion: The sample consisted of 182 patients, 77.47% of whom were male, with a mean age of 59.4 ±13.3. The majority of the study population presented the values of the Conicity Index above the cutoff points, with an average of 1.33 ±0.08. Of the 182 patients evaluated, 89% (n = 162) were at high cardiovascular risk through this Index. Therefore, from the results found in this research, the importance of the Conicity Index in monitoring high cardiovascular risk is clear, as well as further studies about this Index, since there are still few that use it to identify cardiovascular risk. |
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