SciELO - Scientific Electronic Library Online

vol.33 issue4Programs to prevent obesity in school children 5 to 10 years old: a reviewAssessment of cardiovascular risk after sleeve gastrectomy: comparative of BMI, adiposity, Framingham and atherogenic index as markers of success of surgery author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand




Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google


Nutrición Hospitalaria

On-line version ISSN 1699-5198Print version ISSN 0212-1611


PESSOA VILA NOVA, Larissa et al. Association of anthropometric and body composition as a predictor of insulin resistance in cardiac patients. Nutr. Hosp. [online]. 2016, vol.33, n.4, pp.825-831. ISSN 1699-5198.

Introduction: In recent years, researchers have addressed the importance of identifying insulin resistance in patients with ischemic cardiovascular diseases. Anthropometric and body composition indicators have been indicated as adequate options for identifying metabolic abnormalities and preventing complications. Objective: To associate anthropometric and body composition indicators as predictors of insulin resistance in coronary patients. Methods: Cross-sectional study was conducted at a cardiology reference center in the state of Pernambuco, Brazil, from June to September 2014 involving adults and elderly patients with heart disease in both genders. Lifestyle, metabolic syndrome and comorbidities were investigated. Insulin resistance was calculated using the HOMA-IR. Patients were submitted to bioimpedance analysis and anthropometric measures. Results: Mean age of the sample was 63.75 ± 12.43 and 64% elderlies. Total of 65.3% was diagnosed with metabolic syndrome, 81.3% was sedentary and 37.4% was overweight. Insulin resistance was found in 28% of patients. Correlations were found between HOMA-IR and sagittal abdominal diameter (r = 0.476; p = 0.016), body mass index (r = 0.233; p = 0.040) and percentage of body fat (r = 0.276; p = 0.016). Conclusion: Sagittal abdominal diameter was the strongest anthropometric indicator associated with insulin resistance in hospitalized coronary patients.

Keywords : Insulin resistance; Cardiovascular disease; Anthropometry; Body composition; Nutritional assessment.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )