Bibliographic citations
Vásquez, M., Vilcapoma, C., Chacpi, C. (2024). Correlación entre la circunferencia de la cintura y el índice de masa corporal en niños de 3 a 5 años que acuden a centros educativos de un distrito urbano de Lima [Universidad Peruana Cayetano Heredia]. https://hdl.handle.net/20.500.12866/16536
Vásquez, M., Vilcapoma, C., Chacpi, C. Correlación entre la circunferencia de la cintura y el índice de masa corporal en niños de 3 a 5 años que acuden a centros educativos de un distrito urbano de Lima []. PE: Universidad Peruana Cayetano Heredia; 2024. https://hdl.handle.net/20.500.12866/16536
@misc{renati/1060409,
title = "Correlación entre la circunferencia de la cintura y el índice de masa corporal en niños de 3 a 5 años que acuden a centros educativos de un distrito urbano de Lima",
author = "Chacpi Yactayo, Carolina",
publisher = "Universidad Peruana Cayetano Heredia",
year = "2024"
}
Background: Obesity is diagnosed using anthropometric measures such as Body Mass Index (BMI), while waist circumference (WC) is used to estimate visceral fat. The use of anthropometric variables at early stages is crucial for preventing cardiometabolic diseases. Several studies have demonstrated a strong correlation between BMI and WC for diagnosing obesity; however, information on preschool children is scarce. Objective: To evaluate the correlation between waist circumference and body mass index in children aged 3 to 5 years attending educational centers in an urban district of Lima. Materials and Methods: This correlational study included children aged 3 to 5 years from five public and private educational centers selected through intentional non-probabilistic sampling in an urban district of Lima, Peru. Nutritional status was categorized according to WHO criteria based on BMI, and visceral obesity was diagnosed using Fernández et al.’s percentiles based on WC. Descriptive statistics were performed, and Pearson’s correlation coefficient (r) was calculated, with values between 0.60 and 0.79 considered strong correlation. A p-value <0.05 and a 95% confidence level were considered significant. STATA/SE version 18.0 software was used for the analysis. Results: A total of 220 children (121 girls and 99 boys) were included. The obesity frequency was 22.27% based on BMI and 10.9% based on WC. A global correlation between BMI and WC of r = 0.7762 (p-value = 0.0000) was found. The correlation for children aged 3 to 4 years was r = 0.7986, and for those aged 4 to 5 years, r = 0.7954; for girls, it was r = 0.7755, and for boys, r = 0.7779, with p = 0.0000. Conclusion: The results show a strong correlation between body mass index and waist circumference. We recommend using WC as a complementary measure in primary care for diagnosing obesity and the early detection of cardiometabolic risk factors.
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