Gaceta sanitaria · 2025
[Estimation of insulin resistance using anthropometry and fasting glucose in Mexican population].
Аннотация на английскомСтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
López-Velázquez María Guadalupe, Camacho-Calderón Nicolás, Torres-Juárez Jorge Arturo, Moreno-Ramírez María Del Rosario, Díaz-Martel Aida Guadalupe, Díaz-Ortegón David Salvador, Mondragón-Rodríguez Siddhartha, Campos-Ramírez César
Аннотация
OBJECTIVE: To develop and internally validate a mathematical model to estimate insulin resistance (IR) using two variables: body mass index (BMI) and fasting glucose. This model is called "BMI-glucose index".
METHOD: Cross-sectional study in a Mexican population. 112 participants were evaluated using standardized blood sampling methods and anthropometric measurements. A mathematical model was obtained using binomial logistic regression, internally validated, and its clinical utility was determined.
RESULTS: The BMI-glucose index had an AUC of 0.872 (95%CI: 0.807-0.936; p <0.001) and a cutoff point of 0.30, with a sensitivity of 93% and a specificity of 69%.
CONCLUSIONS: Our results show good preliminary diagnostic capacity, which should be confirmed in larger, longitudinal population studies for its possible application in primary healthcare as a screening method to detect individuals with IR.
METHOD: Cross-sectional study in a Mexican population. 112 participants were evaluated using standardized blood sampling methods and anthropometric measurements. A mathematical model was obtained using binomial logistic regression, internally validated, and its clinical utility was determined.
RESULTS: The BMI-glucose index had an AUC of 0.872 (95%CI: 0.807-0.936; p <0.001) and a cutoff point of 0.30, with a sensitivity of 93% and a specificity of 69%.
CONCLUSIONS: Our results show good preliminary diagnostic capacity, which should be confirmed in larger, longitudinal population studies for its possible application in primary healthcare as a screening method to detect individuals with IR.