Bibliographic citations
Soriano, A., (2024). Índice de masa corporal y respuesta broncodilatadora en adultos: análisis de dos estudios poblacionales en Sudamérica [Universidad Peruana Cayetano Heredia]. https://hdl.handle.net/20.500.12866/15345
Soriano, A., Índice de masa corporal y respuesta broncodilatadora en adultos: análisis de dos estudios poblacionales en Sudamérica []. PE: Universidad Peruana Cayetano Heredia; 2024. https://hdl.handle.net/20.500.12866/15345
@mastersthesis{renati/911254,
title = "Índice de masa corporal y respuesta broncodilatadora en adultos: análisis de dos estudios poblacionales en Sudamérica",
author = "Soriano Moreno, Anderson Nelver Elias",
publisher = "Universidad Peruana Cayetano Heredia",
year = "2024"
}
Introduction: Chronic respiratory pathologies are increasingly common, and it is important to identify factors affecting lung functionality, such as nutritional status alterations. Overweight is currently an epidemic, and studies suggest it could affect bronchial capacity to relax and contract. However, there’s limited evidence from population studies in South America evaluating the association between BMI and bronchodilator response. Objective: To determine the association between body mass index (BMI) and bronchodilator response in adult populations from four South American countries. Methods: This cross-sectional study analyzed baseline data from participants in the CRONICAS cohort conducted in Peru and the PRISA cohort conducted in Chile, Uruguay, and Argentina. Both studies included a general adult population from ten locations ranging from 0 to 3825 meters above sea level. We defined a positive bronchodilator response as a 12% increase and 200 ml increase in forced expiratory volume in one second (FEV1) or forced vital capacity (FVC) after the administration of a short-acting bronchodilator, otherwise considered negative response. BMI, the independent variable, was analyzed both numerically (kg/m2) and categorized as <25, 25-29.9, and ≥30 kg/m2. We calculated odds ratios with 95% confidence intervals through logistic regression adjusting for confounding variables based on an epidemiological model. The analysis was conducted on the total sample and also stratified according to lung disease history. Results: Both studies enrolled 7311 individuals, with 7160 (97.9%) included in this investigation. 55.2% were female, and the mean age was 57.3 ± 10.3 years. 23.7% had BMI <25 kg/m2, and 35.5% had BMI >29.9 kg/m2. The prevalence of positive bronchodilator response was 9.5%. Analyzing the entire sample, regression analyses did not show an association between categorized or numerical BMI and positive bronchodilator response. However, when stratified, it was evident that among individuals without lung pathologies, for each additional BMI point, the odds of bronchodilator response increased by 2,1% (adjusted OR, 1.021; 95% CI, 1.001–1.040), after adjusting for confounding variables. Conclusion: We found evidence that higher BMI might be associated with bronchodilator response in individuals without a history of COPD, asthma, chronic bronchitis, or previous tuberculosis; but not in individuals with these pathologies.
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