Vicente Martín1, Jesús Castilla2, Pere Godoy3, Miguel Delgado-Rodríguez4, Nuria Soldevila5, Tania Fernández-Villa6, Antonio J Molina6, Jenaro Astray7, Ady Castro8, Fernando González-Candelas9, José María Mayoral10, José María Quintana11, Ángela Domínguez12. 1. Grupo de Investigación interacciones gen-ambiente y salud, Universidad de León, León, España; CIBER Epidemiología y Salud Pública, Madrid, España. Electronic address: vicente.martin@unileon.es. 2. CIBER Epidemiología y Salud Pública, Madrid, España; Instituto de Salud Pública de Navarra, Pamplona, España. 3. CIBER Epidemiología y Salud Pública, Madrid, España; Departament de Salut, Generalitat de Catalunya, Barcelona, España. 4. CIBER Epidemiología y Salud Pública, Madrid, España; División de Medicina Preventiva y Salud Pública, Universidad de Jaén, Jaén, España. 5. CIBER Epidemiología y Salud Pública, Madrid, España. 6. Grupo de Investigación interacciones gen-ambiente y salud, Universidad de León, León, España. 7. Subdirección de Vigilancia, Comunidad de Madrid, Madrid, España. 8. CIBER Enfermedades Respiratorias, Madrid, España. 9. CIBER Epidemiología y Salud Pública, Madrid, España; Unidad Mixta Genómica y Salud CSISP (FISABIO), Universitat de València, Valencia, España. 10. Servicio de Vigilancia de Andalucía, Sevilla, España. 11. CIBER Epidemiología y Salud Pública, Madrid, España; Fundación Vasca de Innovación e Investigación Sanitarias, Sondika, Vizcaya, España. 12. CIBER Epidemiología y Salud Pública, Madrid, España; Departament de Salut Pública, Universitat de Barcelona, Barcelona, España.
Abstract
INTRODUCTION: Obesity has emerged as a significant independent predictor of severity in pandemic influenzaA (H1N1)pdm09. The aim of this study was to investigate the association between body mass index (BMI) and the risk of hospitalization due to influenza. METHODS: Hospitalized patients (n=755) with laboratory-confirmed influenza were individually matched by age, admission/visit date, and province with an outpatient (n=783) with laboratory-confirmed influenza and an outpatient control (n=950). We compared the BMI using conditional logistic regression adjusted for potential confounding factors (aOR). The population attributable fraction (PAF) was calculated. RESULTS: A higher BMI was associated with an increased risk of hospitalization compared to both outpatient cases (aOR=1.11; 95%CI: 1.07-1.16) and outpatient controls (aOR=1.04; 95%CI: 1.01-1.07). Compared with normal weight, obesity type I, obesity type II and obesity type III was associated with a greater likelihood of hospitalization compared with outpatient cases (aOR=1.85, 95%CI: 1.05-3.26; aOR=5.24, 95%CI: 1.94-14.15 and aOR=44.38, 95%CI: 4.47-440.5). Compared with normal weight, obesity type II and obesity type III was associated with a greater likelihood of hospitalization compared with outpatient controls (aOR=4.37, 95%CI: 1.79-10.69 and aOR=4.95, 95%CI: 1.45-16.87). In persons without influenza vaccination, all categories of BMI≥30kg/m(2) were associated with a greater likelihood of hospitalization compared with normal weight in both outpatient cases and outpatient controls. The PAF of hospitalization by influenza due to BMI ranged from 21.9% to 8.5%; in the case of unvaccinated against influenza between 20.5% to 16.9%. CONCLUSION: A high BMI is associated with an increased risk of hospitalization due to influenza. High percentage of hospital admissions are attributable to their BMI, especially in non vaccinated.
INTRODUCTION: Obesity has emerged as a significant independent predictor of severity in pandemic influenzaA (H1N1)pdm09. The aim of this study was to investigate the association between body mass index (BMI) and the risk of hospitalization due to influenza. METHODS: Hospitalized patients (n=755) with laboratory-confirmed influenza were individually matched by age, admission/visit date, and province with an outpatient (n=783) with laboratory-confirmed influenza and an outpatient control (n=950). We compared the BMI using conditional logistic regression adjusted for potential confounding factors (aOR). The population attributable fraction (PAF) was calculated. RESULTS: A higher BMI was associated with an increased risk of hospitalization compared to both outpatient cases (aOR=1.11; 95%CI: 1.07-1.16) and outpatient controls (aOR=1.04; 95%CI: 1.01-1.07). Compared with normal weight, obesity type I, obesity type II and obesity type III was associated with a greater likelihood of hospitalization compared with outpatient cases (aOR=1.85, 95%CI: 1.05-3.26; aOR=5.24, 95%CI: 1.94-14.15 and aOR=44.38, 95%CI: 4.47-440.5). Compared with normal weight, obesity type II and obesity type III was associated with a greater likelihood of hospitalization compared with outpatient controls (aOR=4.37, 95%CI: 1.79-10.69 and aOR=4.95, 95%CI: 1.45-16.87). In persons without influenza vaccination, all categories of BMI≥30kg/m(2) were associated with a greater likelihood of hospitalization compared with normal weight in both outpatient cases and outpatient controls. The PAF of hospitalization by influenza due to BMI ranged from 21.9% to 8.5%; in the case of unvaccinated against influenza between 20.5% to 16.9%. CONCLUSION: A high BMI is associated with an increased risk of hospitalization due to influenza. High percentage of hospital admissions are attributable to their BMI, especially in non vaccinated.
Keywords:
Body mass index; Case control study; Estudio de casos y controles; Fracción atribuible poblacional; Gripe; Hospitalization risk; Influenza; Obesidad; Obesity; Population attributable fraction; Riesgo de hospitalización; Índice de masa corporal
Authors: Indranil Bhattacharya; Chafik Ghayor; Ana Pérez Dominguez; Franz E Weber Journal: Front Endocrinol (Lausanne) Date: 2020-10-06 Impact factor: 5.555