Gravedad de COVID-19 atribuible a obesidad según IMC y CUN-BAE / Severity of COVID-19 attributable to obesity according to BMI and CUN-BAE

Introducción La obesidad es considerada un factor de riesgo en casos graves de la COVID-19, habiendo sido analizada mediante el índice de masa corporal (IMC), estimador que no correlaciona adecuadamente con el porcentaje de grasa corporal (GC). El objetivo de este estudio ha sido analizar la fracción atribuible poblacional a la GC en formas graves de COVID-19 atendiendo al IMC y al CUN-BAE. Material y métodos Estudio multicéntrico observacional de prevalencia. Se recogió información sociodemográfica, antecedentes personales, IMC y CUN-BAE, de casos positivos SARS-CoV-2, de las provincias de León y La Rioja. Mediante modelos de regresión logística se calcularon odds ratio con sus respectivos intervalos de confianza del 95% ajustando por edad y antecedentes personales, así como la fracción atribuible poblacional a la GC. Resultados Participaron 785 pacientes, 123 (15,7%) fueron graves. Se detectaron como factores de riesgo la edad, la obesidad (tanto por IMC como por CUN-BAE) y los antecedentes personales. Un 51,6% de casos graves podrían ser atribuidos a un exceso de IMC y un 61,4% a exceso de GC estimada según CUN-BAE, observándose una mayor infraestimación del riesgo en mujeres. Conclusiones El exceso de GC es un factor de riesgo para formas graves de la COVID-19 junto con la edad avanzada y la presencia de enfermedades cardiovasculares, respiratorias crónicas u oncohematológicas. El IMC infraestima el riesgo, especialmente en mujeres, siendo el CUN-BAE el predictor seleccionado por su mejor estimación del porcentaje de GC (AU)

Introduction Obesity is considered a risk factor in severe cases of COVID-19, which has been analysed using body mass index (BMI), an estimator that does not correlate adequately with body fat (BF) percentage. The aim of this study was to analyse the population attributable fraction to BF in severe forms of COVID-19 based on BMI and CUN-BAE. Material and methods Multicentre observational prevalence study. Sociodemographic information, personal history, BMI and CUN-BAE were collected in SARS-CoV-2 positive cases from the provinces of León and La Rioja. Logistic regression models were used to calculate odds ratios with their respective 95% confidence intervals adjusting for age and personal history, as well as the population attributable fraction to BF. Results Seven hundred eighty-five patients participated, 123 (15.7%) were severe. Age, obesity (both by BMI and CUN-BAE) and personal history were detected as risk factors. 51.6% of severe cases could be attributed to excess BMI and 61.4% to excess BF estimated according to CUN-BAE, with a higher underestimation of risk in women. Conclusions Excess BF is a risk factor for severe forms of COVID-19 together with advanced age and the presence of cardiovascular, chronic respiratory or oncohematological diseases. BMI underestimates the risk especially in women, being CUN-BAE the predictor selected for its better estimation of the percentage of BF (AU)

[Severity of COVID-19 attributable to obesity according to BMI and CUN-BAE]. / Gravedad de COVID-19 atribuible a obesidad según IMC y CUN-BAE.

INTRODUCTION: Obesity is considered a risk factor in severe cases of COVID-19, which has been analysed using body mass index (BMI), an estimator that does not correlate adequately with body fat (BF) percentage. The aim of this study was to analyse the population attributable fraction to BF in severe forms of COVID-19 based on BMI and CUN-BAE. MATERIAL AND METHODS: Multicentre observational prevalence study. Sociodemographic information, personal history, BMI and CUN-BAE were collected in SARS-CoV-2 positive cases from the provinces of León and La Rioja. Logistic regression models were used to calculate odds ratios with their respective 95% confidence intervals adjusting for age and personal history, as well as the population attributable fraction to BF. RESULTS: Seven hundred eighty-five patients participated, 123 (15.7%) were severe. Age, obesity (both by BMI and CUN-BAE) and personal history were detected as risk factors. 51.6% of severe cases could be attributed to excess BMI and 61.4% to excess BF estimated according to CUN-BAE, with a higher underestimation of risk in women. CONCLUSIONS: Excess BF is a risk factor for severe forms of COVID-19 together with advanced age and the presence of cardiovascular, chronic respiratory or oncohematological diseases. BMI underestimates the risk especially in women, being CUN-BAE the predictor selected for its better estimation of the percentage of BF.

Health-related quality of life in individuals with metabolic syndrome: a cross-sectional study / Calidad de vida relacionada con la salud en individuos con síndrome metabólico: un estudio descriptivo

INTRODUCTION AND OBJECTIVES: Metabolic syndrome (MetS) is a combination of various cardiovascular risk factors with a major impact on morbidity and premature mortality. However, the impact of MetS on self-reported health-related quality of life (HRQoL) is unknown. This study evaluated the HRQoL in a Spanish adult population aged 55 years and older with MetS. METHOD: A cross-sectional analysis was performed with baseline data from the PREDIMED-Plus multicentre randomized trial. The participants were 6430 men and women aged 55-75 years with overweight/obesity (body mass index ≥27 and ≤40kg/m2) and MetS. The SF-36 questionnaire was used as a tool to measure HRQoL. Scores were calculated on each scale of the SF-36 by gender and age. RESULTS: Participants showed higher scores in the social function (mean 85.9, 95% CI; 85.4-86.4) and emotional role scales (mean 86.8, 95% CI; 86.0-87.5). By contrast, the worst scores were obtained in the aggregated physical dimensions. In addition, men obtained higher scores than women on all scales. Among men, the worst score was obtained in general health (mean 65.6, 95% CI; 65.0-66.2), and among women, in body pain (mean 54.3, 95%CI; 53.4-55.2). A significant decrease was found in the aggregated physical dimensions score among participants 70-75 years old, but an increased one in the aggregated mental dimensions, compared to younger participants. CONCLUSIONS: Our results reflect that the MetS may negatively affect HRQoL in the aggregated physical dimensions, body pain in women, and general health in men. However, this adverse association was absent for the psychological dimensions of HRQoL, which were less affected

INTRODUCCIÓN Y OBJETIVOS: El síndrome metabólico (SM) es la combinación de diversos factores de riesgo cardiovascular que pueden derivar en un mayor impacto en la morbimortalidad prematura. Sin embargo, el impacto del SM en la calidad de vida relacionada con la salud (CVRS) es desconocido. El objetivo de este estudio es evaluar la CVRS en la población adulta española de 55 años o más con SM. MÉTODOS: Se realizó un análisis transversal con los datos del ensayo PREDIMED-Plus. Seis mil cuatrocientos treinta varones y mujeres entre 55-75 años con sobrepeso/obesidad y SM. El instrumento de medida de la CVRS fue el cuestionario SF-36. Cada escala del SF-36 fue descrita y estratificada por sexo. RESULTADOS: Los participantes mostraron valores más altos en las escalas función social (media: 85,9; IC 95%: 85,4-86,4) y rol emocional (media: 86,8; IC 95%: 86,0-87,5). En los varones, la peor puntuación fue en la dimensión salud general (media: 65,6; IC 95%: 65,0-66,2) y en las mujeres el dolor corporal (media: 54,3; IC 95%: 53,4-55,2). Además, los varones obtuvieron puntuaciones más altas en todas las escalas. En la escala función física en varones se encontró una disminución significativa de la CVRS en los participantes entre 70 y 75 años en comparación con los más jóvenes. Las peores puntuaciones se obtuvieron en las dimensiones físicas agregadas. CONCLUSIONES: El SM afecta de manera negativa a la CVRS en las dimensiones agregadas físicas, haciendo especial hincapié en la esfera dolor corporal en mujeres y salud general en varones. Sin embargo, las esferas psicológicas se encuentran menos afectadas por el SM

Health-related quality of life in individuals with metabolic syndrome: A cross-sectional study.

INTRODUCTION AND OBJECTIVES: Metabolic syndrome (MetS) is a combination of various cardiovascular risk factors with a major impact on morbidity and premature mortality. However, the impact of MetS on self-reported health-related quality of life (HRQoL) is unknown. This study evaluated the HRQoL in a Spanish adult population aged 55 years and older with MetS. METHOD: A cross-sectional analysis was performed with baseline data from the PREDIMED-Plus multicentre randomized trial. The participants were 6430 men and women aged 55-75 years with overweight/obesity (body mass index ≥27 and ≤40kg/m2) and MetS. The SF-36 questionnaire was used as a tool to measure HRQoL. Scores were calculated on each scale of the SF-36 by gender and age. RESULTS: Participants showed higher scores in the social function (mean 85.9, 95% CI; 85.4-86.4) and emotional role scales (mean 86.8, 95% CI; 86.0-87.5). By contrast, the worst scores were obtained in the aggregated physical dimensions. In addition, men obtained higher scores than women on all scales. Among men, the worst score was obtained in general health (mean 65.6, 95% CI; 65.0-66.2), and among women, in body pain (mean 54.3, 95%CI; 53.4-55.2). A significant decrease was found in the aggregated physical dimensions score among participants 70-75 years old, but an increased one in the aggregated mental dimensions, compared to younger participants. CONCLUSIONS: Our results reflect that the MetS may negatively affect HRQoL in the aggregated physical dimensions, body pain in women, and general health in men. However, this adverse association was absent for the psychological dimensions of HRQoL, which were less affected.