ABSTRACT
Introducción: La actividad física y el fitness cardiorrespiratorio (FCR) son factores protectores en el desarrollo de cáncer. Sin embargo, se desconoce el FCR en población chilena diagnosticada con cáncer. Objetivo: Evaluar la asociación que tuvo el FCR entre las personas con y sin diagnóstico de cáncer, y secundariamente comparar la tendencia del FCR según años de diagnóstico de cáncer en población chilena. Método: Se analizaron datos de 5.483 personas de la Encuesta Nacional de Salud 2016-2017 entre 15 y 98 años. El diagnóstico de cáncer (todos los disponibles) se determinó con preguntas estandarizadas, y el FCR se calculó con método abreviado (demografía, antropometría, estilos de vida). Se realizó análisis de regresión lineal ajustado por variables de confusión con el módulo de análisis de muestras complejas del programa STATA v.16 (95% IC, p < 0,05). Resultados: Las personas con algún tipo de diagnóstico de cáncer, versus aquellas sin cáncer, presentaron un menor nivel de FCR (fi: -1,23 [95% IC: -1,52; -0,94]). Al comparar los niveles de FCR según tipo de cáncer, se observaron resultados similares para cáncer colorrectal, de mama y útero (p < 0,001), pero no para cáncer de tiroides (p = 0,253). Hubo menor FCR desde el primer año de diagnóstico de todo tipo de cáncer hasta sobre diez años, aunque no significativo (p = 0,109). Conclusión: Los diagnosticados con cáncer presentaron menor FCR comparado a los no diagnosticados. Además, en las personas con cáncer el FCR disminuye al incrementar los años desde el primer diagnóstico. Sería importante evaluar e incrementar el FCR en pacientes oncológicos.
Introduction: Physical activity and cardiorespiratory fitness (CRF) are protective factors in cancer development. However, the CRF in the Chilean population diagnosed with cancer is unknown. This study aimed to evaluate the association that the CRF had between people with and without a cancer diagnosis and, secondarily, to compare the trend of the CRF according to years of cancer diagnosis in the Chilean population. Methods: Data from 5,483 people from the 2016-2017 National Health Survey between 15 and 98 years old were analyzed. Cancer diagnosis (all available) was determined with standardized questions, and CRF was calculated with an abbreviated method (demographics, anthropometry, lifestyles). Linear regression analysis adjusted for confounding variables was performed with the complex sample analysis module of the STATA v.16 program (95% CI, p < 0.05). Results: People with some cancer diagnosis versus those without cancer had a lower FCR level (ft: -1.23 [95% CI: -1.52; -0.94]). When comparing CRF levels according to cancer type, similar results were observed for colorectal, breast, and uterine cancer (p < 0.001) but not for thyroid cancer (p = 0.253). There was lower CRF from the first year of diagnosis of all types of cancer to over ten years, although not significant (p = 0.109). Conclusions: Those diagnosed with cancer presented lower CRF compared to those not diagnosed. In addition, in people with cancer, the CRF decreased with increasing years since the first diagnosis. It would be essential to evaluate and increase CRF in cancer patients.
ABSTRACT
Background: Sedentary behaviors are one of the major risk factors for cardiovascular diseases. Aim: To identify factors associated with high sedentary behaviors in the Chilean population. Material and Methods: We included 5,040 participants from the Chilean National Health Survey 2009-2010. Physical activity level and sedentary behavior (sitting time) were measured using the Global Physical Activity Questionnaire (GPAQ v2). Highly sedentary behaviors were determined as > 4 hours per day of sitting time. Logistic regression was used to identify correlates of highly sedentary behavior. Results: Forty seven percent of the study population reported spending more than 4 hours per day sitting. The prevalence was higher in women. The main factors associated with high sedentary behavior were: high income levels (Odds ratio (OR):1.91 [95% Confidence intervals (CI:1.61-2.27]); being woman (OR:1.39 [95% CI:1.24-1.56]): having central obesity (OR:1.15 [95% CI:1.02-1.30]), being physically inactive (OR:2.35 [95% CI:2.06-2.68]), and living in an urban area (OR:1.92 [95% CI:1.63-2.26]). Other factors associates with high sedentary behavior were: being smoker, having a television set, computer and private car at their homes. Participants reporting a poor self-reported health and wellbeing and those with diabetes or metabolic syndrome were more likely to be highly sedentary. Conclusions: The main factors associated with high levels of sedentary behavior are socio-demographic issues, lifestyles and health status.