5 resultados para years of life lost

em Universidad del Rosario, Colombia


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Introducción: los AVAD (años de vida ajustados a discapacidad) son la unidad de medida de la carga de enfermedad, permiten estimar las pérdidas de salud para una población con respecto a las consecuencias mortales y no mortales de las enfermedades. Metodología: se siguió la metodología del estudio de Carga Global de Enfermedad 2001. Para cálcular los AVAD´s se generan primero sus insumos: Años Vividos con Discapacidad y Años de Vida perdidos por muerte Prematura para lo cual se realizó una tabla de vida actual para la mortalidad general y se tomó la prevalencia de las enfermedades para la morbilidad. Resultados: la tasa de AVAD´s estimada en este estudio fue de 246 AVAD´s por mil personas, correspondientes a 366678 AVAD´s totales, concentrados en su mayoría en las enfermedades del grupo II con un total de 228 AVAD´s por mil habitantes, seguido del grupo I con 17,3 AVAD´s por mil habitantes; y con la menor participación, el grupo III con 0,6 AVAD´s. Los AVAD´s dependientes de la mortalidad fueron 2,4 por mil personas y 244 por discapacidad. La Enfermedad Pulmonar Obstructiva Crónica en ambos géneros ocupa el primer lugar como enfermedad generadora de AVAD´s. Discusión: el 17% de AVAD´s en este estudio pertenecen al grupo I, cifra que se aproxima a la obtenida en nuestro país. El menor peso porcentual se encuentra en el número de AVAD´s del grupo III tanto para Colombia como para la E.P.S. Las limitaciones del estudio se relacionan con la calidad de los datos de los registros de mortalidad.

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The objectives of this study are to investigate the association between cardiorespiratory fitness and cardiovascular risk factors in schoolchildren and to evaluate the degree of association between overall and abdominal adiposity and cardiorespiratory fitness. A total of 1,875 children and adolescents attending public schools in Bogota, Colombia (56.2% girls; age range of 9–17.9 years). A cardiovascular risk score (Z-score) was calculated and participants were divided into tertiles according to low and high levels of overall (sum of the skinfold thicknesses) and abdominal adiposity. Schoolchildren with a high level of overall adiposity demonstrated significant differences in seven of the 10 variables analyzed (i.e. systolic and diastolic blood pressure, triglycerides, triglycerides/HDL-c ratio, total cholesterol, glucose and cardiovascular risk score). Schoolchildren with high levels of both overall and abdominal adiposity and low cardiorespiratory fitness had the least favorable cardiovascular risk factors score. These findings may be relevant to health promotion in Colombian youth.

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Background: Indices predictive of central obesity include waist circumference (WC) and waist-to-height ratio (WHtR). The aims of this study were 1) to establish a Colombian youth smoothed centile charts and LMS tables for WC and WHtR and 2) to evaluate the utility of these parameters as predictors of overweight and obesity. Method: A cross-sectional study whose sample population comprised 7954 healthy Colombian schoolchildren [boys n=3460 and girls n=4494, mean (standard deviation) age 12.8 (2.3) years old]. Weight, height, body mass index (BMI), WC and WHtR and its percentiles were calculated. Appropriate cut-offs point of WC and WHtR for overweight and obesity, as defined by the International Obesity Task Force (IOTF) definitions, were selected using receiver operating characteristic (ROC) analysis. The discriminating power of WC and WHtR was expressed as area under the curve (AUC). Results: Reference values for WC and WHtR are presented. Mean WC increased and WHtR decreased with age for both genders. We found a moderate positive correlation between WC and BMI (r= 0.756, P < 0.01) and WHtR and BMI (r= 0.604, P < 0.01). The ROC analysis showed a high discrimination power in the identification of overweight and obesity for both measures in our sample population. Overall, WHtR was slightly a better predictor for overweight/obesity (AUC 95% CI 0.868-0.916) than the WC (AUC 95% CI 0.862-0.904). Conclusion: This paper presents the first sex- and age-specific WC and WHtR percentiles for both measures among Colombian children and adolescents aged 9–17.9 years. By providing LMS tables for Latin-American people based on Colombian reference data, we hope to provide quantitative tools for the study of obesity and its comorbidities.

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The goal of this research was to identify predic- tive psychosocial factors of the subjective quality of life in a group of 60 people, with ages between 19 and 57, from both sexes, included in the program of demobilization and social inclusion of the Pro- grama de la Alta Consejería para la Reintegración Social y Económica de Personas y Grupos Alzados en Armas en Colombia. this research was a predic- tive correlational descriptive study. the Question- naire of optimism/Pessimism was used to assess the optimist or pessimist trend, and, for assess the quality of life, these strategies were combined: a home visit to value the objective quality of life, the Analogous scale of subjective Quality of Life to value satisfaction and well-being, and a general format to collect socio-demographic and juridical information. Results show that some variables as perceived health, optimism, educational level, re- ligious believes, objective quality of life, type of demobilization and years spent in the armed group operating outside the law, are associated to better levels of perceived quality of life. The findings and limitations of the study are discussed.  

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Aim: Examine the relationship between the functional capacity and the quality of life related to health in university workers. Methodology: Cross-sectional study in 146 subjects, divided in two groups: Low functional Capacity (< 9 METs) and High functional Capacity (> 9.1 METs). We evaluated quality of life related to health (HRQOL-Health Questionnaire SF-12) and functional capacity (Questionnaire PAR/PAF) as indicators of health status. Results: 47.3% (69 men) and 52.7% (78 women). The average age of the groups was 35.0 ± 9.7 years (range 19,0-60,0 years). For HRQOL, the average found in the population assessed was 45.2 ± 4.42 (range 33,0-58,1) and 43.8 ± 6.87 (range 19,8-43,8) in components Physical Component Summary (PCS-12) and Mental Component Summary (MCS-12), respectively p = NS. Significant differences were found when comparing functional ability and sex, p<0,001 in both groups. Similarly, sex and mental component MCS-12 (group of Lower Functional) p = 0,049 as well as women and the physical component PCS-12, p = 0,05 between groups. Finally, a better score in HRQL observed in the group of High Capacity and functional components in both sex OR 0.59 (0.25-1.38). Conclusions: The results of this study demonstrate the relationship between High functional Capacity and a better HRQOL in this population.