6 research outputs found

    Correlatos de Educación Física medidos objetivamentes en adolescentes con síndrome de Down : Estudio UP & DOWN

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    Introduction: correlates of physical activity (PA) have not been explored in adolescents with Down syndrome (DS). Understanding correlates of PA could provide information to develop strategies to increase levels of PA in this target population. Objective: the aim of this study was to identify potential correlates of PA in adolescents with DS. Method: information about levels of PA and their potential correlates was collected in 98 adolescents with DS (63 males, aged 11-20 years) using accelerometers and proxy-reported questionnaires. Analysis of covariance and multiple linear regression analyses were conducted to examine correlates of PA. Result: our findings showed that participant’s age and socioeconomic status were associated with levels of PA as non-modifiable correlates. Also, parental support, father PA, television-viewing time with siblings and with friends were associated with levels of PA as modifiable correlates. Discussion and conclusion: both modifiable and non-modifiable factors are associated with levels of PA in adolescents with DS. Therefore, a better understanding of correlates of PA could contribute to develop strategies on PA promotion in adolescents with DS.Introducción: los correlatos de actividad física (AF) no han sido estudiados en adolescentes con síndrome de Down (SD). Entendiendo los correlatos de AF se podría aportar información para desarrollar estrategias para incrementar los niveles de AF en esta población diana. Objetivo: el objetivo de este estudio fue identificar correlatos de AF en adolescentes con SD. Métodos: la información de los niveles de AF y sus potenciales correlatos fue recogida en 98 adolescentes con SD (63 hombres, con edades comprendidas entre 11-20 años), usando acelerómetros y cuestionarios proxy-reportados. Se utilizó análisis de covarianza y análisis de regresión lineal múltiple para examinar los correlatos de AF. Resultados: nuestros resultados muestran que la edad y el estatus socioeconómico de los participantes fue asociado con niveles de AF como correlatos no modificables. Además, el apoyo de los padres, la AF del padre y el tiempo dedicado a ver la televisión con hermanos y amigos fueron asociados con niveles de AF como correlatos modificables. Discusión y conclusión: ambos factores modificables y no modificables se asocian con niveles de AF en adolescentes con SD. Por lo tanto, una mejor comprensión de los correlatos de AF podría contribuir a desarrollar estrategias de promoción de la AF en adolescentes con SD

    ¿Son el bajo nivel de condición física y la obesidad dos características del adolescente con síndrome de Down?

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    Introduction: “Obesity” is considered a feature of youth with DS but whether “low physical fitness” is also a feature is unknown. Objective: The aim of this case-control study was to compare the levels of fatness and fitness in adolescents with and without DS. Methods: Participants included 17 (5 girls) adolescents with DS aged 12-18 years and a control group of 94 (45 girls) adolescents without DS aged 12-16 years. The ALPHA health-related fitness test battery for children and adolescents was selected to assess fatness and fitness in both groups. Results: There were no differences in levels of fatness between groups (all P > 0.27). Adolescents with DS had lower levels of fitness in all the tests than adolescents without DS (all P < 0.001). Conclusion: Adolescents with DS have similar levels of fatness and lower levels of fitness than their peers without DSIntroducción: La obesidad es considerada una característica de los jóvenes con SD, sin embargo se desconoce si la “baja condición física” también lo es. Objetivo: Comparar los niveles de obesidad y condición física en adolescentes con y sin SD. Métodos: Participaron 17 adolescentes (5 niñas) con SD de 12 a 18 años y un grupo control de 94 (45 niñas) adolescentes sin SD de 12-16 años de edad. La batería de condición física ALPHA relacionada con la salud para niños y adolescentes fue seleccionada para evaluar la obesidad y la condición física en ambos grupos. Resultados: No se encontraron diferencias en los niveles de obesidad entre grupos (P > 0,27). Los adolescentes con SD tuvieron niveles más bajos de condición física en todos los test en comparación con los adolescentes sin SD (P < 0,001). Conclusión: Los adolescentes con SD tienen niveles similares de obesidad y menores de condición física que sus compañeros sin SD.The UP&DOWN study was supported by the Spanish Ministry of Economy and Competitiveness (DEP 2010-21662-C04). JRR was supported by a contract from the Spanish Ministry of Science and Innovation (RYC-2010-05957

    Independent and combined associations of physical fitness components with inflammatory biomarkers in children and adolescents

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    [Background]: We aimed to examine the independent and combined associations of cardiorespiratory fitness, muscular fitness, and motor ability with single and clustered inflammatory biomarkers in children and adolescents.[Methods]: This study included 503 children and adolescents. Cardiorespiratory fitness, upper- and lower-muscular fitness, and motor ability were assessed using field-based tests. Fasting blood samples were obtained to determine the levels of a set of inflammatory biomarkers. Global physical fitness and clustered inflammatory biomarker scores were computed. Associations between physical fitness and inflammatory biomarkers were analyzed through linear regression. Differences in inflammatory biomarker levels between physical fitness tertiles were tested.[Results]: Global physical fitness was inversely associated with single and clustered inflammatory biomarkers in children (p < 0.05); and with C-reactive protein, complement factor C4, leptin, and clustered inflammatory biomarkers in adolescents (p < 0.025). Cardiorespiratory fitness and upper-muscular fitness were negatively and independently associated with several single and clustered inflammatory biomarkers in children and adolescents (p < 0.05). Differences were found between the lowest and the highest tertiles of global physical fitness in clustered inflammatory biomarker levels (p < 0.010).[Conclusion]: Physical fitness was negatively associated with single and clustered inflammatory biomarkers, independently of body mass index. Increasing physical fitness levels in youth might contribute to reduce the cardiovascular risk.This work was supported by the National Plan for Research, Development, and Innovation (R + D + i) from the Spanish Ministry of Science and Innovation [DEP 2010-21662-C04-00 (DEP 2010-21662-C04-01: DEP 2010-21662-C04-02: DEP 2010-21662-C04-03: DEP 2010-21662-C04-04)]; and by the Spanish Ministry of Education [FPU15/05337].Peer reviewe

    Cardiorespiratory fitness cutoff points for early detection of present and future cardiovascular risk in children: A 2-year follow-up study

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    On behalf of the UP&DOWN Study Group.[Objective]: To examine the association between cardiorespiratory fitness (CRF) at baseline and cardiovascular disease (CVD) risk in 6- to 10-year-olds (cross-sectional) and 2 years later (8- to 12-year-olds [longitudinal]) and whether changes with age in CRF are associated with CVD risk in children aged 8 to 12 years. [Patients and Methods]: Spanish primary schoolchildren (n=236) aged 6 to 10 years participated at baseline. Of the 23 participating primary schools, 22% (n=5) were private schools and 78% (n=18) were public schools. The dropout rate at 2-year follow-up was 9.7% (n=23). The 20-m shuttle run test was used to estimate CRF. The CVD risk score was computed as the mean of 5 CVD risk factor standardized scores: sum of 2 skinfolds, systolic blood pressure, insulin/glucose, triglycerides, and total cholesterol/high-density lipoprotein cholesterol. [Results]: At baseline, CRF was inversely associated with single CVD risk factors (all P0.85; P<.001) and to predict CVD risk 2 years later (P=.004). Persistent low CRF or the decline of CRF from 6-10 to 8-12 years of age is associated with increased CVD risk at age 8 to 12 years (P<.001). [Conclusion]: During childhood, CRF is a strong predictor of CVD risk and should be monitored to identify children with potential CVD risk.This work was supported by grant DEP 2010-21662-C04-00 (DEP 2010-21662-C04-01: DEP 2010-21662-C04-02: DEP 2010-21662-C04-03: DEP 2010-21662-C04-04) from the National Plan for Research: Development and Innovation (R+D+i) MICINN and by grant FPU15/05337 from the Spanish Ministry of Education.Peer Reviewe
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