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BACKGROUND: Older adults spend most of their waking hours performing sedentary activities. The influence of these lifestyle patterns on the physical fitness (PF) levels of this population has not yet been sufficiently investigated. OBJECTIVE: The aim of the study was to examine whether sedentary behavior (SB) (h•d-1sitting) is associated with PF, and specifically to analyze whether sitting >4 h•d-1 is associated with higher risk of having lower levels of fitness in seniors. DESIGN: EXERNET multi-center study. PARTICIPANTS AND SETTINGS: A representative sample of 3136 non-institutionalized elderly (aged 72.2±5.3 years), from 6 Regions of Spain were included in the study. MEASUREMENTS: PF was assessed using 8 different tests from the EXERNET battery. Lifestyle patterns were collected using a validated questionnaire. ANOVA was used to compare the groups according to the hours of sitting. Binary logistic regression was used to calculate the association between the SB and low levels of fitness. RESULTS: For both genders, those who spent sitting >4 h•d-1 had lower levels of balance, agility, walking speed and aerobic endurance (p<0.001). Sedentary men also had less strength of lower extremities (p<0.05), whereas, sedentary women were less flexible in the lower extremities (p<0.001). More than 4 h•d-1 sitting was associated, in men, to higher odds for having low strength (lower extremities), agility, flexibility (lower extremities) and aerobic endurance (p<0.05); and in women, to higher risk of low balance, strength (lower and upper extremities), flexibility (lower extremities), agility, walking speed and aerobic endurance (p<0.05). CONCLUSIONS: Seniors that sit >4 h•d-1 have lower levels of fitness and this behavior is related with an increased risk of having low levels of PF in this population.

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Fundamentos: El nivel educacional se ha relacionado inversamente con la composición corporal, sin embargo esta asociación ha sido evidenciada mayoritariamente en población joven y adulta. El objetivo del presente estudio fue evaluar la relación entre la composición corporal de las personas mayores de 65 años y su nivel educativo, y determinar si tener un nivel educativo alto puede prevenir el riesgo de padecer sobrepeso, obesidad central o exceso de grasa durante la senectud. Métodos: El estudio se realizó entre los años 2008-2009, sobre una muestra representativa de personas mayores de España (n= 2,706; 629 varones, 2,077 mujeres; edad media 72,1 ± 5,3 años), pertenecientes al Proyecto Multi-céntrico EXERNET. La composición corporal se evaluó mediante bio-impedancia eléctrica. Se utilizó ANCOVA para determinar las diferencias entre grupos. La asociación entre el nivel educativo y el riesgo de padecer sobrepeso, obesidad central o exceso de grasa se analizó mediante regresión logística. Resultados: En el perímetro de cintura, los hombres y mujeres con mayor nivel de estudios presentaron 96,6 cm y 86,3 cm, respectivamente (p<0,05 y p<0,01, respectivamente). Las mujeres con menor nivel de estudios presentaron 29,5 kg de masa grasa total y 40,8% de masa grasa (p<0,05 y p<0,01, respectivamente). Los varones no presentaron diferencias en estas mediciones. Conclusiones: Poseer un bajo nivel de estudios aumenta las posibilidades de padecer sobrepeso y obesidad en las mujeres y de tener mayor perímetro de cintura en ambos sexos (AU)

Background: There is an inverse association between educational level and body composition; however this association has strongly focused in young and adults population. The aim of this study was to analyze the educational levels attained in overweight and obesity Spanish elderly and to investigate if there was a correlation between having a low educational level and the risk of having overweight, central obesity or excess fat mass during the aging process. Methods: A representative sample of 2706 elderly (629 men and 2077 women; mean age of 72.1 ± 5.3 years) from Spain were assessed in the elderly EXERNET multi-center study between 2008 and 2009. Body composition was assessed in all subjects by bioelectrical impedance. ANCOVA was used to compare the averages between the groups. Logistic regression was used to calculate the association between educational level and the risk of having overweight, central fat or obesity. Results: We observed significances between waist circumference and educational level in both sex (men 96.6 cm, women 86.3 cm); (p<0.05 and p<0.01, respective). There is an inverse association between the academic level, fat mass (29.5 kg) and percentage of body fat (40.8%) in women (p<0.05, p<0.01, respectively). No differences were observed in men. Conclusions: A low educational level increases the possibility of having overweight or obesity in women and to have an increased waist circumference in both sexes (AU)

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