ObjectifsL’objectif principal a été de déterminer la quantité d’activité physique chez des enfants de 8- 16 ans,scolarisés dans la ville de Bogota (Colombie) vivant à l’altitude de 2640 mètres. Cette activité, mesurée pendant les périodes scolaires et de vacances et agrégée sur une année, a été exprimée en dépensed’énergie rapportée à la journée (DEJmA, kJ.kg-1.jour-1). Cette activité DEJmA a été secondairementanalysée en fonction de l’âge, du genre, du niveau Socioéconomique (NSE), des donnéesanthropométriques individuelles incluant l’âge biologique (Tanner), la composition corporelle, lesomatotype et la condition physique (EUROFIT).MéthodesCette étude d’épidémiologie descriptive et analytique a comporté cinq phases successives : 1)Elaboration d’un questionnaire QAPACE et formation des chercheurs; 2) Test de compréhension duquestionnaire QAPACE; 3) Etude de faisabilité et reproductibilité de QAPACE; 4) Etude de validationsur un échantillon (36 sujets) des mesures de DEJ par rapport à la mesure de VO2max, selon deuxméthodes directe (cycle d’ergospirométrie) et indirecte (test de Léger); 5) Analyse générale d’unéchantillon représentatif de 1840 enfants selon un sondage en grappe randomisé à deux niveaux (écoles,classes). Le questionnaire étudiait 13 grandes catégories d’activités.Les analyses des données de reproductibilité et de validation ont reposé la méthode de Bland et Altmanet la mesure du CCI. La dépendance de la DEJ en fonction des données socio- économiques et desdonnées anthropométriques a été étudiée avec des méthodes de régression linéaire uni- et multivariée(SPSS 21).RésultatsLe questionnaire, adapté à la population d’enfants de langue hispaniauem a présenté une corrélationintra classe CCI=0.96 (CI 0.95-0.97). La validité avec la mesure de VO2max (direct et indirect) a été de0.76(0.66) (p<0.01). La DEJ moyenne sur les 1840 enfants étaient, chez les 904 garçons, 167.98±37.30kJ.kg-1.jour-1 (valeur absolue : 6.83 MJ/Jour, relative : 170.41±39.92) et, chez les 936 filles165.64±34.26 kJ/kg/jour (p<0.01) (6.59 MJ/jour, 165.64 ±34.26 kJ/kg/j). La DEJ pour la périodescolaire et de vacances fut 158.43±42.99 et 199.44±18.55 kJ/kg/jour (p<0.01) pour les garçons et lesfilles respectivement. La DEJ durant le temps libre fut de 59.86±44.16 chez les garçons et 53.81±37.11kJ/kg/jour (p<0.01) pour les filles.ConclusionsSur la base d’une bonne reproductibilité et validité du questionnaire QAPACE, la DEJ (kJ.kg-1.jour-1)rapporté au poids corporel total ou au poids maigre a donné des résultats inférieurs à ceux d’autresétudes, avec notamment 51% des garçons et 61% de filles inactifs, respectivement. Les garçons furentplus actifs que les filles dans le groupe post pubères (p<0.01). Le temps consacré à regarder la TV étaitde 4.2 heures/jour. Les sports les plus pratiqués étaient le football, le cyclisme, et la marche pour lesgarçons et la marche, le cyclisme et le patinage pour les filles. / ObjectivesThe first statement was to determine the amount of physical activity expressed in expenditure weightedaverage day of a year (DEEmY) energy during the school year and holidays (kJ.kg-1.day-1) in terms ofequivalence caloric and metabolic cost of activities most commonly performed by young people. Thesecond statement was that of defining the relationship between the DEEmY vs age, gender,socioeconomic level (SEL), height, body weight, body surface (BS), the Body Mass Index (BMI),biological age (Tanner), body composition, somatotype and fitness (EUROFIT).MethodsThis descriptive study developed five different phases: the first phase: it was the training of researchers,the second phase: understanding and final questionnaire editing QAPACE, in the third phase: feasibilityand reproducibility of QAPACE in the fourth stage: it was the validation study by direct VO2max (36subjects) by ergospirometry and indirect through the test Leger and the fifth phase cycle was developedin 1840 with the general study subjects. The questionnaire was developed by 13 categories. Forreproducibility and validation of the test-Retest method and comparison of arithmetic by the method ofBland-Altman, Pearson correlation was applied. The data is stored in Visual Fox Pro 6.0 and analyzedusing SPSS 21 statistical program IBM. Means were compared using multivariate linear model applyingtipe II.The values used as fixed variables: gender (male and female), age (8-16 years) and three SEL (six strata:1-2, 3-4 and 5-6); as dependent variables were evaluated: height, weight, leisure time, expressed inhours/day and daily energy expenditure DEE (Kj.kg-1.day-1) during leisure time (DEE-LT) during thetime school (DEE-ST) during the holidays (DEE-VT), and DEE total mean year (DEEmTY).For a post-Hoc analysis was used the minimum significant difference (MSD) with fixed factors,interaction factors descriptive statistics, tests of homogeneity with a significance level of 0.05.ResultsThe questionnaire was correct understanding of the reproducibility intra-Class correlation was r = 0.96(CI 0.95-0.97), the validity of the direct and indirect VO2 was 0.76 (0.66) (p <0.01) and for generalstudy quantifying the average of the DEE of 1840 subjects was 167.98 ± 37.30; for boys (n = 904),absolute value: 6.83 MJ/day, relative: 170.41 ± 39.92 and for girls (n = 936): 6.59 MJ/day (p <0.001)165.64 ± 34.26 (kJ.kg-1.day-1) (p <0.01). The DEE to the school holiday period and was 158.43 ± 42.99and 199.44 ± 18.55 (kJ.kg-1.day-1) (p <0.01) for boys and girls respectively. The DEE during free timewas of 59.86 ± 44.16 for males and 53.81 ± 37.11 (kJ.kg-1.day-1) (p <0.01) for girlsConclusionsOn the basis of good reproducibility and validity of the questionnaire QAPACE applied to students inthe larger study, the DEE (kJ/kg/day) with total body weight or lean weight was less compared to ofother studies giving results for 51% of boys and 61% of inactive girls. Boys were more active than girlsin the post pubertal group (p <0.01). As for the time spent watching TV, it was 4.2 hours/day, and themost popular sports was soccer, cycling, and walking for boys and walking, cycling and skating for

Background: To investigate the link between depressive symptoms and physical activity (PA) by examining their association across genders, age, and race/ethnicity. Methods: Data of the cross-sectional study were from the 2011 and 2015 Behavioral Risk Factor Surveillance System. The Patient Health Questionnaire-8, a well-validated instrument to measure depressive symptoms was used. PA was categorized as active, moderately active, and inactive. A generalized linear model specified with a Poisson distribution and log link was performed to investigate the association between depressive symptoms and PA across population characteristics. Results: No significant association between PA and depressive symptoms between genders and across racial/ethnic groups was found. Persons aged 65 years or older showed a significantly lower risk of depressive symptoms than those below 45 years when physically active (Adjusted Prevalence Ratio (APR) 0.36, 95% CI = 0.16–0.82) and moderately active (APR 0.39, 95% CI = 0.16–0.98). Limitations: The study included only leisure-time PA. Well-designed surveys that reflect a wider scope of PA are needed to strengthen the analysis. Conclusions: Compared to younger adults, older adults may gain further health benefits in reducing the risk of depressive symptoms by being physically active. Similar health benefits may be gained from PA between genders and between racial/ethnic groups. The different association between PA and depressive symptoms provides practical implications for the effective management of depressive symptoms in persons with diabetes.