44 research outputs found

    Body Mass Index Percentiles In Adolescents Of The City Of São Paulo, Brazil, And Their Comparison With International Parameters [ppercentis Do índice De Massa Corporal De Adolescentes Na Cidade De São Paulo, Brasil, E Sua Comparação Com Parâmetros Internacionais]

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    Objective: To describe the percentile distribution of body mass index (BMI) in school adolescents, by gender and age, comparing them with international parameters. Subjects and methods: The study included 8,020 adolescents aged 10-15 years from 43 schools in the city of São Paulo, southeastern Brazil. BMI values of the study sample were distributed in percentiles and compared to international parameters (CDC, Must and cols. and Cole and cols.). Results: Both male and female adolescents aged 10 to 14 years showed BMI cut-offs over the international parameters, especially in the P50-P85 percentile range. At the age of 15, the observed values were very similar to reference data; however, BMI values in the 95th percentile were much higher than international parameters. Conclusions: The study results show how important it is to use adequate BMI values for Brazilian adolescents aged 10-15 since international parameters may not reflect the actual nutritional status of this group.543295302Bini, V., Celi, F., Berioli, M.G., Bacosi, M.L., Stella, P., Giglio, P., Body mass index in children and adolescents according to age and pubertal stage (2000) Eur J Clin Nutr, 54 (3), pp. 214-218Pietrobelli, A., Faith, M.S., Allison, D.B., Gallagher, D., Chiumello, G., Heymsfield, S.B., Body mass index as a measure of adiposity among children and adolescents: A validation Study (1998) J Pediatr, 132 (2), pp. 204-210Mei, Z., Grummer, S.L.M., Pietrobelli, A., Goulding, A., Goran, M.I., Dietz, W.H., Validity of body mass index compared with other body-com-position screening indexes for the assessment of body fatness in children and adolescents (2002) Am J Clin Nutr, 75 (6), pp. 978-985Cardiovascular Diseases, , WHO Expert Committee on Hypertension Control., Geneva1994/2001Belizzi, M.C., Dietz, W.H., Workshop on childhood obesity: Summary of the discussion (1999) Am J Clin Nutr, 70 (1), pp. 173S-5SEbbeling, C.B., Pawlak, D.B., Ludwig, D.S., Childhood obesity: Publichealth crisis, common sense cure (2002) Lancet, 360 (9331), pp. 473-482Wang, Y., Wang, J.Q., A comparison of international references for the assessment of child and adolescent overweight and obesity in different populations (2002) Eur J Clin Nutr, 56 (10), pp. 973-982Jelliffe, D.B., The assessment of the nutritional status of the community (1966) WHO Monograph, 53. , Geneva(1971) CDC Growth Charts: United States, , www.cdc.gov/growthcharts, CDC - Center for disease control and prevention. 2000, [online] Hyaltsville: 2002. 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New York: John Wiley SonsCole, T.J., Bellizzi, M.C., Flegal, K.M., Dietz, W.H., Establishing a standard definition for child overweight and obesity worldwide: International Survey (2000) BMJ, 320, pp. 1240-1243Must, A., Dallal, G.E., Dietz, W.H., Reference data for obesity: 85th and 95th percentiles of body mass index (WT/Th2) and triceps skinfold thickness (1991) Am J Clin Nutr, 53 (4), pp. 839-846Baker, J.L., Olsen, L.W., Sørensen, T.I.A., Childhood body mass index and the risk of coronary heart disease in adulthood (2007) N Engl J Med, 357, pp. 2329-2337Thompson, D.R., Obarzanek, E., Franko, D.L., Barton, B.A., Morison, J., Biro, F.M., Childhood overweight and cardiovascular disease risk factors: The National Heart, Lung, and Blood Institute Growth and Health Study (2007) J Pediatr, 150 (1), pp. 18-25Rosa, M.L., Mesquita, E.T., Rocha, E.R., Fonseca, V.M., Body mass index and waist circumference as markers of arterial hipertension in adolescents (2007) Arq Bras Cardiol, 88 (5), pp. 573-578Morrison, J.A., Friedman, L.A., Graymcguire, C., Metaboblic syndrome in childhood predicts adult cardiovascular disease 25 years later: The princeton lipid research clinics follow-up study (2007) Pediatrics, 120 (2), pp. 340-345Mohan, V., Deepa, M., Farooq, S., Narayan, K.M.V., Datta, M., Deepa, R., Anthropometric cut points for identification of cardiometabolic risk factors in an urban Asian Indian population (2007) Metabolism, 56, pp. 961-968Morrison, J.A., Friedman, L.A., Wang, P., Glueck, C.J., Metabolic syndrome in childhood predicts adult metabolic syndrome and type 2 diabetes mellitus 25 to 30 years later (2008) J Pediatr, 152, pp. 201-206Bray, G.A., Jablonski, K.A., Fujimoto, W.Y., Cannor, E.B., Haffner, S., Hanson, R.L., Relation of central adiposity and body mass index to the development of diabetes in the Diabetes Prevention Program (2008) Am J Clin Nutr, 87 (5), pp. 1212-1218Denney, W.E., Hardy, L.L., Dobbins, T., Okely, A.D., Baur, L.A., Body mass index, waist circumference and chronic disease risk factors in Australian adolescents (2008) Arch Pediatr Adolesc Med, 162 (6), pp. 566-573Santos, L.C., Cintra, I.P., Fisberg, M., Martini, L.A., Body trunk fat and insulin resistance in post pubertal obese adolescents (2008) Med J, 126 (2), pp. 82-86Messiah, S.E., Arheart, K.L., Lpshultz, S.E., Miller, T.L., Body Mass Index, waist circumference, and cardiovascular risk factors in adolescents (2008) J Pediatr, 153 (6), pp. 845-850Lawlor, D.A., Hart, C.L., Hole, D.J., Davey, S.G., Reverse causality and confounding and the associations of overweight and obesity with mortality (2006) Obesity, 14, pp. 2294-2304Gelber, R.P., Kurth, T., Manson, J.E., Buring, J.E., Gaziano, J.M., Body mass index and mortality in men: Evaluating the shape of the association (2007) Int J Obes, 31 (8), pp. 1240-1247Cole, T.J., Roede, M.J., Centiles of body mass index for dutch children aged 0-20 years in 1980 - a baseline to assess recent trends in obesity (1999) Ann Hum Biol, 26 (4), pp. 303-308Luciano, A., Bressan, F., Zoppi, G., Body mass index reference curves for children aged 3-19 years from Verona, Italy (1997) Eur J Clin Nutr, 51, pp. 6-10Turconi, G., Guarcello, M., Maccarini, L., Bazzano, R., Zaccardo, A., Roggi, C., BMI values and other anthropometric and functional mea surements as predictors of obesity in a selected group of adolescents (2006) Eur J Nutr, 45, pp. 136-143Guillaume, M., Defining obesity in childhood: Current practice (1999) Am J Clin Nutr, 70, pp. 126S-30SLivingstone, M.B., Childhood obesity in Europe: A growing concern (2001) Public Health Nutr, 4, pp. 109-116Obesity: Preventing and managing the global epidemic (1998) Report of WHO Consultation On Obesity. 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    Unusual magnetic relaxation behavior in La0.5Ca0.5MnO3 and Nd0.5Sr0.5MnO3

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    We have carried out a systematic magnetic relaxation study, measured after applying and switching off a 5 T magnetic field to polycrystalline samples of La0.5Ca0.5MnO3 and Nd0.5Sr0.5MnO3. The long time logarithmic relaxation rate (LTLRR), decreased from 10 K to 150 K and increased from 150 K to 195 K in La0.5Ca0.5MnO3. This change in behavior was found to be related to the complete suppression of the antiferromagnetic phase above 150 K and in the presence of a 5 T magnetic field. At 195 K, the magnetization first decreased, and after a few minutes increased slowly as a function of time. Moreover, between 200 K and 245 K, the magnetization increased throughout the measured time span. The change in the slope of the curves, from negative to positive at about 200 K was found to be related to the suppression of antiferromagnetic fluctuations in small magnetic fields. A similar temperature dependence of the LTLRR was found for the Nd0.5Sr0.5MnO3 sample. However, the temperature where the LTLRR reached the minimum in Nd0.5Sr0.5MnO3 was lower than that of La0.5Ca0.5MnO3. This result agrees with the stronger ferromagnetic interactions that exist in Nd0.5Sr0.5MnO3 in comparison to La0.5Ca0.5MnO3. The above measurements suggested that the general temperature dependence of the LTLRR and the underlying physics were mainly independent of the particular charge ordering system considered. All relaxation curves could be fitted using a logarithmic law at long times. This slow relaxation was attributed to the coexistence of ferromagnetic and antiferromagnetic interactions between Mn ions, which produced a distribution of energy barriers.Comment: Accepted to PRB as a regular article, 10 figures, Scheduled Issue: 01 June 200

    NEOTROPICAL XENARTHRANS: a data set of occurrence of xenarthran species in the Neotropics

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    Xenarthrans – anteaters, sloths, and armadillos – have essential functions for ecosystem maintenance, such as insect control and nutrient cycling, playing key roles as ecosystem engineers. Because of habitat loss and fragmentation, hunting pressure, and conflicts with 24 domestic dogs, these species have been threatened locally, regionally, or even across their full distribution ranges. The Neotropics harbor 21 species of armadillos, ten anteaters, and six sloths. Our dataset includes the families Chlamyphoridae (13), Dasypodidae (7), Myrmecophagidae (3), Bradypodidae (4), and Megalonychidae (2). We have no occurrence data on Dasypus pilosus (Dasypodidae). Regarding Cyclopedidae, until recently, only one species was recognized, but new genetic studies have revealed that the group is represented by seven species. In this data-paper, we compiled a total of 42,528 records of 31 species, represented by occurrence and quantitative data, totaling 24,847 unique georeferenced records. The geographic range is from the south of the USA, Mexico, and Caribbean countries at the northern portion of the Neotropics, to its austral distribution in Argentina, Paraguay, Chile, and Uruguay. Regarding anteaters, Myrmecophaga tridactyla has the most records (n=5,941), and Cyclopes sp. has the fewest (n=240). The armadillo species with the most data is Dasypus novemcinctus (n=11,588), and the least recorded for Calyptophractus retusus (n=33). With regards to sloth species, Bradypus variegatus has the most records (n=962), and Bradypus pygmaeus has the fewest (n=12). Our main objective with Neotropical Xenarthrans is to make occurrence and quantitative data available to facilitate more ecological research, particularly if we integrate the xenarthran data with other datasets of Neotropical Series which will become available very soon (i.e. Neotropical Carnivores, Neotropical Invasive Mammals, and Neotropical Hunters and Dogs). Therefore, studies on trophic cascades, hunting pressure, habitat loss, fragmentation effects, species invasion, and climate change effects will be possible with the Neotropical Xenarthrans dataset
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