934 resultados para Total-body Potassium


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OBJECTIVE: Evidence suggests that TV viewing is associated with body mass index (BMI) and metabolic syndrome (MetS) in adolescents. However, it is unclear whether dietary intake mediates these relationships.

METHODS: A cross-sectional analysis was conducted in adolescents (12-19 years) participating in the 2003-2006 United States National Health and Nutrition Examination Survey. BMI z scores (zBMI) (n = 3,161) and MetS (n = 1,379) were calculated using age- and sex-specific criteria for adolescents. TV viewing (h/day) was measured via a self-reported questionnaire, and dietary intake was assessed using two 24-h recalls. Using the MacKinnon method, a series of mediation analyses were conducted examining five dietary mediators (total energy intake, fruit and vegetable intake, discretionary snacks, sugar-sweetened beverages and diet quality) of the relationships between TV viewing and zBMI and MetS.

RESULTS: Small positive relationships were observed between TV viewing and zBMI (β = 0.99, p < 0.001) and TV viewing and MetS (OR = 1.18, p = 0.046). No dietary element appeared to mediate the relationship between TV viewing and zBMI. However, sugar-sweetened beverage consumption and fruit and vegetable intake partially mediated the relationship between TV viewing and MetS, explaining 8.7% and 4.1% of the relationship, respectively.

CONCLUSIONS: These findings highlight the complexity of the relationships between TV viewing, dietary intake and cardiometabolic health outcomes, and that TV viewing should remain a target for interventions.

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O objectivo desta investigação foi analisar a composição corporal e a distribuição de gordura corporal de sujeitos com doença das artérias coronárias (DAC) envolvidos num programa estruturado de reabilitação cardíaca (PRC) e sujeitos com DAC que não participam em qualquer PRC. População e métodos: A amostra foi constituída por 62 sujeitos do sexo masculino, caucasianos, com DAC diagnosticada, oriundos de cada um de dois grupos estudados: grupo C/PRC (n=31) foi constituído por sujeitos que participavam na fase IV de um PRC há mais de um ano (idade: 58 + 10 anos); grupo S/PRC (n=31) foi constituído por sujeitos que não participavam em qualquer PRC (idade: 59 + 12 anos). Foi observada a composição corporal e distribuição de gordura corporal dos sujeitos da amostra, através da análise por Densitometria por Raio-X de Dupla Energia (DXA). Foram recolhidas medidas antropometricas. Resultados principais: sujeitos que não participaram em qualquer PRC apresentaram valores superiores, aos sujeitos do grupo C/PRC, nas variáveis massa corporal total (p<0,05), IMC (p<0,05), quantidade (kg) de massa gorda (MG) (p<0,05) e % MG (p<0,05). O grupo S/PRC tambem apresentou valores superiores de MG tronco (p<0,01), % MG tronco (p<0,01), MG abdominal total (p<0,01), % MG abdominal total (p<0,01), MG visceral (p<0,01), % MG visceral total (p<0,01), MG abdominal subcutânea (p=0,05) e na razao MG abdominal total/MG (p<0,05). Tambem foi possivel observar maior prevalencia de obesidade (IMC> 30 kg/m2) no grupo S/PRC (p<0,05), ou seja, neste grupo um em cada tres sujeitos era obeso, enquanto no grupo C/PRC apenas um em cada dez sujeitos foi assim classificado. Nao foram observadas diferencas significativas entre os grupos nas outras variaveis em estudo, incluindo a massa isenta de gordura total e regional. Conclusões: Os resultados encontrados permitem concluir que os sujeitos que não participaram em qualquer PRC apresentaram um perfil de composição corporal e de distribuicao de gordura corporal menos adequado a sua condicao clinica. A maior quantidade de gordura em depositos especificos, assim como os valores superiores encontrados na razao MG abdominal total/MG, confirmam que estes sujeitos apresentaram uma distribuicao de gordura mais adversa. Estes resultados vao ao encontro da tendencia observada em estudos de intervencao em sujeitos com DAC.

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O objectivo desta investigação foi analisar a composição corporal e a distribuição de gordura corporal de sujeitos com doença das artérias coronárias (DAC) envolvidos num programa estruturado de reabilitação cardíaca (PRC) e sujeitos com DAC que não participam em qualquer PRC. População e métodos: A amostra foi constituída por 62 sujeitos do sexo masculino, caucasianos, com DAC diagnosticada, oriundos de cada um de dois grupos estudados: grupo C/PRC (n=31) foi constituído por sujeitos que participavam na fase IV de um PRC há mais de um ano (idade: 58 + 10 anos); grupo S/PRC (n=31) foi constituído por sujeitos que não participavam em qualquer PRC (idade: 59 + 12 anos). Foi observada a composição corporal e distribuição de gordura corporal dos sujeitos da amostra, através da análise por Densitometria por Raio-X de Dupla Energia (DXA). Foram recolhidas medidas antropometricas. Resultados principais: sujeitos que não participaram em qualquer PRC apresentaram valores superiores, aos sujeitos do grupo C/PRC, nas variáveis massa corporal total (p<0,05), IMC (p<0,05), quantidade (kg) de massa gorda (MG) (p<0,05) e % MG (p<0,05). O grupo S/PRC tambem apresentou valores superiores de MG tronco (p<0,01), % MG tronco (p<0,01), MG abdominal total (p<0,01), % MG abdominal total (p<0,01), MG visceral (p<0,01), % MG visceral total (p<0,01), MG abdominal subcutânea (p=0,05) e na razao MG abdominal total/MG (p<0,05). Tambem foi possivel observar maior prevalencia de obesidade (IMC> 30 kg/m2) no grupo S/PRC (p<0,05), ou seja, neste grupo um em cada tres sujeitos era obeso, enquanto no grupo C/PRC apenas um em cada dez sujeitos foi assim classificado. Nao foram observadas diferencas significativas entre os grupos nas outras variaveis em estudo, incluindo a massa isenta de gordura total e regional. Conclusões: Os resultados encontrados permitem concluir que os sujeitos que não participaram em qualquer PRC apresentaram um perfil de composição corporal e de distribuicao de gordura corporal menos adequado a sua condicao clinica. A maior quantidade de gordura em depositos especificos, assim como os valores superiores encontrados na razao MG abdominal total/MG, confirmam que estes sujeitos apresentaram uma distribuicao de gordura mais adversa. Estes resultados vao ao encontro da tendencia observada em estudos de intervencao em sujeitos com DAC.

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This study examined the prospective associations of reallocating time spent in different types of sedentary behavior, physical activity, and sleep with body mass index (BMI) in children using isotemporal substitution analysis. Methods Chinese children in grades 1-3 were recruited to a cohort study in 2009 and were followed up over a 2-yr period. Reports were gathered from the parents on children's sedentary behavior, sleep duration, and sociodemographic variables. The reported sedentary behavior types were then grouped into three categories: screen time (e.g., watching TV), academic-related activities (e.g., doing homework), and other sedentary behaviors (e.g., sitting and talking). Moderate-to-vigorous physical activity (MVPA) and light-intensity physical activity were assessed by ActiGraph accelerometry (ActiGraph, Pensacola, FL). Isotemporal substitution models were performed to examine the effects of time allocation on BMI. Results A total of 672 children (359 boys, mean age at recruitment = 7.6 yr) who had provided valid accelerometer data for at least one assessment time point were included in the analysis. Controlling for covariates and total behavior time, isotemporal substitution models indicated that the displacement of 30 min·d -1 of other sedentary behaviors with equal amounts of screen time (B = 0.12; 95% confidence interval, 0.04-0.20) or academic-related activities (B = 0.13; 95% confidence interval, 0.04-0.21) was associated with higher BMI. Reallocating 30 min·d -1 of MVPA with each of the sedentary behavior variables resulted in increased BMI. Conclusions The substitution of screen time or academic-related activities with other sedentary behaviors or MVPA was associated with lower BMI in Chinese children.

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The results of two separate searches for the rare two-body charmless baryonic decays B0 -> p pbar and B0s -> p pbar at the LHCb experiment are reported in this thesis. The first analysis uses a data sample, corresponding to an integrated luminosity of 0.9 fb^-1, of proton-proton collision data collected by the LHCb experiment at a centre-of-mass energy of 7 TeV. An excess of B0 -> p pbar candidates with respect to background expectations is seen with a statistical significance of 3.3 standard deviations. This constitutes the first evidence for a two-body charmless baryonic B0 decay. No significant B0s -> p pbar signal was observed. However, a small excess of B0s -> p pbar events allowed the extraction of two sided confidence level intervals for the B0s -> p pbar branching fraction using the Feldman-Cousins frequentist method. This improved the upper limit on the B0s -> p pbar branching fraction by three orders of magnitude over previous bounds. The 68.3% confidence level intervals on the branching fractions were measured to be BF(B0 -> p pbar) = ( 1.47 ^{+0.62}_{-0.51} ^{+0.35}_{-0.14} ) x 10^-8, BF(B0s -> p pbar) = ( 2.84 ^{+2.03}_{-1.68} ^{+0.85}_{-0.18} ) x 10^-8, where the first uncertainty is statistical and the second is systematic. The second analysis followed on from the first LHCb result and included the full 2011 and 2012 samples of proton-proton collision data at centre of mass energies of 7 and 8 TeV, corresponding to a total integrated luminosity of 3.122 fb^-1.

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Introduction: Brazil, is one of the main agricultural producers in the world ranking 1st in the production of sugarcane, coffee and oranges. It is also 2nd as world producer of soybeans and a leader in the harvested yields of many other crops. The annual consumption of mineral fertilizers exceeds 20 million mt, 30% of which corresponds to potash fertilizers (ANDA, 2006). From this statistic it may be supposed that fertilizer application in Brazil is rather high, compared with many other countries. However, even if it is assumed that only one fourth of this enormous 8.5 million km2 territory is used for agriculture, average levels of fertilizer application per hectare of arable land are not high enough for sustainable production. One of the major constraints is the relatively low natural fertility status of the soils which contain excessive Fe and Al oxides. Agriculture is also often practised on sandy soils so that the heavy rainfall causes large losses of nutrients through leaching. In general, nutrient removal by crops such as sugarcane and tropical fruits is much more than the average nutrient application via fertilization, especially in regions with a long history of agricultural production. In the recently developed areas, especially in the Cerrado (Brazilian savanna) where agriculture has expanded since 1980, soils are even poorer than in the "old" agricultural regions, and high costs of mineral fertilizers have become a significant input factor in determining soybean, maize and cotton planting. The consumption of mineral fertilizers throughout Brazil is very uneven. According to the 1995/96 Agricultural Census, only in eight of the total of 26 Brazilian states, were 50 per cent or more of the farms treated "systematically" with mineral fertilizers; in many states it was less than 25 per cent, and in five states even less than 12 per cent (Brazilian Institute for Geography and Statistics; Censo Agropecuario1995/96, Instituto Brazileiro de Geografia e Estadistica; IBGE, www.ibge.gov.br). The geographical application distribution pattern of mineral fertilizers may be considered as an important field of research. Understanding geographical disparities in fertilization level requires a complex approach. This includes evaluation of the availability of nutrients in the soil (and related soil properties e.g. CEC and texture), the input of nutrients with fertilizer application, and the removal of nutrients by harvested yields. When all these data are compiled, it is possible to evaluate the balance of particular nutrients for certain areas, and make conclusions as to where agricultural practices should be optimized. This kind of research is somewhat complicated, because it relies on completely different sources of data, usually from incomparable data sources, e.g. soil characteristics attributed to soil type areas, in contrast to yields by administrative regions, or farms. A priority tool in this case is the Geographical Information System (GIS), which enables attribution of data from different fields to the same territorial units, and makes possible integration of these data in an "inputoutput" model, where "input" is the natural availability of a nutrient in the soil plus fertilization, and "output" export of the same nutrient with the removed harvested yield.