RÉSUMÉ
O objetivo deste estudo foi comparar o peso e altura aferidos com métodos de estimativa correspondentes em pacientes internados em um hospital da cidade de Juiz de Fora. Estudo transversal realizado no período de maio a dezembro de 2016 com a coleta dos seguintes dados: gênero, idade, raça, motivo da internação, peso, altura, altura do joelho, circunferência do braço, abdominal e da panturrilha, comprimento do braço e da ulna, semi-envergadura do braço e dobra cutânea subescapular. Foi empregado teste t pareado para comparar os valores de peso e altura aferidos foram com aqueles obtidos a partir de fórmulas de estimativa, considerando nível de significância estatística o valor de p < 0,05. Foram avaliados 90 pacientes, sendo 53,3% mulheres, 67,7% adultos e 68,9% eutróficos. Para a estimativa de peso corporal, as fórmulas de CHUMLEA et al. (1985) e (1994), RABITO et al. (2008) e MARTÍN et al. (2013) não se diferenciaram da medida de peso aferido (p > 0,05). Para a estimativa de altura, as fórmulas que não se diferenciaram foram as de CHUMLEA et al. (1985), CHUMLEA et al. (1994) e SILVEIRA et al. (1994) (p > 0,05). Concluiu-se que as equações de estimativa de peso e altura que utilizaram medidas de circunferências e altura do joelho em suas fórmulas se demonstraram adequadas para a estimativa de peso e altura em adultos e idosos hospitalizados. A escolha do método deverá ser baseada conforme disponibilidade de equipamentos e avaliadores treinados para realização das medidas.
The objective of this study was to compare the weight and height measured with corresponding estimation methods in patients admitted to a hospital in the city of Juiz de Fora. A cross-sectional study was carried out between May and December 2016, with the following data: gender, age, race, reason for hospitalization, weight, height, knee height, arm circumference, abdominal and calf circumference, length of arm and ulna, arm half-wingspan and subscapular skinfold. A paired t-Test was used to compare the values of weight and height measured with those obtained from estimation formulas, considering a level of statistical significance at p < 0,05. Ninety patients were evaluated, being 53,3% female, 67,7% adult and 68,9% eutrophic. For the estimation of body weight, the formulas of CHUMLEA et al. (1985) and (1994), RABITO et al. (2008) and MARTÍN et al. (2013) did not differ from the measured weight measure (p> 0,05). For height estimation, the formulas that did not differ were those of CHUMLEA et al. (1985), CHUMLEA et al. (1994) and SILVEIRA et al. (1994) (p> 0,05). It was concluded that the weight and height estimation equations that used circumference and knee height measurements in their formulas were adequate for estimating weight and height in hospitalized adults and elderly patients. The choice of method should be based on the availability of equipment and trained evaluators to carry out the measures.
Sujet(s)
Poids , Anthropométrie , Taille , Indice de masse corporelle , État nutritionnel , Probabilité , Patients hospitalisésRÉSUMÉ
Four anthropometric-measurements (weight, height, head ciroumference and chest circumference) of 38342 children aged from birth to 12 years in PLA were made. The results showed that the growth and development of military children conform to the general laws of physicl development of children. The mean weight, head ciroumference and chest ciroumference by age of children aged from birth to 7 years in PLA were higher than that in the nine cities.
RÉSUMÉ
The body surface of thirty children was measured basically by the method of Du Bois but a very fitted cotton-made thin underwear was put on before winded with adhesive bondages to fix all the body shapes. The cloth that covered the body was removed by cutting along the middle line of each parts that wrapped and put on a standard paper to measure it's areas.The correlation of body height and weight with body surface was estimated and an equation made:S (surface in cm2) =42.3556XH +175.6882XW-272.2716The theoretical value by this equation for the 30 children is 7248.8cm2 and by the equation of Du Bois is 7096.3 cm2, but there is no statistical difference between those two figures. On the basis of the deviation (Y-Y)2 from both two formulas ours is much better.