Relación entre dimensiones antropométricas de tronco y valores de espirometría / Association between anthropometric dimensions of trunk and spirometry indices

Los objetivos del presente estudio fueron primero evaluar la asociación de dimensiones antropométricas de tórax y tronco con índices espirométricos, segundo, ajustar una ecuación de predicción con dimensiones antropométricas de tronco y tercero, comparar nuestro modelo predictivo con dos ecuaciones diagnósticas. Se evaluaron 59 estudiantes universitarios entre 20 y 40 años, de ambos sexos, sin hábito tabáquico. Las variables consideradas fueron: edad, sexo, peso, estatura, diámetro transverso de tórax, diámetro anteroposterior de tórax, perímetro de tórax, altura de tórax, altura de tronco, flujo espiratorio máximo (FEM), volumen espiratorio forzado en el primer segundo (VEF1) y capacidad vital forzada (CVF). Se utilizó el análisis de regresión múltiple para estimar los valores espirométricos en función de las variables demográficas y antropométricas. La CVF y el VEF1 tienen asociación lineal directa con el diámetro transverso de tórax, altura de tórax, perímetro de tórax y altura de tronco. Se ajustó una ecuación de regresión lineal múltiple que indicó que es posible estimar la CVF y el VEF11 en función de la altura de tronco y el perímetro de tórax para ambos sexos. Estas variables son capaces de explicar el 74 % de los valores de CVF y el 68 % de los valores de VEF1. Al comparar los valores obtenidos por nuestras ecuaciones predictivas con las ecuaciones de referencia nacional observamos que nuestros resultados son más cercanos a los de Quanjer et al. (2012) que a los de Knudson et al. (1983). La altura de tronco y el perímetro de tórax tienen asociación directa con el VEF1 y CVF y son buenos predictores del VEF1 y CVF en estudiantes universitarios. Nuestros valores estimados son más cercanos a las ecuaciones de Quanjer et al. (2012) en comparación a las estimaciones de Knudson (1983).

SUMMARY: The purposes of the present study were first to evaluate the association between anthropometric dimensions of the thorax and trunk with spirometric indices, second, to fit a prediction equation with anthropometric dimensions of the trunk, and third, to compare our predictive model with two diagnostic equations. Fifty-nine university students between 20 and 40 years old, of both sexes and non-smokers were recruited. Variables considered were age, sex, weight, height, chest transverse diameter, chest anteroposterior diameter, chest perimeter, chest height, trunk height, maximum expiratory flow (PEF), forced expiratory volume in the first second (FEV1) and forced vital capacity (FVC). Multiple regression analysis was used to estimate spirometric values based on demographic and anthropometric variables. FVC and FEV1 have a direct linear association with chest transverse diameter, chest height, chest circumference, and trunk height. A multiple linear regression equation was fitted, indicating that it is possible to estimate FVC and FEV1 as a function of trunk height and chest girth for both sexes. These variables can explain 74% of the FVC values and 68% of the FEV1 values. Comparing the values obtained by our predictive equations with the national reference equations, we observe that our results are closer to those of Quanjer et al. (2012) than to those of Knudson et al. (1983). Trunk height and chest circumference have a direct association with FEV1 and FVC and are good predictors of FEV1 and FVC in university students. Our estimated values are closer to Quanjer et al. (2012) than Knudson et al. (1983) prediction equations.

Adult Stature Estimation by Multiple Parameters of Body Torso Segment / 法医学杂志

OBJECTIVES@#To promote the further research on body stature estimation and the innovative applications based on the distances between the anatomical landmarks on body torso surface.@*METHODS@#A specification for the collection of distances between the anatomical landmarks on body torso surface was established. The data of 933 cases of adult population in Yangtze River Delta region were collected. Multiple linear regression method was used to statistical analyse and establish the regression equation of stature estimation.@*RESULTS@#A regression equation about 5 variables including gender （x₁）, cervical vertebrae-coccyx line （x₂）, sterna-pubis line （x₃）, distance between acromion and iliospinale anterius （x₄） and shoulder breadth （x₅）, and stature （y） was established, y=105.406+5.414 x₁+0.436 x₂+0.286 x₃+0.225 x₄+ 0.193 x₅.@*CONCLUSIONS@#The method is suitable for the rapid, simple and accurate estimation of stature for the forensic experts.

Estimation of Stature by anthropometric measurements of Inter-Acromial Length.

Stature is an important parameter to establish identity of an unknown corpse. It is being used by medicolegal experts when either complete or parts of human body are recovered. A lot of criteria are available that can be used depending upon the part of the body recovered. To add to these criteria, a study was done with the objective of deriving a regression equation for estimating stature from the inter-acromial length. A cross-sectional study was done during one year period wherein 150 subjects in age group around 23 years were studied. Three sets of regression equations were derived after statistical analysis of the data. The study revealed that there exist a positive and significant correlation between stature and inter-acromial length in both the sexes and that stature can be estimated with the inter-acromial length when only upper parts of the trunk are available.