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ABSTRACT: This study covers a fifty-year period between 1953 and 2005 and looks at secular trends in stature, weight and sitting height sizes among French boys and girls between the ages of 3 and 11. A special modelling in function to the age and variable for each child was established so that a comparison could be made in the kinetic growth patterns over these same two periods. Statistical analysis shows a significant increase in growth, of 0.8cm per decade in stature, characterised by a certain increase in the lower limbs and the weight (0.8kg per decade) together with a proportional increase on the body mass index. Positive secular trends of this anthropometric nature are generally thanks to improved eating and sanitary habits and this study enables us to build and elaborate new standards in growth patterns essential for monitoring auxological development in 3 to 11-year-old children in the years 2000 and onwards.
Comptes rendus biologies 02/2012; 335(2):129-34. · 1.71 Impact Factor
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ABSTRACT: The few available studies on fetal age estimation concern very small samples, and statistical analysis is sometimes inadequate. In this survey, we used germs of deciduous teeth to estimate fetal age. Forty-nine fetuses and 40 mandibles were scanned, and observations and measurements were made on DentaScan images. After checking their repeatability and reproducibility (analysis of variance), we defined thresholds using Fisher's linear discriminant analysis to calculate the probability that a fetus was over or below a predefined age threshold. The forensic threshold which is of particular interest in France is 22 weeks amenorrhea. Relationships between fetal age and deciduous germ measurements were then sought by multiple linear regression. The thresholds gave very good results: 91.84% of good probability for the threshold of 22 weeks amenorrhea with no chance of error. The most precise age evaluation obtained nevertheless gave a range of ±4.6 weeks amenorrhea, so greater accuracy is still needed.
Journal of Forensic Sciences 01/2011; 56(1):220-3. · 1.23 Impact Factor
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ABSTRACT: This paper highlights the potential impact points of a child pedestrian during a crash with the front end of a vehicle. Child anthropometry was defined for ages between 3 and 15 years. It was based on the measurement of seven different segment body heights (knee, femur, pelvis, shoulder, neck, chin, vertex) performed on about 2,000 French children. For each dimension, the 5(th), 50(th) and 95(th) percentile values were reported, and the corresponding linear regression lines were given. Then these heights were confronted with three different vehicle shapes, corresponding to a passenger car, a sport utility vehicle and a light truck, to identify impact points. In particular, we show that the thigh is directly hit by the bumper for children above 12 years of age, whereas the head principally impacts the hood. The influence of child anthropometry on the pedestrian trajectory and the comparison with test procedures in regulation are discussed.
Accident; analysis and prevention 11/2010; 42(6):1943-8. · 1.65 Impact Factor
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ABSTRACT: Two probabilist methods of age prediction in children are proposed: they are both based on the radiological presence of erupted teeth or germs. Using an apprenticeship sample of known age and sex, we established several discriminant models (+/- 13, +/- 16, +/- 18 years old). We also evaluated a Bayesian model with the following age groups: < 13, [13-16[, [16-18[, > or = 18 years old, or [X and Y] years old. When applied on a known test sample, Fisher's linear functions presented a success rate greater than 90%, above 13 years threshold, and below 16 and 18 years thresholds, and Bayesian approach, greater than 85%. Therefore, these methods provide an interesting alternative for children age determination that can be applied in biological and forensic anthropology, too.
Comptes Rendus Biologies 04/2003; 326(4):441-8. · 1.53 Impact Factor
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ABSTRACT: The present study proposes equations for age determination both in living and dead children, obtained with the help of stepwise ascending multiple linear regression. The equations should be applied, based on the number of erupted teeth and tooth germs, which were detected on radiographs, during clinical examination and in infant skeletal remains. The proposed equations proved to be efficient just like Demirjian's method used as a reference today, and permit age estimation till 20 years of age.
Forensic Science International 04/2003; 132(1):49-56. · 2.30 Impact Factor
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ABSTRACT: This paper highlights potential impact points of a child pedestrian during a crash with a front end of a vehicle. Child anthropometry is defined for ages between 3 and 15 years. It is based on the measurement of 7 different segment body heights (knee, femur, pelvis, shoulder, neck, chin, vertex) performed on about 2000 French children. For each dimension, the 5th, 50th and 95th percentile values are reported and the corresponding linear regression lines are given. Then, these heights are confronted with three different vehicle shapes corresponding to a passenger car, a sport utility vehicle and a light truck in order to identify impact points. In particular, it is shown that the thigh is directly hit by the bumper for children above 12 years old whereas head impacts principally the hood. Influences of the child anthropometry on the pedestrian trajectory and comparison with tests procedure in regulation are also discussed. child, anthropometry, pedestrian, vehicle shape, accident
Accident Analysis and Prevention.
