Résumé
Objective T o prom ote the further research on body stature estim ation and the innovative ap-plications based on the distances betw een the anatom ical landm arks on body torso surface. Methods A specification for the collection of distances betw een the anatom ical landm arks on body torso surface w as established. T he data of 933 cases of adult population in Y angtze R iver D elta region w ere collected. M ultiple linear regression m ethod w as used to statistical analyse and establish the regression equation of stature estim ation. Results A regression equation about 5 variables including gender (x1), cervical verte-brae-coccyx line (x2), sterna-pubis line (x3), distance betw een acrom ion and iliospinale anterius (x4) and shoulder breadth (x5), and stature (y) w as established, y=105.406+5.414 x1+0.436 x2+0.286 x3+0.225 x4+0.193 x5. Conclusion T he m ethod is suitable for the rapid, sim ple and accurate estim ation of stature for the forensic experts.
Résumé
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.