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Stature Estimation for Sichuan Han Nationality Female Based on X-Ray Technol-ogy with Measurement of Lumbar Vertebrae / 法医学杂志
J. forensic med ; Fa yi xue za zhi;(6): 344-347, 2013.
Article in Zh | WPRIM | ID: wpr-498852
Responsible library: WPRO
ABSTRACT
Objective To establish the mathematical models of stature estimation for Sichuan Han female with measurement of lumbar vertebrae by X-ray to provide essential data for forensic anthropology re-search. Methods The samples, 206 Sichuan Han females, were divided into three groups including group A, B and C according to the ages. Group A(206 samples) consisted of all ages, group B(116 samples) were 20-45 years old and 90 samples over 45 years old were group C. All the samples were examined lumbar vertebrae through C Rtechnology, including the parameters of five centrums (L1-L5) as anterior border, posterior border and central heights (x1-x15), total central height of lumbar spine (x16), and the real height of every sample.The linear regression analysis was produced using the parameters to establish the mathematical models of stature estimation. Sixty-two trained subjects were tested to verify the accuracy of the mathematical models. Results The established mathematical models by hypothesis test of linear regression equation model were statistically significant (P<0.05).The standard errors of the equation were 2.982-5.004 cm, while correlation coefficients were 0.370-0.779 and multiple correlation coefficients were 0.533-0.834.The return tests of the highest correlation coefficient and multiple correlation coefficient of each group showed that the highest accuracy of the multiple regression equation, y=100.33+1.489 x3-0.548 x6+0.772 x9+0.058 x12+0.645 x15, in group Awere 80.6% (±1SE ) and 100% (±2SE ). Conclusion The established mathematical models in this study could be applied for the stature estimation for Sichuan Han females.
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Full text: 1 Index: WPRIM Language: Zh Journal: Fa yi xue za zhi / J. forensic med Year: 2013 Type: Article
Full text: 1 Index: WPRIM Language: Zh Journal: Fa yi xue za zhi / J. forensic med Year: 2013 Type: Article