A Cross Sectional Study on Estimation of Stature from Head length in the Population of Telangana

K. Srinivasulu, Punyala Kavya Sree, Gaddam Sreenidhi Yadav, Meka Sahasra Reddy, Managali Meghana, Butta Ramesh
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Abstract

Determination of stature from head length is equally significant like determining from other body parts. A cross sectional study on estimation of stature from head length was conducted in the population of Hyderabad, Telangana at Malla reddy institute of medical sciences. Study population consists of 154 members, who include 75 males and 79 females, participants were in the age group of 18-23 years. Data was collected from participants after obtaining informed consent. Measurement of head length was taken from the top of vertex to the bottom of the chin in centimeter (cm) scale. A linear regression formula was obtained to correlate head length and height. Linear regression equations for total study population is Y=77.59 + 4.135( HL), male population is Y=118.5 + 2.46 (HL) and female population is Y=159.71 + 0.062 (HL). Statistical results of the study, R2 = 0.333, Standard error = 0.475 and P value <0.0001 reveals statistical significance of the study. Separate formulae for male and female individuals will give more accurate results. ±5 cm difference in the stature was observed in the study population with the derived equation. Height is aproximately 8 times the head length in Female population and 7.5 times in male population in the study group.
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根据头长估算特兰甘纳邦人口身材的横断面研究
根据头长确定身材与根据身体其他部位确定身材同样重要。马拉-雷迪医学科学研究所在特兰加那邦海得拉巴的人群中开展了一项关于根据头长估计身材的横断面研究。研究对象共有 154 人,其中男性 75 人,女性 79 人,年龄在 18-23 岁之间。研究人员在获得知情同意后收集数据。头长测量以厘米(cm)为单位,从头顶至下巴底部。头长与身高之间的相关性通过线性回归公式得出。研究总人口的线性回归方程为:Y=77.59 + 4.135( HL),男性人口的线性回归方程为:Y=118.5 + 2.46 (HL),女性人口的线性回归方程为:Y=159.71 + 0.062 (HL)。研究的统计结果显示,R2 = 0.333,标准误差 = 0.475,P 值 <0.0001 表明研究具有统计意义。将男性和女性的计算公式分开,可以得出更准确的结果。根据推导出的公式,研究人群的身材差异为 ±5 厘米。在研究组中,女性的身高约为头长的 8 倍,男性的身高约为头长的 7.5 倍。
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