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海拔、种族宗教、地理距离和职业对喜马拉雅东部人群成年人体测量特征的影响。

Effects of altitude, ethnicity-religion, geographical distance, and occupation on adult anthropometric characters of eastern Himalayan populations.

作者信息

Majumder P P, Gupta R, Mukhopadhyay B, Bharati P, Roy S K, Masali M, Sloan A W, Basu A

出版信息

Am J Phys Anthropol. 1986 Jul;70(3):377-93. doi: 10.1002/ajpa.1330700312.

Abstract

With a view to estimating the effect of altitude on body dimensions vis-à-vis ethnicity-religion, geographical distance, and occupation, a comprehensive multivariate statistical analysis was performed on data pertaining to 16 anthropometric characters collected from 1,103 individuals (643 males and 460 females) belonging to two ethnic groups-Sherpa and Lepcha. Samples were drawn from several locations in the eastern Himalayan region-Darjeeling and Kalimpong in West Bengal (India), and Nepal, situated at low (1,000-2,000 meters) and high (above 3,500 meters) altitudes. The individuals sampled practice different occupations and follow different religions. Significant age and sex effects were observed. The data were age-adjusted, and sexes were treated separately. A test of equality of mean vectors indicated heterogeneity among population groups. Almost all characters were found to contribute significantly to the ability to discriminate between the groups. The overall probability of correctly classifying an individual based on body dimensions into the group in which she or he actually belongs was high (between 0.64 and 0.77). Shape and size factors could be identified that explained about 50% of the total variance and yielded a reasonable separation of the groups. Results of four different types of multivariate statistical analyses were in agreement, and showed that altitude is most highly associated with body dimensions.

摘要

为了评估海拔高度相对于种族宗教、地理距离和职业对身体尺寸的影响,对从属于夏尔巴和雷布查两个民族的1103个人(643名男性和460名女性)收集的16个人体测量特征数据进行了全面的多变量统计分析。样本取自喜马拉雅东部地区的几个地点——印度西孟加拉邦的大吉岭和卡尔西蓬,以及位于低海拔(1000 - 2000米)和高海拔(3500米以上)的尼泊尔。抽样的个体从事不同职业,信奉不同宗教。观察到显著的年龄和性别效应。数据进行了年龄调整,并对性别进行了分别处理。平均向量相等性检验表明群体之间存在异质性。几乎所有特征都被发现对区分群体的能力有显著贡献。根据身体尺寸将个体正确分类到其实际所属群体的总体概率很高(在0.64至0.77之间)。可以识别出形状和大小因素,它们解释了约50%的总方差,并使群体得到合理分离。四种不同类型的多变量统计分析结果一致,表明海拔高度与身体尺寸关联最为紧密。

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