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

Bibliographic Data

ID8317410
AuthorsP P Majumder (0000-0001-7009-7360, Indian Statistical Institute), Ranjan Gupta (0000-0001-5975-3814, Indian Statistical Institute), B Mukhopadhyay (0000-0001-9247-3988, Indian Statistical Institute), Premananda Bharati (Indian Statistical Institute), Subrata K Roy (0000-0003-2847-1288), Subrata Roy (Indian Statistical Institute), Melchiorre Masali (0000-0002-7111-0683, University of Turin), AW Sloan, A W Sloan (South African Radio Astronomy Observatory), Amitabha Basu (Indian Statistical Institute)
Year1986
Volume70
Issue3
Pages377-393
Publication date1986-07-01
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Physical Anthropology (JOURNAL)
Journal identifiersISSN: 0002-9483 • E-ISSN: 1096-8644
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ajpa.1330700312
PMID3752232
OpenAlexW2051246781
LanguageEN
Citations received6
References cited10

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 contribut 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

Altitude (triangle) · Anthropometry · Archaeology · Ethnic group · Geography · Low altitude · Sociology · Anthropology · Body Composition Measurement Techniques · Demography · Dietary Effects on Health · Mathematics · Morphological variations and asymmetry

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Citations per year0.16
Citation span1989 - 2013 (25)
Highly citedNo

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