Related Experiment Video
Updated: Jun 25, 2026

06:48
Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging
Published on: June 7, 2024
Age, altitude and gender differences in body dimensions
Renu Tyagi1, Mary Grace Tungdim, Shaila Bhardwaj
1Department of Anthropology, University of Delhi, India.
Summary
This study compared ageing in high-altitude and plains populations, finding significant gender and age-related differences in physical and physiological traits. Environmental factors influence the rate of ageing.
Area of Science:
- Human biology
- Anthropology
- Gerontology
Background:
- Ageing processes vary across populations.
- Environmental factors like altitude can influence human physiology and physical traits.
- Understanding gender differences in ageing is crucial for public health.
Purpose of the Study:
- To investigate ageing in high-altitude versus plains populations.
- To examine gender differences in physical and physiological traits during ageing.
- To compare anthropometric and physiological variables between two distinct environmental settings.
Main Methods:
- Comparative study of Rajput (high altitude) and Punjabi (plains) populations.
- Measurement of anthropometric variables (stature, weight, skinfolds, circumferences) and physiological variables (heart rate, blood pressure, grip strength).
- Calculation of Cormic Index (CI), Body Mass Index (BMI), and Waist Hip Ratio (WHR); ANOVA for intergroup variation.
Main Results:
- Significant gender differences observed in physiological and some anthropometric variables between high-altitude and plains groups.
- Age significantly influenced both structural and functional variables.
- Plains women were more overweight (BMI 23.9-26.8 kg/m2) than high-altitude women; high-altitude populations generally had normal weight.
Conclusions:
- Environmental conditions significantly impact the rate of ageing.
- Differential ageing rates observed across various dimensions, influenced by altitude and gender.
- High-altitude living may be associated with healthier weight profiles compared to plains populations.
Related Concept Videos
Two-Way ANOVA
The two-way ANOVA is an extension of the one-way ANOVA. It is a statistical test performed on three or more samples categorized by two factors - a row factor and a column factor. Ronald Fischer mentioned it in 1925 in his book 'Statistical Methods for Researchers.'
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the means for...
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the means for...
Factors Affecting Body Temperature
As a nurse, it is vital to understand the factors affecting body temperature to monitor variations and effectively evaluate deviations from regular.
Factors may include:
Factors may include:
Nature and Nurture
Many human characteristics, like height, are shaped by both nature—in other words, by our genes—and by nurture, or our environment. For example, chronic stress during childhood inhibits the production of growth hormones and consequently reduces bone growth and height. Scientists estimate that 70-90% of variation in height is due to genetic differences among individuals, and 10-30% of variation in height is due to differences in the environments that individuals experience, such as differences...
Variation: Normal Distribution, Range, and Standard Deviation
In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
Signs of Puberty
Puberty is a critical phase, typically beginning between the ages of 8 and 13 in girls and 9 and 14 in boys, though timing can vary based on genetics, environmental factors, and overall health. This period is characterized by the development of secondary sexual characteristics and the attainment of reproductive potential. Endocrine changes underpin puberty, with hormonal surges of Luteinizing Hormone (LH) and Follicle-Stimulating Hormone (FSH) instigated by Gonadotropin-Releasing Hormone (GnRH)...
Polygenic Traits
When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
