Related Experiment Video
Updated: Jul 7, 2026

09:36
Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Stature Estimation from Foot Anthropometry in a Pakistani Cohort.
Raheela Irshad1, Ramsha Urooj Baig1, Ramlah Naz1
1Department of Forensic Medicine, Dow University of Health Sciences, Ojha Campus, Karachi, Pakistan.
Summary
Foot length is a reliable indicator of stature, especially in females. This study highlights the strong correlation between foot dimensions and height, useful for forensic estimations.
Area of Science:
- Anthropometry
- Forensic Science
- Human Biology
Background:
- Stature estimation is crucial in forensic investigations.
- Foot anthropometry provides valuable data for human identification.
- Understanding the relationship between foot dimensions and stature is essential.
Purpose of the Study:
- To investigate the correlation between an individual's height and various foot dimensions.
- To assess statistical differences between right and left foot measurements.
- To evaluate foot length as a predictor of stature.
Main Methods:
- A cross-sectional study was conducted with 112 healthy participants aged 18-60 years.
- Stature and detailed foot measurements (length, breadth) were recorded.
- Statistical analysis was performed to determine correlations and differences between measurements.
Main Results:
- Foot length demonstrated the strongest correlation with stature among all measured variables.
- Left foot length in females showed a significant positive correlation with stature (p <0.001).
- Mean height was 65.185 inches; mean left foot length was 9.762 inches and right foot length was 9.591 inches.
Conclusions:
- Foot measurements, particularly foot length, are significantly correlated with stature.
- Foot length is a reliable anthropometric indicator for estimating height.
- Findings have implications for forensic anthropometry in Pakistan.
Related Concept Videos
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...
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...
One-Way ANOVA: Unequal Sample Sizes
One-way ANOVA can be performed on three or more samples of unequal sizes. However, calculations get complicated when sample sizes are not always the same. So, while performing ANOVA with unequal samples size, the following equation is used:
What are Estimates?
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates.
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such as the mean,...
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such as the mean,...
Bootstrapping
The term "bootstrap" originated in the 19th century as a metaphor for self-improvement or achieving something independently, without external assistance. This concept extends to statistical bootstrapping, a self-contained method for estimating population parameters through resampling, even though it can be computationally intensive. Developed by the American statistician Dr. Bradley Efron in 1979, bootstrapping provides a robust way to perform inference when the original sample size is small or...
