/physiological-analyser

This repository includes a project in collaboration with the University of Glasgow which delivers a parsimonious statistical model using appropriate statistical methods to predict grip strength of male university students.

Primary LanguageR

Physiological Measurement Analyser

A sample of first year male statistics students at University of Glasgow had the grip strength of their dominant hand measured using a grip dynamometer. In addition, a number of physiological measurements were made on their dominant hand and arm; width and length (cm) of the hand, circumference (cm) of forearm and bicep, skinfold thickness (mm) of forearm and bicep. The height (cm) and weight (kg) of the students was also recorded. The data are stored in the Stata data file male-grip-strength.dta and contains the following variables:

Explanatory Variable Unit
Hwid - hand width cm
Hlen - hand length cm
Fcirc - forearm circumference cm
Bcirc - bicep circumference cm
Fskin - forearm skinfold mm
Bskin - bicep skinfold mm
Grip - grip strength kg
Weight - weight kg
Height - height cm

Results

The weight and height variables are utilised to create 4 categories of Body Mass Index (BMI) as follows:

(i) underweight <18.499

(ii) Normal 18.5-24.999

(iii) overweight 25-29.999

(iv) obese >=30

A parsimonous model is then identified using appropriate statistical methods for predicting grip strength.