Original Research Article
Year: 2017 | Month: Aug | Volume: 7 | Issue: 8 | Pages: 115-119
The Use of Arm Span as a Predictor of Height in Young Adults: A Cross-Sectional Study
Mudasir Ahmad Khan1, Mukhtar Ahmad Khan2, Majid Ahmad Khan3
1Demonstrator, Department of Anatomy, Government Medical College- Srinagar, India.
2Senior Resident, Department of ENT, SMHS-Hospital, Government Medical College, Srinagar, J&K, India
3PG Scholar, Department of Pathology, SKIMS-Soura, Srinagar, India.
Corresponding Author: Mudasir Ahmad Khan
ABSTRACT
Background: Estimation of stature is based on a principle that every body part bears more or less a constant relationship with height of an individual. Various studies in the past have utilized various body parts such as upper and lower extremities including hand and foot dimensions for the estimation of stature. Our study was intended to find out the correlation between height and arm span.
Aim: To find out correlation and formulate a linear regression equation in order to find out height from arm span.
Materials and Methods: The present study was conducted on a sample of 200 medical students (100 males and 100 females) within the age group of 20-30 years, studying in Government Medical College-Jammu. Only those students were taken who belong to J&K state and have no obvious deformity that can affect the measurements.
Results: Measurements were analyzed statistically to establish the relationship between arm span and stature. The study shows that the arm span bears a statistically significant p<0.001 correlation with stature [r=0.875 in males and r=0.804 in females] and can be an important tool for stature estimation. Linear regression equations were formulated to derive the stature from arm span in both males and females.
Conclusion: The mean stature and arm span of male were more than female with statistical significance. Stature can be accurately estimated from arm span using simple regression equation separately for males and females.
Key words:Arm span, Correlation, Predictor, Height, Regression.