Muhammad Aslam
Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan
Aamir Saeed
District Data Manager (Health), NCHD, Bahawalpur, Pakistan
G.R. Pasha
BZU Sub-campus, D.G. Khan, Pakistan
Saima Altaf
Department of Statistics, PMAS Arid Agricultural University, Rawalpindi, Pakistan
ABSTRACT
Body Mass Index (BMI) is considered to be the most popular measure for overweight and obesity. Numerous studies of BMI are limited to compute and interpret different percentiles of BMI and do not account for many other covariates affecting BMI. Conventional regression methods are used for estimating how covariates are related to mean values of the dependent variable but in many situations, we are interested in quantiles rather than in mean values as in the case of BMI analysis. The present study addresses the same using median regression. Some important covariates such as gender, age, marital status, daily working hours, daily exercise routine and number of meat-eaten days per week are included in the study and found to be significant.
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How to cite this article
Muhammad Aslam, Aamir Saeed, G.R. Pasha and Saima Altaf, 2010. Median Regression Analysis of Body Mass Index of Adults in Pakistan. Pakistan Journal of Nutrition, 9: 611-615.
DOI: 10.3923/pjn.2010.611.615
URL: https://scialert.net/abstract/?doi=pjn.2010.611.615
DOI: 10.3923/pjn.2010.611.615
URL: https://scialert.net/abstract/?doi=pjn.2010.611.615
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