Muhammad Aslam
Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan
Saima Altaf
Department of Statistics, PMAS Arid Agricultural University, Rawalpindi, Pakistan
ABSTRACT
Available literature explores that having knowledge about an individuals body weight status, namely about the body mass index (BMI), remains helpful to overcome the problem of obesity. BMI growth chart may be taken as a useful tool in order to know an individuals obesity status in terms of BMI. In the present article, we construct growth charts of BMI for males and females, separately using quantile regression approach. Cross-sectional data comprising of 2000 adult (aged 14 years or more) individuals, both males and females were taken from Multan city as a case study. Following some available studies, we take six powers of the variable age as covariates while running the quantile regression with logarithm of BMI as dependent variable. Thus, obtained plots of BMI against different ages for different quantile settings, are the resultant growth charts. Referring the constructed BMI growth charts, it is reported that BMI for females is quite sensitive to age and the females gradually continue to put on their weights as compared to male especially, for middle ages of 30-45. BMI growth norms, expressed as 5th, 50th and 95th centiles are also discussed and males are reported to be heavier than those of females in their teen-ages.
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How to cite this article
Muhammad Aslam and Saima Altaf, 2011. Construction of Growth Charts of Body Mass Index for Adults in Pakistan: A Quantile Regression Approach. Pakistan Journal of Nutrition, 10: 1179-1182.
DOI: 10.3923/pjn.2011.1179.1182
URL: https://scialert.net/abstract/?doi=pjn.2011.1179.1182
DOI: 10.3923/pjn.2011.1179.1182
URL: https://scialert.net/abstract/?doi=pjn.2011.1179.1182
REFERENCES
- Hooge, D.M., 2004. Meta-analysis of broiler chicken pen trials evaluating dietary mannan oligosaccharide, 1993-2003. Int. J. Poult. Sci., 3: 163-174.
CrossRefDirect Link - Aslam, M., A. Saeed, G.R. Pasha and S. Altaf, 2010. Gender differences of body mass index in adults of Pakistan: A case study of Multan city. Pak. J. Nutr., 9: 162-166.
CrossRef - Aslam, M., A. Saeed, G.R. Pasha and S. Altaf, 2010. Median regression analysis of body mass index of adults in Pakistan. Pak. J. Nutr., 9: 611-615.
CrossRefDirect Link - Bharmal, F.Y., 2000. Trends in nutrition transitions: Pakistan in focus. J. Pak. Med. Assoc., 50: 159-167.
PubMedDirect Link - Cacciari, E., S. Milani, A. Balsamo, F. Dammacco and F. de Luca et al., 2002. Italian cross-sectional growth charts for height, weight and BMI (6-20 y). Eur. J. Clin. Nutr., 56: 171-180.
PubMedDirect Link - Chen, C. and Y. Wei, 2005. Computational issues on quantile regression. Ind. J. Stat. Special Issue on Quantile Regression Related Methods, 67: 399-404.
Direct Link - Deurenberg, P., M. Yap and W.A. Van Staveren, 1998. Body mass index and percent body fat: A meta analysis among different ethnic groups. Int. J. Obes. Relat. Metab. Disord., 22: 1164-1171.
PubMedDirect Link - Ferris, M., S.L. Hogan, H. Chin, D.A. Shoham and D.S. Gipson et al., 2007. Obesity, albuminuria and urinalysis findings in US young adults from the add health wave III study. Clin. J. Am. Soc. Nephrol., 2: 1207-1214.
PubMedDirect Link - Jaleel, R., 2009. Impact of maternal obesity on pregnancy outcome. J. Surgery Pak., 14: 2-6.
Direct Link - Jawad, F., 2005. The obesity epidemic-a challenge of this century. J. Pak. Med. Assocc., 55: 94-94.
PubMedDirect Link - Khan, M.H., H. Khan, G. Sarwar, B. Iftikhar, A. Jan, M. Naimatullah and A. Gul, 2008. Study of obese persons profile at D.I. Khan, NWFP, Pakistan. Gomal J. Med. Sci., 6: 77-80.
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