Table of Contents
Research Article
Journal of Anthropology
Volume 2017, Article ID 8595129, 2 pages
https://doi.org/10.1155/2017/8595129
Corrigendum

Corrigendum to “Anthropometric Characteristics of Underprivileged Adolescents: A Study from Urban Slums of India”

1Department of Statistics, H. P. T. Arts and R. Y. K. Sc. College, Nashik 422 005, India
2Unit of Nutrition, Department of Lifestyle and Participation, National Institute for Health and Welfare, Helsinki, Finland
3School of Health Sciences, University of Tampere, Tampere, Finland
4Research Center for Child Health, Tampere University and University Hospital and the Science Center of Pirkanmaa Hospital District, Tampere, Finland
5Department of Food and Environmental Sciences, Division of Nutrition, University of Helsinki, 00014 Helsinki, Finland

Correspondence should be addressed to Sushama A. Khopkar; moc.liamg@rakpohkas

Received 24 May 2017; Accepted 29 May 2017; Published 13 July 2017

Copyright © 2017 Sushama A. Khopkar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In the article titled “Anthropometric Characteristics of Underprivileged Adolescents: A Study from Urban Slums of India,” [1] there were errors in Section  3.4, “Regression Analysis,” where the fourth paragraph should read as follows:

“Similarly, odds of thinness versus normal BMI were analysed under the regression models with age as an independent variable and then each of the other variables was added to the model. None of the independent variables showed significant association with thinness among boys (Table  5). However, for girls, age, mother’s education, and household size were significantly associated with thinness. When mother’s education increased from primary or no education to secondary or higher education, the odds of thinness versus normal BMI were reduced by 58%. One unit increase in a girl’s age reduced the odds by 17% while moving from household size of 4 or less to more than 5 reduced the odds by 62%. Once again, dietary data did not show any significant effect. In the multivariate analysis including all the independent variables, age and mother’s education remained significant for girls with similar effects as described above (data not shown).”

Therefore, Table  5 should be corrected as follows.