Journal of General Dentistry


In the article titled “Anthropometric Characteristics of Underprivileged Adolescents: A Study from Urban Slums of India,” 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 analyzed 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).” 

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