TITLE:
Measuring the Association of Overweight and Obesity with Human Disease and Other Factors in Bangladesh
AUTHORS:
Md. Roshidul Islam, Md. Anamul Haque
KEYWORDS:
Body Mass Index, Overweight, Obesity, Human Disease, Logistic Regression
JOURNAL NAME:
Open Journal of Statistics,
Vol.10 No.3,
May
13,
2020
ABSTRACT: Overweight
and obesity in people are epidemic in North America and internationally. In the United States, the number of
overweight children and adolescents has doubled in the last two to three
decades, and similar increasing rates are being observed worldwide, including
developing countries as Bangladesh where an increase in Westernization
of behavioral and dietary lifestyles is evident. Human diseases associated with
overweight and obesity are similar in children as in the adult population. The main purpose of this study was to examine
the association between overweight and
obesity with human disease and other factors in Bangladesh. We have attempted
to estimate the relationship between associated variables by using the Pearson Chi-Square test. It also showed how important an individual variable is by itself.
The study also employed a statistical technique namely, logistic
regression analysis which has been used to find
out the association of overweight and obesity with human disease and other factors.
We have seen that 16.96% people are
overweight and 4.14% people are obese, i.e. 21.1% people are overweight or obese in
Bangladesh. From the logistic regression
analysis technique among the independent
variables type of place of residence, Highest educational level,
Wealth index, Current marital status, Ever had vaccination,
Had fever in last two weeks, Had cough in last two weeks, Short, rapid breaths,
Problem in the chest or blocked or running nose have significant effect on dependent variable BMI classification.