Statistical Modelling of Nutritional, Educational and Socio-Economic Status of School Going Children
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
Background: Malnutrition is associated with an increase risk of morbidity and mortality and may case an undesirable effect on the growth and development in children. Malnutrition, the condition resulting from faulty nutrition weakens the immune system as well as the nerve system. In our study we try to attempt to develop a model which correlates all the factors associated with the nutritional, educational as well as socio economic status of school going children and gives prevalence in Jammu Division. Method: A cross sectional study in which we explored and nutritional status among the school going children in the age group (11-17) and analyzes the factors associated with malnutrition, education and socio economic status with the help of designed questionnaire and anthropometric measurement from April 2015-March 2016 in Urban and rural blocks of Jammu division and develop logistic regression model. Result: out of 880 children screened, nearly (56) 6.4% students were severe, (98) 11.1% students were overweight and (46) 5.2% were obese. Highest severe incidence of malnutrition is found among male and female in the age group of (13-15) i.e. (22) 4.8% among male and (17) 4.1% among female. The logistic regression for school going children shows that the malnutrition is positively correlated to the nutritional, educational, and socio economic status of their parents. Conclusion: Bearing in mind the burden of malnutrition among school children there is need for periodic screening, awareness at school and parent counselling.
Authors and Affiliations
Santoshi Kumari, Pawan Kumar, V. K. Shivgotra
Keywords
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