Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/22370
Title: Childhood Obesity and Academic Performance at School
Authors: Assalla, A.D.N.P.
Keywords: Academic performance, Childhood obesity, Logistic regression, Sri Lanka
Issue Date: 2019
Publisher: Department of Social Statisctics, University of Kelaniya, Sri Lanka
Citation: Assalla, A.D.N.P. (2019). Childhood Obesity and Academic Performance at School, Conference Proceedings: 5th National Research Conference on Applied Social Statistics, Volume 02, December 2019.pp.1
Abstract: Children who are obese are above the normal weight for their age and height. Childhood obesity increases the risk of adulthood obesity and obesity-related diseases such as hypertension, diabetes, and dyslipidemia. Successful academic performance is important during the school years and is also a strong predictor of occupational and social success in adult life. Therefore, the main objective of this study is to examine the association between children’s overweight status and their academic performance. Primary data were obtained from a cross-sectional survey conducted through a structured questionnaire. This study was selected 80 students using simple random sampling techniques as the sample in Attanagalla Divisional Secretariat. Descriptive statistics, correlation analysis, and logistic regression analysis were used to analyze data. Overweight students both girls and boys achieved lower average marks for math and language than their non-overweight peers. It was identified that obesity is negatively associated with academic performance in both genders at school. Age, gender, mother’s BMI, father’s BMI, skipping breakfast, eating fast foods, and snacks have been identified as the key determinant for the development of obesity. The overweight students also demonstrated significantly more detentions, worsened school attendance, and less participation in the school athletic team.
URI: http://repository.kln.ac.lk/handle/123456789/22370
Appears in Collections:NRCASS 2019

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