10th World Summit on Immunology, Microbiology & Infectious Diseases
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Accepted Abstracts

Prediction Model of Overweight and Obesity in Primary School Children in Urban Areas

Titus Priyo Harjatmo*, Rosmida M Marbun, Ratih Puspitaningtyas 
Ministry of Health, Indonesia

Citation: Harjatmo TP, Marbun RM, Puspitaningtyas R (2020) Prediction Model of Overweight and Obesity  in Primary School Children in Urban Areas. SciTech Immuno-Microbiology 2020

Received: August 19, 2020         Accepted: August 21, 2020         Published: August 21, 2020


Background: Obesity and obesity can occur both in children to adulthood. The prevalence of obesity for children aged 5-12 years is still high at 18.8% consisting of 10.8% overweight and obese at 8.8%. The prevalence of childhood obesity has increased in various countries including Indonesia. The high prevalence of childhood obesity is caused by the growth of urbanization and changes in a person's lifestyle, including energy intake. According to WHO, one in 10 (ten) children in the world are overweight. Increased obesity in children and adolescents is parallel to adults. From the results of previous data collection shows that the proportion of fat and obesity is quite high at 34.5%. Therefore it is necessary to study research to find out the predictive model of obesity and obesity in elementary school children.
Methods: This type of research is a cross sectional study because the independent and dependent variables are measured at the same time. The population in this study were all elementary school children in Kramat Pela Kebayoran Baru, South Jakarta. While the sample is a portion of elementary school children in SD Kramat Pela Kebayoran Baru. Case samples are elementary school children who are overweight and obese (BB / TB> 1.0 elementary school) as many as 35 children and the control sample is elementary school children with normal BB / TB (BB / TB = <1.0 elementary school) as many as 35 children.
Results: From the results of the analysis of physical activity variables showed that the group of children who are obese or obese have an average activity lower than normal school children. Odds Ratio Analysis shows that the risk of being obese or obese is 18.1 times in inactive children compared to active ones (95% CI: 4.60-70.9). Screen time analysis with the incidence of obesity did not show significant.
Conclusions: Growth monitoring needs to be pursued regularly so that efforts to control obesity and obesity in school children can be done.
Keywords: Overweight, Obesity, Prediction model