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Since the advent of television in the early s, its impact on American life, and especially its impact on children, has been the subject of great interest and great debate....

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Obesity in teens media

   05.05.2019  1 Comments

Through public health studies, specifically on child obesity modeling, research scholars have been attempting to identify the factors affecting obesity using suitable statistical techniques. In recent years, regression, structural equation modeling SEM and partial least squares PLS regression have been the most widely employed statistical modeling techniques in public health studies. The main objective of this study to apply the Taguchi method to introduce a new pattern rather than a model for analyzing the body mass index BMI of children as a representative of childhood obesity levels mainly related to social media use. The data analysis includes two main parts. The first part entails selecting significant indicators for the proposed framework by applying SEM for primary and high school students separately. The second part introduces the Taguchi method as a realistic and reliable approach to exploring which combination of significant variables leads to high obesity levels in children. This study will help research scholars view the data and a pattern rather than a model, as a combination of different factor levels for target factor optimization.

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Obesity in teens media
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Obesity is one of the best-documented outcomes of screen media exposure.

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