ArticleInternational journal of environmental research and public health2018
Effect of Social Media on Child Obesity: Application of Structural Equation Modeling with the Taguchi Method.
Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Comprehensive genomic analysis of a novelMicrobiology spectrum · 2026Article
- Impact of excessive social media use on adolescent depression and its consequences in France: An individual-based microsimulation model.PLoS medicine · 2025Article
- Empowering postpartum women: the role of mHealth apps in promoting mental health and obesity prevention.BMC women's health · 2025Article
- Mediating Role of Physical Activity in the Relationship between Personality Traits and Body Mass Index (BMI) among the Participants of the Employees' Health Cohort Study of Iran (EHCSIR): A Generalized Structural Equation Modeling.Iranian journal of public health · 2025Article
- Weight excess among high-school students: Relation with mental health and sociodemographic factors.La Tunisie medicale · 2024Article
- Associations between social network addiction, anxiety symptoms, and risk of metabolic syndrome in Peruvian adolescents-a cross-sectional study.Frontiers in public health · 2024Article
- Screen Time and Its Health Consequences in Children and Adolescents.Children (Basel, Switzerland) · 2023Review
- Evaluation of depression and obesity indices based on applications of ANOVA, regression, structural equation modeling and Taguchi algorithm process.Frontiers in psychology · 2023Article
- Neighborhood Food Environment and Children's BMI: A New Framework with Structural Equation Modeling.Nutrients · 2022Article
- The Use of Social Media in Children and Adolescents: Scoping Review on the Potential Risks.International journal of environmental research and public health · 2022Article
- Identification of the opportunities and threats of using social media among Iranian adolescent girls.Heliyon · 2022Article
- #childhoodobesity - A brief literature review of the role of social media in body image shaping and eating patterns among children and adolescents.Frontiers in pediatrics · 2022Review
- Adolescent Obesity Modeling: A Framework of Socio-Economic Analysis on Public Health.Healthcare (Basel, Switzerland) · 2021Article
- A community perspective of COVID-19 and obesity in children: Causes and consequences.Obesity medicine · 2021Review
- Postpartum depression symptoms in survey-based research: a structural equation analysis.BMC public health · 2021Article
- Associations of Body Mass Index with Demographics, Lifestyle, Food Intake, and Mental Health among Postpartum Women: A Structural Equation Approach.International journal of environmental research and public health · 2020Article
- Social Media-Based Health Management Systems and Sustained Health Engagement: TPB Perspective.International journal of environmental research and public health · 2019Article
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Authors and funding
5 authors.
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Abstract
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. AMOS software (IBM, Armonk, NY, USA) was applied in the first part of data analysis and MINITAB software (Minitab Inc., State College, PA, USA) was utilized for the Taguchi experimental analysis (second data analysis part). 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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