ObMetrics: A Shiny app to assist in metabolic syndrome assessment in paediatric obesity.
Summary: Objective: To introduce ObMetrics, a free and user‐friendly Shiny app that simplifies the calculation, data analysis, and interpretation of Metabolic Syndrome (MetS) outcomes according to multiple definitions in epidemiological studies of paediatric populations. We illustrate its usefulness...
| Publicado en: | Pediatric Obesity Vol. 20; no. 8; pp. 1 - 18 |
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| Autores principales: | , , , , , , , , , , , , , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Aug2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=186458257&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186458257 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 20476302 ETV7 jtl: Pediatric Obesity issn: 20476302 maglogo: Y pubinfo: dt: Aug2025 vid: 20 iid: 8 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 186458257 184945791 186458257 186458257 10.1111/ijpo.70016 186458257 ppf: 1 ppct: 17 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: ObMetrics: A Shiny app to assist in metabolic syndrome assessment in paediatric obesity. aug: au: Torres‐Martos, Álvaro Requena, Francisco López‐Rodríguez, Guadalupe Hernández‐Cabrera, Jhazmin Galván, Marcos Solís‐Pérez, Elizabeth Romo‐Tello, Susana Jasso‐Medrano, José Luis Vilchis‐Gil, Jenny Klünder‐Klünder, Miguel Martínez‐Andrade, Gloria Enríquez, María Elena Acosta Aristizabal, Juan Carlos Ramírez‐Mena, Alberto Stratakis, Nikos Bustos‐Aibar, Mireia Gil, Ángel Gil‐Campos, Mercedes Bueno, Gloria Leis, Rosaura affil: Department of Biochemistry and Molecular Biology II, Institute of Nutrition and Food Technology 'José Mataix,' Center of Biomedical Research, University of Granada, Granada, Spain sug: subj: Pediatric Obesity Metabolic Syndrome X Epidemiology Metabolic Syndrome X Diagnosis Mobile Applications Utilization Human Funding Source Child Adolescence Comparative Studies Ethnic Groups Case Studies European Americans Hispanic Americans Descriptive Statistics Lipids Metabolism Blood Pressure Anthropometry Insulin Resistance Child: 6-12 years Adolescent: 13-18 years ab: Summary: Objective: To introduce ObMetrics, a free and user‐friendly Shiny app that simplifies the calculation, data analysis, and interpretation of Metabolic Syndrome (MetS) outcomes according to multiple definitions in epidemiological studies of paediatric populations. We illustrate its usefulness using ethnically different populations in a comparative study of prevalence across cohorts and definitions. Methods: We conducted a case study using data from two ethnically diverse paediatric populations: a Hispanic‐American cohort (N = 1759) and a Hispanic‐European cohort (N = 2411). Using ObMetrics, we computed MetS classifications (Cook, Zimmet, Ahrens) and component‐specific z‐scores for each participant to compare prevalences. Results: The analysis revealed significant heterogeneity in MetS prevalence across different definitions and cohorts. According to Cook, Zimmet, and Ahrens's definitions, MetS prevalence in children with obesity was 25%, 12%, and 48%, respectively, in the Hispanic‐European cohort, and 38%, 27%, and 66% in the Hispanic‐American cohort. Calculating component‐specific z‐scores in each cohort also highlighted ethnic‐specific differences in lipid metabolism and blood pressure. By automating these complex calculations, ObMetrics considerably reduced analysis time and minimised the potential for errors. Conclusion: ObMetrics proved to be a powerful tool for paediatric research, generating detailed reports on the prevalence of MetS and its components based on various definitions and reference standards. Our case study further provides valuable insights into the challenges of characterising metabolic health in paediatric populations. Future efforts should focus on developing unified consensus guidelines for paediatric MetS. Meanwhile, ObMetrics enables earlier identification and targeted intervention for high‐risk children and adolescents. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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