Edmonton obesity staging system among pediatric patients: a validation and obesogenic risk factor analysis.

M G Grammatikopoulou, M Chourdakis, K Gkiouras, P Roumeli, D Poulimeneas, E Apostolidou, I Chountalas, I Tirodimos, O Filippou, S Papadakou-Lagogianni, T Dardavessis
Author Information
  1. M G Grammatikopoulou: Laboratory of Hygiene, Department of Medicine, School of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
  2. M Chourdakis: Laboratory of Hygiene, Department of Medicine, School of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece. mhourd@auth.gr. ORCID
  3. K Gkiouras: Laboratory of Clinical Pharmacology, Department of Medicine, School of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece. ORCID
  4. P Roumeli: Department of Nutrition and Dietetics, Alexander Technological Educational Institute, Thessaloniki, Greece.
  5. D Poulimeneas: Department of Nutrition and Dietetics, Alexander Technological Educational Institute, Thessaloniki, Greece.
  6. E Apostolidou: Laboratory of Clinical Pharmacology, Department of Medicine, School of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
  7. I Chountalas: Department of Nutrition and Dietetics, Alexander Technological Educational Institute, Thessaloniki, Greece.
  8. I Tirodimos: Laboratory of Hygiene, Department of Medicine, School of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
  9. O Filippou: Department of Pediatrics, Asklipio General Hospital, Voula, Athens, Greece.
  10. S Papadakou-Lagogianni: Department of Pediatrics, Asklipio General Hospital, Voula, Athens, Greece.
  11. T Dardavessis: Laboratory of Hygiene, Department of Medicine, School of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Abstract

PURPOSE: The Edmonton obesity Staging System for Pediatrics (EOSS-P) is a useful tool, delineating different obesity severity tiers associated with distinct treatment barriers. The aim of the study was to apply the EOSS-P on a Greek pediatric cohort and assess risk factors associated with each stage, compared to normal weight controls.
METHODS: A total of 361 children (2-14 years old), outpatients of an Athenian hospital, participated in this case-control study by forming two groups: the obese (n = 203) and the normoweight controls (n = 158). Anthropometry, blood pressure, blood and biochemical markers, comorbidities and obesogenic lifestyle parameters were recorded and the EOSS-P was applied. Validation of EOSS-P stages was conducted by juxtaposing them with IOTF-defined weight status. Obesogenic risk factors' analysis was conducted by constructing gender-and-age-adjusted (GA) and multivariate logistic models.
RESULTS: The majority of obese children were stratified at stage 1 (46.0%), 17.0% were on stage 0, and 37.0% on stage 2. The validation analysis revealed that EOSS-P stages greater than 0 were associated with diastolic blood pressure and levels of glucose, cholesterol, LDL and ALT. Reduced obesity odds were observed among children playing outdoors and increased odds for every screen time hour, both in the GA and in the multivariate analyses (all P < 0.05). Although participation in sports > 2 times/week was associated with reduced obesity odds in the GA analysis (OR = 0.57, 95% CI = 0.33-0.98, P linear = 0.047), it lost its significance in the multivariate analysis (P linear = 0.145). Analogous results were recorded in the analyses of the abovementioned physical activity risk factors for the EOSS-P stages. Linear relationships were observed for fast-food consumption and IOTF-defined obesity and higher than 0 EOSS-P stages. Parental obesity status was associated with all EOSS-P stages and IOTF-defined obesity status.
CONCLUSIONS: Few outpatients were healthy obese (stage 0), while the majority exhibited several comorbidities. Since each obesity tier entails different impacts to disease management, the study herein highlights modifiable factors facilitating descend to lower stages, and provides insight for designing tailored approaches tackling the high national pediatric obesity rates.

Keywords

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MeSH Term

Adolescent
Body Mass Index
Case-Control Studies
Child
Child, Preschool
Exercise
Factor Analysis, Statistical
Female
Follow-Up Studies
Humans
Life Style
Male
Overweight
Pediatric Obesity
Prognosis
Retrospective Studies
Risk Factors

Word Cloud

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