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i-PATHWAY: Development and validation of a prediction model for childhood obesity in an Australian prospective birth cohort.
Canfell, Oliver J; Littlewood, Robyn; Wright, Olivia R L; Walker, Jacqueline L.
Afiliación
  • Canfell OJ; Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
  • Littlewood R; Digital Health Cooperative Research Centre, Australian Government, Sydney, New South Wales, Australia.
  • Wright ORL; UQ Business School, Faculty of Business, Economics and Law, The University of Queensland, Brisbane, Queensland, Australia.
  • Walker JL; Health and Wellbeing Queensland, Queensland Government, The State of Queensland, Brisbane, Queensland, Australia.
J Paediatr Child Health ; 57(8): 1250-1258, 2021 08.
Article en En | MEDLINE | ID: mdl-33713506
ABSTRACT

AIM:

To develop and validate a model (i-PATHWAY) to predict childhood (age 8-9 years) overweight/obesity from infancy (age 12 months) using an Australian prospective birth cohort.

METHODS:

The Transparent Reporting of a multivariable Prediction model for individual Prognosis or Diagnosis (TRIPOD) checklist was followed. Participants were n = 1947 children (aged 8-9 years) from the Raine Study Gen2 - an Australian prospective birth cohort - who had complete anthropometric measurement data available at follow up. The primary outcome was childhood overweight or obesity (age 8-9 years), defined by age- and gender-specific cut-offs. Multiple imputation was performed to handle missing data. Predictors were selected using 2000 unique backward stepwise logistic regression models. Predictive performance was assessed via calibration, discrimination and decision-threshold analysis. Internal validation of i-PATHWAY was conducted using bootstrapping (1000 repetitions) to adjust for optimism and improve reliability. A clinical model was developed to support relevance to practice.

RESULTS:

At age 8-9 years, 18.9% (n = 367) of children were classified with overweight or obesity. i-PATHWAY predictors included weight change (0-1 year); maternal pre-pregnancy body mass index (BMI); paternal BMI; maternal smoking during pregnancy; premature birth; infant sleep patterns; and sex. After validation, predictive accuracy was acceptable calibration slope = 0.956 (0.952-0.960), intercept = -0.052 (-0.063, -0.048), area under the curve = 0.737 (0.736-0.738), optimised sensitivity = 0.703(0.568-0.790), optimised specificity = 0.646 (0.571-0.986). The clinical model retained acceptable predictive accuracy without paternal BMI.

CONCLUSIONS:

i-PATHWAY is a simple, valid and clinically relevant prediction model for childhood overweight/obesity. After further validation, this model can influence state and national health policy for overweight/obesity screening in the early years.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Obesidad Infantil Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Child / Female / Humans / Infant / Pregnancy País/Región como asunto: Oceania Idioma: En Revista: J Paediatr Child Health Asunto de la revista: PEDIATRIA Año: 2021 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Obesidad Infantil Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Child / Female / Humans / Infant / Pregnancy País/Región como asunto: Oceania Idioma: En Revista: J Paediatr Child Health Asunto de la revista: PEDIATRIA Año: 2021 Tipo del documento: Article País de afiliación: Australia