Literature DB >> 30739117

Prediction Models for Early Childhood Obesity: Applicability and Existing Issues.

Éadaoin M Butler1,2, José G B Derraik3,4,5, Rachael W Taylor1,6, Wayne S Cutfield1,2.   

Abstract

Statistical models have been developed for the prediction or diagnosis of a wide range of outcomes. However, to our knowledge, only 7 published studies have reported models to specifically predict overweight and/or obesity in early childhood. These models were developed using known risk factors and vary greatly in terms of their discrimination and predictive capacities. There are currently no established guidelines on what constitutes an acceptable level of risk (i.e., risk threshold) for childhood obesity prediction models, but these should be set following consideration of the consequences of false-positive and false-negative predictions, as well as any relevant clinical guidelines. To date, no studies have examined the impact of using early childhood obesity prediction models as intervention tools. While these are potentially valuable to inform targeted interventions, the heterogeneity of the existing models and the lack of consensus on adequate thresholds limit their usefulness in practice.
© 2019 S. Karger AG, Basel.

Entities:  

Keywords:  Children; Intervention; Overweight; Prevention; Risk

Mesh:

Year:  2019        PMID: 30739117     DOI: 10.1159/000496563

Source DB:  PubMed          Journal:  Horm Res Paediatr        ISSN: 1663-2818            Impact factor:   2.852


  5 in total

Review 1.  Genetic Determinants of Childhood Obesity.

Authors:  Sheridan H Littleton; Robert I Berkowitz; Struan F A Grant
Journal:  Mol Diagn Ther       Date:  2020-10-01       Impact factor: 4.074

2.  Predicting the earliest deviation in weight gain in the course towards manifest overweight in offspring exposed to obesity in pregnancy: a longitudinal cohort study.

Authors:  Delphina Gomes; Lien Le; Ulrich Mansmann; Regina Ensenauer; Sarah Perschbacher; Nikolaus A Haas; Heinrich Netz; Uwe Hasbargen; Maria Delius; Kristin Lange; Uta Nennstiel; Adelbert A Roscher
Journal:  BMC Med       Date:  2022-04-14       Impact factor: 8.775

3.  Validity of Scottish predictors of child obesity (age 12) for risk screening in mid-childhood: a secondary analysis of prospective cohort study data-with sensitivity analyses for settings without various routinely collected predictor variables.

Authors:  Gabriela Carrillo-Balam; Lawrence Doi; Louise Marryat; Andrew James Williams; Paul Bradshaw; John Frank
Journal:  Int J Obes (Lond)       Date:  2022-06-03       Impact factor: 5.551

4.  Controlling the obesity pandemic: Geoffrey Rose revisited.

Authors:  John W Frank
Journal:  Can J Public Health       Date:  2022-04-22

5.  Acceptability of early childhood obesity prediction models to New Zealand families.

Authors:  Éadaoin M Butler; José G B Derraik; Marewa Glover; Susan M B Morton; El-Shadan Tautolo; Rachael W Taylor; Wayne S Cutfield
Journal:  PLoS One       Date:  2019-12-02       Impact factor: 3.240

  5 in total

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