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Response to ‘Clinical relevance and validity of obesity risk prediction tools’ by Redsell et al.

  • Oliver J Canfell (a1) (a2), Robyn Littlewood (a2) (a3), Olivia RL Wright (a1) and Jacqueline L Walker (a1)
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References

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1. Redsell, S,Glazebrook, C,Weng, S et al. (2018) Clinical relevance and validity of obesity risk prediction tools (Letter to the Editor). Public Health Nutr. Published online: 3 September 2018. doi: 10.1017/S136898001800229X
2. Canfell, OJ,Littlewood, R,Wright, ORL et al. (2018) Clinical relevance and validity of tools to predict infant, childhood and adulthood obesity: a systematic review. Public Health Nutr. Published online: 12 July 2018. doi: 10.1017/S1368980018001684
3. Weng, SF,Redsell, SA,Nathan, D et al. (2013) Estimating overweight risk in childhood from predictors during infancy. Pediatrics 132, e414e421.
4. Manios, Y,Vlachopapadopoulou, E,Moschonis, G et al. (2016) Utility and applicability of the ‘Childhood Obesity Risk Evaluation’ (CORE)-index in predicting obesity in childhood and adolescence in Greece from early life: the ‘National Action Plan for Public Health’. Eur J Pediatr 175, 19891996.
5. Redsell, SA,Weng, S,Swift, JA et al. (2016) Validation, optimal threshold determination, and clinical utility of the Infant Risk of Overweight Checklist for early prevention of child overweight. Child Obes 12, 202209.
6. Manios, Y,Birbilis, M,Moschonis, G et al. (2013) Childhood Obesity Risk Evaluation based on perinatal factors and family sociodemographic characteristics: CORE index. Eur J Pediatr 172, 551555.
7. Redsell, SA,Rose, J,Weng, S et al. (2017) Digital technology to facilitate Proactive Assessment of Obesity Risk during Infancy (ProAsk): a feasibility study. BMJ Open 7, e017694.

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