SLOPE (Studying Lifecourse Obesity PrEdictors) : utilising routine - - PowerPoint PPT Presentation

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SLOPE (Studying Lifecourse Obesity PrEdictors) : utilising routine - - PowerPoint PPT Presentation

SLOPE (Studying Lifecourse Obesity PrEdictors) : utilising routine data for the prevention of childhood obesity Dr Nisreen Alwan Associate Professor in Public Health Faculty of Medicine University of Southampton In England .. 2 Source:


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SLOPE

(Studying Lifecourse Obesity PrEdictors) : utilising routine data for the prevention of childhood obesity

Dr Nisreen Alwan

Associate Professor in Public Health Faculty of Medicine University of Southampton

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2

In England ..

Source: Public Health England

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The developmental origins of obesity

Maternal obesity Maternal insulin resistance Lifestyle and behaviour Pregnancy complications Fetal growth restriction Prematurity Postnatal growth Social disadvantage Environment

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No system-based early identification of obesity risk at pregnancy or infancy stage

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The question is ..

Can we use routinely-collected data to quantify childhood

  • besity risk at an early stage

(preconception, pregnancy, infancy) to target preventive interventions?

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UHS

2003-2018

Ordnance Survey Southern Health Solent Health

Population- based linked cohort

The data ..

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84,219 83,481 74,770 30,958 @4/5 19,362 14,611 @10/11

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Predicting childhood obesity risk:

Environmental measures

Risk of childhood

  • besity

Area-level index Maternal factors Early life factors MLM of area factors taking into account individual-level confounding Socio-demographic Physical & built environment

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Interconception changes

Family-centred research Health inequalities

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Routine data

Risk score

Precision Public Health

In conclusion ..

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n.a.alwan@soton.ac.uk

Many thanks to my project team, collaborators & funders: Nida Ziauddeen Sam Wilding Dianna Smith Paul Roderick Nick Macklon Debbie Chase Mark Hanson David Cable Florina Borca Alan Hales Linda Campbell Academy of Medical Sciences Wellcome Trust NIHR Southampton BRC Primary Care and Population Sciences, University of Southampton Ordnance Survey

This research is supported by the NIHR Southampton Biomedical Research Centre. Funded by the National institute for Health Research (NIHR), the Centre is a partnership between University Hospital Southampton NHS Foundation Trust and the University of Southampton. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health.