The potential impact fraction of population weight reduction scenarios on non-communicable diseases in Belgium: application of the g-computation approach ...

Abstract Background Overweight is a major risk factor for non-communicable diseases (NCDs) in Europe, affecting almost 60% of all adults. Tackling obesity is therefore a key long-term health challenge and is vital to reduce premature mortality from NCDs. Methodological challenges remain however, to provide actionable evidence on the potential health benefits of population weight reduction interventions. This study aims to use a g-computation approach to assess the impact of hypothetical weight reduction scenarios on NCDs in Belgium in a multi-exposure context. Methods Belgian health interview... Mehr ...

Verfasser: Pelgrims, Ingrid
Devleesschauwer, Brecht
Vandevijvere, Stefanie
De Clercq, Eva M.
Van der Heyden, Johan
Vansteelandt, Stijn
Dokumenttyp: Datenquelle
Erscheinungsdatum: 2024
Verlag/Hrsg.: figshare
Schlagwörter: Medicine / Biotechnology / Immunology / FOS: Clinical medicine / Biological Sciences not elsewhere classified / Information Systems not elsewhere classified / Science Policy
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-28970998
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://dx.doi.org/10.6084/m9.figshare.c.7180912.v1

Abstract Background Overweight is a major risk factor for non-communicable diseases (NCDs) in Europe, affecting almost 60% of all adults. Tackling obesity is therefore a key long-term health challenge and is vital to reduce premature mortality from NCDs. Methodological challenges remain however, to provide actionable evidence on the potential health benefits of population weight reduction interventions. This study aims to use a g-computation approach to assess the impact of hypothetical weight reduction scenarios on NCDs in Belgium in a multi-exposure context. Methods Belgian health interview survey data (2008/2013/2018, n = 27 536) were linked to environmental data at the residential address. A g-computation approach was used to evaluate the potential impact fraction (PIF) of population weight reduction scenarios on four NCDs: diabetes, hypertension, cardiovascular disease (CVD), and musculoskeletal (MSK) disease. Four scenarios were considered: 1) a distribution shift where, for each individual with ...