Using nutritional survey data to inform the design of sugar-sweetened beverage taxes in low-resource contexts: a cross-sectional analysis based on data from an adult Caribbean population.


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
10 09 2020
Historique:
entrez: 11 9 2020
pubmed: 12 9 2020
medline: 15 5 2021
Statut: epublish

Résumé

Sugar-sweetened beverage (SSB) taxes have been implemented widely. We aimed to use a pre-existing nutritional survey data to inform SSB tax design by assessing: (1) baseline consumption of SSBs and SSB-derived free sugars, (2) the percentage of SSB-derived free sugars that would be covered by a tax and (3) the extent to which a tax would differentiate between high-sugar SSBs and low-sugar SSBs. We evaluated these three considerations using pre-existing nutritional survey data in a developing economy setting. We used data from a nationally representative cross-sectional survey in Barbados (2012-2013, prior to SSB tax implementation). Data were available on 334 adults (25-64 years) who completed two non-consecutive 24-hour dietary recalls. We estimated the prevalence of SSB consumption and its contribution to total energy intake, overall and stratified by taxable status. We assessed the percentage of SSB-derived free sugars subject to the tax and identified the consumption-weighted sugar concentration of SSBs, stratified by taxable status. Accounting for sampling probability, 88.8% of adults (95% CI 85.1 to 92.5) reported SSB consumption, with a geometric mean of 2.4 servings/day (±2 SD, 0.6, 9.2) among SSB consumers. Sixty percent (95% CI 54.6 to 65.4) of SSB-derived free sugars would be subject to the tax. The tax did not clearly differentiate between high-sugar beverages and low-sugar beverages. Given high SSB consumption, targeting SSBs was a sensible strategy in this setting. A substantial percentage of free sugars from SSBs were not covered by the tax, reducing possible health benefits. The considerations proposed here may help policymakers to design more effective SSB taxes.

Identifiants

pubmed: 32912976
pii: bmjopen-2019-035981
doi: 10.1136/bmjopen-2019-035981
pmc: PMC7485232
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e035981

Subventions

Organisme : Medical Research Council
ID : MC_UU_00006/3
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_00006/7
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_12015/5
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/K023187/1
Pays : United Kingdom

Informations de copyright

© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Miriam Alvarado (M)

Centre for Diet and Activity Research, MRC Epidemiology Unit, University of Cambridge, Cambridge, UK mra47@cam.ac.uk.

Rachel Harris (R)

Faculty of Medical Sciences, University of the West Indies, Cave Hill, Barbados.

Angela Rose (A)

George Alleyne Chronic Disease Research Centre, Caribbean Institute for Health Research, University of the West Indies at Cave Hill, Bridgetown, Barbados.
Epidemiology Department, Epiconcept, Paris, France.

Nigel Unwin (N)

Global Diet and Activity Research, MRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
College of Medicine and Health, University of Exeter, Truro, UK.

Ian Hambleton (I)

George Alleyne Chronic Disease Research Centre, Caribbean Institute for Health Research, University of the West Indies at Cave Hill, Bridgetown, Barbados.

Fumiaki Imamura (F)

MRC Epidemiology Unit, University of Cambridge, Cambridge, UK.

Jean Adams (J)

Centre for Diet and Activity Research, MRC Epidemiology Unit, University of Cambridge, Cambridge, UK.

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Classifications MeSH