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Enregistrement W2582335804 · doi:10.1016/s2468-2667(17)30012-9

Promotion of healthy food and beverage purchases: are subsidies and consumer education sufficient?

2017· letter· en· W2582335804 sur OpenAlexaboutno aff
Simon Capewell, Ffion Lloyd‐Williams

Notice bibliographique

RevueThe Lancet Public Health · 2017
Typeletter
Langueen
DomaineMedicine
ThématiqueObesity, Physical Activity, Diet
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSubsidyPromotion (chess)BusinessEnvironmental healthHealth promotionFood scienceMedicineMarketingEconomicsPublic healthPolitical scienceNursingBiology

Résumé

récupéré en direct d'OpenAlex

Poor diet accounts for a larger global burden of non-communicable disease than tobacco, alcohol, and physical inactivity combined.1Newton JN Briggs AD Murray CJ et al.Changes in health in England, with analysis by English regions and areas of deprivation, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013.Lancet. 2015; 386: 2257-2274Summary Full Text Full Text PDF PubMed Scopus (240) Google Scholar Furthermore, the burden of non-communicable disease is substantially higher in socioeconomically disadvantaged communities. There is, therefore, an urgent need to identify the most effective and cost-effective interventions to minimise poor diet, by increasing the intake of healthy food and reducing the intake of sugar-sweetened beverages and junk foods that are high in salt, sugar, and saturated fats. The randomised controlled trial of dietary subsidies in socioeconomically disadvantaged communities by Julie Brimblecombe and colleagues,2Brimblecombe J Ferguson M Chatfield MD et al.Effect of a price discount and consumer education strategy on food and beverage purchases in remote Indigenous Australia: a stepped-wedge randomised controlled trial.Lancet Public Health. 2017; (published online Jan 24.)http://dx.doi.org/10.1016/S2468-2667(16)30043-3Google Scholar published in The Lancet Public Health, is therefore of potentially great interest. Using a stepped-wedge trial design, Brimblecombe and colleagues randomly assigned 20 stores serving small indigenous communities across the rural Australian Northern Territories to apply in-store price discounts with or without consumer education. The stores implemented a 20% discount on fruit, vegetables, bottled water, and artificially sweetened soft drinks for 24 weeks. The effect of the discount on the weight of fruit and vegetables and other food purchased during and after the intervention was assessed using weekly store sales data and consumption per capita was estimated. The researchers deserve considerable credit for completing this challenging trial, and generating potentially valuable results that could be useful to policy makers. Benefits were mixed, modest, and potentially negated by unintended consequences. The estimated daily intake (per capita) of fresh and frozen fruit and vegetables at baseline was predictably very low, at just 90 g (37 g for fruit and 53 g for vegetables). WHO recommends up to 600 g per day.3WHOIncreasing fruit and vegetable consumption to reduce the risk of noncommunicable diseases.http://www.who.int/elena/titles/fruit_vegetables_ncds/en/Google Scholar The 20% subsidies resulted in positive, but frustratingly small, absolute improvements. Overall, fruit and vegetable purchases increased by 13% during the intervention and 20% after the intervention. However, this finding represented an additional 18 g, barely equalling a quarter of an apple per day. Consumer education via in-store promotional materials appeared to increase intake by a further 8%, but only during the discount period. This result is consistent with other studies4Hillier-Brown FC Summerbell CD Moore HJ et al.The impact of interventions to promote healthier ready-to-eat meals (to eat in, to take away or to be delivered) sold by specific food outlets open to the general public: a systematic review.Obes Rev. 2017; 18: 227-246Crossref PubMed Scopus (47) Google Scholar that showed small or negligible effects from providing consumer information in both retail and fast-food settings. Unfortunately, the improvements in Brimblecombe and colleagues' study were potentially undermined by a concomitant 13% increase in less healthy food purchases. Although bottled water purchases increased by 18%, sugar-sweetened beverage purchases also increased by 6%, from an already high baseline of 365 g per capita per day. Furthermore, baseline sodium intake of 2623 mg per capita per day (equivalent to 6·5 g salt) rose by approximately 8% during the intervention, and by 14% thereafter. Saturated fat intake rose, and total energy purchased also increased by 7% during the intervention and by 14% after the intervention. Quantitative modelling by ourselves and others suggests that such increases in salt and other adverse risk factors, if sustained, could result in substantial additional disease, potentially neutralising the headline benefits from increased fruit and vegetables.5Kypridemos C, Guzman-Castillo M, Hyseni L, et al. Estimated reductions in cardiovascular and gastric cancer disease burden through salt policies in England: an IMPACTNCD microsimulation study. BMJ Open (in press).Google Scholar These adverse trends reflect firstly, predictable crosselasticities between sugar-sweetened beverages and other food-stuffs; and secondly, factors beyond the researchers' control, notably that the stores reduced the prices of less healthy food by about 5%. Were these retailers perhaps preserving their more profitable lines? The authors acknowledge some of these issues. They observe that elsewhere, bigger subsidies than were used in their study (up to 50%) have achieved bigger benefits, but that these larger discounts generally have bigger political and practical barriers, such as opposition by an industry obliged to maximise profits.6Chan M WHO Director-General addresses health promotion conference.http://www.who.int/dg/speeches/2013/health_promotion_20130610/en/Date: June 10, 2013Google Scholar Useful suggestions for future trials might therefore include simultaneous implementation of subsidies on healthy items and price increases on unhealthy items, replication in diverse settings, and analysis of lag times and hangover effects. Brimblecombe and colleagues concluded that a 20% discount can only increase fruit and vegetable purchases to a certain extent and that other strategies might be needed. Quite so. Happily, the feasibility and effectiveness of national policies taxing sugar and junk food have been shown by governments in Finland, France, and Hungary.7Holt E Hungary to introduce broad range of fat taxes.Lancet. 2011; 378: 755Summary Full Text Full Text PDF PubMed Scopus (33) Google Scholar Other authorities now tax sugary drinks, including Mexico, Finland, Estonia, France, a growing number of US cities, and the UK (from 2018).8Sánchez-Romero LM Penko J Coxson PG et al.Projected impact of Mexico's sugar-sweetened beverage tax policy on diabetes and cardiovascular disease: a modeling study.PLoS Med. 2016; 13: e1002158Crossref PubMed Scopus (98) Google Scholar The mixed and modest benefits reported here represent useful first steps. However, subsidies alone are clearly not sufficient. In addition to randomised controlled trials such as Brimblecombe and colleagues' study, the increasingly solid evidence base underpinning public health nutrition is also powerfully informed by natural experiments, policy analyses, observational studies, and disease modelling. This totality of evidence suggests that effectively addressing poor diet could potentially halve the burden of non-communicable diseases, particularly benefiting disadvantaged communities.9Mozaffarian D Capewell S United Nations' dietary policies to prevent cardiovascular disease.BMJ. 2011; 343: d5747Crossref PubMed Scopus (51) Google Scholar, 10Capewell S Graham H Will cardiovascular disease prevention widen health inequalities?.PLoS Med. 2010; 7: e1000320Crossref PubMed Scopus (232) Google Scholar Optimal diet means substantial increases in fruit and vegetables, pulses, nuts, seeds, fish, seafood, olive oil, and omega-3. But, crucially, radical reductions in junk foods and sugary drinks are also needed.6Chan M WHO Director-General addresses health promotion conference.http://www.who.int/dg/speeches/2013/health_promotion_20130610/en/Date: June 10, 2013Google Scholar, 7Holt E Hungary to introduce broad range of fat taxes.Lancet. 2011; 378: 755Summary Full Text Full Text PDF PubMed Scopus (33) Google Scholar, 8Sánchez-Romero LM Penko J Coxson PG et al.Projected impact of Mexico's sugar-sweetened beverage tax policy on diabetes and cardiovascular disease: a modeling study.PLoS Med. 2016; 13: e1002158Crossref PubMed Scopus (98) Google Scholar, 9Mozaffarian D Capewell S United Nations' dietary policies to prevent cardiovascular disease.BMJ. 2011; 343: d5747Crossref PubMed Scopus (51) Google Scholar Past dietary strategies have failed to stem the ongoing obesity and non-communicable disease epidemics. Policy makers therefore need more powerful approaches. Valuable lessons come from successes in tobacco and alcohol control, in which comprehensive strategies have addressed the 3As of affordability, availability, and acceptability,11Allen K Kypridemos C Hyseni L et al.The effects of maximising the UK's Tobacco Control Score on inequalities in smoking prevalence and premature coronary heart disease mortality: a modelling study.BMC Public Health. 2016; 16: 292Crossref PubMed Scopus (8) Google Scholar and highlighted the effectiveness hierarchy. In other words, downstream preventive activities targeting individuals (such as one-to-one personal advice or health education) depend on a sustained, purposeful response,12McLaren L McIntyre L Kirkpatrick S Rose's population strategy of prevention need not increase social inequalities in health.Int J Epidemiol. 2010; 39: 372-377Crossref PubMed Scopus (184) Google Scholar and consistently achieve small or negligible population benefits. Conversely, upstream policy interventions (eg, smoke-free legislation, alcohol minimum pricing, or regulations reducing salt or eliminating dietary trans fats) are generally more powerful, equitable, rapid, and cost-saving.10Capewell S Graham H Will cardiovascular disease prevention widen health inequalities?.PLoS Med. 2010; 7: e1000320Crossref PubMed Scopus (232) Google Scholar, 13Barton P Andronis L Briggs A McPherson K Capewell S Effectiveness and cost effectiveness of cardiovascular disease prevention in whole populations: modelling study.BMJ. 2011; 343: d4044Crossref PubMed Scopus (146) Google Scholar, 14McGill R Anwar E Orton L et al.Are interventions to promote healthy eating equally effective for all? Systematic review of socioeconomic inequalities in impact.BMC Public Health. 2015; 15: 457Crossref PubMed Scopus (189) Google Scholar, 15Hyseni L Elliot-Green A Lloyd-Williams F et al.Systematic review of dietary salt reduction policies: evidence for an “effectiveness hierarchy”?.J Epidemiol Community Health. 2016; 70: A74-A75Google Scholar, 16Hyseni L Bromley H Lloyd-Williams F et al.Systematic review of dietary trans-fat reduction policies: evidence for an effectiveness hierarchy?.J Epidemiol Community Health. 2016; 70: A41Google Scholar These structural interventions could create healthier food environments for affluent and disadvantaged communities alike. We declare no competing interests. Effect of a price discount and consumer education strategy on food and beverage purchases in remote Indigenous Australia: a stepped-wedge randomised controlled trialA 20% discount can only increase fruit and vegetable purchases to help protect against obesity and diet related disease to a certain extent. Large discounts might have a greater impact than small discounts. Creative merchandising approaches to consumer education could also be considered alongside fiscal interventions to achieve marked improvements in diet. Full-Text PDF Open Access

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,447
Score d'incertitude au seuil0,809

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,097
Tête enseignante GPT0,346
Écart entre enseignants0,250 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations10
Publié2017
Routes d'admission1
Résumé présentoui

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Même revueThe Lancet Public HealthMême sujetObesity, Physical Activity, DietTravaux en français237 207