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The prospective impact of food pricing on improving dietary consumption: A systematic review and meta-analysis

BACKGROUND: While food pricing is a promising strategy to improve diet, the prospective impact of food pricing on diet has not been systematically quantified. OBJECTIVE: To quantify the prospective effect of changes in food prices on dietary consumption. DESIGN: We systematically searched online dat...

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Detalles Bibliográficos
Autores principales: Afshin, Ashkan, Peñalvo, José L., Del Gobbo, Liana, Silva, Jose, Michaelson, Melody, O'Flaherty, Martin, Capewell, Simon, Spiegelman, Donna, Danaei, Goodarz, Mozaffarian, Dariush
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5332034/
https://www.ncbi.nlm.nih.gov/pubmed/28249003
http://dx.doi.org/10.1371/journal.pone.0172277
Descripción
Sumario:BACKGROUND: While food pricing is a promising strategy to improve diet, the prospective impact of food pricing on diet has not been systematically quantified. OBJECTIVE: To quantify the prospective effect of changes in food prices on dietary consumption. DESIGN: We systematically searched online databases for interventional or prospective observational studies of price change and diet; we also searched for studies evaluating adiposity as a secondary outcome. Studies were excluded if price data were collected before 1990. Data were extracted independently and in duplicate. Findings were pooled using DerSimonian-Laird's random effects model. Pre-specified sources of heterogeneity were analyzed using meta-regression; and potential for publication bias, by funnel plots, Begg's and Egger's tests. RESULTS: From 3,163 identified abstracts, 23 interventional studies and 7 prospective cohorts with 37 intervention arms met inclusion criteria. In pooled analyses, a 10% decrease in price (i.e., subsidy) increased consumption of healthful foods by 12% (95%CI = 10–15%; N = 22 studies/intervention arms) whereas a 10% increase price (i.e. tax) decreased consumption of unhealthful foods by 6% (95%CI = 4–8%; N = 15). By food group, subsidies increased intake of fruits and vegetables by 14% (95%CI = 11–17%; N = 9); and other healthful foods, by 16% (95%CI = 10–23%; N = 10); without significant effects on more healthful beverages (-3%; 95%CI = -16-11%; N = 3). Each 10% price increase reduced sugar-sweetened beverage intake by 7% (95%CI = 3–10%; N = 5); fast foods, by 3% (95%CI = 1–5%; N = 3); and other unhealthful foods, by 9% (95%CI = 6–12%; N = 3). Changes in price of fruits and vegetables reduced body mass index (-0.04 kg/m(2) per 10% price decrease, 95%CI = -0.08–0 kg/m(2); N = 4); price changes for sugar-sweetened beverages or fast foods did not significantly alter body mass index, based on 4 studies. Meta-regression identified direction of price change (tax vs. subsidy), number of intervention components, intervention duration, and study quality score as significant sources of heterogeneity (P-heterogeneity<0.05 each). Evidence for publication bias was not observed. CONCLUSIONS: These prospective results, largely from interventional studies, support efficacy of subsidies to increase consumption of healthful foods; and taxation to reduce intake of unhealthful beverages and foods. Use of subsidies and combined multicomponent interventions appear most effective.