Evidence map›Paper›PMID 26370554›Full record

ReviewCurrent cardiology reports2015

CVD Prevention Through Policy: a Review of Mass Media, Food/Menu Labeling, Taxation/Subsidies, Built Environment, School Procurement, Worksite Wellness, and Marketing Standards to Improve Diet.

Ashkan Afshin, Jose Penalvo, Liana Del Gobbo, Michael Kashaf, Renata Micha, Kurtis Morrish, Jonathan Pearson-Stuttard, Colin Rehm, Siyi Shangguan, Jessica D Smith and 1 more

Abstract readReview
In one paragraph

Review in Current cardiology reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 11 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

85 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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  6. Systematic Review on International Salt Reduction Policy in Restaurants.International journal of environmental research and public health · 2020
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  9. Healthy food procurement and nutrition standards in public facilities: evidence synthesis and consensus policy recommendations.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2018
    Pooled it
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25 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ashkan AfshinFriedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave, Boston, MA, 02111, USA. Ashkan.Afshin@tufts.edu.
Jose PenalvoFriedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave, Boston, MA, 02111, USA. Jose.Penalvo@tufts.edu.
Liana Del GobboFriedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave, Boston, MA, 02111, USA. Liana.Del_Gobbo@tufts.edu.
Michael KashafFriedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave, Boston, MA, 02111, USA. MKashaf1990@gmail.com.
Renata MichaFriedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave, Boston, MA, 02111, USA. Renata.Micha@tufts.edu.
Kurtis MorrishFriedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave, Boston, MA, 02111, USA. Kurtis.Morrish@tufts.edu.
Jonathan Pearson-StuttardDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK. Jonathan.Pearson-Stuttard@medsci.ox.ac.uk.
Colin RehmFriedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave, Boston, MA, 02111, USA. Colin.Rehm@tufts.edu.
Siyi ShangguanFriedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave, Boston, MA, 02111, USA. Sysgserene@gmail.com.
Jessica D SmithFriedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave, Boston, MA, 02111, USA. jesmith@hsph.harvard.edu.
Dariush MozaffarianFriedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave, Boston, MA, 02111, USA. Dariush.Mozaffarian@tufts.edu.

Funding

Cost-Effectiveness of Health System and State-Level Strategies to Improve Diet and Reduce Cardiometabolic DiseasesR01HL115189 · NHLBI · TUFTS UNIVERSITY BOSTON · PI DARIUSH MOZAFFARIAN · 2013 to 2026
$8.2M
NHLBI NIH HHS R01 HL115189
6 · The paper itself

Abstract

Poor diet is the leading cause of cardiovascular disease in the USA and globally. Evidence-based policies are crucial to improve diet and population health. We reviewed the effectiveness for a range of policy levers to alter diet and diet-related risk factors. We identified evidence to support benefits of focused mass media campaigns (especially for fruits, vegetables, salt), food pricing strategies (both subsidies and taxation, with stronger effects at lower income levels), school procurement policies (for increasing healthful or reducing unhealthful choices), and worksite wellness programs (especially when comprehensive and multicomponent). Evidence was inconclusive for food and menu labeling (for consumer or industry behavior) and changes in local built environment (e.g., availability or accessibility of supermarkets, fast food outlets). We found little empiric evidence evaluating marketing restrictions, although broad principles and large resources spent on marketing suggest utility. Widespread implementation and evaluation of evidence-based policy strategies, with further research on other strategies with mixed/limited evidence, are essential "population medicine" to reduce health and economic burdens and inequities of diet-related illness worldwide.

Indexed as

Health PolicyCardiovascular DiseasesDietEnvironment DesignEvidence-Based MedicineFoodHealth PromotionHumansMarketingMass MediaOccupational HealthSchoolsTaxesAdvertisingDietLabelingPolicyRegulationSchoolsSubsidyTaxWorksite

Identifiers

PMID26370554
PMCPMC4569662

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.