Evidence map›Paper›PMID 29654423›Full record

ReviewCurrent atherosclerosis reports2018

Adoption and Design of Emerging Dietary Policies to Improve Cardiometabolic Health in the US.

Yue Huang, Jennifer Pomeranz, Parke Wilde, Simon Capewell, Tom Gaziano, Martin O'Flaherty, Rogan Kersh, Laurie Whitsel, Dariush Mozaffarian, Renata Micha

Abstract readReview
In one paragraph

Review in Current atherosclerosis reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–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

23 citing papers in PubMed.

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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

10 authors.

Yue HuangFriedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave, Boston, MA, 02111, USA.
Jennifer PomeranzCollege of Global Public Health, New York University, New York, NY, USA.
Parke WildeFriedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave, Boston, MA, 02111, USA.
Simon CapewellDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK.
Tom GazianoDivision of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Martin O'FlahertyDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK.
Rogan KershWake Forest University, Winston-Salem, NC, USA.
Laurie WhitselAmerican Heart Association, Washington, DC, USA.
Dariush MozaffarianFriedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave, Boston, MA, 02111, USA.
Renata MichaFriedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave, Boston, MA, 02111, USA. renata.micha@tufts.edu.

Funding

Economic Analyses of Policy Strategies to Improve Diet and Reduce CVDR01HL130735 · NHLBI · TUFTS UNIVERSITY BOSTON · PI MICHA, EIRINI (RENATA) · 2016 to 2019
$3.1M
NHLBI NIH HHS R01 HL130735
6 · The paper itself

Abstract

purpose of reviewSuboptimal diet is a leading cause of cardiometabolic disease and economic burdens. Evidence-based dietary policies within 5 domains-food prices, reformulation, marketing, labeling, and government food assistance programs-appear promising at improving cardiometabolic health. Yet, the extent of new dietary policy adoption in the US and key elements crucial to define in designing such policies are not well established. We created an inventory of recent US dietary policy cases aiming to improve cardiometabolic health and assessed the extent of their proposal and adoption at federal, state, local, and tribal levels; and categorized and characterized the key elements in their policy design. RECENT

findingsRecent federal dietary policies adopted to improve cardiometabolic health include reformulation (trans-fat elimination), marketing (mass-media campaigns to increase fruits and vegetables), labeling (Nutrition Facts Panel updates, menu calorie labeling), and food assistance programs (financial incentives for fruits and vegetables in the Supplemental Nutrition Assistance Program (SNAP) and Women, Infant and Children (WIC) program). Federal voluntary guidelines have been proposed for sodium reformulation and food marketing to children. Recent state proposals included sugar-sweetened beverage (SSB) taxes, marketing restrictions, and SNAP restrictions, but few were enacted. Local efforts varied significantly, with certain localities consistently leading in the proposal or adoption of relevant policies. Across all jurisdictions, most commonly selected dietary targets included fruits and vegetables, SSBs, trans-fat, added sugar, sodium, and calories; other healthy (e.g., nuts) or unhealthy (e.g., processed meats) factors were largely not addressed. Key policy elements to define in designing these policies included those common across domains (e.g., level of government, target population, dietary target, dietary definition, implementation mechanism), and domain-specific (e.g., media channels for food marketing domain) or policy-specific (e.g., earmarking for taxes) elements. Characteristics of certain elements were similarly defined (e.g., fruit and vegetable definition, warning language used in SSB warning labels), while others varied across cases within a policy (e.g., tax base for SSB taxes). Several key elements were not always sufficiently characterized in government documents, and dietary target selections and definitions did not consistently align with the evidence-base. These findings highlight recent action on dietary policies to improve cardiometabolic health in the US; and key elements necessary to design such policies.

Indexed as

Nutrition PolicyCardiovascular DiseasesDietFood AssistanceHumansMetabolic DiseasesProgram DevelopmentTaxesUnited StatesDietLabelingNutritionPolicySubsidyTax

Identifiers

PMID29654423
PMCPMC6248872

What OpenQuestion holds

Textmetadata
LicenceTDM
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.