Evidence map›Paper›PMID 34863192›Full record

Trial reportThe international journal of behavioral nutrition and physical activity2021

The impact of financial incentives and restrictions on cyclical food expenditures among low-income households receiving nutrition assistance: a randomized controlled trial.

Sruthi Valluri, Susan M Mason, Hikaru Hanawa Peterson, Simone A French, Lisa J Harnack

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The international journal of behavioral nutrition and physical activity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02643576 (Designing a Food Benefit Program to Optimize Diet Quality for Obesity Prevention), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 20% of its field
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.

NCT02643576 nacompletednot on this map

Designing a Food Benefit Program to Optimize Diet Quality for Obesity Prevention

TypeinterventionalSponsorUniversity of MinnesotaRan2013 to 2016Enrolled296ConditionsFood AssistanceArmsF&V Bonus, Restriction, Bonus & Restriction
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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

5 authors at 1 institution in 1 country.

Sruthi ValluriDivision of Epidemiology & Community Health, School of Public Health, University of Minnesota, 1300 South 2nd Street, Suite 300, Minneapolis, MN, 55454, USA. vall0161@umn.edu.ORCID 0000-0003-4012-6073
Susan M MasonDivision of Epidemiology & Community Health, School of Public Health, University of Minnesota, 1300 South 2nd Street, Suite 300, Minneapolis, MN, 55454, USA.
Hikaru Hanawa PetersonDepartment of Applied Economics, College of Food, Agricultural and Natural Resource Sciences, University of Minnesota, Minneapolis, MN, USA.
Simone A FrenchDivision of Epidemiology & Community Health, School of Public Health, University of Minnesota, 1300 South 2nd Street, Suite 300, Minneapolis, MN, 55454, USA.
Lisa J HarnackDivision of Epidemiology & Community Health, School of Public Health, University of Minnesota, 1300 South 2nd Street, Suite 300, Minneapolis, MN, 55454, USA.
University of Minnesota · US

Funding

Minnesota Obesity Prevention Training (MnOPT)T32DK083250 · NIDDK · UNIVERSITY OF MINNESOTA · PI KOTZ, CATHERINE M, LASKA, MELISSA N. · 2010 to 2024
$5.1M
Designing a Food Benefit Program to Optimize Diet Quality for Obesity PreventionR01DK098152 · NIDDK · UNIVERSITY OF MINNESOTA · PI HARNACK, LISA · 2013 to 2015
$1.5M
NIDDK NIH HHS R01 DK098152NIDDK NIH HHS R01DK098152NIDDK NIH HHS T32 DK083250NIDDK NIH HHS T32DK083250
6 · The paper itself

Abstract

backgroundThe Supplemental Nutrition Assistance Program (SNAP) is the largest anti-hunger program in the United States. Two proposed interventions to encourage healthier food expenditures among SNAP participants have generated significant debate: financial incentives for fruits and vegetables, and restrictions on foods high in added sugar. To date, however, no study has assessed the impact of these interventions on the benefit cycle, a pattern of rapid depletion of SNAP benefits that has been linked to worsening nutrition and health outcomes over the benefit month.

methodsLow-income households not currently enrolled in SNAP (n = 249) received benefits every 4 weeks for 12 weeks on a study-specific benefit card. Households were randomized to one of four study arms: 1) incentive (30% incentive for fruits and vegetables purchased with study benefits), 2) restriction (not allowed to buy sugar-sweetened beverages, sweet baked goods, or candy using study benefits), 3) incentive plus restriction, or 4) control (no incentive or restriction). Weekly household food expenditures were evaluated using generalized estimating equations.

resultsCompared to the control group, financial incentives increased fruit and vegetable purchases, but only in the first 2 weeks after benefit disbursement. Restrictions decreased expenditures on foods high in added sugar throughout the benefit month, but the magnitude of the impact decreased as the month progressed. Notably, restrictions mitigated cyclical expenditures.

conclusionsPolicies to improve nutrition outcomes among SNAP participants should consider including targeted interventions in the second half of the month to address the benefit cycle and attendant nutrition outcomes.

trial registrationClinicalTrial.gov, NCT02643576 . Retrospectively registered December 22, 2014.

Indexed as

Food AssistanceMotivationHealth ExpendituresHumansPovertyUnited StatesVegetablesBenefit cycleCyclical food expendituresFinancial incentivesFinancial restrictionsSupplemental nutrition assistance program

Identifiers

PMID34863192
PMCPMC8642917
OpenAlexW4200062181

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.