Evidence map›Paper›PMID 28965002›Full record

ArticleSocial science & medicine (1982)2017

Re-evaluating associations between the Supplemental Nutrition Assistance Program participation and body mass index in the context of unmeasured confounders.

Joseph Rigdon, Seth A Berkowitz, Hilary K Seligman, Sanjay Basu

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

4 authors.

Joseph RigdonQuantitative Sciences Unit, Stanford University School of Medicine, 1070 Arastradero Rd #3C3104 MC 5559, Palo Alto, CA 94304, United States. Electronic address: jrigdon@stanford.edu.
Seth A BerkowitzGeneral Internal Medicine and Diabetes, Massachusetts General Hospital, 50 Staniford St., 9th Floor, Boston, MA 02114, United States. Electronic address: SABerkowitz@mgh.harvard.edu.
Hilary K SeligmanDivision of General Internal Medicine, University of California San Francisco, 1001 Potrero Ave, San Francisco, CA 94110, United States. Electronic address: Hilary.Seligman@ucsf.edu.
Sanjay BasuStanford University School of Medicine, 1070 Arastradero Rd, Palo Alto, CA 94304, United States. Electronic address: basus@stanford.edu.

Funding

UCSF Nutrition Obesity Research CenterP30DK098722 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHRISTIAN VAISSE · 2015 to 2026
$14.6M
Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Cohort filtering models to identify social program effects on health disparitiesDP2MD010478 · NIMHD · STANFORD UNIVERSITY · PI BASU, SANJAY · 2015 to 2015
$2.4M
Understanding & Overcoming Food Insecurity in Diabetes PatientsK23DK109200 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BERKOWITZ, SETH A · 2016 to 2020
$973k
NIDDK NIH HHS K23 DK109200NIDDK NIH HHS L30 DK103291NIDDK NIH HHS P30 DK092924NIDDK NIH HHS P30 DK098722NIMHD NIH HHS DP2 MD010478
6 · The paper itself

Abstract

objectiveTo evaluate the association between participation in the Supplemental Nutrition Assistance Program (SNAP) and body mass index (BMI) in the presence of unmeasured confounding.

methodsWe applied new matching methods to determine whether previous reports of associations between SNAP participation and BMI were robust to unmeasured confounders. We applied near-far matching, which strengthens standard matching by combining it with instrumental variables analysis, to the nationally-representative National Household Food Acquisition and Purchasing Survey (FoodAPS, N = 10,360, years 2012-13).

resultsIn ordinary least squares regressions controlling for individual demographic and socioeconomic characteristics, SNAP was associated with increased BMI (+1.23 kg/m

conclusionsPrevious reports of an association between SNAP and obesity should be viewed with caution, and use of near-far matching may assist similar assessments of health effects of social programs.

Indexed as

Body WeightAdolescentAdultBody Mass IndexCross-Sectional StudiesEducational StatusFemaleFood AssistanceFood SupplyHumansIncomeLogistic ModelsMaleMarital StatusMiddle AgedRacial GroupsInstrumental variablesNear-far matchingSNAPSocial epidemiologyWeak instruments

Identifiers

PMID28965002
PMCPMC5815398

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Registered trials

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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.