Evidence map›Paper›PMID 31415263›Full record

ArticleJournal of public health management and practice : JPHMP

Identifying Novel Predictors of State Legislative Action to Address Obesity.

Abigail Arons, Jennifer Pomeranz, Rita Hamad

Abstract read
In one paragraph

Article in Journal of public health management and practice : JPHMP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  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

3 authors.

Abigail AronsDepartments of Medicine and Pediatrics, University of California Los Angeles, Los Angeles, California (Dr Arons); Department of Public Health Policy and Management, College of Global Public Health, New York University, New York, New York (Dr Pomeranz); and Philip R. Lee Institute for Health Policy Studies, Department of Family and Community Medicine, University of California San Francisco, San Francisco, California (Dr Hamad).
Jennifer Pomeranz
Rita Hamad

Funding

Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Assessing the Impact of Educational Interventions on Reducing Disparities in Hypertension and Related BiomarkersK08HL132106 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAMAD, RITA · 2016 to 2019
$668k
NCATS NIH HHS UL1 TR001085NCATS NIH HHS UL1 TR003142NHLBI NIH HHS K08 HL132106
6 · The paper itself

Abstract

objectiveThere is wide variation in the number and types of obesity policies enacted across states, and prior studies suggest that partisan factors may not fully explain this variation. In this exploratory analysis, we examined the association of a broad array of state-level factors with the number and types of obesity policies across states.

designWe analyzed 32 predictor variables across 7 categories of state-level characteristics. We abstracted data from 1652 state obesity policies introduced during 2009-2014. We used multilevel regression models and principal component analysis to examine the association between state-level characteristics and policy outcomes.

main outcome measuresOur outcome measures included whether bills involved topics that were public health-oriented or business interest-oriented, whether bills were enacted into law, and the number of introduced bills and enacted laws per state.

resultsNumerous state-level characteristics were associated with obesity-related bill introduction and law enactment, and different state characteristics were associated with public health-oriented versus business interest-oriented policies. For example, state-level demographics, economic factors, policy environment, public programs, and the prevalence of obesity's downstream consequences were associated with the number of public health laws whereas obesity prevalence and policy environment were associated with the number of business interest laws.

conclusionsOur results support the hypothesis that a variety of factors contribute to a complex state obesity policymaking environment, highlighting the need for future research to disentangle these key predictors.

Indexed as

ObesityPolicy MakingHumansPrevalencePublic HealthUnited States

Identifiers

PMID31415263
PMCPMC7012724

What OpenQuestion holds

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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.