Evidence map›Paper›PMID 28743536›Full record

ArticleJournal of health economics2017

Vitamin panacea: Is advertising fueling demand for products with uncertain scientific benefit?

Matthew D Eisenberg, Rosemary J Avery, Jonathan H Cantor

Abstract read
In one paragraph

Article in Journal of health economics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Association between neighborhood food environments and bariatric surgery outcomes.Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery · 2022
    Article
  4. 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.

Matthew D EisenbergDepartment of Health Policy and Management, Johns Hopkins University, United States. Electronic address: eisenberg@jhu.edu.
Rosemary J AveryDepartment of Policy Analysis and Management, Cornell University, United States.
Jonathan H CantorWagner School of Public Service, New York University, United States; Department of Population Health, New York University School of Medicine, New York, NY, United States.

Funding

Smoking Cessation and Advertising: An Econometric StudyR01CA113407 · NCI · CORNELL UNIVERSITY · PI MATHIOS, ALAN D · 2006 to 2009
$1.4M
An Economic Study of Three Decades of Smoking CessationR01CA094020 · NCI · CORNELL UNIVERSITY ITHACA · PI KENKEL, DONALD S · 2002 to 2005
$1.1M
NCI NIH HHS R01 CA094020NCI NIH HHS R01 CA113407
6 · The paper itself

Abstract

This study examines the effect of advertising on demand for vitamins-products with spiraling sales despite little evidence of efficacy. We merge seven years (2003-2009) of advertising data from Kantar Media with the Simmons National Consumer Survey to estimate individual-level vitamin print and television ad exposure effects. Identification relies on exploiting exogenous variation in year-to-year advertising exposure by controlling for each individual's unique media consumption. We find that increasing advertising exposure from zero to the mean number of ads increases the probability of consumption by 1.2 and 0.8% points (or 2 and 1.4%) in print and television respectively. Stratifications by the presence of health conditions suggests that in print demand is being driven by both healthy and sick individuals.

Indexed as

AdvertisingAdolescentAdultAgedConsumer BehaviorFemaleHealth Services Needs and DemandHumansMaleMass MediaMiddle AgedModels, EconometricTreatment OutcomeVitaminsYoung AdultVitaminsAdvertisingConsumer behaviorVitamins

Identifiers

PMID28743536
PMCPMC5599169

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.