Literature DB >> 9430082

Nutrition research in the media: the challenge facing scientists.

J P Goldberg1, J P Hellwig.   

Abstract

The media is the most popular vehicle through which consumers receive nutrition information, and is powerful in influencing food selection and health behaviors. Unfortunately, media messages surrounding nutrition are often inconsistent, confusing, and do not enable the public to make positive changes in health behaviors. The process to improve this scenario begins with communication between scientists and journalists. Scientists can take several steps to insure the results of their research are reported to the public accurately and, thereby, contribute to the achievement of the nation's public health goals.

Mesh:

Year:  1997        PMID: 9430082

Source DB:  PubMed          Journal:  J Am Coll Nutr        ISSN: 0731-5724            Impact factor:   3.169


  6 in total

1.  Adverse outcomes associated with media exposure to contradictory nutrition messages.

Authors:  Rebekah H Nagler
Journal:  J Health Commun       Date:  2013-10-11

2.  Measuring Media Exposure to Contradictory Health Information: A Comparative Analysis of Four Potential Measures.

Authors:  Rebekah H Nagler; Robert C Hornik
Journal:  Commun Methods Meas       Date:  2012-03-02

3.  Helping journalists get it right: a physicians's guide to improving health care reporting.

Authors:  Karen Stamm; John W Williams; Polly Hitchcock Noël; Rita Rubin
Journal:  J Gen Intern Med       Date:  2003-02       Impact factor: 5.128

4.  'Language is the source of misunderstandings'--impact of terminology on public perceptions of health promotion messages.

Authors:  Christina H Buckton; Michael E J Lean; Emilie Combet
Journal:  BMC Public Health       Date:  2015-06-23       Impact factor: 3.295

5.  Quality assessment of nutrition coverage in the media: a 6-week survey of five popular UK newspapers.

Authors:  Alice R Kininmonth; Nafeesa Jamil; Nasser Almatrouk; Charlotte E L Evans
Journal:  BMJ Open       Date:  2017-12-27       Impact factor: 2.692

6.  Temporal bias in case-control design: preventing reliable predictions of the future.

Authors:  William Yuan; Brett K Beaulieu-Jones; Kun-Hsing Yu; Scott L Lipnick; Nathan Palmer; Joseph Loscalzo; Tianxi Cai; Isaac S Kohane
Journal:  Nat Commun       Date:  2021-02-17       Impact factor: 14.919

  6 in total

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