Literature DB >> 35286556

Adults' Reaction to Public Health Messaging: Recall, Media Type, and Behavior Change Motivation.

Kimberly J M Keller1,2, Donna Mehrle Elliott3, Jo Britt-Rankin4,3.   

Abstract

This paper focuses on effective messaging practices identified in data collected after 10 years of implementing a gain-framed messaging campaign encouraging healthier behaviors in middle-aged and older adults. In Study 1, we measured message recall and intended health behaviors in an intercept survey of 733 adults. Binary logistic regression indicated that women were more likely than men to report intent to change behavior. Recalling messages from billboards or fliers was associated with a lower likelihood of intended behavior change, and media type was associated with intended behavior for those who saw the message online (reducing screen time) or on television (increasing physical activity and ceasing smoking). Study 2 focused on adult generational differences in response to the campaign and types of media used to access information. Data from an intercept survey of 604 clients at agencies serving low-income adults were segmented into three age groups: under 35, ages 35-54, and ages 55+. Recall and reaction to campaign materials differed by age group, and the influence of life stage factors and health costs varied across age groups. Television and newspapers were most frequently reported by the oldest group, and social media and online news/blogs were most frequently chosen by the youngest group. Campaign response of adults older than age 35 aligned with goals of improving health behaviors. Together, these studies indicate that diffuse messaging strategies may raise overall awareness, and targeted strategies may be more influential in motivating behavior change. Influential factors and media should be differentially leveraged to target different age cohorts of adults.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Adult; Age differences; Communications media; Gain-framed messaging; Health behavior

Mesh:

Year:  2022        PMID: 35286556     DOI: 10.1007/s10935-021-00661-0

Source DB:  PubMed          Journal:  J Prev (2022)        ISSN: 2731-5533


  13 in total

1.  A meta-analysis of the effect of mediated health communication campaigns on behavior change in the United States.

Authors:  Leslie B Snyder; Mark A Hamilton; Elizabeth W Mitchell; James Kiwanuka-Tondo; Fran Fleming-Milici; Dwayne Proctor
Journal:  J Health Commun       Date:  2004

Review 2.  Health message framing effects on attitudes, intentions, and behavior: a meta-analytic review.

Authors:  Kristel M Gallagher; John A Updegraff
Journal:  Ann Behav Med       Date:  2012-02

3.  Ability of a mass media campaign to influence knowledge, attitudes, and behaviors about sugary drinks and obesity.

Authors:  Myde Boles; Adelle Adams; Amy Gredler; Sonia Manhas
Journal:  Prev Med       Date:  2014-07-24       Impact factor: 4.018

4.  Effects of Gain- and Loss-Framed Quit Messages on Smokers: Test of the Ability to Process the Health Message as a Moderator.

Authors:  Florian Arendt; Julia Bräunlein; Viktoria Koleva; Marina Mergen; Stephanie Schmid; Lisa Tratner
Journal:  J Health Commun       Date:  2018-10-09

5.  Forecasting nutrition research in 2020.

Authors:  Robert M Hackman; Bharat B Aggarwal; Rhona S Applebaum; Ralph W deVere White; Michael A Dubick; David Heber; Toshinori Ito; Guy H Johnson; Carl L Keen; Barbara L Winters; Sidney J Stohs
Journal:  J Am Coll Nutr       Date:  2014-08-21       Impact factor: 3.169

6.  Evaluating Digital Health Interventions: Key Questions and Approaches.

Authors:  Elizabeth Murray; Eric B Hekler; Gerhard Andersson; Linda M Collins; Aiden Doherty; Chris Hollis; Daniel E Rivera; Robert West; Jeremy C Wyatt
Journal:  Am J Prev Med       Date:  2016-11       Impact factor: 5.043

7.  The Pace of Technologic Change: Implications for Digital Health Behavior Intervention Research.

Authors:  Kevin Patrick; Eric B Hekler; Deborah Estrin; David C Mohr; Heleen Riper; David Crane; Job Godino; William T Riley
Journal:  Am J Prev Med       Date:  2016-11       Impact factor: 5.043

8.  Exploring Privilege in the Digital Divide: Implications for Theory, Policy, and Practice.

Authors:  Mei Lan Fang; Sarah L Canham; Lupin Battersby; Judith Sixsmith; Mineko Wada; Andrew Sixsmith
Journal:  Gerontologist       Date:  2019-01-09

9.  Tweet for Behavior Change: Using Social Media for the Dissemination of Public Health Messages.

Authors:  Aisling Gough; Ruth F Hunter; Oluwaseun Ajao; Anna Jurek; Gary McKeown; Jun Hong; Eimear Barrett; Marbeth Ferguson; Gerry McElwee; Miriam McCarthy; Frank Kee
Journal:  JMIR Public Health Surveill       Date:  2017-03-23

10.  The Influence of Gain-Framed and Loss-Framed Health Messages on Nutrition and Physical Activity Knowledge.

Authors:  Deborah S Fetter; Madan Dharmar; Suzanne Lawry-Hall; Jona Pressman; Jamie Chapman; Rachel E Scherr
Journal:  Glob Pediatr Health       Date:  2019-06-27
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.