Literature DB >> 27956757

How social media influence college students' smoking attitudes and intentions.

Woohyun Yoo1, JungHwan Yang2, Eunji Cho2.   

Abstract

Building on the influence of presumed influence (IPI) model, this study examines how smoking- related messages on social media influence college students' smoking. We surveyed 366 college students from three U.S. Midwestern universities in 2012 and examined the effects of expression and reception of smoking-related messages on smoking using path analysis. We found that the expression and reception of prosmoking messages not only directly affected smoking but also had indirect effects on smoking through (1) perceived peer expression of prosmoking messages and (2) perceived peer smoking norms. For antismoking messages, only reception had a significant indirect influence on smoking through (1) perceived peer reception of antismoking messages and (2) perceived peer smoking norms. In conclusion, social media function as an effective communication channel for generating, sharing, receiving, and commenting on smoking-related content and are thus influential on college students' smoking.

Entities:  

Keywords:  College students; Influence of presumed influence; Smoking attitude; Smoking intention; Social media

Year:  2016        PMID: 27956757      PMCID: PMC5148160          DOI: 10.1016/j.chb.2016.06.061

Source DB:  PubMed          Journal:  Comput Human Behav        ISSN: 0747-5632


  27 in total

1.  Social smoking among US college students.

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Journal:  Pediatrics       Date:  2004-10       Impact factor: 7.124

2.  "I'll be your cigarette--light me up and get on with it": examining smoking imagery on YouTube.

Authors:  Susan R Forsyth; Ruth E Malone
Journal:  Nicotine Tob Res       Date:  2010-07-15       Impact factor: 4.244

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Journal:  Am J Public Health       Date:  2007-06-28       Impact factor: 9.308

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Authors:  Becky Freeman; Simon Chapman
Journal:  Tob Control       Date:  2007-06       Impact factor: 7.552

5.  The influence of tobacco countermarketing ads on college students' knowledge, attitudes, and beliefs.

Authors:  Rebecca Murphy-Hoefer; Andrew Hyland; Cheryl Rivard
Journal:  J Am Coll Health       Date:  2010 Jan-Feb

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Authors:  Jacob B Depue; Brian G Southwell; Anne E Betzner; Barbara M Walsh
Journal:  Am J Health Promot       Date:  2014-03-26

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Authors:  R M Page
Journal:  Psychol Rep       Date:  1998-04

8.  Take two aspirin and tweet me in the morning: how Twitter, Facebook, and other social media are reshaping health care.

Authors:  Carleen Hawn
Journal:  Health Aff (Millwood)       Date:  2009 Mar-Apr       Impact factor: 6.301

9.  Applying linguistic methods to understanding smoking-related conversations on Twitter.

Authors:  Ashley Sanders-Jackson; Cati G Brown; Judith J Prochaska
Journal:  Tob Control       Date:  2013-11-13       Impact factor: 7.552

10.  Communicating genetics and smoking through social media: are we there yet?

Authors:  Sylviane de Viron; L Suzanne Suggs; Angela Brand; Herman Van Oyen
Journal:  J Med Internet Res       Date:  2013-09-09       Impact factor: 5.428

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  16 in total

1.  Exploring How Social Media Exposure and Interactions Are Associated With ENDS and Tobacco Use in Adolescents From the PATH Study.

Authors:  Patricia Cavazos-Rehg; Xiao Li; Erin Kasson; Nina Kaiser; Jacob T Borodovsky; Richard Grucza; Li-Shiun Chen; Laura J Bierut
Journal:  Nicotine Tob Res       Date:  2021-02-16       Impact factor: 4.244

Review 2.  Transformation of Adolescent Peer Relations in the Social Media Context: Part 2-Application to Peer Group Processes and Future Directions for Research.

Authors:  Jacqueline Nesi; Sophia Choukas-Bradley; Mitchell J Prinstein
Journal:  Clin Child Fam Psychol Rev       Date:  2018-09

3.  Tradition Gone Mobile: An Exploration of #Betelnut on Instagram.

Authors:  Wayne Buente; Chamil Rathnayake; Rachel Neo; Francis Dalisay; Hanae Kurihara Kramer
Journal:  Subst Use Misuse       Date:  2020       Impact factor: 2.164

4.  Strategies to find audience segments on Twitter for e-cigarette education campaigns.

Authors:  Kar-Hai Chu; Jon-Patrick Allem; Jennifer B Unger; Tess Boley Cruz; Meleeka Akbarpour; Matthew G Kirkpatrick
Journal:  Addict Behav       Date:  2018-11-14       Impact factor: 3.913

5.  Identifying current Juul users among emerging adults through Twitter feeds.

Authors:  Tung Tran; Melinda J Ickes; Jakob W Hester; Ramakanth Kavuluru
Journal:  Int J Med Inform       Date:  2020-12-10       Impact factor: 4.046

6.  Identifying Key Target Audiences for Public Health Campaigns: Leveraging Machine Learning in the Case of Hookah Tobacco Smoking.

Authors:  Kar-Hai Chu; Jason Colditz; Momin Malik; Tabitha Yates; Brian Primack
Journal:  J Med Internet Res       Date:  2019-07-08       Impact factor: 5.428

7.  Prevalence and predictors of susceptibility and future intention to smoke cigarettes among school-going adolescents in Ibadan, Nigeria.

Authors:  Mary Ebelechukwu Osuh; Omotayo Francis Fagbule; Yetunde Damilola Olatunji
Journal:  Pan Afr Med J       Date:  2020-11-11

8.  Caught in the Crossfire: How Contradictory Information and Norms on Social Media Influence Young Women's Intentions to Receive HPV Vaccination in the United States and China.

Authors:  Shuya Pan; Di Zhang; Jingwen Zhang
Journal:  Front Psychol       Date:  2020-12-03

9.  Whose Post Is It? Predicting E-cigarette Brand from Social Media Posts.

Authors:  Elizabeth A Vandewater; Stephanie L Clendennen; Emily T Hébert; Galya Bigman; Christian D Jackson; Anna V Wilkinson; Cheryl L Perry
Journal:  Tob Regul Sci       Date:  2018-03

10.  Puff or pass: do social media and social interactions influence smoking behaviour of university students? A cross-sectional mixed methods study from Dhaka, Bangladesh.

Authors:  Naym Uddin Roby; M Tasdik Hasan; Sahadat Hossain; Enryka Christopher; Md Kapil Ahmed; Ariful Bari Chowdhury; Shahriar Hasan; Fatema Ashraf
Journal:  BMJ Open       Date:  2020-11-03       Impact factor: 2.692

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