IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i15p9160-d872884.html
   My bibliography  Save this article

Anxiety Disorder and Smoking Behavior: The Moderating Effects of Entertainment and Informational Television Viewing

Author

Listed:
  • Juwon Hwang

    (School of Media and Strategic Communications, Oklahoma State University, Stillwater, OK 74078, USA)

  • Porismita Borah

    (Edward R. Murrow College of Communication, Washington State University, Pullman, WA 99163, USA)

Abstract

Smoking is more common among individuals with mental health issues than those who do not have mental illnesses. In particular, among individuals with an anxiety disorder, a high prevalence of smoking has been found. Mood adjustment theory suggests that individuals with negative moods could adjust their moods depending on the type of television they watched. To understand this relationship better, we aim to examine how different television viewing can moderate the tendency of smoking behavior for individuals with an anxiety disorder. We used national U.S. survey data and concepts from the mood adjustment theory to answer our research questions. Our main contributions were to: (1) extend the mood adjustment theory by focusing on the association between a diagnosed mental disorder (i.e., anxiety) and risky behavior (i.e., smoking), and (2) examine the nuances of television genres by dividing entertainment television into excitement-valenced and ambiguously-valenced entertainment programs, along with information programs. The primary findings show that individuals with an anxiety disorder were more likely to smoke and this association was significantly attenuated when they watched cartoons, sports, and health information programs, but the positive association between an anxiety disorder and the extent of smoking was intensified when they watched drama, music, sci-fi, and television news. Patients with an anxiety disorder may take advantage of excitement-valenced entertainment programs and health-related information but need to be cautious in choosing ambiguously-valenced entertainment programs and news.

Suggested Citation

  • Juwon Hwang & Porismita Borah, 2022. "Anxiety Disorder and Smoking Behavior: The Moderating Effects of Entertainment and Informational Television Viewing," IJERPH, MDPI, vol. 19(15), pages 1-13, July.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:9160-:d:872884
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/15/9160/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/15/9160/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. McClave, A.K. & McKnight-Eily, L.R. & Davis, S.P. & Dube, S.R., 2010. "Smoking characteristics of adults with selected lifetime mental illnesses: Results from the 2007 national health interview survey," American Journal of Public Health, American Public Health Association, vol. 100(12), pages 2464-2472.
    2. Sato, Koryu & Viswanath, Kasisomayajula & Hayashi, Hana & Ishikawa, Yoshiki & Kondo, Katsunori & Shirai, Kokoro & Kondo, Naoki & Nakagawa, Keisuke & Kawachi, Ichiro, 2019. "Association between exposure to health information and mortality: Reduced mortality among women exposed to information via TV programs," Social Science & Medicine, Elsevier, vol. 221(C), pages 124-131.
    3. Rusdi Abd Rashid & Sharmilla Kanagasundram & Mahmoud Danaee & Hazreen Abdul Majid & Ahmad Hatim Sulaiman & Muhammad Muhsin Ahmad Zahari & Chong Guan Ng & Benedict Francis & Wan Azlinda Irnee Wan Husin, 2019. "The Prevalence of Smoking, Determinants and Chance of Psychological Problems among Smokers in an Urban Community Housing Project in Malaysia," IJERPH, MDPI, vol. 16(10), pages 1-9, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Panagis Galiatsatos & MopeninuJesu Oluyinka & Jihyun Min & Raiza Schreiber & Dina G. Lansey & Ruth Ikpe & Manuel C. Pacheco & Victoria DeJaco & Alejandra Ellison-Barnes & Enid Neptune & Norma F. Kanar, 2022. "Prevalence of Mental Health and Social Connection among Patients Seeking Tobacco Dependence Management: A Pilot Study," IJERPH, MDPI, vol. 19(18), pages 1-9, September.
    2. Seok Hyun Gwon & Young Ik Cho & Han Joo Lee & Soonhwa Paek & Phoenix A. Matthews, 2022. "Moderating Effects of Smoking Status on the Relationships Between Mental Health Problems and Poor Sleep," SAGE Open, , vol. 12(1), pages 21582440221, March.
    3. Kayla A Chase & Benjamin Feiner & Marcia J Ramaker & Edward Hu & Cherise Rosen & Rajiv P Sharma, 2019. "Examining the effects of the histone methyltransferase inhibitor BIX-01294 on histone modifications and gene expression in both a clinical population and mouse models," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-17, June.
    4. Syed Hassan Raza & Moneeba Iftikhar & Bahtiar Mohamad & Nilüfer Pembecioğlu & Mohsin Altaf, 2020. "Precautionary Behavior Toward Dengue Virus Through Public Service Advertisement: Mediation of the Individual’s Attention, Information Surveillance, and Elaboration," SAGE Open, , vol. 10(2), pages 21582440209, May.
    5. K. Viswanath & Rachel Faulkenberry McCloud & Edmund W. J. Lee & Mesfin A. Bekalu, 2022. "Measuring What Matters: Data Absenteeism, Science Communication, and the Perpetuation of Inequities," The ANNALS of the American Academy of Political and Social Science, , vol. 700(1), pages 208-219, March.
    6. Sydney A Martinez & Laura A Beebe & David M Thompson & Theodore L Wagener & Deirdra R Terrell & Janis E Campbell, 2018. "A structural equation modeling approach to understanding pathways that connect socioeconomic status and smoking," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-17, February.
    7. Linda L Magnusson Hanson & Paraskevi Peristera & Holendro Singh Chungkham & Hugo Westerlund, 2016. "Longitudinal Mediation Modeling of Unhealthy Behaviors as Mediators between Workplace Demands/Support and Depressive Symptoms," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-14, December.
    8. Yim Wah Mak & Vico C. L. Chiang & Alice Yuen Loke, 2020. "Experiences of Tobacco Use among Chinese Individuals with Schizophrenia in Community-Based Residential Settings: A Qualitative Study," IJERPH, MDPI, vol. 17(1), pages 1-11, January.
    9. Amedeo Minichino & Francesco Saverio Bersani & Wanda Katharina Calò & Francesco Spagnoli & Marta Francesconi & Roberto Vicinanza & Roberto Delle Chiaie & Massimo Biondi, 2013. "Smoking Behaviour and Mental Health Disorders—Mutual Influences and Implications for Therapy," IJERPH, MDPI, vol. 10(10), pages 1-22, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:9160-:d:872884. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.